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amsterdam-airbnb-

Explored Airbnb listings data for Amsterdam – city with restrictions on Airbnb rentals to control tourist influx; Identified potential illegal listings and developed models to determine factors driving listing’s rent

beer-recommendation-system

Scraped beer reviews from BeerAdvocate website; leveraged NLP, sentiment analysis, Cosine and SpaCy similarity to recommend beer to users based on 3 input attributes

dash-by-plotly

Interactive data analytics

fashion-brands-social-media-engagement-

Conducted NLP, Image Analytics and LDA topic modelling analyses to identify top social media engagement drivers for Zara and H&M; built classification model to predict whether next Instagram post of Zara, H&M would have high engagement

hitchhikers-guide-machine-learning

Guide explaining and implementing fundamental machine learning algorithms in Python

natural-language-processing-with-python-analyzing-text-with-the-natural-language-toolkit

My solutions to selected exercises to "Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit" by Steven Bird, Ewan Klein, and Edward Loper.

nlp_final_project

panoptic-segmentation

pipeline-and-simualtion-practice

Basic classification dataset has been used from Kaggle to perform pre-processing, modeling and cross validation via pipelines.

sta-380-intro-to-ml-exercises-2

This repository contains the Exercises for Part 2 our Intro to Machine Learning course.

sta380

STA 380: Predictive Modeling

test_dash

titanic-survival

• Developed 5+ machine learning models and compared accuracy in predicting a passenger’s survival based on demographic, geographic features; obtained highest prediction accuracy of ~85% using decision trees

upsnet

UPSNet: A Unified Panoptic Segmentation Network