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README.md

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# Machine Learning
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Practical Machine Learning topics for articles in my [Medium blog](https://bindichen.medium.com/)
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### Content
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#### Content
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1. [General Setup](#general-setup)
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2. [Data Analysis](#data-analysis)
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1. [Data Analysis](#data-analysis)
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* [Pandas](#pandas)
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* [Applied Data Analysis and EDA](#applied-data-analysis-and-eda)
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3. [Web scraping](#web-scraping)
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3. [Data Visualization](#data-visualization)
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4. [TensorFlow](#tensorflow)
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5. [Scikit-Learn](#scikit-learn)
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6. [PyTorch](#pytorch)
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1. [Web scraping](#web-scraping)
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1. [Data Visualization](#data-visualization)
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1. [TensorFlow](#tensorflow)
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1. [PyTorch](#pytorch)
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1. [Scikit-Learn](#scikit-learn-and-general-machine-learning)
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## General Setup
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* [Create Virtual Environment using “virtualenv” and add it to Jupyter Notebook](https://towardsdatascience.com/create-virtual-environment-using-virtualenv-and-add-it-to-jupyter-notebook-6e1bf4e03415)
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* [7 popular activation functions in Deep Learning](https://bindichen.medium.com/7-popular-activation-functions-you-should-know-in-deep-learning-and-how-to-use-them-with-keras-and-27b4d838dfe6) | [![View on Github](https://img.shields.io/badge/Github-Notebook-orange?logo=Github)](tensorflow2/010-popular-activation-functions/popular-activation-functions.ipynb)
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* [Why ReLU in Deep Learning and the best practice](https://towardsdatascience.com/why-rectified-linear-unit-relu-in-deep-learning-and-the-best-practice-to-use-it-with-tensorflow-e9880933b7ef) | [![View on Github](https://img.shields.io/badge/Github-Notebook-orange?logo=Github)](tensorflow2/011-relu/relu-and-best-practice.ipynb)
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## Scikit-Learn
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### PyTorch
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TBA
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## Scikit-Learn and General Machine Learning
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* [A Practical Introduction to Grid Search, Random Search, and Bayes Search](https://bindichen.medium.com/a-practical-introduction-to-grid-search-random-search-and-bayes-search-d5580b1d941d) | [![View on Github](https://img.shields.io/badge/Github-Notebook-orange?logo=Github)](traditional-machine-learning/005-grid-search-vs-random-search-vs-bayes-search/gridsearch-vs-randomsearch-vs-bayessearch.ipynb)
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* [A Practical Introduction to 9 Regression Algorithms](https://bindichen.medium.com/a-practical-introduction-to-9-regression-algorithms-389057f86eb9) | [![View on Github](https://img.shields.io/badge/Github-Notebook-orange?logo=Github)](traditional-machine-learning/001-regression-algorithms/regression-algorithms.ipynb)
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* Train-Test split and Cross-Validation you should know in Machine Learning (TBA) | [![View on Github](https://img.shields.io/badge/Github-Notebook-orange?logo=Github)](traditional-machine-learning/006-train-test-split-and-cross-validation/train-test-and-cross-validation.ipynb)
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### PyTorch
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TBA

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