Implementation of a comparative analysis to find the best ML model for classifying dry eye disease from healthy controls using metabolomics datasets.
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Updated
Jun 12, 2024 - Jupyter Notebook
Implementation of a comparative analysis to find the best ML model for classifying dry eye disease from healthy controls using metabolomics datasets.
This repository helps you understand python from the scratch.
Skripsi Prediksi Harga Saham Menggunakan Deep Learning LSTM oleh Gesang Paudra Jaya
This focuses on performing a time series analysis of Bitcoin revenue using a naive forecast approach. The goal is to understand the revenue trends and make simple predictions based on historical data.
Colab server for Minecraft, Terraria and more...
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Python package to apply the Safety Checker from Stable Diffusion.
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A curated space for storing and managing AI notes, configurations, notebooks, and similar items for personal use
Кваліфікаціна робота магістра. Тема: "Формування дивiдендної полiтики корпорацiї (на прикладi компанiй, що входять до iндексу Standard & Poor’s 100)"
This course serves as an introduction to Structured Query Language (SQL) for the aspiring data analyst, focusing on fundamental concepts and practical applications. The course incorporates interactive video lectures, as well as weekly course exercises to reinforce learning.
Master's_Mathematics_for_Computer_Science
A Pyrogram based Telegram Bot to Transfer Files / Folders to Telegram and Google Drive With Multi-Functionality Using Google Colaboratory
Simple RAG tutorials that can be run locally or using Google Colab (only Pro version).
This project employs machine learning to forecast housing prices in California. By scrutinizing location, housing details, and demographics, it constructs various regression models like Linear Regression, KNN, Random Forest, Gradient Boosting, and Neural Networks. These models offer invaluable insights to optimize predictive real estate investment
Repo containing scripts for videos featured on Adrian Dolinay's YouTube channel.
🛑 A Google extension to disable HTML on web pages
Resources and materials to make Python programming more accessible to people with disabilities and/or neurodivergencies.
This project is a web application for predicting loan approval status based on various financial and personal attributes. It uses a machine learning model that I trained on historical loan data to make predictions. I built the web application using Flask for the web framework, SQLite for the database, and the pre-trained model saved with joblib.
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