This repository showcases the deployment of a Machine Learning project on Google Colab, leveraging cloud computing resources to build, train, and test models efficiently. Google Colab offers a powerful platform with GPU/TPU acceleration and seamless integration with Google Drive, making it an ideal choice for cloud-based ML workflows.

How to create an audio file creation in a Mac environment and play it today on Apple Music.

This Streamlit app allows you to upload an MRI image and predict if there's a brain tumor or not. The app uses a trained Keras model to make the predictions.

Machine learning prediction model whether a passenger survive or not in titanic accident

Instructions and experiments for running SLM Lab in Google Colab with Atari Freeway Game

The Electric Vehicles Market Size Analysis project is a comprehensive study aimed at understanding the current state and potential growth of the Electric Vehicles (EVs) market.

This repository was created by me, a student who wants to learn machine learning !

A machine learning project which predicts Uber trip data for different factors.

The work uses Hopsworks for Feature store and creating Feature groups for Machine learning modeling

In this project, different machine learning approaches are used to detect the diabetes in patients using the PIMA Indians diabetes dataset.

Exploring Underrated Power of Bitcoin Utilities: comprehensive guide Google Colab and next big thing in cryptocurrency

Repository for a deep learning model that classifies images as either cats or dogs using deep learning techniques. The model is trained on a diverse dataset and achieves high accuracy in distinguishing between these two popular pet categories. Includes pre-processing scripts, model architecture, and evaluation metrics for seamless implementation

In this project, you will perform basic data analysis on a dataset of Airbnb listings. EDA is a fundamental step in data science that involves exploring and understanding the data before diving into more complex analysis or modeling.

Enhance data analysis and machine learning skills in the 'Industrial Copper Modeling' project. Tackle complex sales data challenges, employ regression models for pricing predictions, and master lead classification for targeted customer solutions

This is a Fertilizer Forecasting tool or an app, which predicts an optimal fertilizer from the collected soil and other depending factors. The tool is developed machine learning algorithms, streamlit-webapp. and streamlit-cloud.

Computer Vision and Image Processing