Quiz & Assignment of Coursera

📢 Ready to learn or review your knowledge!

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Collection of useful data science topics along with code and articles

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Stock for Deep Learning and Machine Learning

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

🛠 All-in-one web-based IDE specialized for machine learning and data science.

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Visualizer for pandas data structures

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

open source for wechat-official-account (ID: PyDataLab)

A Python library for easy data analysis, visualization, exploration and modeling

A Portfolio of my Data Science Projects

Resources for weekly Data Science Lunch & Learns

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017