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4. Machine Learning With Python.mp4
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1 - Introduction to Data Science and Python
2 - Python Fundamentals for Data Science
3 - Working with Data Using Pandas
4 - Numerical Computing with NumPy
5 - Data Visualization
6 - Exploratory Data Analysis (EDA)
7 - Introduction to Statistics for Data Science
8 - Machine Learning with Scikit Learn
36. What is Machine Learning.mp4
MP4
38.7 MB
37. Supervised vs Unsupervised Learning.mp4
MP4
72.9 MB
38. ML Workflow (Prepare Train Evaluate Tune).mp4
MP4
77.2 MB
39. Regression Algorithms Linear Ridge Lasso.mp4
MP4
108.8 MB
40. Classification Algorithms Logistic Regression KNN Decision Trees.mp4
MP4
105.6 MB
41. Clustering K Means.mp4
MP4
40.2 MB
9 - Advanced Topics (Optional Bonus)
42. Introduction to Time Series Analysis.mp4
MP4
85.6 MB
43. Intro to Deep Learning with TensorFlow Keras.mp4
MP4
73.2 MB
44. Working with Big Data (Intro to PySpark).mp4
MP4
83.3 MB
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1 - Python Fundamentals
2 - Data Manipulation with Pandas
3 - Data Visualization with Matplotlib & Seaborn
4 - Data Analysis with NumPy
5 - Introduction to Machine Learning
23. Machine Learning Concepts.mp4
MP4
55.4 MB
24. Supervised Learning Algorithms.mp4
MP4
131.8 MB
25. Unsupervised Learning Algorithms.mp4
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101.7 MB
26. Model Evaluation and Selection.mp4
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132.1 MB
6 - Working with APIs and Web Data
27. Introduction to APIs.mp4
MP4
50.7 MB
28. Making API Requests.mp4
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52.3 MB
29. Parsing JSON and XML Data.mp4
MP4
86.4 MB
30. Web Scraping Techniques.mp4
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90.3 MB
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1 - Introduction
2 - Data Handling with Pandas in Python
3 - Data Visualization in Python
4 - Data summary descriptive and inferential statistic
5 - Data Management for Machine Learning in Python
19. Python Libraries for Machine Learning Dtata management.mp4
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42.5 MB
20. Define Class and Feature Variables in Python for machine learning.mp4
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77.6 MB
21. Drop Missing Values.mp4
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48.4 MB
22. Prepare the Class and Features.mp4
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17.8 MB
23. Create Training and Testing Data.mp4
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21.7 MB
24. Data Preprocessing in Python.mp4
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48 MB
6 - Classification Models in Python - LR, DT, KNN, SVM, RF
25. Libraries for Classification Models in Python.mp4
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18.5 MB
26. Logistic Regression Classifier in Python.mp4
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50.5 MB
27. Random Forest Classifier in Python.mp4
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35.1 MB
28. Build Multiple Classification Models in Python.mp4
MP4
59.1 MB
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Machine Learning & Data Science with Python, Kaggle & Pandas
3. Creating NumPy Array in Python
4. Creating NumPy Array with Full() Function.mp4
MP4
11.19 MB
4. Functions in the NumPy Library
1. Reshaping a NumPy Array Reshape() Function.mp4
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26.15 MB
2. Identifying the Largest Element of a Numpy Array.mp4
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15.14 MB
3. Detecting Least Element of Numpy Array Min(), Ar.mp4
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10.19 MB
4. Concatenating Numpy Arrays Concatenate() Function.mp4
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38.38 MB
5. Splitting One-Dimensional Numpy Arrays The Split.mp4
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20.91 MB
6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4
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35.72 MB
7. Sorting Numpy Arrays Sort() Function.mp4
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17.04 MB
5. Indexing, Slicing, and Assigning NumPy Arrays
4. Assigning Value to One-Dimensional Arrays.mp4
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18.2 MB
6. Operations in Numpy Library
4. Solving Second-Degree Equations with NumPy.mp4
MP4
24.2 MB
8. Series Structures in the Pandas Library
4. Object Types in Series.mp4
MP4
19.55 MB
9. DataFrame Structures in Pandas Library
4. Examining the Properties of Pandas DataFrames.mp4
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25.95 MB
10. Element Selection Operations in DataFrame Structures
4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4
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31.42 MB
11. Structural Operations on Pandas DataFrame
4. Dropping Null Values Dropna() Function.mp4
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34.53 MB
13. Structural Concatenation Operations in Pandas DataFrame
4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4
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60.14 MB
5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4
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40.7 MB
14. Functions That Can Be Applied on a DataFrame
4. Examining the Data Set 2.mp4
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46.57 MB
16. File Operations in Pandas Library
4. Outputting as an CSV Extension.mp4
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35.71 MB
18. Evaluation Metrics in Machine Learning
4. Machine Learning With Python.mp4
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92.26 MB
20. Linear Regression Algorithm in Machine Learning A-Z
4. Linear Regression Algorithm With Python Part 3.mp4
MP4
70.28 MB
20 matching files shown out of 37 matching files, 256 total files.
