Predict Chicago Food Inspections

Used data from the Chicago Department of Public Health to build a model to predict whether a food establishment passed inspection or not. The purpose of this model is to help inspectors use their time more efficiently by identifying establishments that will likely fail inspection.

Predicting Home Prices in Iowa

The goal of this project is to build a regression model that can predict the sale price of a house in Aimes, Iowa.

Student Performance Prediction

This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch, Test Prep, and predicts Math Scores.

Yelp-Reviews-NLP-Project

NLP Analysis for Yelp Reviews This notebook aims to utilize Natural Language Processing (NLP) techniques to identify the strengths and weaknesses of Yelp restaurants and offer suggestions for improvement. Additionally, the notebook demonstrates the application of machine learning models for predict

Skill Gap Data Analytics

Analyzing trends, identifying skill shortages, and facilitating the planning of training programs to address these gaps effectively.

Data Driven Discoveries: Analytics for Startup Success

The goal of this project is to assist our customer in finding a skilled team. We will analyze a dataset containing profiles of individuals to identify the best candidates for the customer's startup.

Vehicle Price Prediction

My approach involved identifying outliers in datasets using statistical methods like Interquartile Range (IQR). I applied filtering techniques to remove outliers, ensuring our models were trained on reliable data points, which improved their accuracy and reliability.