This is a machine learning program to find out the diffrence between the apple and the orange . This code is simple to understand and It is wriiten in the language Python as we all know that python is a power llanguage so i use python library for this code i.e Scikit learn . In this code there is a use of the decicion tree to classify the diffre…

this is machine learning classifier model that helps to classify wine as good or bad on the basis of various features

Build a classifier model to assign the tickets to the right functional groups by analyzing the description of the given complaint.

This repository contains implementations of Logistic Regression and Linear Regression classifiers for multiple datasets. The Logistic Regression model is trained using a slightly modified Maximum a Posteriori (MAP) learning approach with gradient descent.

DNN based business license classifier using h2O base model and Flask deployment.

Wine Data Set - Classification models

User-friendly web interface using Fast API for interacting with the model to predict whether a given website URL is a phishing site or not.

Data preprocessing and training on Drug Review Dataset using Hugging Face library

Liver patient data analysis.

This repository contains a custom Neural Network Algorithm based on the code proposed by Michael Nielsen in "Neural Networks and Deep Learning" (http://neuralnetworksanddeeplearning.com/) and the course "Machine Learning" offered by Standford and instructed by Andrew NG, this course is available in Coursera.

Topic classifier based on MPNet, for 16 general topics

This project uses the Multinomial Naive Bayes classifier to enhance movie genre classification based on metadata such as descriptions and ratings. Utilizing a dataset from Kaggle, it aims to improve content recommendation systems through accurate genre prediction.

Efficient way to detect if a face has a mask on. Used EfficientNet-B0 model architecture.

image classifier built with PyTorch, then convert it into a command line application.

Repository in Machine Learning. All basic machine learning codes with examples will be shared over this platform.

Vehicle detection using machine learning and computer vision techniques for Udacity's self-driving car course.

Using radial velocity data to identify exoplanet companions

A simple comment machine learning classifier created using Scikit-Learn

This project was done as part of our NLP course project. This project depicts the work of classifying the news as Real News (Encoded by binary value of "1") and Fake News (Encoded by binary value of "0").