Code

Please see my pinned repositories and commit history on Github for my latest activity. This page will not be maintained actively. Last updated 2017.

Deep Learning

• I experimented with Deep Learning in Natural Language Processing for Sentiment Analysis. Check out my repo where I experimented with RNNs and CNNs both character based and word based models.
• Kaggle kernel: Daily News for Stock Market Prediction I have tried LSTMs for this (classification) prediction task. Check this.
• Some other data processing and models (mainly in Vision) using Keras (and Python) here.

Big Data and Parallel Programming

• This repo contains the implementation of Logistic Regression and Movie Recommendation System using PySpark.
• Some basic data processing using Spark in Scala.

Machine Learning

• Random Forest implementation in R and Python
• Basic Data Wrangling scripts.

Deep Learning Readings

I am also compiling the list of Deep Learning readings and blogs that I find very helpful.

• Understanding LSTM
• The Unreasonable Effectiveness of Recurrent Neural Networks
• BPTT video lecture by Prof. Ali Ghodsi