AIML Projects

Comparative Study of KNN and Decision Tree Models for Predicting Students' Adaptability Level in Online Education

Convolutional Neural Network and K-Nearest Neighbor models designed to detect fraudulent Credit Card Transactions

Machine learning Mini Projects

Fundamental ML algorithms in Python.

Comparing different classification models on the same dataset to classify people into genders based on several features.

Heart Disease Risk Prediction using various ML Algorithms and comparing their accuracies

A school machine learning project based on the Knearest neighbours model

Harmonizing Hearts: A Music-Based Compatibility Analysis

Heart disease prediction application implemented in Python, employing the K-Nearest Neighbors (KNN) machine learning algorithm, with a PyQt5-based Graphical User Interface (GUI) for user-friendly interaction.

This project utilizes transfer learning with TensorFlow's ResNet50 model to build an apparel recommendation system. The system scans images and displays the five closest items from the dataset on a Streamlit-based webpage.

This Github repository contains projects related to KNN classification. Exploring Insights/Inferences by performing EDA on the given project data (Iphone purchase and Bangalore house price).

In my machine learning algorithms repository, I've implemented diverse models

in this project i worked on the famous Titanic dataset, from cleaning the data to analyzing it and training the model [with KNN algorithm] to evaluating it.

This is a mini Project on Credit Card Fraud Detection Web App. Using four Learning Algorithms

👩Women👩 and 🎗 Breast Cancer🎗: Analysis📊 and Detection🔍

K Nearest Neighbours algorithm for iris dataset

Machine learning model which uses Linear Regression and K Nearest neighbours (KNN) algorithms to predict heart failure based on parameters .

[ Simple steps to learn Machine learning models ]