Project 13: Next Day Min and Max Temperature Predictions Using Machine Learning and Python
Вставка
- Опубліковано 20 сер 2024
- Temperature Datasets :-
docs.google.co...
Welcome to Project 13 in our series, where we dive into the fascinating world of weather forecasting using machine learning techniques! In this video, we will guide you through the process of predicting the next day's minimum and maximum temperatures using Python.
🔍 What You’ll Learn:
How to collect and preprocess weather data.
Key machine learning algorithms suitable for temperature prediction.
Building and training models using popular Python libraries such as Scikit-learn, TensorFlow, and more.
Evaluating model performance and making accurate predictions.
Visualizing prediction results for better understanding and presentation.
📂 Resources:
Code snippets and Jupyter notebooks: [Link to GitHub repository]
Datasets used in the project: [Link to dataset source]
Additional reading and references: [Link to relevant articles/blogs]
🌟 Highlights:
Step-by-step tutorial suitable for beginners and intermediate learners.
Practical tips and best practices for working with weather data.
Insights into the challenges and solutions in temperature prediction.
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👍 Like, Comment, and Share:
If you found this video helpful, please give it a thumbs up, leave your comments below, and share it with your friends and colleagues interested in machine learning and weather forecasting.
Thank you for watching, and happy learning!
Datasets - docs.google.com/spreadsheets/d/1vTpjSx6Z30q4ucSgSXjdlWO0kvSSsuUv3nZw7HKhEf0/edit?usp=sharing
Outliers Video Link - ua-cam.com/video/5M7rZd2jzRE/v-deo.htmlsi=cY6WRgoDZmraEHkg
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Outliers video link - ua-cam.com/video/5M7rZd2jzRE/v-deo.htmlsi=cY6WRgoDZmraEHkg