Hello :) Today is Day 4!
A quick summary of today:
- Financial Risk Management Using Python Machine Learning
- Microsoft’s ML-For-Beginners lecture 2 - regression
Firstly, when I looked at the table of contents of the textbook, I liked it, but when it arrived today, it was not and I applied for a refund. In the past, I had used Python deep learning TensorFlow and Python deep learning machine learning introductory, so I believe that I can quickly learn through practical tasks. I will keep looking for books.
Secondly, about Microsoft’s regression lecture
The content follows
- Introduced me to scikit-learn and jupyter notebooks, and
-
Making graphs with matplotlib
- Linear and Polynomial regression
- Intro to Logistic regression and how it is different from linear
- Linear Regression: Used when modeling the linear relationship between a dependent variable and one or more independent variables.
- Logistic Regression: Used for binary classification problems, where the goal is to classify instances into one of two classes.
Tomorrow ~ I will study lecture 3 of ML-For-Beginners and try to find interesting data or notebook in Kaggle and practice on my own.
That is all for today!
See you tomorrow :)