Download Udemy - Complete Data Science Training with Python for Data Analysis [Desire Course] Torrent

Torrent Contents Size: 2.25 GB

Udemy - Complete Data Science Training with Python for Data Analysis [Desire Course]

1. Introduction to the Data Science in Python Bootcamp

1. What is Data Science.mp4	MP4	17.39 MB
1. What is Data Science.vtt	VTT	3.97 KB
2. Introduction to the Course Instructor.m4v	M4V	55.61 MB
2. Introduction to the Course Instructor.vtt	VTT	13.5 KB
3. Data For the Course.html	HTML	98 B
3.1 scriptsLecture.zip.zip	ZIP	308.04 MB
4. Introduction to the Python Data Science Tool.mp4	MP4	25.02 MB
4. Introduction to the Python Data Science Tool.vtt	VTT	10.12 KB
5. For Mac Users.mp4	MP4	10.22 MB
5. For Mac Users.vtt	VTT	3.88 KB
6. Introduction to the Python Data Science Environment.mp4	MP4	40.32 MB
6. Introduction to the Python Data Science Environment.vtt	VTT	17.22 KB
7. Some Miscellaneous IPython Usage Facts.mp4	MP4	12.01 MB
7. Some Miscellaneous IPython Usage Facts.vtt	VTT	4.54 KB
8. Online iPython Interpreter.mp4	MP4	7.73 MB
8. Online iPython Interpreter.vtt	VTT	3.43 KB
9. Conclusion to Section 1.mp4	MP4	6.48 MB
9. Conclusion to Section 1.vtt	VTT	3.06 KB

10. Unsupervised Learning in Python

1. Unsupervised Classification- Some Basic Ideas.mp4	MP4	6.17 MB
1. Unsupervised Classification- Some Basic Ideas.vtt	VTT	1.81 KB
10. Principal Component Analysis (PCA)-Practical Implementation.mp4	MP4	9.06 MB
10. Principal Component Analysis (PCA)-Practical Implementation.vtt	VTT	4.15 KB
11. Conclusions to Section 10.mp4	MP4	5.49 MB
11. Conclusions to Section 10.vtt	VTT	2.48 KB
2. KMeans-theory.mp4	MP4	5.15 MB
2. KMeans-theory.vtt	VTT	2.5 KB
3. KMeans-implementation on the iris data.mp4	MP4	19.54 MB
3. KMeans-implementation on the iris data.vtt	VTT	7.61 KB
4. Quantifying KMeans Clustering Performance.mp4	MP4	9.57 MB
4. Quantifying KMeans Clustering Performance.vtt	VTT	4.41 KB
5. KMeans Clustering with Real Data.mp4	MP4	12.08 MB
5. KMeans Clustering with Real Data.vtt	VTT	4.49 KB
6. How Do We Select the Number of Clusters.mp4	MP4	19.04 MB
6. How Do We Select the Number of Clusters.vtt	VTT	4.21 KB
7. Hierarchical Clustering-theory.mp4	MP4	10.23 MB
7. Hierarchical Clustering-theory.vtt	VTT	5 KB
8. Hierarchical Clustering-practical.mp4	MP4	29.39 MB
8. Hierarchical Clustering-practical.vtt	VTT	9.53 KB
9. Principal Component Analysis (PCA)-Theory.mp4	MP4	5.91 MB
9. Principal Component Analysis (PCA)-Theory.vtt	VTT	2.96 KB

11. Supervised Learning

1. What is This Section About.mp4	MP4	24.88 MB
1. What is This Section About.vtt	VTT	11.5 KB
10. knn-Classification.mp4	MP4	18.2 MB
10. knn-Classification.vtt	VTT	8 KB
11. knn-Regression.mp4	MP4	8.38 MB
11. knn-Regression.vtt	VTT	3.95 KB
12. Gradient Boosting-classification.mp4	MP4	15.04 MB
12. Gradient Boosting-classification.vtt	VTT	6.04 KB
13. Gradient Boosting-regression.mp4	MP4	10.9 MB
13. Gradient Boosting-regression.vtt	VTT	3.67 KB
14. Voting Classifier.mp4	MP4	9.53 MB
14. Voting Classifier.vtt	VTT	3.76 KB
15. Conclusions to Section 11.mp4	MP4	7.23 MB
15. Conclusions to Section 11.vtt	VTT	2.94 KB
16. Section 11 Quiz.html	HTML	163 B
2. Data Preparation for Supervised Learning.mp4	MP4	28.28 MB
2. Data Preparation for Supervised Learning.vtt	VTT	10.08 KB
3. Pointers on Evaluating the Accuracy of Classification and Regression Modelling.mp4	MP4	24 MB
3. Pointers on Evaluating the Accuracy of Classification and Regression Modelling.vtt	VTT	10.46 KB
4. Using Logistic Regression as a Classification Model.mp4	MP4	20.64 MB
4. Using Logistic Regression as a Classification Model.vtt	VTT	8.73 KB
5. RF-Classification.mp4	MP4	28.48 MB
5. RF-Classification.vtt	VTT	12.19 KB
6. RF-Regression.mp4	MP4	23.63 MB
6. RF-Regression.vtt	VTT	9.73 KB
7. SVM- Linear Classification.mp4	MP4	7.39 MB
7. SVM- Linear Classification.vtt	VTT	3.22 KB
8. SVM- Non Linear Classification.mp4	MP4	5.12 MB
8. SVM- Non Linear Classification.vtt	VTT	2.31 KB
9. Support Vector Regression.mp4	MP4	10.19 MB
9. Support Vector Regression.vtt	VTT	4.33 KB

12. Artificial Neural Networks (ANN) and Deep Learning (DL)

1. Theory Behind ANN and DNN.mp4	MP4	22.56 MB
1. Theory Behind ANN and DNN.vtt	VTT	9.91 KB
10. Specify the Activation Function.mp4	MP4	6.21 MB
10. Specify the Activation Function.vtt	VTT	2.18 KB
11. H2O Deep Learning For Predictions.mp4	MP4	12 MB
11. H2O Deep Learning For Predictions.vtt	VTT	5.19 KB
12. Conclusions to Section 12.mp4	MP4	5.16 MB
12. Conclusions to Section 12.vtt	VTT	2.12 KB
13. Section 12 Quiz.html	HTML	163 B
2. Perceptrons for Binary Classification.mp4	MP4	10.05 MB
2. Perceptrons for Binary Classification.vtt	VTT	4.68 KB
3. Getting Started with ANN-binary classification.mp4	MP4	8.46 MB
3. Getting Started with ANN-binary classification.vtt	VTT	3.48 KB
4. Multi-label classification with MLP.mp4	MP4	13.49 MB
4. Multi-label classification with MLP.vtt	VTT	4.77 KB
5. Regression with MLP.mp4	MP4	9.02 MB
5. Regression with MLP.vtt	VTT	3.49 KB
6. MLP with PCA on a Large Dataset.mp4	MP4	19.25 MB
6. MLP with PCA on a Large Dataset.vtt	VTT	7.65 KB
7. Start With Deep Neural Network (DNN).html	HTML	229 B
8. Start with H20.mp4	MP4	12.12 MB
8. Start with H20.vtt	VTT	4.31 KB
9. Default H2O Deep Learning Algorithm.mp4	MP4	8.23 MB
9. Default H2O Deep Learning Algorithm.vtt	VTT	3.36 KB

13. Miscellaneous Lectures Information

1. Data For This Section.html	HTML	137 B
2. Read in Data from Online CSV.mp4	MP4	6.66 MB
2. Read in Data from Online CSV.vtt	VTT	3.87 KB
3. Read Data from a Database.mp4	MP4	12.26 MB
3. Read Data from a Database.vtt	VTT	7.79 KB
4. Naive Bayes Classification.m4v	M4V	28.16 MB
4. Naive Bayes Classification.vtt	VTT	6.84 KB
5. Data Imputation.m4v	M4V	44.84 MB
5. Data Imputation.vtt	VTT	8.99 KB

2. Introduction to Python Pre-Requisites for Data Science

1. Rationale Behind This Section.html	HTML	429 B
2. Different Types of Data Used in Statistical ML Analysis.mp4	MP4	9.36 MB
2. Different Types of Data Used in Statistical ML Analysis.vtt	VTT	3.66 KB
3. Different Types of Data Used Programatically.mp4	MP4	7.74 MB
3. Different Types of Data Used Programatically.vtt	VTT	3.01 KB
4. Python Data Science Packages To Be Used.mp4	MP4	7.93 MB
4. Python Data Science Packages To Be Used.vtt	VTT	3.8 KB
5. Conclusions to Section 2.mp4	MP4	4.88 MB
5. Conclusions to Section 2.vtt	VTT	2.43 KB

3. Introduction to Numpy

1. Numpy Introduction.mp4	MP4	8.7 MB
1. Numpy Introduction.vtt	VTT	3.84 KB
10. Conclusion to Section 3.mp4	MP4	6.17 MB
10. Conclusion to Section 3.vtt	VTT	2.55 KB
11. Section 3 Quiz.html	HTML	163 B
2. Create Numpy Arrays.mp4	MP4	20.91 MB
2. Create Numpy Arrays.vtt	VTT	5.92 KB
3. Numpy Operations.mp4	MP4	36.71 MB
3. Numpy Operations.vtt	VTT	14.96 KB
4. Matrix Arithmetic and Linear Systems.mp4	MP4	15.83 MB
4. Matrix Arithmetic and Linear Systems.vtt	VTT	6.47 KB
5. Numpy for Basic Vector Arithmetric.mp4	MP4	11.75 MB
5. Numpy for Basic Vector Arithmetric.vtt	VTT	3.79 KB
6. Numpy for Basic Matrix Arithmetic.mp4	MP4	13.89 MB
6. Numpy for Basic Matrix Arithmetic.vtt	VTT	5.16 KB
7. Broadcasting with Numpy.mp4	MP4	8.95 MB
7. Broadcasting with Numpy.vtt	VTT	3.79 KB
8. Solve Equations with Numpy.mp4	MP4	11.44 MB
8. Solve Equations with Numpy.vtt	VTT	4.19 KB
9. Numpy for Statistical Operation.mp4	MP4	14.95 MB
9. Numpy for Statistical Operation.vtt	VTT	6.75 KB

4. Introduction to Pandas

1. Data Structures in Python.mp4	MP4	25.07 MB
1. Data Structures in Python.vtt	VTT	10.04 KB
2. Read in Data.html	HTML	246 B
3. Read in CSV Data Using Pandas.mp4	MP4	15.32 MB
3. Read in CSV Data Using Pandas.vtt	VTT	5.79 KB
4. Read in Excel Data Using Pandas.mp4	MP4	11.38 MB
4. Read in Excel Data Using Pandas.vtt	VTT	3.78 KB
5. Reading in JSON Data.mp4	MP4	18.72 MB
5. Reading in JSON Data.vtt	VTT	3.06 KB
6. Read in HTML Data.mp4	MP4	51.31 MB
6. Read in HTML Data.vtt	VTT	11.14 KB
7. Conclusion to Section 4.mp4	MP4	5.4 MB
7. Conclusion to Section 4.vtt	VTT	2.24 KB

