Milena's repositories
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Data-Science--Cheat-Sheet
Cheat Sheets
Data-Science-Tutorials
Data Science Tutorials
datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
indian-air-quality
This repository contains Python code for analysing Indian Air Quality dataset taken from Kaggle
IntroToHadoopAndMR__Udacity_Course
:elephant: Source code for assignments of Udacity course "Introduction to Hadoop and MapReduce"
Learn-Pandas
Tutorials on how to use pandas effectively to do data analysis
Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Math-for-Data-Science
Math for Data Science
Practical_RL
A course in reinforcement learning in the wild
practicalAI
📚 A practical approach to learning and using machine learning.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
stanford-cs231
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Data-Science-Free
Free Resources For Data Science created by Shubham Kumar
PDSwR2
Code, Data, and Examples for Practical Data Science with R 2nd edition (Nina Zumel and John Mount) https://github.com/WinVector/PDSwR2