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This repository chronicles my 100-day Python learning journey, where I'll start from the very basics and work my way up to more advanced concepts. Each day, I'll upload my progress, including Jupyter Notebook files (.ipynb) that contain code, explanations, and exercises.
R package for Kutner et al. 5th ed. Applied Linear Statistical Models
Simplified Keras Impementation for ANN
Deployment project using Flask and heroku app
Cracking the Data Science Interview
10 Weeks, 20 Lessons, Data Science for All!
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Decision Tree using Scikit Learn
In this repository, I upload my Complete Machine Learning code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. I have covered both Supervised and Unsupervised Machine Learning Algorithms with Practical Implementation.
This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included.
Pen and paper exercises in machine learning
Gurobi modeling examples
This repository contains data exploratory that i have done on MySql.
In this repo you will get materials related to NLP
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.