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This repository contains the source code for a Tic-Tac-Toe web application developed as a part of my web development projects. The game is built using modern web technologies and provides a fun and interactive experience for users.
A machine learning engineer leverages programming and statistical expertise to design, implement, and deploy predictive models. They bridge the gap between data science theory and practical applications, solving real-world problems through innovative machine learning solutions.
🎮 Tic-Tac-Toe Game ✨ - Built during my Prodigy Infotech internship, this React.js project features an interactive UI for a classic two-player Tic-Tac-Toe game. 🏆 Enjoy real-time winner detection and a seamless user experience using React.js, JavaScript, HTML, and CSS. 🎲👨💻
simple stopwatch ⏲️ application built using React ⚛️ and styled with Tailwind CSS 🎨. Features include start ▶️, stop ⏹️, resume ▶️, and restart 🔄 functionality with real-time updates. Perfect for learning React state management and Tailwind CSS styling.
🛒 Customer Segmentation Project ✨ - Developed during my internship at Prodigy Infotech, this project uses KMeans clustering to segment supermarket customers based on ID, age, gender, income, and spending score. The goal is to identify target customers for better marketing strategies. 📊👨💻
🚀 House Price Prediction Project 🏡 Developed at Prodigy Infotech: Predicting house prices using linear regression on square footage, bedrooms, and bathrooms. Tech Stack: Python, Pandas, Scikit-learn, Matplotlib. Dataset: Kaggle House Prices.
Excited to share that I have successfully completed the second task of my internship! 🎉 I had the opportunity to perform data cleaning and exploratory data analysis (EDA) on the Titanic dataset from Kaggle. Through this process, I was able to obtain relationships between variables and identify patterns and trends in the data.
This repository includes guides on creating visualizations for categorical and continuous variables using bar charts and histograms. Enhance data presentation skills with customizable charts to effectively communicate insights on age distribution and gender breakdown.
This repository depicts the usage of bar charts and histograms to create visualizations for continuous and categorical variables which develop your ability to present data with charts that are customized to provide insights about population distribution.