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1 - First Contact With Machine Learning
10 - Hyperparameter Optimization
11 - Decision Tree Algorithm In Machine Learning Az
39 - Decision Tree Algorithm With Python Part 4.mp4
MP4
33.7 MB
12 - Random Forest Algorithm In Machine Learning Az
13 - Support Vector Machine Algorithm In Machine Learning Az
48 - Support Vector Machine Algorithm With Python Part 4.mp4
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23.3 MB
14 - Unsupervised Learning With Machine Learning
15 - K Means Clustering Algorithm In Machine Learning Az
54 - K Means Clustering Algorithm With Python Part 4.mp4
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20.7 MB
16 - Hierarchical Clustering Algorithm In Machine Learning Data Science
17 - Principal Component Analysis Pca In Machine Learning Az
18 - Recommender System Algorithm In Machine Learning Az
19 - Extra
2 - Installations For Python
3 - Evaluation Metrics In Machine Learning
4 - Supervised Learning With Machine Learning
14 - What Is Supervised Learning In Machine Learning.mp4
MP4
26.5 MB
5 - Linear Regression Algorithm In Machine Learning Az
15 - Linear Regression Algorithm Theory In Machine Learning Az.mp4
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22.3 MB
16 - Linear Regression Algorithm With Python Part 1.mp4
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62.5 MB
17 - Linear Regression Algorithm With Python Part 2.mp4
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78.8 MB
18 - Linear Regression Algorithm With Python Part 3.mp4
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52 MB
19 - Linear Regression Algorithm With Python Part 4.mp4
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67.8 MB
6 - Bias Variance Tradeoff In Machine Learning
20 - What Is Bias Variance Tradeoff.mp4
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36.4 MB
7 - Logistic Regression Algorithm In Machine Learning Az
21 - What Is Logistic Regression Algorithm In Machine Learning.mp4
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17.7 MB
22 - Logistic Regression Algorithm With Python Part 1.mp4
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85.5 MB
23 - Logistic Regression Algorithm With Python Part 2.mp4
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60.5 MB
24 - Logistic Regression Algorithm With Python Part 3.mp4
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25.3 MB
25 - Logistic Regression Algorithm With Python Part 4.mp4
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34.7 MB
26 - Logistic Regression Algorithm With Python Part 5.mp4
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24 MB
8 - Kfold Crossvalidation In Machine Learning Az
27 - Kfold Crossvalidation Theory.mp4
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11.6 MB
28 - Kfold Crossvalidation With Python.mp4
MP4
37.8 MB
9 - K Nearest Neighbors Algorithm In Machine Learning Az
29 - K Nearest Neighbors Algorithm Theory.mp4
MP4
17.5 MB
30 - K Nearest Neighbors Algorithm With Python Part 1.mp4
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19.9 MB
20 matching files shown out of 22 matching files, 69 total files.
