𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗜𝗺𝗽𝗮𝗰𝘁 𝗼𝗳 𝗖𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗮𝘁𝗲

In machine learning, the 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗿𝗮𝘁𝗲 is a crucial 𝗵𝘆𝗽𝗲𝗿𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿 that directly affects model performance and convergence. However, many practitioners select it arbitrarily without fully optimizing it, often overlooking its impact on learning dynamics.

To better understand how the learning rate influences model training, particularly through gradient descent, visualization is a powerful tool. Here's how you can deepen your understanding:

📹 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗲𝗱 𝘃𝗶𝗱𝗲𝗼𝘀: by Pritam Kudale

• Loss function and Gradient descent:

• Concept of linear regression and R2 score:

• Hyoeroarameter Tuning:

💻 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗶𝘀 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗱𝗲𝗺𝗼𝗻𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻:

Learning Rate Visualization in Linear Regression: https://github.com/pritkudale/Code_for_LinkedIn/blob/main/learning_Rate_LR.ipynb

#MachineLearning #LinearRegression #LearningRate #GradientDescent #AIInsights #DataScience