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
PolyBase-SQLServer-AzureBlobStorage
Using PolyBase to query Azure Blobs from SQL Server
PythonFlaskWebApp-DownloadSQLDataAsCSV
A Simple web app to download a dataset as CSV built with Python 3 using Flask and Jinja
abot
C# web crawler built for speed and flexibility. Please star this project! +1
atlas-v2
Apache Atlas v2 Rest API
azure-sql-db-python-rest-api
REST API using Python, Flask and Azure SQL
AzureFunctionUploadToSQL
Azure function to upload a CSV file to Azure SQL automatically via Azure Blob Store
CheatSheets
Repository of various cheat sheets found in the Internet
mongodb-python-flask-rest-api
A simple CRUD REST API built using Python Flask and MongoDB Atlas with Azure SQL as a data source
pysprak-SQLtoCSVtoParquet-Azure
A PySpark script to load data from SQL/NoSQL Dbs to a CSV, perform ETL and clean up and finally load into Azure Data Lake Gen2/HDFS
customer-behavior-analytics-IBMWatson
Customer Behavior Analytics using Python
DatabricksDEBoilerplate
Boilerplate stuff for Data Engineering in Azure Databricks
devportfolio
A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass
dice-rolling-simulator
This is a simple dice rolling simulator built in Pyton 3
leetcode-and-hackerrank-sql
Solutions to some hard problems on Leetcode and HackerRank
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
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.