Machine Learning C++

Assumptions of Logistic Regression, Clearly Explained

人工智能检测恶意URL

🫀 A machine learning project using logistic regression to predict heart disease risk from clinical data. Built with Python, scikit-learn, and Jupyter notebooks. Achieves 85%+ accuracy on 303-patient dataset with 13 medical features. Complete ML pipeline from data exploration to model evaluation.

Sentiment analysis of IMDB dataset.

This repository contains the Iris Classification Machine Learning Project. Which is a comprehensive exploration of machine learning techniques applied to the classification of iris flowers into different species based on their physical characteristics.

Machine learning project for predicting credit risk using Logistic Regression, Decision Tree, and Random Forest.

A repository consisting of implementation of all machine learning models.

Fruit Count prediction using its shape and size using Machine Learning

It includes my work on Machine learning during Coursera Assignment. It includes Linear regression and Logistic regression working model .It also include Neural Network implementation and Backpropagation Algorithm .It also include SVM implementation and also a Spam Classifier using SVM.

A repo holding the implementation as well as some theoretical explanation of the important relevant concepts. It is going to be in development for a long long time. I'll keep adding things everytime I have something to add to it, and I have the time for it. One can use it to learn the basics of Machine Learning from kind of scratch.

This is repository about the MachineLaering Basics including all the Machine learning Algorithms

This Python package provides a robust framework to automatically train, evaluate, and visualize multiple machine learning models for both Classification and Regression problems. It includes features for automatic best model recommendation, colorful confusion matrices, and comprehensive performance plots.

Fake Currency Detection using Logistic Regression Algorithm

Heart Attack Prediction Using Machine Learning Algorithm

Running a targetted marketing ads on facebook. The company wants to anaylze customer behaviour by predicting which customer clicks on the advertisement

Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.

python-logisticregression

Implementation of all basic algorithms needed in Deep Learning

Loan Prediction using Classification Techniques