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1 - Introduction and Outline
10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)
11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)
12 - Appendix FAQ Finale
2 - The High-Level Picture
4. Real-World Examples of A B Testing.mp4
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20 MB
3 - Bayes Rule and Probability Review
4 - Traditional A B Testing
20. Confidence Intervals (pt 1) - Intuition.mp4
MP4
12.8 MB
21. Confidence Intervals (pt 2) - Beginner Level.mp4
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11.9 MB
22. Confidence Intervals (pt 3) - Intermediate Level.mp4
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21.5 MB
23. Confidence Intervals (pt 4) - Intermediate Level.mp4
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25.8 MB
24. Confidence Intervals (pt 5) - Intermediate Level.mp4
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22.8 MB
25. Confidence Intervals Code.mp4
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28.8 MB
26. Hypothesis Testing - Examples.mp4
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18.4 MB
27. Statistical Significance.mp4
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12.9 MB
28. Hypothesis Testing - The API Approach.mp4
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26 MB
29. Hypothesis Testing - Accept Or Reject.mp4
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6.9 MB
30. Hypothesis Testing - Further Examples.mp4
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13.6 MB
31. Z-Test Theory (pt 1).mp4
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20.8 MB
32. Z-Test Theory (pt 2).mp4
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16.9 MB
33. Z-Test Code (pt 1).mp4
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84 MB
34. Z-Test Code (pt 2).mp4
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34.2 MB
35. A B Test Exercise.mp4
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8.6 MB
36. Classical A B Testing Section Summary.mp4
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25.4 MB
5 - Bayesian A B Testing
37. Section Introduction The Explore-Exploit Dilemma.mp4
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28.1 MB
38. Applications of the Explore-Exploit Dilemma.mp4
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25.6 MB
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Machine Learning with Python
Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4.mp4
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34.81 MB
Resizing Data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.4.mp4
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54.3 MB
Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4.mp4
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68.83 MB
Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4.mp4
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38.99 MB
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4. Machine Learning with Python.mp4
MP4
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4. Machine Learning with Python
1. Supervised vs. Unsupervised Learning, and TrainTest.mp4
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98.61 MB
10. [Activity] LINUX Installing Graphviz.mp4
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7.05 MB
11. Decision Trees Concepts.mp4
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86.53 MB
12. [Activity] Decision Trees Predicting Hiring Decisions.mp4
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95.95 MB
13. Ensemble Learning.mp4
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65.21 MB
14. Support Vector Machines (SVM) Overview.mp4
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44.74 MB
15. [Activity] Using SVM to cluster people using scikit-learn.mp4
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43.94 MB
2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4
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58.14 MB
3. Bayesian Methods Concepts.mp4
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40.73 MB
4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4
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89.09 MB
5. K-Means Clustering.mp4
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71.94 MB
6. [Activity] Clustering people based on income and age.mp4
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57.29 MB
7. Measuring Entropy.mp4
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34.97 MB
8. [Activity] WINDOWS Installing Graphviz.mp4
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2.06 MB
9. [Activity] MAC Installing Graphviz.mp4
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14.83 MB
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2. Evalution Metrics
4. Machine Learning With Python.mp4
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1 - Introduction
10 - PyTorch Cybersecurity
11 - Splunk for Cybersecurity AI
12 - Presidential protection
13 - VirtualBox in Cybersecurity
2 - Understand AI CyberSecurity
3 - ChatGPT Cybersecurity
4 - Gemini Cybersecurity
5 - Tools and Techniques
6 - Deep Learning Machine Learning
7 - Python for Cybersecurity AI
21. Defend Against DDoS Attacks with Python.mp4
MP4
61.8 MB
8 - Elasticsearch with Cybersecurity AI
22. Elasticsearch Cybersecurity.mp4
MP4
126.1 MB
9 - Amazon GuardDuty with Cybersecurity
23. Amazon GuardDuty.mp4
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121.1 MB
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[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp
15. Linear Regression
4. Linear Regression with Python - Part 2.mp4
MP4
19.27 MB
17. Logistic Regression
4. Logistic Regression with Python - Part 3.mp4
MP4
20.02 MB
24. Natural Language Processing
4. NLP with Python - Part 3.mp4
MP4
43.49 MB
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10 Python Courses For Beginners 2020 [UdemyLibrary.com]
Machine Learning Crash Course for Beginners using Python [UdemyLibrary.com]
12. Hands-on Machine Learning Project Using Scikit-Learn
