siddharth-singh01 Goto Github PK
Name: Siddharth Singh
Type: User
Name: Siddharth Singh
Type: User
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
Repo for Applied Text Mining in Python (coursera) by University of Michigan
applied text mining in python (coursera course)
Repo for 5th place solution for WNS Hackathon on AnalyticsVidhya
A curated list of awesome computer vision resources
:memo: An awesome Data Science repository to learn and apply for real world problems.
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
Repo for code used in top 10% solution
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
How to Win a Data Science Competition: Learn from Top Kagglers
The 3rd edition of course.fast.ai
Repository for coursera specialization Applied Data Science with Python by University of Michigan
cuDF - GPU DataFrame Library
Cheat Sheets
Goal of this repo is to provide solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
TensorFlow documentation
Compilation of resources and insights that helped me on my journey to data scientist
Repo for 97th place solution for DSB on Kaggle
https://www.kaggle.com/c/data-science-bowl-2019
Implementation of EfficientNet model. Keras.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
This repository contains the winning solution of Ericsson Machine Learning Hackathon.
The fastai deep learning library, plus lessons and tutorials
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.