FreeCourseSite com Udemy Complete Python for Data Science Machine Learning from |
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[FreeCourseSite.com] Udemy - Complete Python for Data Science & Machine Learning from A-Z |
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Total Size |
13.1 GB |
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Total Files |
371 |
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Last Seen |
2024-07-08 23:45 |
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Hash |
BA5FFFE5C08E32B64F629B8DA35A94A703227F54 |
/0. Websites you may like/ |
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/1. Installations/ |
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136.7 MB |
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64.1 MB |
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133.4 MB |
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76.5 MB |
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51.3 MB |
/10. Conditional Expressions in Python Programming Language/ |
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20.9 MB |
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29.1 MB |
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42.6 MB |
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/11. For Loop in Python Programming Language/ |
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38.4 MB |
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/12. While Loop in Python Programming Language/ |
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/13. Functions in Python Programming Language/ |
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25.6 MB |
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18.7 MB |
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14.2 MB |
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21.0 MB |
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40.8 MB |
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/14. Arguments And Parameters in Python Programming Language/ |
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49.7 MB |
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41.0 MB |
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/15. Most Used Functions in Python Programming Language/ |
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28.9 MB |
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14.9 MB |
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/16. Class Structure in Python Programming Language/ |
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14.1 MB |
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33.2 MB |
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34.4 MB |
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37.2 MB |
/17. NumPy Library Introduction/ |
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47.5 MB |
2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html |
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62.8 MB |
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/18. Creating NumPy Array in Python/ |
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/19. Functions in the NumPy Library/ |
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27.4 MB |
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/2. First Step to Coding/ |
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/20. Indexing, Slicing, and Assigning NumPy Arrays/ |
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27.9 MB |
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23.4 MB |
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35.9 MB |
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19.1 MB |
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37.1 MB |
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21.5 MB |
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48.0 MB |
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13.3 MB |
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17.3 MB |
/21. Operations in Numpy Library/ |
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22.2 MB |
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75.3 MB |
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33.6 MB |
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25.4 MB |
/22. Pandas Library Introduction/ |
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35.6 MB |
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/23. Series Structures in the Pandas Library/ |
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41.1 MB |
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19.2 MB |
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19.8 MB |
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50.5 MB |
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/24. DataFrame Structures in Pandas Library/ |
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23.7 MB |
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12.7 MB |
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16.6 MB |
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27.2 MB |
/25. Element Selection Operations in DataFrame Structures/ |
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1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4 |
31.3 MB |
2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4 |
33.4 MB |
3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4 |
40.2 MB |
4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4 |
32.9 MB |
5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4 |
23.2 MB |
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48.6 MB |
/26. Structural Operations on Pandas DataFrame/ |
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35.2 MB |
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16.3 MB |
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70.3 MB |
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36.2 MB |
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54.1 MB |
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41.6 MB |
/27. Multi-Indexed DataFrame Structures/ |
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44.7 MB |
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25.8 MB |
3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 |
32.8 MB |
/28. Structural Concatenation Operations in Pandas DataFrame/ |
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67.0 MB |
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60.1 MB |
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32.0 MB |
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63.1 MB |
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42.7 MB |
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58.8 MB |
/29. Functions That Can Be Applied on a DataFrame/ |
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39.5 MB |
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44.9 MB |
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95.1 MB |
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48.8 MB |
5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 |
92.4 MB |
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30.6 MB |
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25.7 MB |
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49.4 MB |
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43.4 MB |
/3. Basic Operations with Python/ |
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27.3 MB |
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34.4 MB |
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/30. Pivot Tables in Pandas Library/ |
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41.0 MB |
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56.9 MB |
/31. File Operations in Pandas Library/ |
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36.3 MB |
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67.5 MB |
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22.9 MB |
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37.4 MB |
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20.7 MB |
/32. Matplotlib/ |
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20.0 MB |
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29.6 MB |
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29.7 MB |
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73.3 MB |
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66.4 MB |
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28.7 MB |
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25.0 MB |
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116.6 MB |
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57.5 MB |
/33. Seaborn/ |
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14.2 MB |
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43.8 MB |
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57.6 MB |
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50.7 MB |
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103.6 MB |
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45.1 MB |
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63.0 MB |
/34. Geoplotlib/ |
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35.8 MB |
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40.8 MB |
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85.1 MB |
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53.8 MB |
/35. Intro to Machine Learning with Python/ |
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28.9 MB |
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14.7 MB |
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/36. Evaluation Metrics in Machine Learning/ |
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20.9 MB |
2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 |
105.2 MB |
3. Evaluating Performance Regression Error Metrics in Python.mp4 |
47.9 MB |
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96.7 MB |
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/37. Supervised Learning with Machine Learning/ |
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33.2 MB |
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/38. Linear Regression Algorithm in Machine Learning A-Z/ |
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1. Linear Regression Algorithm Theory in Machine Learning A-Z.mp4 |
35.7 MB |
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79.9 MB |
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112.1 MB |
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73.7 MB |
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94.4 MB |
/39. Bias Variance Trade-Off in Machine Learning/ |
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57.7 MB |
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/4. Boolean Data Type in Python Programming Language/ |
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20.9 MB |
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4.2 MB |
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38.4 MB |
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/40. Logistic Regression Algorithm in Machine Learning A-Z/ |
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1. What is Logistic Regression Algorithm in Machine Learning.mp4 |
29.2 MB |
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75.7 MB |
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85.4 MB |
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36.5 MB |
