# 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

About The Course :

**Machine Learning with Python Basics For Beginners**#### Steps of Machine Learning that you Will learn:

- Import the data.
- Split data into Training & Test.
- Create a Model.
- Train The Model.
- Make Predictions.
- Evaluate and improve.

#### Machine Learning Course Contents:

- What is Machine Learning - Types of Machine Learning (Supervised & Unsupervised).
- Linear Regression with One Variable.
- Linear Regression with One Variable (Cost Function - Gradient Descent).
- Linear Regression with Multiple Variable.
- Logistic Regression (Classification).
- Logistic Regression (Cost Function - Gradient Descent).
- Logistic Regression (Multiclass).
- Regularization Overfitting.
- Regularization (Linear and Logistic Regression).
- Neural Network Overview.
- Neural Network (Cost Function).
- Advice for Applying Machine Leaning.
- Machine Learning Project 1
- Machine Learning Project 2

#### Python Basics Course Contents:

- How to print
- Variables
- Receive Input from User
- Type Conversion
- String
- Formatted String
- String Methods
- Arithmetic Operations
- Math Functions
- If Statement
- Logical Operators
- Comparison Operators
- While
- For Loops
- Nested Loops
- List
- 2D List
- List Methods
- Tuples
- Unpacking
- Dictionaries
- