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| [CourseClub.Me].url |
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| [CourseClub.Me].url |
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| [CourseClub.ME].url |
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| [GigaCourse.Com].url |
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| 1. Advance Programming in Python.mp4 |
359.55MB |
| 1. Advance Programming in Python.srt |
72.86KB |
| 1. Big Data.mp4 |
84.59MB |
| 1. Big Data.srt |
14.62KB |
| 1. Data Analysis using R.mp4 |
19.78MB |
| 1. Data Analysis using R.srt |
4.29KB |
| 1. EDA.mp4 |
27.40MB |
| 1. EDA.srt |
9.79KB |
| 1. Getting Started with Data Science.mp4 |
71.82MB |
| 1. Getting Started with Data Science.srt |
13.88KB |
| 1. Introduction Machine Learning.mp4 |
81.41MB |
| 1. Introduction Machine Learning.srt |
19.57KB |
| 1. Let's Start with Statistics.mp4 |
128.91MB |
| 1. Let's Start with Statistics.srt |
13.25KB |
| 1. Linear Regression.mp4 |
150.10MB |
| 1. Linear Regression.srt |
37.20KB |
| 1. Project Part 1 Let's get our system ready.mp4 |
112.64MB |
| 1. Project Part 1 Let's get our system ready.srt |
18.44KB |
| 1. Python for Data Science.mp4 |
52.23MB |
| 1. Python for Data Science.srt |
5.02KB |
| 10. Conversion of Data Types in Python.mp4 |
54.20MB |
| 10. Conversion of Data Types in Python.srt |
7.42KB |
| 10. Random Variables.mp4 |
57.21MB |
| 10. Random Variables.srt |
6.04KB |
| 10. Working on Titanic Data Set.mp4 |
84.75MB |
| 10. Working on Titanic Data Set.srt |
13.68KB |
| 11. Normal Probability Distribution.mp4 |
104.21MB |
| 11. Normal Probability Distribution.srt |
11.28KB |
| 11. Python IO functions.mp4 |
14.23MB |
| 11. Python IO functions.srt |
1.70KB |
| 11. Random Forest.mp4 |
26.11MB |
| 11. Random Forest.srt |
5.88KB |
| 12. Central Limit Theorem.mp4 |
49.37MB |
| 12. Central Limit Theorem.srt |
4.70KB |
| 12. Output Formatting.mp4 |
75.61MB |
| 12. Output Formatting.srt |
6.27KB |
| 12. Types of Random Forest.mp4 |
3.76MB |
| 12. Types of Random Forest.srt |
1.44KB |
| 13. Hypothesis Testing for Decision Making.mp4 |
83.86MB |
| 13. Hypothesis Testing for Decision Making.srt |
8.88KB |
| 13. User Input in Python.mp4 |
32.47MB |
| 13. User Input in Python.srt |
2.50KB |
| 13. Why Random Forest.mp4 |
9.53MB |
| 13. Why Random Forest.srt |
2.48KB |
| 14. Application of Random Forest.mp4 |
17.99MB |
| 14. Application of Random Forest.srt |
3.29KB |
| 14. Operators in Python.mp4 |
120.69MB |
| 14. Operators in Python.srt |
22.66KB |
| 15. Control Flow in Python.mp4 |
273.50MB |
| 15. Control Flow in Python.srt |
54.46KB |
| 15. Random Forest Implementation on Titanic Data Set.mp4 |
73.60MB |
| 15. Random Forest Implementation on Titanic Data Set.srt |
12.33KB |
| 16. Functions in Python.mp4 |
117.24MB |
| 16. Functions in Python.srt |
20.27KB |
| 16. Model Evaluation Technique.mp4 |
31.14MB |
| 16. Model Evaluation Technique.srt |
7.89KB |
| 17. Concept of R-Squared.mp4 |
26.84MB |
| 17. Concept of R-Squared.srt |
5.73KB |
| 17. Types of Functions in Python.mp4 |
228.92MB |
| 17. Types of Functions in Python.srt |
33.37KB |
| 18. Argument in a Function.mp4 |
88.29MB |
| 18. Argument in a Function.srt |
12.05KB |
| 18. Linear Regression.mp4 |
76.20MB |
| 18. Linear Regression.srt |
11.51KB |
| 19. Classification.mp4 |
21.67MB |
| 19. Classification.srt |
5.76KB |
| 19. Recursive Functions in Python.mp4 |
78.23MB |
| 19. Recursive Functions in Python.srt |
12.07KB |
| 2. Advance Programming in Python Part 2.mp4 |
599.89MB |
| 2. Advance Programming in Python Part 2.srt |
121.46KB |
| 2. Data Analysis using R part 2.mp4 |
22.75MB |
| 2. Data Analysis using R part 2.srt |
4.77KB |
| 2. Data Quality Issues.mp4 |
62.75MB |
| 2. Data Quality Issues.srt |
5.98KB |
| 2. EDA on Mc'donalds Data Set.mp4 |
