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-multiple-linear-regression-model

atm_project

ATM

binary-classifier

This repository houses the code for a machine learning model designed to predict customer churn. The model is built using Support Vector Machine (SVM) from the scikit-learn library and incorporates preprocessing, pipeline, and grid search techniques for optimal performance.

black-jack

book-store-mern

This is a Book Management System built with React for the frontend and Express with MongoDB for the backend. It allows users to view, add, edit, and delete books in the system.

boston-housing-project

This project aims to predict housing prices in the Boston area using various machine learning models. It leverages the Boston Housing dataset, applying preprocessing techniques, feature engineering, and model evaluation to understand and predict housing prices effectively.

car-safe-predictor

This repository contains a machine learning project that applies the K-Nearest Neighbors (KNN) classification algorithm to predict car safety ratings. The project uses a dataset of cars, with features such as buying price, maintenance cost, number of doors, persons, lug boot size, and safety.

carpriceestimator-api

celebrityimageclassifier

chat-app-ts-react

chatbot-with-pytorch

cifar-10-object-recognition

This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.

coffee-machine

This Coffee Machine project is a part of the "100 Days of Code: The Complete Python Pro Bootcamp" course on Udemy. It is a Python-based console application that simulates a coffee machine.

companyb

Repository "Company B" is dedicated for the documentation of the web application

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

corp-next

coursera-c-cpp

custom-image-classification-model

This repository hosts a TensorFlow-based custom image classification model. The model is designed to classify images into binary classes, labeled as 'Happy' and 'Sad'.

data-preprocessing

design-patterns-ts

discuss-forum-next

dnn-from-scratch

dsa-study-hub

file-storage-app

finance-logger

fromzerotoneural

gamedev-cpp-number-guess-game

grade-predictor

This project aims to predict student performance based on various features such as job, study time, failures, absences, and first and second period grades. The project utilizes a linear regression model from the scikit-learn library in Python.

hangman-ts

health-insurance-cost-prediction

This project focuses on predicting health insurance costs using a polynomial regression model. By employing machine learning techniques in Python, the project aims to accurately estimate insurance costs based on various personal attributes. The model takes into account several features including age, sex, BMI, number of children, smoking status etc