supervised-learning-algorithm

This source code is a MATLAB implementation of a haze removal algorithm that can deal with the post-dehazing false enlargement of white objects effectively. The work was published in MDPI Sensors journal under the title "Single-Image Visibility Restoration: A Machine Learning Approach and Its 4K-Capable Hardware Accelerator".

Implementations of machine learning algorithms from scratch.

Using 2012-2016 open Google stock price to predict 2017 opening google stock price using Recurrent Neural Network stacked LSTM.

A Classification Method in Machine Learning Based on Soft Decision-Making via Fuzzy Parameterized Fuzzy Soft Matrices

Hands-on implementations of supervised machine learning algorithms using Python, NumPy, Pandas and Scikit-learn.

A comprehensive collection of Machine Learning algorithms from beginner to advanced, featuring mathematical foundations, Python implementations, model training, optimization, evaluation techniques, and practical examples using Scikit-learn and other ML libraries.

Repo for the book ratings prediction of the project from scratch

IFPIFS-HC

This repository classifies x-ray images of lung into two classes: i.e. pneumonia class or normal using deep CNN architecture

Loan_Approval_Prediction / ML Model building ----- AI project focused on supervised classification. Includes data preprocessing, training and evaluation of classifiers like logistic regression and decision trees using Python and popular ML libraries.