sahanasub Goto Github PK

3d-object-detection-for-autonomous-vehicles

Project on 3D Object Detection using Lyft's level5 dataset. Obtained mAP of 0.045 on the private leader board on kaggle and ranked in the top 20% among all teams participated in the competition.

analysis-of-nyc-parking-violations-using-pyspark

Project on analysis of ~10 million rows parking violations in NYC to explore the factors that might help prevent getting ticketed in NYC | The data was obtained from NYC Open Data and implemented in PySpark on DataBricks platform

cs231n.github.io

Public facing notes page

data-science-coursera

Programming practice from Coursera

data-science-mini-projects

A repository for various mini-projects as a part of my curriculum or personal interest | Includes data visualization, market segmentation, author attribution, portfolio modeling and association rule mining

data-science-projects

engagement-and-stock-price-analysis-of-ceos-on-twitter

Project on engagement and stock price analysis of CEOs on Twitter. Extracted the data from Twitter API and Yahoo Finance and implemented sentiment analyzer, topic modeling (LDA), stock price regression and engagement analysis to determine the factors that make a CEO influential

google-play-store-analysis-and-app-popularity-prediction

Project on google play store app analysis (sizing and pricing strategy) | Bigram analysis of user reviews to discern patterns in user behavior and attributes of good/bad apps | Popularity prediction (install count) using random forest, decision trees and logistic regression

implicit-recommendation-engine-for-meetup.com

Project on building implicit recommendation systems for Meetup | Built memory-based and model-based collaborative filtering (ALS and Logistic matrix factorization) recommendation engines using implicit feedback signals like RSVP count and timedelta | Data related to groups, events, members and RSVP extracted from Meetup API

interpret_ml

Fit interpretable machine learning models. Explain blackbox machine learning.

msba-capstone-2020

sta380

STA 380: Predictive Modeling

tensorflow-lifetime-value

Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.

text-analytics-projects

A repository for projects related to text mining and natural language processing (NLP)

track-human-footprint-in-amazon-using-deep-learning

Project on multi-label classification of satellite images of Amazon rain forest using Deep Learning | Implemented deep CNN architectures along with haze removal techniques to achieve a F2 score of 0.9257 (top 20% of the Kaggle competition leaderboard)