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bike-rental-demand-prediction

combine historical usage patterns with weather data in order to forecast hourly bike rental demand.

client-term-deposit-predictor

A project based on a real-life business problem, provided with the client data such as age of the client, their job type, their marital status, etc. Given this information, the task is to predict if the client will subscribe to a term deposit.

clustering-and-api

dog_emotio_classification

Using dog images and pre-trained CNN models to classify the emotions of dogs into 4 categories, angry, sad, relaxed, and happy

dog_emotion_classification_webapp

This is a web applcation built on react and fastapi. It takes an image of a dog as an input and uses deep learning to classify the emotion of dog in three classes (happy, sad, angry)

emotion-watchers

An emotion detection AI system using facial expression and pupillometry

falcon9_prediction

IBM Coursera capstone project to predict falcon 9 landing and further analysis.

kaggle_competition_ubc

lumos

machine-learning-model-deployment

This is a machine learning model deployment project of Iris classification model in a minimal UI using flask web framework and deployed it in Azure cloud using Azure app service. We initially made this project as a requirement for an internship at Indian Servers. We are now making it open to contribution.

machine-learning-projects

Projects for Machine Learning Projects

movie_recommendation_app

Welcome to the Movie Recommendation App! This application utilizes content-based filtering to provide personalized movie suggestions based on various movie details.

movie_review_sentiment_analysis

Simple project on sentiment analysis of movie reviews

ntcc-research-paper-

ntcc project on introduction to big data analytics, AI, Cloud computing, IoT on improving intelligent network and QoS

rishabhchauhan

semantic-textual-similarity-checker-webapp

Its a web app that is using fastapi and sklearn to calculate the similarity between two textual snippets.

sentiment_analysis_dl

sentiment analysis using deep learning techniques. The model is designed to analyze and classify the sentiment (positive or negative) of text data.

spam_email_classifier

Deep learning model using lstm layers to classify email as spam or not

spam_email_flask

Flask Web App for classifying email as spam or not spam. Just input the content of mail in the text field and press Analyse to get classification results.

sst-flask

sst_prediction_minor_project

Minor project

tesla-and-gamestop-stock-data-analysis

Used beautiful soup to web scrape Tesla and gamestop stock data

wine-quality-prediction-and-analysis

Prediction of wine quality using various classification algorithm and analysis of result to figure the key factors of a good quality wine

youtube_comments_scraper_flask

Scrapes comments of any video using selenium and beautiful soup.

yt_comment_analysis_webbapp

YouTube Sentiment Analysis web app allows users to input a YouTube video URL and the number of times they want to scroll through the comments. It then performs sentiment analysis on these comments and displays the result