Rohit Bathija's repositories
Clustering-Customers-with-k-means
Python code to cluster retail customers using k-means algorithm and RFM (recency, frequency and monetary) principle
PythonFlaskWebApp-DownloadSQLDataAsCSV
A Simple web app to download a dataset as CSV built with Python 3 using Flask and Jinja
atlas-v2
Apache Atlas v2 Rest API
AzureFunctionUploadToSQL
Azure function to upload a CSV file to Azure SQL automatically via Azure Blob Store
customer-behavior-analytics-IBMWatson
Customer Behavior Analytics using Python
dice-rolling-simulator
This is a simple dice rolling simulator built in Pyton 3
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
py-iceberg-etl
A simple setup to demo batch and streaming workloads using PyIceberg
robathija.github.io
My GitHub.io Resume
twitter-sentiment-analysis
R shiny web application to scrape tweets based on user-defined search keyword and perform sentiment analysis of the tweets. Sentiment analysis of tweets consists of classifying tweets into emotion classes (i.e., anger, disgust, fear, joy, sadness and surprise) and also polarity classes (i.e., negative, neutral and positive) using naïve Bayes classifier. The tweets are scraped, classified into sentiment classes and visualized in R using twitteR, sentiment and ggplot2 packages, respectively.