689.79MB |
| 2. EDA on Mc'donalds Data Set.srt |
111.97KB |
| 2. How to use Linear Regression.mp4 |
303.56MB |
| 2. How to use Linear Regression.srt |
56.83KB |
| 2. Intro to Hadoop.mp4 |
57.96MB |
| 2. Intro to Hadoop.srt |
10.50KB |
| 2. Project part 2.mp4 |
57.63MB |
| 2. Project part 2.srt |
10.36KB |
| 2. Python Installation - Google Collab.mp4 |
36.01MB |
| 2. Python Installation - Google Collab.srt |
7.76KB |
| 2. Unsupervised Learning.mp4 |
29.34MB |
| 2. Unsupervised Learning.srt |
6.70KB |
| 20. Confusion Matrix.mp4 |
37.17MB |
| 20. Confusion Matrix.srt |
8.64KB |
| 20. Lambda or Anonymous Functions in Python.mp4 |
47.04MB |
| 20. Lambda or Anonymous Functions in Python.srt |
6.79KB |
| 21. Recall Sensitivity True Rate of Positive.mp4 |
22.86MB |
| 21. Recall Sensitivity True Rate of Positive.srt |
5.24KB |
| 22. FB score.mp4 |
36.24MB |
| 22. FB score.srt |
11.07KB |
| 23. AUC ROC curve.mp4 |
36.48MB |
| 23. AUC ROC curve.srt |
8.45KB |
| 24. Model Evaluation recall Curve.mp4 |
90.30MB |
| 24. Model Evaluation recall Curve.srt |
15.25KB |
| 3. All about R Language.mp4 |
58.24MB |
| 3. All about R Language.srt |
11.78KB |
| 3. Data Visualisations.mp4 |
263.61MB |
| 3. Data Visualisations.srt |
45.44KB |
| 3. Exploratory Data Analysis.mp4 |
438.81MB |
| 3. Exploratory Data Analysis.srt |
77.99KB |
| 3. Intro to Tableu.mp4 |
56.97MB |
| 3. Intro to Tableu.srt |
12.50KB |
| 3. Logistic Regression.mp4 |
156.33MB |
| 3. Logistic Regression.srt |
40.02KB |
| 3. Project Part 3.mp4 |
129.40MB |
| 3. Project Part 3.srt |
24.07KB |
| 3. Python Basics.mp4 |
20.12MB |
| 3. Python Basics.srt |
3.39KB |
| 3. Reinforement Learning.mp4 |
43.08MB |
| 3. Reinforement Learning.srt |
8.95KB |
| 3. Types of Statistics.mp4 |
91.56MB |
| 3. Types of Statistics.srt |
9.44KB |
| 4. Bivariate Plotting.mp4 |
148.84MB |
| 4. Bivariate Plotting.srt |
36.96KB |
| 4. Identifiers in Python.mp4 |
35.58MB |
| 4. Identifiers in Python.srt |
4.29KB |
| 4. Intro to Business Analytics.mp4 |
53.86MB |
| 4. Intro to Business Analytics.srt |
11.95KB |
| 4. Logistic Regression on Titanic Data Set.mp4 |
141.05MB |
| 4. Logistic Regression on Titanic Data Set.srt |
22.32KB |
| 4. Measures of Spread.mp4 |
148.93MB |
| 4. Measures of Spread.srt |
12.06KB |
| 4. Project part 4.mp4 |
113.85MB |
| 4. Project part 4.srt |
21.68KB |
| 5. Comments in Python.mp4 |
42.40MB |
| 5. Comments in Python.srt |
6.28KB |
| 5. Decision Tree.mp4 |
27.03MB |
| 5. Decision Tree.srt |
6.96KB |
| 5. Measures of Shapes.mp4 |
57.64MB |
| 5. Measures of Shapes.srt |
6.67KB |
| 5. Multivariate Plotting.mp4 |
336.46MB |
| 5. Multivariate Plotting.srt |
61.49KB |
| 5. Project Let's Finalise it.mp4 |
119.42MB |
| 5. Project Let's Finalise it.srt |
21.62KB |
| 6. Algorithms used in Decision Treee.mp4 |
86.75MB |
| 6. Algorithms used in Decision Treee.srt |
24.05KB |
| 6. Plots Visualisation.mp4 |
87.48MB |
| 6. Plots Visualisation.srt |
9.56KB |
| 6. Python Indentation.mp4 |
38.33MB |
| 6. Python Indentation.srt |
6.26KB |
| 7. Gini Index.mp4 |
39.13MB |
| 7. Gini Index.srt |
11.84KB |
| 7. Inferential Statistics.mp4 |
45.98MB |
| 7. Inferential Statistics.srt |
5.28KB |
| 7. Python Statements.mp4 |
17.82MB |
| 7. Python Statements.srt |
4.08KB |
| 8. Issues with Decision Tree.mp4 |
36.70MB |
| 8. Issues with Decision Tree.srt |
8.54KB |
| 8. Probability.mp4 |
179.78MB |
| 8. Probability.srt |
13.45KB |
| 8. Variables in Python.mp4 |
43.55MB |
| 8. Variables in Python.srt |
6.36KB |
| 9. Applications of Decision Tree.mp4 |
13.05MB |
| 9. Applications of Decision Tree.srt |
2.93KB |
| 9. Conditional Probability.mp4 |
26.45MB |
| 9. Conditional Probability.srt |
2.97KB |
| 9. Data Types & Related Stuffs in Python.mp4 |
203.26MB |
| 9. Data Types & Related Stuffs in Python.srt |
32.66KB |