2025 Data Science & AI Masters From Python To Gen AI ~ Udemy - Satyajit Pattnaik

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2025 Data Science & AI Masters From Python To Gen AI ~ Udemy - Satyajit Pattnaik

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2025 Data Science & AI Masters From Python To Gen AI ~ Udemy - Satyajit Pattnaik
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00. Additional Files
02. - Python+Installation+Guide.pdf
PDF
841.95 KB
10 - Power+BI+Ebook.pdf
PDF
14.38 MB
10 - RAG+with+GrokAI.ipynb
IPYNB
20.04 KB
10 - RAG+with+Ollama.ipynb
IPYNB
10 KB
10 - RAGPaper (1).pdf
PDF
864.57 KB
10 - RAGPaper.pdf
PDF
864.57 KB
01. Introduction
1 Welcome Page.mp4
MP4
51.49 MB
02. Python for Data Science
10 Datatypes Operators.mp4
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364.22 MB
11 Lists.mp4
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465.6 MB
12 Tuples.mp4
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424.24 MB
13 Sets.mp4
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220.6 MB
14 Dictionary.mp4
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297.26 MB
15 Loops & Iterations.mp4
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336.17 MB
16 Functions.mp4
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393.85 MB
17 Map Reduce Filter.mp4
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514.75 MB
18 File Handling.mp4
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327.29 MB
19 Control Structures.mp4
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171.9 MB
20 OOPs.mp4
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335.18 MB
21 NumPy.mp4
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485.43 MB
22 Pandas.mp4
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567.4 MB
23 Data Visualization.mp4
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113.44 MB
24 Matplotlib.mp4
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449.69 MB
25 Seaborn.mp4
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325.23 MB
5 Let's install Python together!!.mp4
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273.19 MB
6 Google Colab, what's that.mp4
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51.36 MB
7 Let's leverage chatGPT for help!!.mp4
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70.76 MB
8 Introduction to Python.mp4
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94.25 MB
9 Variables & Keywords.mp4
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352.33 MB
03. Business Statistics
27 Introduction.mp4
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42.33 MB
28 Types of Data (Agenda).mp4
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3.18 MB
29 Descriptive Stats.mp4
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79.79 MB
30 Inferential Stats.mp4
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13.38 MB
31 Qualitative Data.mp4
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50.03 MB
32 Quantitative Data.mp4
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20.51 MB
33 Sampling Techniques (Agenda).mp4
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7.62 MB
34 Population vs Sample.mp4
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17.9 MB
35 Why Sampling is important.mp4
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17 MB
36 Types of Sampling.mp4
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20.74 MB
37 Cluster Random Sampling.mp4
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30.59 MB
38 Probability Sampling.mp4
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40.69 MB
39 Non probability sampling.mp4
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31.45 MB
40 Population Sampling.mp4
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56.37 MB
41 Why n-1 and not n.mp4
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32.83 MB
42 Descriptive Analytics (Agenda).mp4
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4.97 MB
43 Measures of Central Tendency.mp4
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9.09 MB
44 Mean.mp4
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26.98 MB
45 Median.mp4
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36.45 MB
46 Mode.mp4
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28.12 MB
47 Measures of Dispersion.mp4
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21.57 MB
48 Range.mp4
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7.26 MB
49 IQR.mp4
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19.47 MB
50 Variance Standard Deviation.mp4
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56.38 MB
51 Mean Deviation.mp4
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18.94 MB
52 Probability (Agenda).mp4
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4.67 MB
53 Probability.mp4
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41.99 MB
54 Addition Rule.mp4
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45.38 MB
55 Independent Events.mp4
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25.97 MB
