MLRC

Code made for the Machine Learning Community's tracks.

If you missed one of our lectures and want to catch up with other students, you have to finish the video lectures in the following table before attending the next lecture.

Week	Compensation Materials
1	Chapter1 :: Hands on Machine Learning with Scikit-learn and Tensorflow Week 3 videos from this course https://www.coursera.org/learn/ml-clustering-and-retrieval SL1 and SL2 videos from this course https://www.udacity.com/course/machine-learning--ud262 Chapters 1,2,3,4 from this repo https://github.com/jvns/pandas-cookbook/tree/v0.2/cookbook Reproduce this code https://www.kaggle.com/moghazy/week-1
2	Chapter 3 Section Performance Measures :: Hands on Machine Learning with Scikit-learn and Tensorflow Weeks 1, 2 and 3 videos from this course https://www.coursera.org/learn/neural-networks-deep-learning SL1 and SL2 videos from this course https://www.udacity.com/course/machine-learning--ud262 Try to reproduce the code from this kernel https://www.kaggle.com/moghazy/intro-to-dnns-with-data-augmentation-python
3	TBA