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👋 Hi there! I'm Rahul Agarwal, and I run mlwhiz. That includes the MLWhiz.com, and my Medium account.

Using my blogs, I aim to help those who are new to Machine learning and Data science, those who have taken a self-learning route like myself and those who are even vaguely interested in diving in the beautiful world of Maths and Machine Learning.

I do so by providing structured, method-oriented and simple to follow blogs that don't get lost in technical translation and help the reader understand concepts in a much coherent way.

All of my blogs are completely free on my site and medium account. But you can still support me using Ko-fi:

Buy Me a Coffee at ko-fi.com

🌀 I am currently working with Roku and previously worked with Facebook, Walmart and CitiBank as a Machine Learning Engineer and a Data Scientist.

📫 Reach me at: [email protected] or on Linkedin: https://www.linkedin.com/in/rahulagwl/

Also, Here is my most famous repo where I keep track of the code I write for my blogs: https://github.com/MLWhiz/data_science_blogs

Rahul Agarwal's Projects

2015 icon 2015

Public material for CS109

chatbot icon chatbot

This is a repository for the post : https://mlwhiz.com/blog/2019/04/15/chatbot/

d3-book icon d3-book

Sample code files to accompany the book “Interactive Data Visualization for the Web”

data_science_blogs icon data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

hadoop-mapreduce-tricks icon hadoop-mapreduce-tricks

A code Repository for my blogpost at http://mlwhiz.com/blog/2015/05/09/Hadoop_Mapreduce_Streaming_Tricks_and_Techniques/

just_stack_them_up icon just_stack_them_up

A python implementation to add models using the stacking methodology. Highly influenced by a post from MLWave

kaggle_pbr icon kaggle_pbr

My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

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