# Master Learning Rate and Feature Engineering: Supervised Machine Learning – Day 8
Today I started with Choosing the learning rate, reviewed the Jupyter lab and learnt what is feature engineering.
Today I started with Choosing the learning rate, reviewed the Jupyter lab and learnt what is feature engineering.
I didn’t get much time working on the course in past 5 days!!!
As you know I was in progress learning Andrew Ng’s Supervised Machine Learning: Regression and Classification, it’s so dry!
Today I spent 10 30 60 mins reviewing previous notes, just realized that’s a lot.
Day 4 was a long day for me, just got 15mins before bed to quickly skim through the video “multiple features” and “vectorization part 1”.
Day 2 I was busy and managed only 15 mins for “Supervised Machine Learning” video + 15 mins watched But what is a neural network? | Chapter 1, Deep learning from 3blue1brown.
As I’ve been advancing technologies of my AI-powered product knowlege base chatbot which based on Django/LangChain/OpenAI/Chroma/Gradio which is sitting on AI application/framework layer, I also have…
After done the configuration in Terminal Mastery: Crafting A Productivity Environment With ITerm, Tmux, And Beyond, we got a nice terminal: