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WebToolTip com Python Machine Learning all concepts

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[ WebToolTip.com ] Python Machine Learning -all concepts a-z

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66

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6D6FF669F2A0C8529917916A738F15896D440AED

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0.2 KB

/.../1 - Introduction to Machine Learning/

1. Course Introduction.mp4

40.4 MB

2. What is Machine Learning.mp4

7.3 MB

3. ML vs Traditional Programming.mp4

5.4 MB

4. Supervised Learning.mp4

4.3 MB

5. Unsupervised Learning.mp4

3.7 MB

6. Reinforcement Learning.mp4

4.2 MB

/.../10 - Feature Engineering/

39. Encoding Categorical Variables.mp4

22.6 MB

40. Handling Outliers.mp4

17.3 MB

41. Feature Scaling.mp4

27.5 MB

42. Creating New Features.mp4

21.9 MB

/.../11 - Saving & Loading Models/

43. Model Persistence.mp4

20.9 MB

44. Training Phase.mp4

20.6 MB

45. Saving with Pickle.mp4

10.7 MB

46. Using Joblib.mp4

8.4 MB

47. Loading for Prediction.mp4

29.7 MB

/.../12 - Practical ML Projects/

48. Practical ML Project- Live Example.mp4

37.4 MB

/.../13 - Deployment Basics/

49. What is Model Deployment.mp4

9.6 MB

50. Deployment Workflow 1. Save Trained Model.mp4

9.1 MB

51. Deployment Workflow 2. Create API Endpoint.mp4

1.5 MB

52. Deployment Workflow 3. Test Integration.mp4

5.6 MB

53. Deployment Workflow 4. Deploy to Production.mp4

5.0 MB

54. Introduction to FastAPI for ML.mp4

2.1 MB

/.../14 - Best Practices & ML Workflow/

55. Project Structure.mp4

6.8 MB

56. Ethical ML & Privacy.mp4

6.6 MB

57. Reproducibility.mp4

5.9 MB

58. Data Versioning.mp4

5.3 MB

59. Code Quality Standards.mp4

5.0 MB

60. Documentation Essentials.mp4

5.2 MB

/.../15 - Interview Preparation/

61. Fundamental Concepts.mp4

8.1 MB

62. Algorithm Deep Dives.mp4

4.5 MB

63. Practical Scenarios & Coding Challenges.mp4

8.0 MB

64. Common Interview Topics & Final Tips.mp4

8.2 MB

/.../2 - Python for Machine Learning/

7. Why Python for ML.mp4

5.7 MB

8. Python ML Ecosystem.mp4

17.9 MB

9. Installation & Environment Setup with practical Demo.mp4

29.7 MB

/.../3 - ML Libraries in Python/

10. ML Libraries in Python.mp4

11.1 MB

11. NumPy Basics.mp4

4.9 MB

12. Pandas Basics.mp4

4.0 MB

13. Scikit-Learn basics.mp4

3.7 MB

14. Matplotlib & Seaborn basics.mp4

3.5 MB

15. SciPy basics.mp4

2.9 MB

/.../4 - Data Handling & Preprocessing/

16. Loading & Inspecting Data.mp4

37.6 MB

17. Handling Missing Values & Feature Engineering.mp4

27.1 MB

18. Train-Test Split & Scaling Normalization.mp4

20.2 MB

/.../5 - Exploratory Data Analysis (EDA)/

19. Understanding Your Data.mp4

9.9 MB

20. Summary Statistics.mp4

11.2 MB

21. Data Visualisation Basics.mp4

20.2 MB

22. Scatter Plots & Bar Charts.mp4

14.1 MB

23. Correlation Analysis.mp4

20.0 MB

24. Distribution Plots.mp4

9.1 MB

/.../6 - Supervised Learning - Regression/

25. Understanding Regression Simple Linear Regression & Multiple Linear Regression.mp4

32.9 MB

26. Model Training & Evaluation.mp4

28.7 MB

27. MAE(Mean Absolute Error), MSE(Mean Squared Error), RMSE(Root Mean Squared Error).mp4

11.5 MB

/.../7 - Supervised Learning - Classification/

28. Logistic Regression.mp4

26.8 MB

29. K-Nearest Neighbors.mp4

38.3 MB

30. Decision Trees.mp4

16.5 MB

31. Random Forest.mp4

20.9 MB

32. Model Evaluation Metrics Accuracy, Precision, Recall, F1 Score.mp4

48.8 MB

/.../8 - Model Evaluation & Validation/

33. Confusion Matrix.mp4

58.0 MB

34. Cross-Validation.mp4

31.2 MB

35. Overfitting, Underfitting, Bias-Variance Tradeoff.mp4

24.8 MB

/9 - Unsupervised Learning/

36. K-Means Clustering.mp4

17.5 MB

37. Hierarchical Clustering.mp4

25.2 MB

38. Principal Component Analysis.mp4

27.9 MB

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Bonus Resources.txt

0.1 KB

 

Total files 66


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