Gradient Descent algorithm in Python
This video describes the details of the gradient descent algorithm and includes code for modeling using it.
What You’ll Learn:
1. The fundamentals of gradient descent algorithm
2. How to prepare and preprocess your dataset for analysis
3. Step-by-step coding using popular libraries like NumPy, Pandas, and Scikit-learn
4. Tips for visualizing your data and results
5. How to evaluate the performance of your model.
Previous videos:
1. Linear Regression Model in Python: A Step-by-Step Guide
• Linear Regression Model in Python: A Step-...
2. How to calculate RMSE, Correlation, and other metrics in Python | Code
• How to calculate RMSE, Correlation and oth...
3. How to develop a Multiple Regression Model in Matlab
• How to develop a Multiple Regression Model...
4. Flow direction concept and code
• How to code Flow direction | concept and code
5. Wavelet Neural Network
• Wavelet Neural Network
6. Concept of Extreme learning machines (ELM)
• Concept of Extreme learning machines (ELM)
Don’t forget to like, subscribe, and hit the notification bell for more programming tutorials!
(00:00) Introduction
(00:49) Description of Gradient descent algorithm
(06:01) Python inputs
(07.30) Model development
(13:17) Model loops
(12:48) Model development
(19:00) Model run
(20:38) Model testing
(24:37) Importance of Epochs
(25:54) Conclusions
Sur cette page du site, vous pouvez voir la vidéo en ligne Gradient Descent algorithm in Python durée heure minute seconde en bonne qualité , qui a été Téléchargé par l'utilisateur My Knowlege space 03 novembre 2024, Partagez le lien avec vos amis et connaissances, sur youtube cette vidéo a déjà été regardée 218 fois et il a aimé 5 téléspectateurs. Bon visionnage!
