A Github Copilot implemention for Google Colab. Say goodbye to alt tabbing 👋
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Updated
Feb 17, 2023 - JavaScript
A Github Copilot implemention for Google Colab. Say goodbye to alt tabbing 👋
An alternative full node bitcoin implementation written in Go (golang) Google Colab
Praticas com Python para manipulação de dados Geográficos, físicos e socioeconômicos;
Collection of google colaboratory notebooks artificial intelligence.
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
This repository is about the billionaires ranking list made by Forbes in the year 2022.
Naive Bayes used to build ML model for product development and market strategies for mobile company
A python code running with jupyter notebook or google colabs, implementing the Data Mining Associating rule with Apriori algorithm.
Pixelated handmade drawings classifier. Similar aproach to MNIST but the dataset it's made by myself on a WhiteBoard inside GoogleColaboratory.
Using the AWS webserver, ETL process with Pyspark analyze video game data from the Amazon Vine program to determine bias toward the program.
This project contains code for skin cancer detection based on benign or malignant using transfer learning techniques.
Web Scraper using Python
Deployment of NVIDIA-CUDA on Google Colab. With in examples codes (Vector Addition and Matrix Multiplication).
In this assignment I will put my ETL skills to the test. Many of Amazon's shoppers depend on product reviews to make a purchase. Amazon makes these datasets publicly available. However, they are quite large and can exceed the capacity of local machines to handle. One dataset alone contains over 1.5 million rows; with over 40 datasets, this can b…
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.
Deep Learning model for predicting success after donation coded in Google Colab
Computer Vision and Image Processing
In this project, different machine learning approaches are used to detect the diabetes in patients using the PIMA Indians diabetes dataset.
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