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Approaching (Almost) Any Machine Learning Problem
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
Day1@Data Scientist Specialization
Bioinformatics data analysis and visualization toolkit
Alternatives to PANDAS: MODIN
We use Python to get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch
Course Files for Complete Python 3 Bootcamp Course on Udemy
Quickly and accurately render even the largest data.
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Fast hierarchical clustering routines for R and Python.
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
Topic Modelling for Humans
Rebooting ggplot2 for scalable big data visualization
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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.
A high performance implementation of HDBSCAN clustering.
Interactive Widgets for the Jupyter Notebook
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Build a Jekyll blog in minutes, without touching the command line.
A Git extension for JupyterLab
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Machine Learning Resources, Practice and Research
Machine Learning Yearning (full pdf)
The interactive graphing library for Python (includes Plotly Express) :sparkles:
The "Python Machine Learning (3rd edition)" book code repository
Lectures on scientific computing with python, as IPython notebooks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.