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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.
Hello, this is my final project with my friend when I joined Fresh Graduate Academy Program at Binar Academy in 2023.
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.📱
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.
Simplilearn - Data Science Capstone Project - June, 2022
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.
In this repository I will explain how to scrap websites using python programming language with BeautifulSoup and Selenium.
A machine learning project which predicts Uber trip data for different factors.
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;
Implementing Stack in python by importing deque library, creating Class of Stack and making functions of stack implementations.
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)
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
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.
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
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.
Loan approval analysis using Python
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.
Instructions and experiments for running SLM Lab in Google Colab with Atari Freeway Game
How to create an audio file creation in a Mac environment and play it today on Apple Music.
expert system using experta package-python
The work uses Hopsworks for Feature store and creating Feature groups for Machine learning modeling
The MARKET ANALYSIS DASHBOARD is a project that aims to provide a comprehensive analysis of market data.
Computer Vision and Image Processing
Machine learning prediction model whether a passenger survive or not in titanic accident
This repository was created by me, a student who wants to learn machine learning !
This project deals with predicting the sentiment of the customers of a restaurant. The technology used is Artificial Intelligence and Machine Learning.
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.