vsistla

2015

Public material for CS109

207-Applied-Machine-Learning

Materials for UC Berkeley School of Information course Applied Machine Learning

207-Applied-Machine-Learning-Projects

207_ML_StudyGroup_Summer2019

Resource for MIDS Summer 2019 Machine Learning study group.

ABTesting_MAB_EpsilonGreedy

This repo go over basics of AB Testing followed by a quick test drive of basics of AB Testing followed by Multi Arm Bandit overview and a demo of EpsilonGreedy Algorithm for AB Testing

codefordemocracy

Code Repo For Code For Democracy

contra-text-entailments

gpu-training

This repo has few of the gpu training demos

nlp-biases

This repo is created to show case some of the NLP biases in data and algorithms

w210-capstone-energyloadpredictor

vsistla/ABTesting_MAB_EpsilonGreedy

This repo go over basics of AB Testing followed by a quick test drive of basics of AB Testing followed by Multi Arm Bandit overview and a demo of EpsilonGreedy Algorithm for AB Testing

vsistla/w210-capstone-energyloadpredictor

vsistla/207_ML_StudyGroup_Summer2019

Resource for MIDS Summer 2019 Machine Learning study group.

vsistla/codefordemocracy

Code Repo For Code For Democracy

vsistla/contra-text-entailments

vsistla/gpu-training

This repo has few of the gpu training demos

vsistla/nlp-biases

This repo is created to show case some of the NLP biases in data and algorithms

vsistla/ciml

A Course in Machine Learning

vsistla/coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

vsistla/deepLearningBook-Notes

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

vsistla/flask-hello-world

vsistla/forecasting-airline-delays

Predict departure delay/no delay, where a delay is defined as 15-minute delay (or greater) with respect to the planned time of departure. This prediction should be done two hours ahead of departure (thereby giving airlines and airports time to regroup and passengers a heads up on a delay).

vsistla/IST-652-Scripting-for-Data-Analysis-SU-19

Syracuse University School of Information course on Python programming for data analysis.

vsistla/KaggleForestCoverTypePrediction

This is Kaggle Competition for Forest Cover Type Prediction

vsistla/machine-learning-systems-design

A booklet on machine learning systems design with exercises

vsistla/markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

vsistla/materials

Bonus materials, exercises, and example projects for our Python tutorials

vsistla/ml-model-on-docker-on-gcp

short demo running ML model in docker cluster using gcp

vsistla/ML-NLP-Interpretability-explainability

Community for reading, prototyping and researching papers that address interpretability and explainability

vsistla/MS-in-Data-Science

Syllabus & reference material

vsistla/nlp-recipes

Natural Language Processing Best Practices & Examples

vsistla/p230

vsistla/Parallel-Click-Through-Rate-Predictor

MapReduce paradigm and feature engineering to train and test a logistic regression model on 46 million rows and 33 million unique categories.

vsistla/python-is-cool

Cool Python features for machine learning that I used to be too afraid to use

vsistla/python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

vsistla/stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

vsistla/streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

vsistla/streamlit-test

streamlit testing

vsistla/ucb_w205_crook_supplement

UC Berkeley, W205 Data Engineering, 2018 Spring, Kevin Crook's supplement

vsistla/w203-fall-19.github.io

course website