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49.5 MB |
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/41. K-fold Cross-Validation in Machine Learning A-Z/ |
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18.3 MB |
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36.4 MB |
/42. K Nearest Neighbors Algorithm in Machine Learning A-Z/ |
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30.1 MB |
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36.7 MB |
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62.3 MB |
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/43. Hyperparameter Optimization/ |
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34.7 MB |
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49.8 MB |
/44. Decision Tree Algorithm in Machine Learning A-Z/ |
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37.5 MB |
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33.1 MB |
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51.3 MB |
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15.4 MB |
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44.6 MB |
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/45. Random Forest Algorithm in Machine Learning A-Z/ |
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24.0 MB |
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40.5 MB |
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40.6 MB |
/46. Support Vector Machine Algorithm in Machine Learning A-Z/ |
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22.9 MB |
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37.3 MB |
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43.7 MB |
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49.6 MB |
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39.4 MB |
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/47. Unsupervised Learning with Machine Learning/ |
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17.7 MB |
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/48. K Means Clustering Algorithm in Machine Learning A-Z/ |
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18.0 MB |
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31.4 MB |
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31.1 MB |
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/49. Hierarchical Clustering Algorithm in machine learning data science/ |
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30.0 MB |
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37.2 MB |
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30.3 MB |
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/5. String Data Type in Python Programming Language/ |
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35.1 MB |
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25.5 MB |
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28.4 MB |
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34.5 MB |
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/50. Principal Component Analysis (PCA) in Machine Learning A-Z/ |
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39.8 MB |
2. Principal Component Analysis (PCA) with Python Part 1.mp4 |
27.3 MB |
3. Principal Component Analysis (PCA) with Python Part 2.mp4 |
8.8 MB |
4. Principal Component Analysis (PCA) with Python Part 3.mp4 |
39.1 MB |
/51. Recommender System Algorithm in Machine Learning A-Z/ |
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24.2 MB |
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18.8 MB |
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/52. First Contact with Kaggle/ |
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136.0 MB |
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11.2 KB |
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45.6 MB |
4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html |
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128.9 MB |
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/53. Competition Section on Kaggle/ |
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197.3 MB |
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201.1 MB |
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/54. Dataset Section on Kaggle/ |
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139.6 MB |
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/55. Code Section on Kaggle/ |
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83.4 MB |
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111.0 MB |
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167.7 MB |
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/56. Discussion Section on Kaggle/ |
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42.6 MB |
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/57. Other Most Used Options on Kaggle/ |
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54.7 MB |
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112.3 MB |
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42.9 MB |
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/58. Details on Kaggle/ |
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85.5 MB |
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78.3 MB |
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40.1 MB |
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61.3 MB |
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/59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/ |
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122.9 MB |
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15.7 KB |
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110.1 MB |
4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html |
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80.2 MB |
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133.0 MB |
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/6. List Data Structure in Python Programming Language/ |
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55.0 MB |
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37.8 MB |
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35.6 MB |
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22.5 MB |
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21.4 MB |
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26.0 MB |
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/60. First Organization/ |
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66.7 MB |
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10.5 MB |
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67.1 MB |
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/61. Preparation For Exploratory Data Analysis (EDA) in Data Science/ |
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48.0 MB |
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46.7 MB |
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16.6 MB |
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95.8 MB |
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/62. Exploratory Data Analysis (EDA) - Uni-variate Analysis/ |
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84.2 MB |
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20.7 MB |
3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4 |
78.4 MB |
4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 |
88.1 MB |
5. Examining the Missing Data According to the Analysis Result.mp4 |
56.4 MB |
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/63. Exploratory Data Analysis (EDA) - Bi-variate Analysis/ |
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1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4 |
51.8 MB |
10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4 |
71.4 MB |
11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4 |
39.9 MB |
12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4 |
37.2 MB |
13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4 |
38.1 MB |
14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 |
95.1 MB |
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2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4 |
37.4 MB |
3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4 |
25.3 MB |
4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4 |
59.0 MB |
5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4 |
29.7 MB |
6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4 |
49.4 MB |
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36.9 MB |
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55.4 MB |
9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4 |
43.7 MB |
/64. Preparation for Modelling in Machine Learning/ |
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28.1 MB |
10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4 |
12.0 MB |
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31.2 MB |
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36.6 MB |
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44.9 MB |
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46.0 MB |
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38.0 MB |
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37.8 MB |
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26.4 MB |
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25.2 MB |
9. Applying One Hot Encoding Method to Categorical Variables.mp4 |
25.3 MB |
/65. Modelling for Machine Learning/ |
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30.8 MB |
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31.7 MB |
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43.7 MB |
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61.6 MB |
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27.0 MB |
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25.7 MB |
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31.2 MB |
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55.2 MB |
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/66. Conclusion/ |
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30.1 MB |
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/67. Extra/ |
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1. Complete Python for Data Science & Machine Learning from A-Z.html |
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/7. Tuple Data Structure in Python Programming Language/ |
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44.5 MB |
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20.7 MB |
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0.2 KB |
/8. Dictionary Data Structure in Python Programming Language/ |
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22.9 MB |
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33.1 MB |
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17.0 MB |
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36.4 MB |
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0.2 KB |
/9. Set Data Structure in Python Programming Language/ |
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34.4 MB |
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19.7 MB |
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20.9 MB |
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11.3 MB |
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24.1 MB |
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Total files 371 |
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