Muhammad Ehsan's repositories
Financial-Services-Consumer-Analytics
IT Bootcamp Final Exam Project: Delve into the world of data science with this exam. Explore consumer dispute data, apply machine learning models, and analyze sentiment to solve real-world financial service challenges.
AI-ChatBot-Using-Python
Explore the world of conversational AI with this Python-based AI chatbot. This repository contains a desktop chatbot program designed to simulate conversations with human users. Harness the power of PyTorch, NLTK, and more to create a smart and interactive chatbot.
AI-Chatbot-Website
This repository contains the code and assets for a professional website showcasing information about Generative AI Chatbots. The website is built using HTML, CSS, and Flexbox layout techniques to create an engaging and responsive user interface.
CODSOFT
This repository contains the completed tasks for the CodSoft Data Science Internship. Each task focuses on a unique aspect of data science and machine learning, showcasing various skills and techniques in the field.
Digital-Tech-Store
The "digital-tech-store" repository hosts the codebase for an online store specializing in digital technology products. From smartphones to gadgets, this store offers a wide range of digital items to meet the needs of tech enthusiasts.
DS-ML_MID
Explore gender classification using machine learning and deep learning techniques, achieving over 95% accuracy. Predict cement strength through advanced regression methods and neural networks for precise results.
Eid-mubarak-message-generator
A Flask web application that generates random "Eid Mubarak" messages to celebrate the joyous occasion of Eid. Spread the festive spirit by sharing personalized greetings with your loved ones. Refresh the page for a new heartfelt message each time!
Employee-Retention-Prediction
Analyze HR analytics data to identify factors affecting employee retention. Build a logistic regression model for predicting retention and measure its accuracy.
Iris-Flower-Classification
A machine learning project for classifying iris flowers into three species using sepal and petal characteristics. The repository includes EDA, advanced data visualization, and model evaluation, achieving 100% accuracy. Explore data, models, and visualizations in the notebook, images, and data folders.
Machine-Learning-Exploration
A dedicated repository housing machine learning models, datasets, and notebooks showcasing diverse algorithms, techniques, and applications in the field of machine learning.
MuhammadEhsan02
Config files for my GitHub profile.
nadra-office-karachi-locations
This repository contains a Streamlit application that displays the locations of NADRA offices in Karachi, Pakistan. The application utilizes the Streamlit library along with Folium to create an interactive map. The map showcases the different NADRA office locations and allows users to click on markers to view additional details about each office.
Pakistani-Proverbs-App
A Flask web application that showcases traditional Pakistani proverbs along with their meanings and explanations, celebrating the cultural heritage of Pakistan.
Power_BI_call-center
Call Center Dashboard
Power_BI_Retail-Analysis
Retail data analysis
Power_BI_School-data-analysis
Australian School Data
Predicting_PerCapitaIncome_with_LinearRegression
In this repository, I explore Canada's income trends, using basic linear regression to anticipate future incomes. Through datasets, code, and guides, I uncover insights and techniques to forecast income trends effectively. Explore and learn to predict future income patterns with ease.
PyAutoGUI-Youtube-Automation
This GitHub repository contains a collection of Python scripts utilizing the PyAutoGUI library to automate various actions on YouTube. From opening new tabs, searching for specific channels, accessing playlists, to subscribing and liking videos, these scripts demonstrate the potential of automation in enhancing your YouTube experience.
Random_Quote_Generator
The project serves as an excellent resource for individuals interested in learning about API integration, web development with Streamlit, and creating interactive applications. It demonstrates key concepts such as making HTTP requests, handling API responses, and displaying dynamic content in real-time.
Salary_Prediction_Model
This repository contains a machine learning model developed to predict salaries for future candidates based on their experience, test scores, and interview scores. The model is trained using hiring statistics data and utilizes regression techniques to make salary predictions.
streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
Tkinter-Calculator
A calculator application built using Tkinter, featuring both basic and scientific calculations. The application allows users to perform arithmetic operations, as well as trigonometric functions, square root, logarithm, exponential, and factorial calculations.
TypeScript-Public-API-Table-Display
This repository contains the completed code for a TypeScript web application that fetches data from a public API and displays it in a table.
Vehicle-Rental-System
This repository created for the purpose of completing a TypeScript coding assignment. It contains code for implementing a class hierarchy to model a vehicle rental system.