Travel Time Optimization via Ant Colony and Genetic Evolution

This analysis uses EDA to provide Microsoft with insights into the film industry, identifying successful studios and informing strategic decisions for entering the film business.

The top teams in the English Premier League in the 2021-22 season, Manchester City and Liverpool FC, have gone ahead during this off season to add classic NO.9s to their already stellar attack options. Let's see how these two player stack up against each order using radar plot. Data source is FBref via Statsbomb.

The purpose of this project is to derive insight on characteristics and statistics regarding the dataset to see which factors influence whether or not a patient has had a stroke.

This model is trained using SVM algorithm and achieve accuracy of 90% approximatly . This model helps to know wheather a person in deseased with parkinson's or not just by gathering some features

This repository consists of data analysis using python and other libraries where use several techniques and in different domains

restaurant chat-boat help to manage there customer

This project implements a genetic algorithm for image reconstruction

A project with the aim of predicting environmental radiation doses arising from a radionuclide therapy service based on patient treatment types and numbers.

This program generates ASCII art from graphical images using pillow, and numpy.

Learning Python For Data Engineering

EcoStubbleAI is an innovative project addressing the critical issue of stubble burning in the Delhi and Punjab regions, leading to harmful smog and environmental concerns. Our solution harnesses the power of AI to provide an efficient and cost-effective method for stubble disposal.

A simple two-player Tic-Tac-Toe game built using Python and Tkinter. Features include a graphical game board, turn-based logic, win/tie detection, score tracking, and a replay option—all in an interactive GUI.

CRM Analysis of a E commerce company.

analyzing covid-19 dataset

python AI based projects

A demo of Linear Regression and Overfitting using numpy and sickit-learn.

This project focuses on classifying images of microbial colonies using image processing techniques and a machine learning model. The goal is to detect and label different types of microbes based on their visual characteristics.

In this project, we have developed a web application that leverages computer vision and machine learning techniques to detect facial expressions in real-time using the user’s webcam feed. Based on the detected emotions, the application recommends music tracks that correspond to the user’s current mood.

Analysis of datasets to obtain relevant information. Coding with Python

virtual paint brush application

No description provided.

Q12) Below are the scores obtained by a student in tests 34,36,36,38,38,39,39,40,40,41,41,41,41,42,42,45,49,56 Find mean, median, variance, standard deviation. What can we say about the student marks?

No description provided.

The Criminal Database Management System is a Python-based project designed for analyzing data of criminals in jail. It leverages pandas, numpy, matplotlib, and seaborn libraries for comprehensive data analysis and visualization.

Applied the EDA methods in the titanic.csv file and fixed all the missing values in it.

This is a chatbot that will give answers to most of your corona related questions/FAQ. The chatbot will give you answers from the data given by WHO(https://www.who.int/). This will help those who need information or help to know more about this virus.

This project performs exploratory data analysis (EDA) and sales forecasting for a retail dataset. It leverages Python libraries such as Pandas, Matplotlib, Seaborn, to analyze sales trends and predict future sales.

✨ PromptGreen is a web-based tool that helps optimize AI prompts for better performance and sustainability. 🔍 It rewrites lengthy or redundant prompts into cleaner, shorter versions. 📉 Shows token savings and estimated CO₂ reduction per prompt. 🌱 Built for conscious AI users who want to reduce digital carbon footprints.

Elevate your Barcelona rental experience with this project: a fusion of AI and user-friendly design, offering 98% accurate price predictions through a FastAPI-powered ML model and an engaging Streamlit frontend.