Design a Decision-Tree Classifer and a Logistical Regression Classifier and compare there performance in Sentiment Analysis on Twitter Tweet data

Python implementation of the algorithm C3E (Consensus between Classification and Clustering Ensembles) based on a Squared Loss function (C3E-SL).

This repository contains our work for Task 1 of the ITSOLERA internship, a sentiment analysis project. Using Python and Streamlit, We developed a web application that analyzes text input and predicts the sentiment as positive or negative. The repository includes the complete code for the project.

A place to put random stuff

Study of algorithms that learn by experience.

I am new to artificial intelligence and this is a program I made to test the similarity of an input to a subject, whose data is input at the beginning. I would like to know wether I got the right idea of a machine learning model here and what changes could be made to make it more accurate.

Artificial Intelligence and Machine Learning - Team Project - Dice Wars

This is a project that was done for the Skill4U machine Learning program. This project is a Spam email classifier using machine learning. This model uses Gaussian NB algorithm to train the model.

Business analytics, data analysis projects and practices.

My professionnal webpage

Executed NLP techniques to analyze the transcripts and determine the sentiment expressed by customers towards different companies. Performed EDA on the dataset to identify key insights and patterns in customer sentiment. • Classified the sentiment as positive or negative.

This project classifies flower images from the Oxford 102 Dataset using K-means clustering for feature extraction and machine learning for classification. It achieves efficient and accurate classification with optimized feature extraction and reduced feature sets.

all kinds of text classification models and more with deep learning

The Project repo for Chest X-Ray Pneumonia Detection

🚗 Welcome to the "Intrusion Detection using Machine Learning in Automobiles" repository! 🌟 This project is all about enhancing vehicle security using advanced machine learning techniques. We employ algorithms and statistical models to safeguard your car and its precious cargo against unauthorized access and theft.

Prototype provides following functionalities: using CCTV footage, detect whether the distance between two people is more than 6ft or not, predict queue wait time outside the shop and crowd counting.

House Price Prediction can help the customer to arrange the right time to Purchase a House. It is An - ML based Approach which Predicts the Estimated Price of Housing in Mumbai City.

Speech & Audio Algorithms and Machine Learning Interview Questions