internshala-project

Internshala Android App Development App-a-thon Food Delivery App

This is an e-commerce webpage that I made as a project in Internshala Web-Development Training. This is a simple e-commerce webpage used to sell mobile phones. technologies used are HTML, CSS, Bootstrap, PHP, and SQL.

Internshala Automation tool to automate internship application process using Python and ChatGPT.

This is a fantasy Cricket Game. It was built as part of Internshala Programming with Python Training Contest and won the first prize in the contest. The game allows you to create a virtual team of cricket players and calculate their score points on how the players perform in different matches.

This repository contains my final project for the Internshala Machine Learning course. It includes data preprocessing, model training, and evaluation using regression algorithms, showcasing the skills and concepts learned throughout the course.

Cricket game using Python GUI

Projects from the Internshala Data Science course, showcasing my skills in Excel, SQL, Python, and Tableau for data manipulation, analysis, and visualization.

This project aims to develop a machine learning model that can classify news articles into predefined categories, such as sports, politics, and technology, based on their content.

Weather app project assigned by Internshala for certification of javaScript on completion.

Predict car purchase likelihood using Gradient Boosting on a Japanese dataset and estimate potential customers in an Indian dataset.

This is clone website of internshala.com. Internshala is an internships, jobs and online trainings searching platform.

Sentiment analysis is a natural language processing (NLP) task that involves determining whether a given text expresses a positive or negative sentiment. In this project, we will analyze movie reviews from the IMDb dataset and predict the sentiment (positive or negative) based on the text of the reviews.

FoodHunt is an android application that allows users to search for and discover new restaurants and foods online. Its is been build on RESTFUL API for fetching the Food items and Restaurants. Its been build as an assignment task on internshala Andriod Developement Course

Projects from the Internshala Data Science course, showcasing my skills in Excel, SQL, Python, and Tableau for data manipulation, analysis, and visualization.