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Notebook","readme":"This repo is organized into various folders, each covering different aspects of machine learning. \n\nInside each folder, you'll find code examples and explanations to help you understand and practice each topic.\n\n\n\u003ctable\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth\u003eFolder\u003c/th\u003e\n      \u003cth\u003eDescription\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003ca\u003e\u003c/a\u003e01-python-for-ml\u003ca\u003e\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eBasic Python libraries for machine learning.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u0026nbsp;\u0026nbsp;\u003ca href=\"https://github.com/codeasarjun/_easy_machine_learning/blob/main/01-python-for-ml/numpy_basics.ipynb\"\u003eNumpy\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eIntroduction to Numpy basics.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u0026nbsp;\u0026nbsp;\u003ca\u003ePandas\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eIntroduction to Pandas basics.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u0026nbsp;\u0026nbsp;\u003ca\u003eMatplotlib\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eIntroduction to Matplotlib basics.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u0026nbsp;\u0026nbsp;\u003ca\u003eSciPy\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eIntroduction to Scipy basics.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003ca\u003e02-data-preprocessing\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eTechniques and methods for preprocessing data before applying machine learning algorithms.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u0026nbsp;\u0026nbsp;\u003ca\u003eData Preprocessing\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eNotebook on data preprocessing techniques.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003ca\u003e03-exploratory-data-analysis\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eExploratory Data Analysis (EDA) techniques to understand and visualize data.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u0026nbsp;\u0026nbsp;\u003ca\u003eEDA\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eNotebook on exploratory data analysis.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003ca\u003e04-supervised-learning\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eSupervised learning methods including classification and regression techniques.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u0026nbsp;\u0026nbsp;\u003ca\u003eClassification\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eNotebook on classification techniques.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u0026nbsp;\u0026nbsp;\u003ca\u003eRegression\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eNotebook on regression techniques.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003ca\u003e05-unsupervised-learning\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eUnsupervised learning techniques including clustering and dimensionality reduction methods.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u0026nbsp;\u0026nbsp;\u003ca\u003eClustering\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eNotebook on clustering techniques.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u0026nbsp;\u0026nbsp;\u003ca\u003eDimensionality Reduction\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003eNotebook on dimensionality reduction techniques.\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      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