56 Cumulative Probability.mp4
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29.42 MB
57 Conditional Probability.mp4
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57.91 MB
58 Bayes Theorem 1.mp4
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9.45 MB
59 Bayes Theorem 2.mp4
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24.97 MB
60 Probability Distrubution (Agenda).mp4
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10.38 MB
61 Uniform Distribution.mp4
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44.12 MB
62 Binomial Distribution.mp4
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70.84 MB
63 Poisson Distribution.mp4
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18.84 MB
64 Normal Distribution Part 1.mp4
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77.48 MB
65 Normal Distribution Part 2.mp4
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34.26 MB
66 Skewness.mp4
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25.21 MB
67 Kurtosis.mp4
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14.06 MB
68 Calc Prob w Z-score - Normal Distrib Pt 1.mp4
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49.64 MB
69 Calc Prob w Z-score - Normal Distrib Pt 2.mp4
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46.98 MB
70 Calc Prob w Z-score - Normal Distrib Pt 3.mp4
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27 MB
71 Covariance & Correlation (Agenda).mp4
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72 Covariance.mp4
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73 Correlation.mp4
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74 Covariance VS Correlation.mp4
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26.64 MB
75 Hypothesis Testing.mp4
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76 Tailed Tests.mp4
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77 p-value.mp4
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32 MB
78 Types of Test.mp4
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26.87 MB
79 T Test.mp4
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51.26 MB
80 Z Test.mp4
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67.39 MB
81 Chi Square Test.mp4
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67.34 MB
82 ANOVA.mp4
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68.94 MB
83 Correlation Test (Practicals).mp4
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44.6 MB
04. Exploratory Data Analysis
100 Types of Data.mp4
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10.97 MB
101 Types of Analysis.mp4
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12.03 MB
102 Univariate Analysis.mp4
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103 Bivariate Analysis.mp4
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104 Multivariate Analysis.mp4
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5.23 MB
105 Numerical Analysis.mp4
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19.41 MB
106 Analysis Practicals.mp4
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211.54 MB
107 Derived Metrics.mp4
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26.53 MB
108 Feature Binning (Theory).mp4
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44.16 MB
109 Feature Binning (Practicals).mp4
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71.01 MB
110 Feature Encoding (Theory).mp4
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111 Feature Encoding (Practicals).mp4
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112 Case Study.mp4
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113 Data Exploration.mp4
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151.44 MB
114 Data Cleaning.mp4
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73.51 MB
115 Univariate Analysis.mp4
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116 Bivariate Analysis Part 1.mp4
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129.32 MB
117 Bivariate Analysis Part 2.mp4
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54.46 MB
118 EDA Report.mp4
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35.83 MB
85 Agenda.mp4
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15.24 MB
86 DA,DS Processes.mp4
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24.27 MB
87 What is EDA.mp4
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27.14 MB
88 Visualization.mp4
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30.52 MB
89 Steps involved in EDA (Data Sourcing).mp4
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28.8 MB
90 Steps involved in EDA (Data Cleaning).mp4
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30.44 MB
91 Handle Missing Values (Theory).mp4
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58.52 MB
92 Handle Missing Values (Practicals).mp4
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92.11 MB
93 Feature Scaling (Theory).mp4
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74.23 MB
94 Standardization Example.mp4
