mohammadbakir Goto Github PK
Name: Mohammad Bakir
Type: User
Bio: Data Scientist | ML Engineer
Location: San Francisco Bay Area
Name: Mohammad Bakir
Type: User
Bio: Data Scientist | ML Engineer
Location: San Francisco Bay Area
Answers to 120 commonly asked data science interview questions.
Metis Bootcamp Project 1
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
Big Data Analytics in Health Care: This course introduced big data techniques and tools for analyzing and solving health care problems.
Predicting Bitcoin Price Utilizing NLP and Time Series Analysis
ML model that generates hospitalization probability for COVID-positive patients within 21 days of a positive test result. Part of the COVID-19 EHR DREAM Challenge.
In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.
In this repository, I will publish my notes for GaTech's Reinforcement Learning course CS7642.
Team Project CS7643
Graduate Algorithms
Analyze Customer Business Engagement
Data Science Using Python
Cheat Sheets
Utilizing The Twitter API to Discover Cluster Groups On A Particular Topic
Metis Data Science Bootcamp - Official Prework Repository
Example models to submit to the EHR DREAM Challenges
Example deep learning projects that use wandb's features.
A face recognition demo performed by feeding images of faces recorded by a webcam into a trained FaceNet network to determine the identity of the face
Implement FaceNet and DeepFace models
Facial Recognition For Access Entry - Must be Smiling to Enter
Identifying Fake vs Real News Using NLP
The Open Source Data Science Masters
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Happiness inside a job: A social netowork analysis
Utilizing simulated HR data from kaggle to build a classifier that helps predict what kind of employees will be more likely to leave given some attributes
A curated list of applied machine learning and data science notebooks and libraries across different industries.
A collection of various notebook extensions for Jupyter
Georgia Tech - OMSCS - CS7641 - Machine Learning Repository
Machine learning cheatsheet
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.