LearnDataSci / Articles

model-describer : Making machine learning interpretable to humans

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

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.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Visualizer for pandas data structures

Lending Club Loan data analysis

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

Resources for weekly Data Science Lunch & Learns

A Portfolio of my Data Science Projects

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

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

📢 Ready to learn or review your knowledge!

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

repo for code published on pythondata.com

I will update this repository to learn Machine learning with python with statistics content and materials

General Assembly's 2015 Data Science course in Washington, DC

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.

Introduction to Data Science

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

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