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22.66 MB
95 Normalization Example.mp4
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13.95 MB
96 Feature Scaling (Practicals).mp4
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111.56 MB
97 Outlier Treatment (Theory).mp4
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59.81 MB
98 Outlier Treatment (Practicals).mp4
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102.74 MB
99 Invalid Data.mp4
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42.51 MB
05. SQL for Data Science
120 Installation.mp4
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59.09 MB
121 Data Architect - File server vs client server.mp4
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119.34 MB
122 Introduction to SQL.mp4
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164.5 MB
123 Constraints in SQL.mp4
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289.4 MB
124 Table Basics - DDLs.mp4
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125 Table Basics - DQLs.mp4
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126 Table Basics - DMLs.mp4
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127 Joins.mp4
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128 Data Import Export.mp4
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545.58 MB
129 Aggregation Functions.mp4
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211.19 MB
130 String functions.mp4
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287.89 MB
131 Date Time Functions.mp4
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233.88 MB
132 Regular Expressions.mp4
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133 Nested Queries.mp4
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134 Views.mp4
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222.76 MB
135 Stored Procedures.mp4
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136 Windows Function.mp4
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365.77 MB
137 SQL Python connectivity.mp4
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341.27 MB
06. Machine Learning
138 Agenda.mp4
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13.74 MB
139 Introduction to ML.mp4
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32.17 MB
140 Types of ML.mp4
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104.93 MB
141 Use Cases Part 1.mp4
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19.87 MB
142 Use Cases Part 2.mp4
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8.04 MB
143 Pre-Requisites Features.mp4
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88.74 MB
144 Pre-Requisites Train-Test Split.mp4
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115.75 MB
145 Pre-Requisites Feature Scaling.mp4
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74.24 MB
146 Pre-Requisites Standardization Example.mp4
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22.66 MB
147 Pre-Requisites Normalization Example.mp4
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13.95 MB
148 Pre-Requisites Feature Encoding.mp4
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83.76 MB
149 Pre-Req Feature Encoding (Practicals).mp4
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78.84 MB
150 Regression Intro to Regression Models.mp4
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38.9 MB
151 Regression Regression Metrics.mp4
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151.37 MB
152 Regression Regression Metrics (Practicals).mp4
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102.58 MB
153 Regression Simple Linear Regression.mp4
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55.94 MB
154 Regression Multiple Linear Regression.mp4
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51.48 MB
155 Regression Linear Regression (Practicals).mp4
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210.8 MB
156 Regress Multi Linear Regress (Practicals).mp4
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96.24 MB
157 Regression Polynomial Regression.mp4
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39.25 MB
158 Regression Polynomial Regress (Practicals).mp4
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176.58 MB
159 Regression Bias Variance Tradeoff.mp4
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30.95 MB
160 Regression Ridge Regression.mp4
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55.15 MB
161 Regression Lasso Regression.mp4
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43.86 MB
162 Regress Lasso, Ridge Regress (Practicals).mp4
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335.38 MB
163 Classification Intro to Classification.mp4
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41.27 MB
164 Classification Types of Classification.mp4
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25.69 MB
165 Classification Log Loss.mp4
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63.61 MB
166 Classification Confusion Matrix.mp4
