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.

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…

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

Messy artifacts produced in the process of my trials and errors for learning. | 学びの過程で発生した乱雑なコード群

To create a classification model to predict whether a person makes over $50k a year

This projects is made using pandas operation to analyze the dataset having data from some of the most famous streaming platforms - Netflix, Hulu, Prime Video and Disney+. In this project the visualizations are done in Plotly and Seaborn.

Deep Learning model for predicting success after donation coded in Google Colab