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This Repo Contains all the exercise files for Data Science Course of 365 Datascience . The repo is split into the relevant folders & there is one exercise folder which contains all the files of that course. Don't forget to star it :D
Papers on Computational Advertising
Agricultural Supply Chain Dapp With Micro-Finance
A python chatbot framework with Natural Language Understanding and Artificial Intelligence.
Artificial Intelligence Nanodegree - Recurrent Neural Networks
Jupiter project to learn create neural networks in KERAS
Allstate Kaggle Competition ML Capstone Project
Track prices on Amazon and receive email alerts for price drops
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Anomaly detection algorithm implementation in Python
Learning hyperparameters for unsupervised anomaly detection
Apache Spark 2 for Beginners, published by Packt
This project aims to segment Artsy's customer base into meaningful groups using clustering techniques and evaluate the effectiveness of an email promo campaign by A/B Test.
Autonomous RC car using Raspberry Pi and ANN
Autonomous Robot Navigation using Tensorflow Incpetion V3 Image Recognition Engine and Robot Operating System (ROS)
Avito Demand Prediction Challenge :department_store:
3rd place solution for the Avito Context contest on kaggle.com
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
Reinforcement learning resources curated
Python library for Multi-Armed Bandits
Code for my book on Multi-Armed Bandit Algorithms
An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Python / tensorflow reinforcement learning example -- battleship
Bayesian Optimization using xgboost and sklearn API
Bayesian AB Tests Examples
An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"
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.