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72.79 MB
167 Classification AUC ROC Curve.mp4
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48.57 MB
168 Classification Classification Report.mp4
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47.22 MB
169 Classification kNN Classifier.mp4
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80.8 MB
170 Classification kNN Classifier Example.mp4
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78.01 MB
171 Classification Practicals Part 1.mp4
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100.52 MB
172 Classification kNN Classifier (Practicals).mp4
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115.41 MB
173 Classification Decision Tree.mp4
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72.98 MB
174 Class.. Decision Tree (Entropy based).mp4
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112.46 MB
175 Classification Decision Tree (gini based).mp4
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104.23 MB
176 Classification Decision Tree (Practicals).mp4
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66.53 MB
177 Classification Decision Tree (Visualizing).mp4
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160.32 MB
178 Classification Random Forest Classifier.mp4
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40.94 MB
179 Class.. Random Forest Classifier (Practs).mp4
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46.69 MB
180 Classification Naive Bayes Classifier.mp4
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89.9 MB
181 Classification SVM Classifier Part 1.mp4
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71.78 MB
182 Classification SVM Classifier Part 2.mp4
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60.17 MB
183 Classification Logistic Regression.mp4
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119.15 MB
184 Classification Practicals so far.mp4
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218.7 MB
185 Class.. Issues in Classification (Part 1).mp4
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48.41 MB
186 Class.. Issues in Classification (Part 2).mp4
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80.24 MB
187 Classification Project.mp4
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308.88 MB
188 Ensemble Intro to Ensemble Learning.mp4
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117.94 MB
189 Ensemble Bagging.mp4
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50.65 MB
190 Ensemble Bagging vs Random Forest.mp4
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91.07 MB
191 Ensemble Bagging (Practicals #1).mp4
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241.19 MB
192 Ensemble Bagging (Practicals #2).mp4
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178.06 MB
193 Ensemble Boosting.mp4
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41.91 MB
194 Ensemble Ada Boost.mp4
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97.89 MB
195 Ensemble Gradient Boost.mp4
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20.82 MB
196 Ensemble CF vs LF.mp4
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47.15 MB
197 Ensemble Cross Entropy.mp4
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22.06 MB
198 Ensemble Xtreme Gradient Boosting (XGB).mp4
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94.38 MB
199 Ensemble Project.mp4
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210.58 MB
200 Clustering Introduction to Clustering.mp4
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104.01 MB
201 Clustering kMeans Clustering.mp4
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121.01 MB
202 Clustering kMeans Clustering (Practicals).mp4
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133.4 MB
203 Clustering Hierarchical Clustering.mp4
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81.94 MB
204 Clustering Hierarchy Cluster (Practicals).mp4
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106.49 MB
205 Clustering Mean Shift Clustering.mp4
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73.35 MB
206 Feature Engineering Introduction.mp4
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87.4 MB
207 Feature Engineering RFE and SFS.mp4
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29.05 MB
208 Feature Engineering RFE (Practicals).mp4
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190.89 MB
209 Feature Eng.. Successive Feature Selection.mp4
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180.08 MB
210 Feature Engineering Chi-Square.mp4
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31.7 MB
211 Feature Eng.. Chi-Square (Practicals).mp4
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54.64 MB
212 Feat Eng Principal Component Analysis.mp4
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258.21 MB
213 Feat Eng Principal Component Analy (Practls).mp4
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79.7 MB
214 Feat Eng Linear Discriminant Analysis.mp4
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54.25 MB
