Machine Learning Dashboards
Here I showcase my deployed projects and discuss my various Machine Learning Projects
01
Calories burned Prediction
A machine learning regression project where I predict the number of calories burned during his workout given details of the individual doing the workout. I have used Random Forest Regression in this project and deployed the project on Streamlit. The model considers the body demographics like weight, height, heartbeat, body temperature, and workout details like workout duration to predict the number of calories burned during a workout.
02
Movie Recommender System
A machine learning recommendation project where I employ natural language processing algorithms to provide a few movie recommendations given an example movie from the user. I have used Count Vectorizer and Cosine Similarity on TMDB 5000 Movie Dataset, then deployed the same using Streamlit.
03
Diabeties-Prediction-App
This is your Project description. Provide a brief summary to help visitors understand the context and background of your work. Click on "Edit Text" or double click on the text box to start.
04
Project Name
This is your Project description. Provide a brief summary to help visitors understand the context and background of your work. Click on "Edit Text" or double click on the text box to start.
