jeysudirman

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.

eip

DataCamp

data science, statistics and machine learning

datasets

This repo contains data sets that are required in order to perform the applications and exercises

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

spark-joy

✨😂 2000+ ways to add design flair, user delight, and whimsy to your product.

HackerRank_Python_Solutions

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.

FinML

Financial Machine Learning

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

fashion-ai

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.

lectures

Oxford Deep NLP 2017 course

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.