215 Feat Eng Linear Discriminant Analysis (Practls).mp4
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84.87 MB
216 Feature Engineering kPCA & QDA.mp4
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53.51 MB
217 Feature Engineering kPCA & QDA (Practicals).mp4
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50.71 MB
218 Hyper Parameter Optimization (HPO) Basics.mp4
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76.02 MB
219 Hyper Parameter Optimization Manual HPO.mp4
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31.87 MB
220 HPO GridSearch vs RandomizedSearch.mp4
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70.77 MB
221 HPO Manual HPO (Practicals).mp4
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164.77 MB
222 HPO RandomizedSearchCV (Practicals).mp4
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138.78 MB
223 HPO GridSearchCV (Practicals).mp4
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60.41 MB
07. Time Series Analysis, Forecast
224 Introduction to TSA.mp4
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23.29 MB
225 Time Series vs Regression.mp4
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77.14 MB
226 Time Series Analysis.mp4
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14.58 MB
227 Anomaly Detection.mp4
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29.89 MB
228 Components of Time Series.mp4
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46.34 MB
229 Decomposition.mp4
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6.46 MB
230 Decomposition (Practicals).mp4
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46.48 MB
231 AdditiveMultiplicative Decomp.mp4
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38.94 MB
232 Stationarity.mp4
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28.53 MB
233 Testing TS Stationarity.mp4
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43.64 MB
234 Transformation.mp4
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21.42 MB
235 Introduction to Pre-Processing.mp4
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17.81 MB
236 Handle Missing Value.mp4
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58.55 MB
237 Handle Missing Value (Practicals).mp4
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92.12 MB
238 Outlier Treatment.mp4
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59.77 MB
239 3-Sigma Technique.mp4
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102.73 MB
240 Feature Scaling.mp4
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74.24 MB
241 Feature Scaling Standardization.mp4
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22.67 MB
242 Feature Scaling Normalization.mp4
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13.95 MB
243 Feature Scaling (Practicals).mp4
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111.6 MB
244 Feature Encoding.mp4
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83.77 MB
245 Feature Encoding (Practicals).mp4
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78.85 MB
246 Models - Algorithms.mp4
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5.79 MB
247 Models - ARIMA Part 1.mp4
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11.35 MB
248 Models - ARIMA Part 2.mp4
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32.11 MB
249 Models - AR Theory.mp4
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41.67 MB
250 Models - MA Theory.mp4
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46 MB
251 Models - ACFPACF Plots.mp4
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45.36 MB
252 Models - Find p,d,q in ARIMA.mp4
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11.88 MB
253 Models - ARIMA (Practicals Part 1).mp4
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90.9 MB
254 Models - ARIMA (Practicals Part 2).mp4
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85.74 MB
255 Models - ARIMA (Final).mp4
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70.73 MB
256 Models - Decomposition.mp4
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31.81 MB
257 Models - ACFPACF.mp4
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21.56 MB
258 Models - Best Transformation.mp4
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72.32 MB
259 Models - Grid Search (Part 1).mp4
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90.15 MB
260 Models - Grid Search (Part 2).mp4
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16.93 MB
261 Models - Final Model Building.mp4
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83.57 MB
262 Models - Facebook Prophet (Part 1).mp4
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52 MB
263 Models - Facebook Prophet (Part 2).mp4
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84.67 MB
264 Models - Facebook Prophet (Part 3).mp4
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51.95 MB
265 Mods - Multi Variate Time Series Analy.mp4
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42.59 MB
