Tanay Shankar's Projects
Using L1 penalized logistic regression to classify the activities of humans based on time series obtained by a Wireless Sensor Network.
Perform Active, Passive Learning and Monte Carlo Simulation on Bank Note Classification problem
Smart Brand discovery
Perform Unsupervised, Semi Supervised and Supervised Classification on Blood Transfusion Dataset using SVM to predict donors
Knowledge graph of college events happening in and around Los Angeles
A Machine Learning Classification web service written in Python, a Django app on Heroku
Image colorization from grayscale image to a colored image using Convolutional neural network
USA Crime prediction implementing Principal Component Analysis, Boosting, LASSO and Ridge Regression
A collection of D3 js Charts and Maps using angular and static json data.
Recognition of Handwritten Digits using K-Nearest-Neighbors classifier
Analysis of your personal gmail data
Simple email bot
Learning to track eye movement in the browser
An eye-blink detection-based face liveness detection algorithm to thwart photo attacks.
Group images with detected faces doing minimum comparisons and flag faces with not enough similarity for feedback.
The fastai deep learning library, plus lessons and tutorials
Federated Learning - PyTorch
Generate text in an Author's writing style by training an LSTM Network
A Django 2.0 base template featuring all recommended best practices for deployment on Heroku and local development.
CapitalOne DevOps Dashboard
Information extraction in Python using Conditional Random Fields to segment/chunk the course description of UCLA dataset by adding markup tag to indicate the type of chunk.
Everything you need to prepare for your technical interview
Build a Jekyll blog in minutes, without touching the command line.
A booklet on machine learning systems design with exercises