├── 01. Python Classes Handwritten Notes.pdf ├── 02. OOPs Implementation in Python.pdf ├── 03. RegEx Handwritten Notes.pdf ├── 04. Python MySQL Database Notes.pdf ├── 05. numpy_notes.pdf ├── 06. numpy_math_operations.pdf ├── 07. Numpy Statistic_functions_Notes.pdf ├── 08. Pandas_intro_Notes.pdf ├── 09. Pandas_Data_Manipulation_Notes.pdf ├── 10. Data Cleaning Notes.pdf ├── 11. Feature_engg_Time_series_note.pdf ├── 12. MatplotLib Intro.pdf ├── 13. matplotlib scatter hist notes.pdf ├── 14. Seaborn Intro Notes.pdf ├── 15. seaborn visualization notes.pdf ├── 16. Python Fundamentals Handwritten Notes.pdf ├── 17. NumPy Revision Handwritten Notes.pdf ├── 18. Pandas Revision Handwritten Notes.pdf ├── 19. AI and ML Fundamentals Notes.pdf ├── 20. Machine_Learning_Workflow.pdf ├── 20. Machine_Learning_Workflow_page-0001.jpg ├── 21. SLR Implementation.jpg ├── 21. Simple Linear Regression Notes.pdf ├── 22. MLR Implementation.jpg ├── 22. Multiple Linear Regression Notes.pdf ├── 23. Classification in ML.pdf ├── 24. Logistic Regression Notes.pdf ├── 25. Decision Tree Handwritten Notes.pdf ├── 25. Decision Tree Implementation_page-0001.jpg ├── 26. Random Forest Implementation_page.jpg ├── 27. Hyperparameter Tuningin Random Forest.pdf ├── 28. SVM Introduction.pdf ├── 29. SVM Implementation.pdf ├── 30. KNN Classification Steps.jpg ├── 30. KNN Introduction Notes.pdf ├── 30. KNN Regression Steps.jpg ├── 31. ML Fundamentals Revision Notes.pdf └── README.md /01. Python Classes Handwritten Notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/Data-Science-Handwritten-Notes/8ba646e57bd8bd3d072f7208364907ed57b6cd3d/01. Python Classes Handwritten Notes.pdf -------------------------------------------------------------------------------- /02. 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Python MySQL Database Notes.pdf -------------------------------------------------------------------------------- /05. numpy_notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/Data-Science-Handwritten-Notes/8ba646e57bd8bd3d072f7208364907ed57b6cd3d/05. numpy_notes.pdf -------------------------------------------------------------------------------- /06. numpy_math_operations.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/Data-Science-Handwritten-Notes/8ba646e57bd8bd3d072f7208364907ed57b6cd3d/06. numpy_math_operations.pdf -------------------------------------------------------------------------------- /07. 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Pandas_Data_Manipulation_Notes.pdf -------------------------------------------------------------------------------- /10. Data Cleaning Notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/Data-Science-Handwritten-Notes/8ba646e57bd8bd3d072f7208364907ed57b6cd3d/10. Data Cleaning Notes.pdf -------------------------------------------------------------------------------- /11. Feature_engg_Time_series_note.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/Data-Science-Handwritten-Notes/8ba646e57bd8bd3d072f7208364907ed57b6cd3d/11. Feature_engg_Time_series_note.pdf -------------------------------------------------------------------------------- /12. MatplotLib Intro.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/Data-Science-Handwritten-Notes/8ba646e57bd8bd3d072f7208364907ed57b6cd3d/12. MatplotLib Intro.pdf -------------------------------------------------------------------------------- /13. matplotlib scatter hist notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/Data-Science-Handwritten-Notes/8ba646e57bd8bd3d072f7208364907ed57b6cd3d/13. matplotlib scatter hist notes.pdf -------------------------------------------------------------------------------- /14. Seaborn Intro Notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/Data-Science-Handwritten-Notes/8ba646e57bd8bd3d072f7208364907ed57b6cd3d/14. 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NumPy Revision Handwritten Notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/Data-Science-Handwritten-Notes/8ba646e57bd8bd3d072f7208364907ed57b6cd3d/17. NumPy Revision Handwritten Notes.pdf -------------------------------------------------------------------------------- /18. Pandas Revision Handwritten Notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/Data-Science-Handwritten-Notes/8ba646e57bd8bd3d072f7208364907ed57b6cd3d/18. Pandas Revision Handwritten Notes.pdf -------------------------------------------------------------------------------- /19. AI and ML Fundamentals Notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mankarsnehal/Data-Science-Handwritten-Notes/8ba646e57bd8bd3d072f7208364907ed57b6cd3d/19. 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