266 Mods - Facebook Prophet Uni v Multi.mp4
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118.2 MB
267 Introduction to Metrics.mp4
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29.98 MB
268 Forecasting Evaluation Metrics.mp4
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6.72 MB
269 Mean Squarred Error.mp4
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7.04 MB
270 Root Mean Squarred Error.mp4
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7.1 MB
271 Mean Absolute Percentage Error.mp4
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16.31 MB
272 Proj 1 - Energy Forecasting Part 1.mp4
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25.59 MB
273 Proj 1 - Energy Forecasting Part 2.mp4
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274 Proj 1 - Energy Forecasting Part 3.mp4
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77.66 MB
275 Proj 2 - Stock Market Prediction Pt 1.mp4
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30.64 MB
276 Proj 2 - Stock Market Prediction Pt 2.mp4
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37.68 MB
277 Proj 2 - Stock Market Prediction Pt 3.mp4
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152.52 MB
278 Proj 3 - Demand Forecasting Part 1.mp4
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279 Proj 3 - Demand Forecasting Part 2.mp4
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280 Proj 3 - Demand Forecasting Part 3.mp4
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281 Proj 3 - Demand Forecasting Part 4.mp4
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282 Proj 3 - Demand Forecasting Part 5.mp4
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141.06 MB
283 Proj 3 - Demand Forecasting Part 6.mp4
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79.8 MB
08. Deep Learning and NN
285 Introduction to Deep Learning.mp4
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10.62 MB
286 Understanding Deep Learning.mp4
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92.76 MB
287 What is a Neuron.mp4
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132.66 MB
288 Activation Functions.mp4
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70.41 MB
289 Activation Function Step Function.mp4
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91.35 MB
290 Activation Function Linear Function.mp4
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170.98 MB
291 Activation Function Sigmoid Function.mp4
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93.51 MB
292 Activation Function TanH Function.mp4
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45.91 MB
293 Activation Function ReLu Function.mp4
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148.45 MB
294 Backpropagation & Forward Pass.mp4
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212.37 MB
295 Gradient Descent.mp4
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107.42 MB
296 Artificial Neural Networks Intuition.mp4
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28.24 MB
297 Artificial Neural Networks Practicals.mp4
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140.78 MB
298 Artificial NN Hyper Param Optimize.mp4
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101.91 MB
299 Convolutional Neural Networks (CNN).mp4
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123.11 MB
300 CNN Steps in CNN.mp4
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176.23 MB
301 CNN Architecture Explained.mp4
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253.06 MB
302 CNN Image Augmentation.mp4
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205.75 MB
303 CNN Batch size vs iterations vs epochs.mp4
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120.93 MB
304 CNN Practicals.mp4
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308.33 MB
305 CNN Model Summary & Parameters.mp4
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113.47 MB
306 CNN Project (X-Ray detection).mp4
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260.89 MB
307 Recurrent Neural Networks (RNN) Basics.mp4
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35.18 MB
308 RNN Types of RNN.mp4
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19 MB
309 RNN Vanishing, Exploding Gradient Prob.mp4
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94.64 MB
310 RNN LSTMs.mp4
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36.19 MB
311 RNN LSTMs (Practicals).mp4
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88.98 MB
312 Pre-Trained Models.mp4
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171.97 MB
313 Pre-Trained Models (Practicals).mp4
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214.15 MB
314 Pre-Trained Models VGG16.mp4
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75.88 MB
315 Pre-Trained Models MobileNet.mp4
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46.76 MB
316 Transfer Learning.mp4
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39.19 MB
317 Proj Pneumonia Detection X-Ray Img.mp4
