sayantanmitra87 Goto Github PK
Name: Sayantan Mitra, Ph.D.
Type: User
Company: Humana | Baylor College of Medicine
Bio: Senior Data Scientist with a background in experimental design, statistical analysis, EDA, & ML.
Location: Boston
Name: Sayantan Mitra, Ph.D.
Type: User
Company: Humana | Baylor College of Medicine
Bio: Senior Data Scientist with a background in experimental design, statistical analysis, EDA, & ML.
Location: Boston
Contains python codes for different methods of machine learning and explanations of the code
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A wide variety of ML models from binary (cancer) to multi-class (fashion class) classification
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
A minimal example of how to use streamlit on Heroku
Machine Learning interview prep guide
Second Springboard Capstone Project: A Movie Recommender
comparing stand up comedians using natural language processing
Insight project
Predicted the probability of customers subscribing to a fitness app based on a gradient boosting classifier, which was built from 4+ data sources with 27M+ observations (>10GB).
:truck: Agile Data Science Workflows made easy with Pyspark
Portfolio Project for DSR: Modelling Parkinson Disease Progression
Machine Learning model to find the suitable job for soon to be PhDs, based on the 'job_title' and 'job_description' data scraped from indeed website
Tutorials and codebase for PySpark DataFrame and PySpark ML
🐍 Quick reference guide to common patterns & functions in PySpark.
Python tutorial from book named Learn Python the Hard way
Based on the book Data Science from Scratch
Python Data Science Handbook: full text in Jupyter Notebooks
A game theoretic approach to explain the output of any machine learning model.
Predicting the size and cost of solar panel units for residential setting based on power consumption.
VIP cheatsheets for Stanford's CS 229 Machine Learning
TensorFlow Tutorial and Examples for Beginners with Latest APIs
test repo
Time-Series with Pandas, Statsmodels, ACF-PACF, ARMA-ARIMA, SARIMA, SARIMAX, VAR, VARMA, LSTM, Prophet
A fraud prevention system for Peer-to-Peer transaction networks (Jahir M Gutierrez)
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.