Machine Learning for High Energy Physics.

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Short Course - Applied Machine Learning for Risk Management

Reinforcement Learning examples implementation and explanation

Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

Four-in-one deep network: image search, image captioning, similar words and similar images using a single model

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

Various material around private machine learning, some associated with blog

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

Notebooks and other materials for Reading and Writing Electronic Text

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Microsoft Graph Security API applications and services.

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

Machine learning lessons and teaching projects designed for engineers

How to Win a Data Science Competition: Learn from Top Kagglers

Four Courses Specialization Tensorflow in practise Specialization