└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Learning Path with courses link 2 | ## All courses are going to be free 3 | ## Pre-Req coursrs 4 | ### Maths 5 | #### Linear Algebra and Calculus 6 | * https://www.coursera.org/specializations/mathematics-machine-learning (Free to Audit) 7 | * https://www.khanacademy.org/math/linear-algebra 8 | * https://www.khanacademy.org/math/differential-calculus 9 | 10 | #### Probability and Stats 11 | * https://www.khanacademy.org/math/statistics-probability 12 | * https://www.udacity.com/course/statistics--st095 13 | 14 | ### Programming 15 | #### Python 16 | * https://www.coursera.org/specializations/python? (Free to Audit) 17 | * https://www.udemy.com/course/complete-python-bootcamp/ (Paid but worth buying) 18 | * https://www.datacamp.com/ (Free subscription available through github student developer pack) 19 | * https://www.youtube.com/playlist?list=PLQVvvaa0QuDeAams7fkdcwOGBpGdHpXln 20 | #### Books for Python 21 | * [Learn Python 3 the Hard way](https://www.amazon.com/Learn-Python-Hard-Way-Introduction/dp/0134692888) 22 | * [Python Crash Course](https://nostarch.com/pythoncrashcourse2e) 23 | * [Fluent Python](https://www.amazon.com/Fluent-Python-Concise-Effective-Programming/dp/1491946008) 24 | 25 | ### Data Analysis and visulization 26 | * [Python for Data Analysis](https://www.udemy.com/course/learning-python-for-data-analysis-and-visualization/) (not free worth buying) 27 | * [Data Analysis with Python IBM](https://www.coursera.org/learn/data-analysis-with-python) (Free to Audit) 28 | * [Python for Research by HarvardX](https://www.edx.org/course/using-python-for-research) (Free to Audit) 29 | #### Books for Data Analysis and Visulization 30 | * [Python for Data Analysis](http://shop.oreilly.com/product/0636920023784.do) (By Creater of Pandas Library) 31 | * [Python Data Science HandBook](https://www.amazon.com/Python-Data-Science-Handbook-Essential/dp/1491912057) 32 | 33 | ## Machine Learning (in order) 34 | 1. [Machine Learning Coursera](https://www.coursera.org/learn/machine-learning) 35 | 2. [Deep Learning Specilzation](https://www.coursera.org/specializations/deep-learning?) (Free to Audit) 36 | 3. [CS 224 Natural Language Processing by Stanford](http://web.stanford.edu/class/cs224n/) 37 | 4. [CS 231 Conv Neural Networks](http://cs231n.stanford.edu/) 38 | 5. [CS 232 Digital Image Processing](https://web.stanford.edu/class/ee368/) 39 | 6. [CS 234 Reinforcment Learning](http://web.stanford.edu/class/cs234/index.html) 40 | #### TensorFlow 41 | 1. [TensorFlow in Practice](https://www.coursera.org/specializations/tensorflow-in-practice) (By deeplearning.ai free to audit) 42 | 2. [Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization](https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp) (Free to Audit) 43 | 3. [Complete Guide to Tensorflow for deeplearning](https://www.udemy.com/course/complete-guide-to-tensorflow-for-deep-learning-with-python/) (Worth Buying) 44 | #### PyTorch 45 | 1. [Intro to Deep Learning with PyTorch](https://www.udacity.com/course/deep-learning-pytorch--ud188) 46 | 2. [PyTorch DataCamp](https://www.datacamp.com/courses/deep-learning-with-pytorch?tap_a=5644-dce66f&tap_s=463826-784532) (free via Github Student Pack) 47 | 3. [PyTorch for DeepLearning BootCamp](https://www.udemy.com/course/pytorch-for-deep-learning-with-python-bootcamp/) (Worth buying) 48 | 49 | ### DeepLearning Books 50 | ##### If you want to learn Deep Learning from scratch with less maths 51 | 1) [Grokking Deep Learning](https://www.manning.com/books/grokking-deep-learning) (well explained concepts with good figures) 52 | 2) [Make your own Neural Network](https://www.amazon.com/Make-Your-Own-Neural-Network-ebook/dp/B01EER4Z4G) (A book by an author which most people do not know but trust me this is one of the best book on Neural Networks) 53 | ##### Other Deep Learning Books 54 | 1) [Deep Learning Book](https://www.deeplearningbook.org/) 55 | 2) [Deep learning with Python](https://www.manning.com/books/deep-learning-with-python) 56 | 3) [Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646) 57 | 58 | --------------------------------------------------------------------------------