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Added free courses with their link for machine learning and data science.

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Added free courses for data science and machine learning with correct alphabetical order.

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Added free course for machine learning in alphabetical order.

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* [Advanced Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/advanceddataminingwithweka/) * [Advanced Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/advanceddataminingwithweka/)
* [Data Analysis and Visualization](https://www.udacity.com/course/data-analysis-and-visualization--ud404) - Georgia Tech (Udacity) * [Data Analysis and Visualization](https://www.udacity.com/course/data-analysis-and-visualization--ud404) - Georgia Tech (Udacity)
* [Data Analysis with Python: Zero to Pandas](https://jovian.ai/learn/data-analysis-with-python-zero-to-pandas) (Jovian)
* [Data Analysis with R](https://www.udacity.com/course/data-analysis-with-r--ud651) - Facebook (Udacity) * [Data Analysis with R](https://www.udacity.com/course/data-analysis-with-r--ud651) - Facebook (Udacity)
* [Data Cleaning by Rachael Tatman at Kaggle](https://www.kaggle.com/learn/data-cleaning) * [Data Cleaning by Rachael Tatman at Kaggle](https://www.kaggle.com/learn/data-cleaning)
* [Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/) * [Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/)
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* [Deep Learning for Natural Language Processing](http://cs224d.stanford.edu) * [Deep Learning for Natural Language Processing](http://cs224d.stanford.edu)
* [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) (coursera) * [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) (coursera)
* [Deep Learning with PyTorch](https://www.youtube.com/playlist?list=PLWKjhJtqVAbm3T2Eq1_KgloC7ogdXxdRa) - Aakash N. S., freeCodeCamp.org (YouTube) * [Deep Learning with PyTorch](https://www.youtube.com/playlist?list=PLWKjhJtqVAbm3T2Eq1_KgloC7ogdXxdRa) - Aakash N. S., freeCodeCamp.org (YouTube)
* [Deep Learning with Pytorch: Zero tp GANs](https://jovian.ai/learn/deep-learning-with-pytorch-zero-to-gans) (Jovian)
* [Deep Multi-Task and Meta Learning](https://cs330.stanford.edu) - Chelsea Finn (Stanford University) * [Deep Multi-Task and Meta Learning](https://cs330.stanford.edu) - Chelsea Finn (Stanford University)
* [Deep Reinforcement Learning](http://rail.eecs.berkeley.edu/deeprlcourse/) - Sergey Levine * [Deep Reinforcement Learning](http://rail.eecs.berkeley.edu/deeprlcourse/) - Sergey Levine
* [Exploring Fairness in Machine Learning for International Development](https://ocw.mit.edu/resources/res-ec-001-exploring-fairness-in-machine-learning-for-international-development-spring-2020) - Dr. Richard Fletcher, Prof. Daniel Frey, Dr. Mike Teodorescu, Amit Gandhi, Audace Nakeshimana (MIT OpenCourseWare) * [Exploring Fairness in Machine Learning for International Development](https://ocw.mit.edu/resources/res-ec-001-exploring-fairness-in-machine-learning-for-international-development-spring-2020) - Dr. Richard Fletcher, Prof. Daniel Frey, Dr. Mike Teodorescu, Amit Gandhi, Audace Nakeshimana (MIT OpenCourseWare)
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* [Machine Learning Tutorial Python \| Machine Learning For Beginners](https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw) - Dhaval Patel * [Machine Learning Tutorial Python \| Machine Learning For Beginners](https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw) - Dhaval Patel
* [Machine Learning with Python - Youtube Playlist](https://www.youtube.com/playlist?list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe) - Krish Naik (YouTube) * [Machine Learning with Python - Youtube Playlist](https://www.youtube.com/playlist?list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe) - Krish Naik (YouTube)
* [Machine Learning with Python by Saeed Aghabozorgi](https://cognitiveclass.ai/courses/machine-learning-with-python) (cognitiveclass.ai) * [Machine Learning with Python by Saeed Aghabozorgi](https://cognitiveclass.ai/courses/machine-learning-with-python) (cognitiveclass.ai)
* [Machine Learning with Python: Zero to GBMs](https://jovian.ai/learn/machine-learning-with-python-zero-to-gbms) (Jovian)
* [Mathematics for Machine Learning - Linear Algebra](https://www.youtube.com/playlist?list=PLiiljHvN6z1_o1ztXTKWPrShrMrBLo5P3) - Imperial College London, Dr David Dye, Dr Sam Cooper * [Mathematics for Machine Learning - Linear Algebra](https://www.youtube.com/playlist?list=PLiiljHvN6z1_o1ztXTKWPrShrMrBLo5P3) - Imperial College London, Dr David Dye, Dr Sam Cooper
* [Mathematics for Machine Learning - Multivariate Calclus](https://www.youtube.com/playlist?list=PLiiljHvN6z193BBzS0Ln8NnqQmzimTW23) - Imperial College London, Dr David Dye, Dr Sam Cooper * [Mathematics for Machine Learning - Multivariate Calclus](https://www.youtube.com/playlist?list=PLiiljHvN6z193BBzS0Ln8NnqQmzimTW23) - Imperial College London, Dr David Dye, Dr Sam Cooper
* [Pattern Recognition and Machine Learning](https://www.microsoft.com/en-us/research/people/cmbishop/#!prml-book) * [Pattern Recognition and Machine Learning](https://www.microsoft.com/en-us/research/people/cmbishop/#!prml-book)