SAIKAT PANDIT's Projects
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Open Source Social Projects from AITS associates with 💝
A collection of materials to help you learn about deep learning
This is an overview of Data Science
[WIP] Examples for the Intro to ML with Kubeflow book
Repository for the Python meetup tutorial in SF April 2017
Intro To Scikit Learn
Intro to Twt Analysis with Hasan Minhaj's Indian Elections Episode Tweets Analysis
Notebooks and code for the book "Introduction to Machine Learning with Python"
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service
Jupyter metapackage for installation, docs and chat
JupyterLab computational environment.
Deep Learning for humans
Machine Learning Toolkit for Kubernetes
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
Open Content for self-directed learning in data science
Oxford Deep NLP 2017 course
This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube
A lightweight LLVM python binding for writing JIT compilers
Create Rewards Program APIs and deploy on z/OS.
LSTMS for Predictive Maintenance
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
A booklet on machine learning systems design with exercises
Python code for common Machine Learning Algorithms
This is the Curriculum for "Machine Learning Journey" By Siraj Raval on Youtube
Animation engine for explanatory math videos