Python, Pandas, Seaborn

PROJECT INCLUDES DATA COLLECTION, CLEANING AND EXPLORATORY DATA ANALYSIS TO UNDERSTAND THE INSIGHTS. THE MAJOR PART OF THE PROJECT WAS BUILDING A MODEL FOR PREDICTING REAL ESTATE PRICES BASED ON ATTRIBUTE

https://github.com/shabeeb248/Chennai-house-price-predic

Logistic Regression, Matplotlib, Python

COLLECTED HOTEL REVIEWS, CLEANED THE DATA AND VISUALISED IT USING PLOTLY. MADE A LOGISTIC REGRESSION MODEL, FOR CLASSIFYING HOTEL REVIEWS INTO POSITIVE OR NEGATIVE. TRAIN THE MODEL AND TESTED WITH AVAILABLE TESTING DATA.

https://github.com/shabeeb248/NLPHotel-review-sentiment-analysis

Python

CLEANED LARGE MOVIE DATASET FOR CREATING A KNN MODEL WHICH CLASSIFIES MOVIE DATA INTO DIFFERENT CLUSTERS AND RECOMMENDED MOVIES BASED ON THIS CLUSTER.

https://github.com/shabeeb248/movie-recommendation-using-KNN

Python, Matplotlib

ANALYZED IPL DATA FROM 2008-LATEST AND FOUND PERFORMANCE OF DIFFERENT PLAYERS AND TEAMS, IN DETAIL TO UNDERSTAND WHO IS BETTER AND IN WHAT ASPECTS. CREATED AN INTERACTIVE WEB APP USING PLOTLY AND DASH.

https://github.com/shabeeb248/IPLAnalysis

Python

BASED ON CUSTOMER DETAILS PROVIDED BY THE COMPANY I CLASSIFIED WHETHER A LOAN WILL BE APPROVED OR NOT.

https://github.com/shabeeb248/Loanprediction.gi