A Github Copilot implemention for Google Colab. Say goodbye to alt tabbing 👋

Veri Yapıları ve Algoritma Analizi

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

A python code running with jupyter notebook or google colabs, implementing the Data Mining Associating rule with Apriori algorithm.

One of the main point that AT&T users are facing is constant exposure to SPAM messages🕵️‍♀️. AT&T has been able to manually flag spam messages for a time, but they are looking for an automated way of detecting spams to protect their users.📱

Hello, this is my final project with my friend when I joined Fresh Graduate Academy Program at Binar Academy in 2023.

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

In this repository I will explain how to scrap websites using python programming language with BeautifulSoup and Selenium.

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

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.

Praticas com Python para manipulação de dados Geográficos, físicos e socioeconômicos;

Simplilearn - Data Science Capstone Project - June, 2022

Automated Optical Inspection (AOI) [1] is a high-speed and high-precision optical image inspection system that uses machine vision as the standard inspection technology to improve the shortcomings of traditional manual inspection using optical instruments.

Implementing Stack in python by importing deque library, creating Class of Stack and making functions of stack implementations.

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

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.

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.

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.

Notes of what are or seem to be useful for using Google Colaboratory. | Google Colaboratoryを使う時に役立った/役立ちそうな情報のメモ集（順次追加していく）