5. Data Pre-ProcessingWrangling

1. Rationale behind this section.mp4	MP4	8.11 MB
1. Rationale behind this section.vtt	VTT	4.59 KB
10. Rank and Sort Data.mp4	MP4	24.32 MB
10. Rank and Sort Data.vtt	VTT	7.3 KB
11. Concatenate.mp4	MP4	23.74 MB
11. Concatenate.vtt	VTT	8 KB
12. Merging and Joining Data Frames.mp4	MP4	28.8 MB
12. Merging and Joining Data Frames.vtt	VTT	10.66 KB
13. Conclusion to Section 5.mp4	MP4	5.39 MB
13. Conclusion to Section 5.vtt	VTT	2.21 KB
2. Removing NAsNo Values From Our Data.mp4	MP4	19.29 MB
2. Removing NAsNo Values From Our Data.vtt	VTT	6.38 KB
3. Basic Data Handling Starting with Conditional Data Selection.mp4	MP4	14.85 MB
3. Basic Data Handling Starting with Conditional Data Selection.vtt	VTT	4.08 KB
4. Drop ColumnRow.mp4	MP4	15.7 MB
4. Drop ColumnRow.vtt	VTT	4.39 KB
5. Subset and Index Data.mp4	MP4	28 MB
5. Subset and Index Data.vtt	VTT	7.77 KB
6. Basic Data Grouping Based on Qualitative Attributes.mp4	MP4	26.62 MB
6. Basic Data Grouping Based on Qualitative Attributes.vtt	VTT	8.31 KB
7. Crosstabulation.mp4	MP4	10.88 MB
7. Crosstabulation.vtt	VTT	3.85 KB
8. Reshaping.mp4	MP4	24.27 MB
8. Reshaping.vtt	VTT	9.59 KB
9. Pivoting.mp4	MP4	24.04 MB
9. Pivoting.vtt	VTT	8.41 KB

6. Introduction to Data Visualizations

1. What is Data Visualization.mp4	MP4	20.72 MB
1. What is Data Visualization.vtt	VTT	9.8 KB
2. Some Theoretical Principles Behind Data Visualization.mp4	MP4	16.56 MB
2. Some Theoretical Principles Behind Data Visualization.vtt	VTT	7.14 KB
3. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4	MP4	29.41 MB
3. Histograms-Visualize the Distribution of Continuous Numerical Variables.vtt	VTT	11.93 KB
4. Boxplots-Visualize the Distribution of Continuous Numerical Variables.mp4	MP4	13.44 MB
4. Boxplots-Visualize the Distribution of Continuous Numerical Variables.vtt	VTT	5.48 KB
5. Scatter Plot-Visualize the Relationship Between 2 Continuous Variables.mp4	MP4	29.82 MB
5. Scatter Plot-Visualize the Relationship Between 2 Continuous Variables.vtt	VTT	12.17 KB
6. Barplot.mp4	MP4	53.81 MB
6. Barplot.vtt	VTT	22.32 KB
7. Pie Chart.mp4	MP4	12.8 MB
7. Pie Chart.vtt	VTT	5.59 KB
8. Line Chart.mp4	MP4	37.09 MB
8. Line Chart.vtt	VTT	12.05 KB
9. Conclusions to Section 6.mp4	MP4	5.83 MB
9. Conclusions to Section 6.vtt	VTT	2.24 KB

7. Statistical Data Analysis-Basic

1. What is Statistical Data Analysis.mp4	MP4	25.29 MB
1. What is Statistical Data Analysis.vtt	VTT	9.55 KB
10. Standard Normal Distribution and Z-scores.mp4	MP4	9.81 MB
10. Standard Normal Distribution and Z-scores.vtt	VTT	4.19 KB
11. Confidence Interval-Theory.mp4	MP4	13.72 MB
11. Confidence Interval-Theory.vtt	VTT	5.86 KB
12. Confidence Interval-Calculation.mp4	MP4	13.65 MB
12. Confidence Interval-Calculation.vtt	VTT	5.76 KB
13. Conclusions to Section 7.mp4	MP4	3.82 MB
13. Conclusions to Section 7.vtt	VTT	1.56 KB
2. Some Pointers on Collecting Data for Statistical Studies.mp4	MP4	20.9 MB
2. Some Pointers on Collecting Data for Statistical Studies.vtt	VTT	9.06 KB
3. Some Pointers on Exploring Quantitative Data.html	HTML	517 B
4. Explore the Quantitative Data Descriptive Statistics.mp4	MP4	17.39 MB
4. Explore the Quantitative Data Descriptive Statistics.vtt	VTT	7.64 KB
5. Grouping Summarizing Data by Categories.mp4	MP4	33.05 MB
5. Grouping Summarizing Data by Categories.vtt	VTT	10.28 KB
6. Visualize Descriptive Statistics-Boxplots.mp4	MP4	11.5 MB
6. Visualize Descriptive Statistics-Boxplots.vtt	VTT	5.23 KB
7. Common Terms Relating to Descriptive Statistics.mp4	MP4	11.6 MB
7. Common Terms Relating to Descriptive Statistics.vtt	VTT	5.55 KB
8. Data Distribution- Normal Distribution.mp4	MP4	9.6 MB
8. Data Distribution- Normal Distribution.vtt	VTT	3.89 KB
9. Check for Normal Distribution.mp4	MP4	16.47 MB
9. Check for Normal Distribution.vtt	VTT	5.63 KB

8. Statistical Inference Relationship Between Variables

1. What is Hypothesis Testing.mp4	MP4	13.41 MB
1. What is Hypothesis Testing.vtt	VTT	5.83 KB
10. Polynomial Regression.mp4	MP4	9.23 MB
10. Polynomial Regression.vtt	VTT	3.74 KB
11. GLM Generalized Linear Model.mp4	MP4	11.84 MB
11. GLM Generalized Linear Model.vtt	VTT	5.16 KB
12. Logistic Regression.mp4	MP4	28.78 MB
12. Logistic Regression.vtt	VTT	11.12 KB
13. Conclusions to Section 8.mp4	MP4	4.94 MB
13. Conclusions to Section 8.vtt	VTT	2.03 KB
14. Section 8 Quiz.html	HTML	163 B
2. Test the Difference Between Two Groups.mp4	MP4	17.78 MB
2. Test the Difference Between Two Groups.vtt	VTT	7.3 KB
3. Test the Difference Between More Than Two Groups.mp4	MP4	28.28 MB
3. Test the Difference Between More Than Two Groups.vtt	VTT	10.95 KB
4. Explore the Relationship Between Two Quantitative Variables.mp4	MP4	9.44 MB
4. Explore the Relationship Between Two Quantitative Variables.vtt	VTT	4.41 KB
5. Correlation Analysis.mp4	MP4	20.73 MB
5. Correlation Analysis.vtt	VTT	8.63 KB
6. Linear Regression-Theory.mp4	MP4	24.87 MB
6. Linear Regression-Theory.vtt	VTT	9.84 KB
7. Linear Regression-Implementation in Python.mp4	MP4	30.15 MB
7. Linear Regression-Implementation in Python.vtt	VTT	11.51 KB
8. Conditions of Linear Regression.mp4	MP4	2.98 MB
8. Conditions of Linear Regression.vtt	VTT	1.82 KB
9. Conditions of Linear Regression-Check in Python.mp4	MP4	33.36 MB
9. Conditions of Linear Regression-Check in Python.vtt	VTT	12.56 KB

9. Machine Learning for Data Science

1. How is Machine Learning Different from Statistical Data Analysis.mp4	MP4	13.71 MB
1. How is Machine Learning Different from Statistical Data Analysis.vtt	VTT	6.18 KB
2. What is Machine Learning (ML) About Some Theoretical Pointers.mp4	MP4	15.75 MB
2. What is Machine Learning (ML) About Some Theoretical Pointers.vtt	VTT	6.57 KB

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Udemy - Complete Data Science Training with Python for Data Analysis [Desire Course]

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