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.
restaurant chat-boat help to manage there customer
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
A project with the aim of predicting environmental radiation doses arising from a radionuclide therapy service based on patient treatment types and numbers.
This project implements a genetic algorithm for image reconstruction
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.
A demo of Linear Regression and Overfitting using numpy and sickit-learn.
analyzing covid-19 dataset
This repository consists of data analysis using python and other libraries where use several techniques and in different domains
Analysis of datasets to obtain relevant information. Coding with Python
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.
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