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Answers to 120 commonly asked data science interview questions.
this is angular2 authentication app
Content for Applied ML Workshop @ DataHack Summit 2019
OpenCV Python Neural Network Autonomous RC Car
This is AWS Bootcamp to create Cruddur application
BERT-related papers
Source code of the companion book/website
Implementation of simple bug prediction hotspot heuristic
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
My work-through of the Jupyter notebook for the Udacity Self-Driving Car Nanodegree program Project 2 - Traffic Sign Classifier
Pluggable type-checking for Java
Published in The Proceedings of MSR 18
Scalable fuzzing infrastructure.
This repo will contain replication package for the paper "Feeding Trees to Transformers for Code Completion"
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Datasets, tools, and benchmarks for representation learning of code.
Lectures for Udemy - Complete Python Bootcamp Course
Repo for coursera specialization Advanced Machine Learning by Higher School of Economics
All my completed programming exercises for the Coursera ML course.
Source Code to _The Busy Coder's Guide To Android Development_
General Assembly's 2015 Data Science course in Washington, DC
Cheat Sheets
Data science interview questions with answers. Not ideally (yet)
Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.
DeepCS: Deep Code Search
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)
PyTorch and TensorFlow for deep learning
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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.