Mir Faisal's Projects
The Car Price Prediction project is an advanced machine learning application that aims to predict the prices of used cars accurately. Using a dataset containing various car attributes, such as make, model, year of manufacture and other features, the project employs sophisticated algorithms to learn patterns from historical car sales data.
This repository contains a CNN Image classification model. It performs CNN on a dataset of dogs and cats using deep learning techniques. Achieved accurate categorization through convolutional layers, pooling, and fully connected layers.
This repository encapsulates fundamental concepts I learned during my first-year in college. DSA form the bedrock of efficient computing, enabling optimal data organization and algorithmic prowess.
Decision Tree from Scratch, XG Boost, Random Forest, Projects and Assignments of Coursera
This repository contains the Assignments and Projects of Deep Learning Specialization Course on Coursera.
This repository contains machine learning and deep learning projects from beginner to advanced, using TensorFlow and scikit-learn and other dependencices.
Heart disease prediction, a Machine Learning Model, utilizes patient data to estimate the likelihood of heart disease. Valuable for early detection and personalized interventions. High accuracy and interpretability aid healthcare professionals in improving patient outcomes.
Exploring fashion with neural networks!. This project leverages the Fashion MNIST dataset to design a cutting-edge model that accurately classifies clothing items.
This repository contains the basics of OpenCV like Image Manipulation, Video Capture, Color Detection, Corner Detection, Object Detection and Face and Eye Detection.
GestureVolumeControl: A repository of code for a hands-free audio volume control system. Adjust volume effortlessly with intuitive hand gestures.
A machine learning project for predicting objects as either 'rock' or 'mine' based on numerical features.
GitHub repository for IMDb Sentiment Analysis using NLP with TensorFlow & Keras. Includes data loading, preprocessing, model training, and evaluation. Achieved high accuracy in sentiment classification. Displays predictions and actual sentiments. Utilizes embeddings, padding, and neural networks.
This Flask-based weather application provides real-time weather information for any city. Users can enter a city name in a simple form to receive details about the current temperature, weather description, minimum and maximum temperatures, and a weather icon.