rahulraghatate Goto Github PK
Name: Rahul Vijay Raghatate
Type: User
Company: BMW GROUP (CGF-LLC)
Bio: Data Scientist
Location: USA
Name: Rahul Vijay Raghatate
Type: User
Company: BMW GROUP (CGF-LLC)
Bio: Data Scientist
Location: USA
To boost the income through ad clicks, it is imperative to understand the significance of the factors affecting ad clicks. After mining through data logs provided by Outbrain,we formulated new learning problem in content ranking based on past clickthrough data to predict which pieces of content (ads) likely to be clicked by global users automatically.We used classification models like Naive Bayes, SVM, Random Forest and Stochastic Gradient Descent algorithms for learning parameterized orderings.
Code and associated files for the AI Programming with Python Nanodegree Program
A selection of state-of-the-art research materials on trajectory prediction
All class material
Coding challenge
CuLE: A CUDA port of the Atari Learning Environment (ALE)
A curated list of data science blogs
Course: Deep Learning
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
A TensorFlow implementation of Baidu's DeepSpeech architecture
Data Modeling and Analysis Project in SAS
"Buying a house is a stressful thing." We built a model to predict the prices of residential homes in Ames, Iowa, using advanced regression techniques. This model will provide buyers with a rough estimate of what the houses are actually worth. We first analyzed the data to find trends. Then dimensionality reduction was performed on the dataset using PCA algorithm and feature selection module in sklearn package for python 3.5. The final house prices are predicted using linear regression models like Ridge and Lasso. We also utilised advanced regression techniques like gradient boosting using XGBoost library in python 3.5.
Job_Portal/HR analytics based on job_titles for exploring major Job Functions, Categories, Levels and utilize the results to improvise job portal granularity and outreach.
Exploratory Data Analysis carried out as part of academic project for STAT-S670 (EDA) course. Project includes data engineering, feature selection using carat package, Random Forest, Correlation test, etc. , default rate analysis and interest rate automation modeling using linear regression and many more.
ML Algorithms from scratch
A small Roguelike game that uses Machine Learning to power its entities. Originally used in talks by Ciro & Alessia.
The simplest Unity ML Agents scenario I could think of
Implementation of TRPO and related algorithms
Repository containing monthly challenges in the field of quantum computing.
PPOL is a crowd simulator based on Unity's ML Agents and using PPO Reinforcement Learning Algorithm
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Code files for Python-Machine-Learning-Cookbook
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.