Mathusuthan Kannan's repositories

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accademico

Code and Notes for University Courses

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clean-code-ml

:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT

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cookiecutter-ds-template

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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course-gitbook

Full Stack Deep Learning Course

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coursera-ds-algorithms

Codes and notes from UCSD's Data Structures and Algorithms Specialization on Coursera

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Coursera_Reinforcement_Learning

Coursera Reinforcement Learning Specialization by by University of Alberta & Alberta Machine Intelligence Institute

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d33p

Deep Learning Blog

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deepLearningBook-Notes

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

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DL_Topics

List of DL Topics and resources essential for cracking interviews

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DMLAlgos

Data Mining and Machine Learning Algorithms from Scratch

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ECMAScripting

ES2015 Tutorials & Projects

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EDA

Examples in Exploratory Data Analysis

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grokking-system-design

Thanks to lirenTu@scale

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house_prices_prediction

An end-to-end demo of a regression model for predicting house prices

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instance_level_recognition

The 2nd place solution to the 2020 edition of the Google Landmark Recognition competition

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just-blog

Contents for my site https://mathusuthan.com

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keras-idiomatic-programmer

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

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lessons

📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!

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MLApps

ML / AI apps built using Streamlit

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recsys2019

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

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Reinforcement-Learning-Specialization

[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"

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seai

CMU 17-445/645: Software Engineering for AI-Enabled Systems

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streamlit-launchpad

Browse a folder containing multiple streamlit apps and launch them immediately

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