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crop-harvest

Repository contains the code to predict whether a crop would be alive, damaged due to pesticides or damaged by other means using Machine Learning and Deep Learning

face-mask-detection-real-time-computer-vision

This repository contains code that implemented Mask Detection using MobileNet as the base model and Neural Network as the head model. Code draws a rectangular box over the person's face in red if no mask, green if the mask is on, with 99% accuracy in real-time using a live webcam. Refer to README for demo

machine-learning-employee-turnover-prediction

The repository consists of the Employee Turnover Prediction project which is analyzed using Machine Learning. The solution successfully predicts whether the employee will stay or leave the company.

machine-learning-heart-disease-prediction

The repository contains Heart Disease Project which is solved using Machine Learning. It is deployed on the Flask server, implemented End-to-End by developing a Front End to consume the ML model and is deployed in AWS EC2 Instance and the Heroku Cloud. Refer to README.md for the working demo and application links.

machine-learning-prediction-of-california-house-prices

The repository contains the California House Prices Prediction Project implemented with Machine Learning. The app was deployed on the Flask server, implemented End-to-End by developing a front end to consume the Machine Learning model, and deployed in Azure, Google Cloud Platform, and Heroku. Refer to README.md for demo and application link

neural-network-movie-recommendation

The repository consists of a recommendation engine that suggests movies to the users based on the genre and ratings previously received. Under the hood, a neural collaborative filtering technique has been implemented

research-paper-cloud-computing

This repository contains a research paper and certificates of it

transactions-fraud-detection

transformer-bert-sms-spam-detection

Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform