Weather Prediction Using Linear Regression & NASA API + Scikit-Learn | Beginner ML Project 2026

In this video, I build a Weather Prediction Machine Learning model using Linear Regression in the simplest beginner-friendly way using Python and Scikit-Learn. The weather dataset was collected from NASA’s open-source API and converted into CSV format using a custom Python data downloader script. ⚠️ I didn’t fully show the NASA data downloader code in the video, so you can find the complete source code and dataset generation scripts in the GitHub repository below. 📂 GitHub Repository & NASA Data Downloader Code: https://github.com/Aakidul/StratoML 🔥 What you’ll learn: - Weather Prediction using Machine Learning - Linear Regression with Scikit-Learn - Fetching weather data from NASA API - Converting API data into CSV datasets - Data preprocessing in Python - Training and testing ML models - Beginner-friendly ML workflow Tech Used: - Python - Scikit-Learn - Pandas - NumPy - NASA Open API #MachineLearning #Python #ScikitLearn #LinearRegression #WeatherPrediction #NASAAPI #AI #DataScience #MLProject #PythonProject #BeginnerML #OpenSource #GitHub #WeatherForecasting