An Interactive Repository for Immersive Algorithmic Exploration and Learning.

A Bidirectional LSTM model to classify whether a given tweet talks about a real disaster or not. This was my project in "CSC 522: Automated Learning and Data Analysis" course at NC State University.

Hey 👋 , Made Road-Map for ML ( Machine 🤖 Learning ) & DL ( Deep 🤖 Learning ) Learner .

Experiments in the field of Sentiment Analysis using ML Algorithms namely Logistic Regression, Naive Bayes along with tfidf, one hot encoding, bag of words vectorization. Different MLP and RNN models viz. LSTM, GRU, Bidirectional LSTM. Lastly, state of the art BERT model

A Python based AI ML package for generating the best matching text from a paragraph for a given keyword/sentence.

Basic data visualizations, Statistics and Machine Learning algorithms are implemented using R Language

This repository consists of files required to deploy a **Machine Learning** Web App created with **Flask**

A Machine Learning approach to detect Malwares in the system.

This repository contains the code related to machine learning knowledge. Each code has been provided from start to end with systematical vew of each concept that you will need in your journey of learning ML.

Lightweight Machine Learning Library

Python implementations of basic machine learning algorithms

machine-learning-algorithms, neural network ,assignments, computer vision , image classification,

This is a mini project on Brain Stroke Prediction using ML Classification Algorithm(Logistic Regression)

Decision Tree is a decision-making tool that uses a flowchart-like tree structure or is a model of decisions and all of their possible results, including outcomes, input costs and utility. Decision-tree algorithm falls under the category of supervised learning algorithms. It works for both continuous as well as categorical output variables.Decis…

Airline travel has become one of the most used means of transportation in the last decades. With the frequent travel by customers, there is a lot of increase in the airlines and so is the demand. To keep the existing customers and attract the new ones in the very competitive environment

Web app to predict live probability of win percentage of match

Python implementation of ML algorithms

A mini project on Brain Stroke Prediction using Logistic Regression with 89% Accuracy

Rain-prediction-in-Australia machine learning models in Python. This project is part of the IBM AI Engineering Professional Certificate.