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-[![License](https://img.shields.io/badge/License-BSD%202--Clause-orange.svg)](https://opensource.org/licenses/BSD-2-Clause)
-[![GitHub forks](https://img.shields.io/github/forks/tirthajyoti/Machine-Learning-with-Python.svg)](https://github.com/tirthajyoti/Machine-Learning-with-Python/network)
-[![GitHub stars](https://img.shields.io/github/stars/tirthajyoti/Machine-Learning-with-Python.svg)](https://github.com/tirthajyoti/Machine-Learning-with-Python/stargazers)
-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/tirthajyoti/Machine-Learning-with-Python/pulls)
-
-# Python Machine Learning Jupyter Notebooks ([ML website](https://machine-learning-with-python.readthedocs.io/en/latest/))
-
-### Dr. Tirthajyoti Sarkar, Fremont, California ([Please feel free to connect on LinkedIn here](https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7))
-
-![ml-ds](https://raw.githubusercontent.com/tirthajyoti/Machine-Learning-with-Python/master/Images/ML-DS-cycle-1.png)
-
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-
-## Also check out these super-useful Repos that I curated
-
-- ### [Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning](https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI)
-
-- ### [Carefully curated resource links for data science in one place](https://github.com/tirthajyoti/Data-science-best-resources)
-
 ## Requirements
 * **Python 3.6+**
 * **NumPy (`pip install numpy`)**
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 ### Object-oriented programming with machine learning
 Implementing some of the core OOP principles in a machine learning context by [building your own Scikit-learn-like estimator, and making it better](https://github.com/tirthajyoti/Machine-Learning-with-Python/blob/master/OOP_in_ML/Class_MyLinearRegression.ipynb).
 
-See my articles on Medium on this topic.
-
-* [Object-oriented programming for data scientists: Build your ML estimator](https://towardsdatascience.com/object-oriented-programming-for-data-scientists-build-your-ml-estimator-7da416751f64)
-* [How a simple mix of object-oriented programming can sharpen your deep learning prototype](https://towardsdatascience.com/how-a-simple-mix-of-object-oriented-programming-can-sharpen-your-deep-learning-prototype-19893bd969bd)
-
 ---
 ### Unit testing ML code with Pytest
 Check the files and detailed instructions in the [Pytest](https://github.com/tirthajyoti/Machine-Learning-with-Python/tree/master/Pytest) directory to understand how one should write unit testing code/module for machine learning models