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ab_testing

This repositories contain experiments which were designed to gain a better understanding of A/B testing and analyzing results.

azurewebapp

covid-19-hackathon-twitter-sentiment-analysis

The repository contains the Winning Submission for the online Hackathon at University of Washington, Seattle.

customer_churn_prediction

Explored models such as Logistic Regression (SMOTE), SVM, RandomForest & XGBoost to assess customers’ propensity or risk to churn for a telecom. Performed In-depth EDA & data preprocessing in Python.

data_engineering_airflow

deep-learning

This contains projects which are a part of the Deep Learning Specialization on Coursera taught by Andrew Ng.

disaster_response_pipeline

A disaster relief web app using Flask to classify disaster related messages to alert concerned authorities. Built ELT & ML pipeline to perform multi-class text classification.

githubgraduation-2021

Join the GitHub Graduation Yearbook and "walk the stage" on June 5.

ibm_recommendation_engine

A recommendation engine based on user behavior and social network data, to surface content most likely to be relevant to a user on IBM Watson Studio Platform. Used collaborative filtering & matrix factorization techniques.

java-data-structure-algorirthms

machine-learning-projects

Contains machine learning mini-projects in Python & R

machine_learning_microservice_api

Deployed an elastic and fault-tolerant Machine Learning Price Prediction API using Kubernetes.

marketowl

Tool for Portfolio Managers to track market, industry sentiment and credibility trends for S&P 500 companies

mobile_game_ab_testing

Analyzed A/B test where we moved the first gate in Cookie Cats from level 30 to level 40 to provide statistical & practical significance w.r.t player retention.

music_streaming_app_spark_analytics

Used Apache Spark to perform analytics on music streaming app data to predict customer churn.

natural-language-processing

Contains mini-projects on NLP in Python & R.

nl_parser_using_spacy

NLP parser using NER and TDD

oop-python

Covers fundamentals of OOP using Python. Includes code snippets of classes, inheritance, and polymorphism

orientation-project-hyo

profitable-sequential-recommendation-using-market-basket-analysis

Developed Product Basked Network using Market Basket Analysis to recommend a profitable promotion campaign for each market segment.

public-perception-of-covid-19

sarjom

Welcome to the code repository for CitSci Earth

text_classification_us_presidential_nominees_2020

Supervised and semi-supervised text classification of quotes from Democratic Presidential Nominee for US 2020. Used Regularized Logistic Regression, XGBoost, Random Forest

udacity-dsnd

Udacity Data Science Nanodegree Program

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