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124.27 MB
09. Natural Lang Processing
319 Intro to NLP Introduction.mp4
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59.1 MB
320 Intro to NLP Introduction continued.mp4
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46.87 MB
321 Intro to NLP Key Challenges.mp4
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67.52 MB
322 Intro to NLP Linguistics.mp4
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31.11 MB
323 NLP Basics Case Folding.mp4
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27.96 MB
324 NLP Basics SCR.mp4
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89.81 MB
325 NLP Basics Handling Contractions.mp4
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64.58 MB
326 NLP Basics Tokenization.mp4
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38.86 MB
327 NLP Basics Stop Word Removal.mp4
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40.58 MB
328 NLP Basics nGrams.mp4
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52.28 MB
329 NLP Basics Vectorization.mp4
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24.37 MB
330 NLP Basics Word Embeddings.mp4
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14.51 MB
331 NLP Basics Bag of Words.mp4
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50.68 MB
332 NLP Basics Bag of Words (Practicals).mp4
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154.6 MB
333 NLP Basics TF-IDF.mp4
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68.59 MB
334 NLP Basics TF-IDF (Practicals).mp4
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150.4 MB
335 NLP Part of Speech Tag, Named Entity Recog.mp4
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57.27 MB
336 NLP Basics NER (Practicals).mp4
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96.94 MB
337 Word Embeddings Word2Vec Introduction.mp4
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23.68 MB
338 Word Embeddings Word2Vec Part 2.mp4
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13.59 MB
339 Word Embeddings Pre-Trained Word2Vec.mp4
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62.3 MB
340 Word Embeddings Word2Vec Intuition.mp4
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37.53 MB
341 Word Embed Word2Vec - Check X Features.mp4
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65.76 MB
342 Word Embeddings Word2Vec CBOW.mp4
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103.25 MB
343 Word Embed Word2Vec Skip Grams.mp4
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55.89 MB
344 Word Embeddings GloVe.mp4
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79.39 MB
345 Word Embeddings FastText.mp4
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141.98 MB
346 Word Embeddings Cosine Similarity.mp4
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94.96 MB
347 Neural Networks (NN) LSTMs Part 1.mp4
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73.43 MB
348 NN LSTMs Part 2 (Architecture).mp4
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106.95 MB
349 NN LSTMs Part 3 (Deep Dive).mp4
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28.26 MB
350 NN LSTMs Part 4 Pointwise Operation.mp4
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34.74 MB
351 NN LSTMs Part 5 (forget gate).mp4
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61.76 MB
352 NN LSTMs Part 6 (inpute gate).mp4
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115.02 MB
353 NN LSTMs Part 7 (output gate).mp4
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49.5 MB
354 NN LSTMs Part 8 (Practicals #1).mp4
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355 NN LSTMs Part 9 (Practicals #2).mp4
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90.07 MB
356 NN LSTMs Part 10 (Practicals #3).mp4
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112.51 MB
357 NN GRU Part 1.mp4
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19.82 MB
358 NN GRU Part 2.mp4
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146.16 MB
359 NN GRU Part 3 (reset gate).mp4
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41.27 MB
360 NN GRU Part 4 (update gate).mp4
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44.6 MB
361 NN GRU Part 5 (Practicals).mp4
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105.53 MB
362 NN Bi-Directional LSTMs.mp4
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116.33 MB
10. Transformers, Gen AI
364 Transformer Types.mp4
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127.41 MB
365 Introduction to Transformers.mp4
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145.8 MB
366 Self Attention.mp4
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125.4 MB
367 Encoder Architecture.mp4
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47.99 MB
368 Contextual Embeddings.mp4
MP4
30.2 MB
369 Decoder Architecture.mp4
MP4
31.39 MB
370 Introduction to BERT.mp4
MP4
72.09 MB
371 Configurations of BERT.mp4
MP4
25.37 MB
372 BERT Fine Tuning.mp4
MP4
21.34 MB
373 BERT Pre Tuning (Masked LM).mp4
