JeyMan's starred repositories
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
30-Days-of-Code
👨💻 30 Days of Code by HackerRank Solutions in C, C++, C#, F#, Go, Java, JavaScript, Python, Ruby, Swift & TypeScript. PRs Welcome! 😄
courses-introduction-to-python
Introduction to Python by Filip Schouwenaars
Python4Finance
I get many questions about how to analyze the Stock Market with Python. I am creating a new playlist of videos that will completely cover Python for Finance.
DataCamp_-_Track_-_Data_Scientist_with_R_-_Course_02_-_Intermediate_R
Repository of DataCamp's "Intermediate R" course.
courses-intro-to-r-beta
Reworked introduction to R course hosted on DataCamp
big-mac-data
Data and methodology for the Big Mac index
companies-using-r
A Curated list of R uses in entreprise
HackerRank_solutions
317 efficient solutions to HackerRank problems
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
awesome-google-colab
Google Colaboratory Notebooks and Repositories (by @firmai)
Use-Cases-Data-Science
A list of working examples of Data Science Use Cases and Applications by Industry
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Data-science-best-resources
Carefully curated resource links for data science in one place
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.