Hemachandar Nagarajan's repositories
Harvard-Business-Case-Study-on-Ship-Valuation
Predicted the price of a ship using Multiple Linear Regression
Job-Aggregator
A dataset built out of job APIs and Web scraping job listings from various Job Boards and Aggregators and Staffing firms.
Text-Analysis-on-Harry-Potter-Scripts
Implemented data quilting by applying text mining, sentiment analysis and social network analysis.
Time-Series-Analysis-of-Superstore-Sales-Data
Perform EDA and build a forecast model using the Superstore Sales data.
Building-a-Simple-Chatbot-in-Python-using-NLTK
Building a Simple Chatbot from Scratch in Python (using NLTK)
Credit-Card-Fraud-Detection
Classification of anonymized credit card transactions labeled as fraudulent or genuine
HemachandarN.github.io
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
KPMG-Virtual-Internship
This repository contains the solution to the Data Analytics tasks given for the completion of KPMG's Virtual Internship.
Recommender-System-using-the-Apriori-algorithm
Market Basket Analysis is a type of frequent item sets mining which analyzes customer buying habits by finding associations between the different items that customers place in their “shopping baskets”.
Richters-Predictor-Modeling-Earthquake-Damage
Based on aspects of building location and construction, a prediction model is developed to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal.
Screening-Tool-Chronic-Kidney-Disease
Built a logit prediction model that predicts CKD. Selected and validated significant factors by using PCA, Random Forest and Lasso Regression and by consulting with physicians. Designed an easy-to-use survey by capturing the above factors and used correlation to provide a risk score that predicts likelihood of getting CKD.
Women-s-E-Commerce-Clothing-Reviews
Analyzing Customer reviews using Text Mining to classify whether they will recommend a product or not.
Yelp-Dataset
This dataset is a subset of Yelp's businesses, reviews, and user data. It was originally put together for the Yelp Dataset Challenge to conduct research or analysis on Yelp's data and share their discoveries. In the dataset you'll find information about businesses across 11 metropolitan areas in four countries.