Blogger Jateng

# Machine Learning with Python Basics (For Beginners)

## Machine Learning with Python Basics (For Beginners)

The reader can be a beginner or an advanced learner. This tutorial has been prepared for the students as well as professionals to ramp up quickly. Learn the Basics of Machine Learning with Python (First Step For Beginners)

### What you'll learn

• You Will learn basic concept of Machine Learning, Types of Machine Learning
• You Will learn basic concept of Linear Regression With One Variable & Multiple
• You Will learn basic concept of Logistic Regression
• You Will learn basic concept of Regularization (Linear and Logistic Regression)
• You Will learn basic concept of Neural Network
• Machine Learning Projects

#### Steps of Machine Learning that you Will learn:

1. Import the data.
2. Split data into Training & Test.
3. Create a Model.
4. Train The Model.
5. Make Predictions.
6. Evaluate and improve.

#### Machine Learning Course Contents:

1. What is Machine Learning - Types of Machine Learning (Supervised & Unsupervised).
2. Linear Regression with One Variable.
3. Linear Regression with One Variable (Cost Function - Gradient Descent).
4. Linear Regression with Multiple Variable.
5. Logistic Regression (Classification).
6. Logistic Regression (Cost Function - Gradient Descent).
7. Logistic Regression (Multiclass).
8. Regularization Overfitting.
9. Regularization (Linear and Logistic Regression).
10. Neural Network Overview.
11. Neural Network (Cost Function).
12. Advice for Applying Machine Leaning.
13. Machine Learning Project 1
14. Machine Learning Project 2

#### Python Basics Course Contents:

1. How to print
2. Variables
4. Type Conversion
5. String
6. Formatted String
7. String Methods
8. Arithmetic Operations
9. Math Functions
10. If Statement
11. Logical Operators
12. Comparison Operators
13. While
14. For Loops
15. Nested Loops
16. List
17. 2D List
18. List Methods
19. Tuples
20. Unpacking
21. Dictionaries
22. Functions
23. Parameters
24. Keyword Arguments
25. Return Statement
26. Try - Except