A Github Copilot implemention for Google Colab. Say goodbye to alt tabbing 👋
Tujuan kurikulum ini terstruktur untuk mempersiapkan anda mendapatkan pekerjaan pertama sebagai Data Analyst. Fokus pada statistik dasar, SQL untuk analisis bisnis, Python (NumPy & Pandas), pembersihan data, visualisasi, persiapan interview kerja dan profesinal portofolio yang mendorong karier anda.
A python code running with jupyter notebook or google colabs, implementing the Data Mining Associating rule with Apriori algorithm.
Exploring Underrated Power of Bitcoin Utilities: comprehensive guide Google Colab and next big thing in cryptocurrency
Google Colab üzerinde kod geliştirme, veri işleme ve proje yönetimi için adım adım kullanım kılavuzu.
19-28 Ocak 2026 tarihleri arasında IGU SEM bünyesinde gerçekleştirilen uygulamalı eğitimlerin kaynak dosyalarının bulunduğu bölümüdür.
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.
Sistem Absensi Berbasis Face Recognition dengan Cloud Computing dan AWS DynamoDB
Instructions and experiments for running SLM Lab in Google Colab with Atari Freeway Game
expert system using experta package-python
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.📱
Linear Regression is a statistical method used to model the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a straight line (regression line) to the data. It predicts the target value based on the linear relationship and is commonly used for forecasting and trend analysis.
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
Collection of google colaboratory notebooks artificial intelligence.
In this repository I will explain how to scrap websites using python programming language with BeautifulSoup and Selenium.
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 project applies K-Means Clustering to segment customers based on Annual Income and Spending Score. It uses unsupervised machine learning to identify distinct customer groups and visualize purchasing behavior. Techniques like the Elbow Method and Silhouette Score are used to determine the optimal number of clusters.
🧠 Binary Logistic Regression model built on the Titanic dataset to predict passenger survival using Python, pandas, and scikit-learn.
Semi-local chatbot 😂 | Running Deepsek 1.5B via cloud tunneling with Ngrok. Made with 💖 for potato device :v
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