4. Face Recognition Project with Python.mp4
MP4
203.87 MB
4. Machine Learning Methods
2. Features Practice with Python.mp4
MP4
111.32 MB
4. Regression Practice with Python.mp4
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100.16 MB
8. Clustering Practice with Python.mp4
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39.21 MB
6. Classification Practice with Python.mp4
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37.57 MB
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[Tutorialsplanet.NET] Udemy - Python for Data Science and Machine Learning Bootcamp
14. Introduction to Machine Learning
4. Machine Learning with Python.mp4
MP4
16.8 MB
15. Linear Regression
4. Linear Regression with Python - Part 2.mp4
MP4
16.05 MB
17. Logistic Regression
4. Logistic Regression with Python - Part 3.mp4
MP4
16.95 MB
24. Natural Language Processing
4. NLP with Python - Part 3.mp4
MP4
37.66 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)
4. MNIST with Multi-Layer Perceptron - Part 3.mp4
MP4
44.35 MB
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4. Machine Learning with Python.mp4
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16.8 MB
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[FreeCoursesOnline.Me] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]
04.Minimal example - your first machine learning algorithm
0404.Minimal example - part 4.mp4
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30.41 MB
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4. Machine Learning With Python.mp4
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92.3 MB
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2021 Python for Data Science & Machine Learning from A-Z
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z
20. Data Science Career
4. Getting Started with Freelancing.mp4
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30.24 MB
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CodingBlocks - Python for Developers Master Course
34.Getting started with Machine Learning
4.Gradient Descent Update Rule for Regression-studyfever.mp4
MP4
14.21 MB
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1 - Advanced Foundations of Neural Signal Processing
2 - Frequency Domain & Time Frequency Decomposition
3 - Spatial Filtering & Advanced Feature Engineering
4 - Advanced EEG EMG Modeling with Machine Learning & AI
5 - Practical Tools MNE + BrainFlow + Python Ecosystem
17. 5 1 MNE Python Advanced Workflows.mp4
MP4
219.9 MB
18. 5 2 BrainFlow for Real Time BCIs.mp4
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176.5 MB
19. 5 3 Combining MNE + BrainFlow.mp4
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154.5 MB
6 - Advanced BCI System Engineering
21. 6 1 Feature Pipelines for Real Time BCI.mp4
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254.8 MB
22. 6 2 Calibration Free & Transfer Learning Approaches.mp4
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231.5 MB
23. 6 3 Building End to End BCI Systems.mp4
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204.6 MB
7 - Ethics Reliability & Research Level Design
25. 7 1 Experimental Design for High Quality Neural Data.mp4
MP4
265.1 MB
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4. Machine Learning With Python.mp4
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4. Machine Learning With Python.mp4
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66.7 MB
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Unsupervised Machine Learning Hidden Markov Models in Python
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python
4. Hidden Markov Models for Discrete Observations
18. Discrete HMM Updates in Code with Scaling.mp4
MP4
29.14 MB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)
4. Python 2 vs Python 3.mp4
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7.83 MB
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[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp
15. Linear Regression
4. Linear Regression with Python - Part 2.mp4
MP4
16.05 MB
17. Logistic Regression
4. Logistic Regression with Python - Part 3.mp4
MP4
16.95 MB
24. Natural Language Processing
4. NLP with Python - Part 3.mp4
MP4
37.67 MB
3 matching files, 331 total files.
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[DesireCourse.Net] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python
4. Gaussian Mixture Models (GMMs)
4. Practical Issues with GMM Singular Covariance.mp4
MP4
4.96 MB
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[Tutorialsplanet.NET] Udemy - Beginning with Machine Learning & Data Science in Python
2. Understanding Data Wrangling
4. Which borough has the most noise complaints.mp4
MP4
19.48 MB
3. Linear Regression
4. EDA questions on advertising data.mp4
MP4
4.72 MB
4. Logistic Regression
1. Introduction.mp4
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891.31 KB
10. Summary.mp4
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896.84 KB
2. Predicting a continuous response.mp4
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11.59 MB
3. Quick refresher on linear regression.mp4
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4.91 MB
4. Predicting a categorical response.mp4
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15.7 MB
5. Using logistic regression.mp4
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11.37 MB
6. Probability, odds, log-odds.mp4
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15.05 MB
7. What is logistic regression.mp4
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10.91 MB
8. Interpreting logistic regression.mp4
MP4
16.31 MB
9. Using logistic regression with categorical features.mp4
MP4
7.25 MB
5. Cross Validation
4. Cross-validation continued.mp4
MP4
15.9 MB
6. Regularization
4. Regularizing linear models.mp4
MP4
16.89 MB
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4. Machine Learning with Python.mp4
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16.8 MB
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