MP4
50.1 MB
374 BERT Input Embeddings.mp4
MP4
62.12 MB
375 ARLM vs AELM.mp4
MP4
43.4 MB
376 RoBERTa.mp4
MP4
60.41 MB
377 DistilBERT.mp4
MP4
92.38 MB
378 AlBERT.mp4
MP4
112.4 MB
379 Introduction to GPT (Decoder Only).mp4
MP4
30.54 MB
380 GPT Architecture.mp4
MP4
27.73 MB
381 GPT Masked Multi Head Attention.mp4
MP4
85.96 MB
382 GPT Blocks.mp4
MP4
48.92 MB
383 GPT Training.mp4
MP4
54.63 MB
385 LLM Basics Context Window.mp4
MP4
56.2 MB
386 LLM Basics Prompt.mp4
MP4
63.94 MB
387 LLM Basics Prompt Engineering.mp4
MP4
119.88 MB
388 LLM Basics Prompt Tuning.mp4
MP4
57.09 MB
389 LLM Basics Prompt Structures.mp4
MP4
106.9 MB
390 RAGs Introduction to RAG.mp4
MP4
5.72 MB
391 RAGs What and Why.mp4
MP4
119.24 MB
392 RAGs Use Cases.mp4
MP4
138.77 MB
393 RAGs Paper Explanation.mp4
MP4
53.32 MB
394 RAGs Architecture Explanation.mp4
MP4
106.51 MB
395 RAGs Detailed Architect Walk-thru.mp4
MP4
74.79 MB
396 RAGs Practical Use Cases.mp4
MP4
256.53 MB
397 LangChain.mp4
MP4
83.3 MB
398 Intro Prompt Engineering.mp4
MP4
80.96 MB
399 Types of Prompting.mp4
MP4
90.41 MB
400 Few Shot Limitations.mp4
MP4
50.66 MB
401 Chain of Thoughts Prompting.mp4
MP4
45.02 MB
402 Vector Databases.mp4
MP4
86.44 MB
403 Vector Database vs Vector Index.mp4
MP4
60.82 MB
404 How Vector Databases works.mp4
MP4
72.07 MB
405 Vector Database (Practicals).mp4
MP4
260.83 MB
406 LSH.mp4
MP4
85.36 MB
407 Model Overview Ollama.mp4
MP4
310.61 MB
408 Getting Started Ollama.mp4
MP4
316.98 MB
409 Model Testing Ollama.mp4
MP4
384.54 MB
410 Python Implementation Ollama.mp4
MP4
131.64 MB
411 RAG Systems Ollama.mp4
MP4
69.04 MB
412 RAG Systems (Practicals) Ollama.mp4
MP4
219.26 MB
413 Model Overview LLM APIs.mp4
MP4
198.55 MB
414 RAG Systems with xAI LLM APIs.mp4
MP4
34.15 MB
415 RAG Sys w xAI (Practicals) LLM APIs.mp4
MP4
141.55 MB
11. Gen AI (Adv)
416 Deployment Basics.mp4
MP4
27.39 MB
417 Introduction to Flask.mp4
MP4
72.2 MB
418 Flask Basic App.mp4
MP4
88.42 MB
419 Model Building (Breast Cancer Predict).mp4
MP4
135.84 MB
420 Flask App (Breast Cancer Prediction).mp4
MP4
187.83 MB
421 AWS.mp4
MP4
58.89 MB
422 AWS Deploy (Breast Cancer Predict).mp4
MP4
238.25 MB
423 Introduction to Data Engineering.mp4
MP4
3.25 MB
424 What is ETL.mp4
MP4
39.27 MB
12. ML DL Deployment
425 ETL Tools.mp4
MP4
25.14 MB
426 What is Data Warehouse.mp4
MP4
26.63 MB
427 Benefits of Data Warehouse.mp4
MP4
18.9 MB
428 Data Warehouse Structure.mp4
MP4
19.13 MB
429 Why do we need Staging.mp4
MP4
30.38 MB
430 What are Data Marts.mp4
MP4
11.84 MB
431 Data Lake.mp4
MP4
22.44 MB
13. Data Engineer Basics
432 Data lake vs Data Warehouse.mp4
MP4
28.52 MB
433 Elements of Datalake.mp4
MP4
14.58 MB
434 ChatScholar (EdTech Project).mp4
MP4
399.7 MB
435 Research RAG Chatbot.mp4
MP4
295.13 MB
436 Auto AI Claims Processing - Gen AI.mp4
MP4
403.93 MB
437 PDF RAG(s) Chatbot Web Scrape Data.mp4
MP4
309.7 MB
438 AI Career Coach Part 1.mp4
MP4
93.98 MB
439 AI Career Coach Part 2.mp4
MP4
112.49 MB
440 AI Career Coach Part 3.mp4
MP4
223.18 MB
441 Sustainability Chatbot (GROK AI).mp4
MP4
379.46 MB
442 ML Interview Prep.mp4
MP4
49.21 MB
14. Gen AI Projects
443 ML Interview #1.mp4
MP4
178 MB
444 ML Interview #2.mp4
MP4
204.99 MB
445 ML Interview #3.mp4
MP4
145.65 MB
446 ML Interview #4.mp4
MP4
143.18 MB
447 ML Interview #5.mp4
MP4
98.43 MB
448 ML Interview #6.mp4
MP4
151.35 MB
449 ML Interview #7.mp4
MP4
117.27 MB
450 ML Interview #8.mp4
MP4
137.44 MB
15. Interview Prep (New)
451 ML Interview #9.mp4
MP4
182.6 MB
452 ML Interview #10.mp4
MP4
136.39 MB
453 DL Interview #1.mp4
MP4
162.63 MB
454 DL Interview #2.mp4
MP4
110.6 MB
455 DL Interview #3.mp4
MP4
94.54 MB
456 DL Interview #4.mp4
MP4
102.47 MB
457 DL Interview #5.mp4
MP4
118.68 MB
458 DL Interview #6.mp4
MP4
148.35 MB
459 DL Interview #7.mp4
MP4
55.11 MB
460 DL Interview #8.mp4
MP4
139.98 MB
461 DL Interview #9.mp4
MP4
58.59 MB
462 DL Interview #10.mp4
MP4
136.64 MB
463 Gen AI Interview #1.mp4
MP4
76.82 MB
464 Gen AI Interview #2.mp4
MP4
90.47 MB
465 Gen AI Interview #3.mp4
MP4
157.71 MB
466 Gen AI Interview #4.mp4
MP4
126.79 MB
467 Gen AI Interview #5.mp4
MP4
122.87 MB
468 Gen AI Interview #6.mp4
MP4
144.05 MB
469 Gen AI Interview #7.mp4
MP4
116.41 MB
470 Gen AI Interview #8.mp4
MP4
150.24 MB
471 Gen AI Interview #9.mp4
MP4
149.16 MB
472 Gen AI Interview #10.mp4
MP4
156.04 MB
473 Gen AI Interview #2.mp4
MP4
90.47 MB
474 Gen AI Interview #3.mp4
MP4
157.71 MB
475 Gen AI Interview #4.mp4
MP4
126.79 MB
476 Gen AI Interview #5.mp4
MP4
122.87 MB
477 Gen AI Interview #6.mp4
MP4
144.05 MB
478 Gen AI Interview #7.mp4
MP4
116.41 MB
479 Gen AI Interview #8.mp4
MP4
150.24 MB
480 Gen AI Interview #9.mp4
MP4
149.16 MB
481 Gen AI Interview #10.mp4
MP4
156.04 MB
2025 Data Science & AI Masters From Python To Gen AI ~ Udemy - Satyajit Pattnaiko.txt
TXT
228 B

Description

Related Torrents

Location

Trackers

Tracker name
udp://tracker.coppersurfer.tk:6969/announce
udp://9.rarbg.me:2850/announce
udp://9.rarbg.to:2920/announce
udp://tracker.opentrackr.org:1337
udp://tracker.leechers-paradise.org:6969/announce
Torrent hash: