NASA's Ice Cloud and land Elevation Satellite-2 (ICESat-2) Based Near-Shore Bathymetry. Stitching time-series of ICESat-2 observations to generate a near continuous near-shore bathymetry field.

Bootstrapping Language-Image Pretraining (BLIP): Leverages both text and image data to enhance AI models' understanding and generation of image descriptions. It bridges the gap between natural language and visual content, or NLP & Computer Vision.

RDP-Colab Remote Desktop to Colab Instance @SudoR2spr

Create narrated video story from book chapter using NLP, OpenAI and StableDiffusion.

All the basics of Python

Welcome to the Image Generation Tool, leveraging the power of diffusion models to create high-quality, realistic images. Diffusion models have emerged as a groundbreaking approach in the field of generative models, often surpassing the performance of traditional Generative Adversarial Networks (GANs).

This repository implements a machine learning model to predict credit risk using logistic regression. It utilizes Python libraries like pandas and scikit-learn to train a model on historical loan data. The model analyzes financial factors of loan applicants to classify them as high-risk or low-risk for loan default.

Web scraped data and analyzed with Google Colab.

Avaliação de hipóteses por meio de testes estatísticos.

Data preprocessing for Artificial Intelligence

Rock Paper Scissors is a zero sum game that is usually played by two people using their hands and no tools. The idea is to make shapes with an outstretched hand where each shape will have a certain degree of power and will lead to an outcome.

Complete resources of Machine Learning concepts in ipynb Files working on Google Colab

Welcome to the Machine Learning Detection Sound project! This project harnesses the power of machine learning to analyze car sounds, enabling the detection of vehicles based on their audio signatures.

Using linear regression machine learning model to predict home prices.

Underwater image enhancement using image sharpening methods on google colab

This code explores the Sleep Health and Lifestyle dataset, performing data loading, preprocessing, and visualization tasks. It analyzes relationships between variables like sleep duration, physical activity, gender, occupation, and BMI using scatter plots, box plots, etc.

This repository contains a Python implementation of a Multiple Linear Regression model to predict a company's profit based on various expenditures and the company's state.

Emotion classification base on short texts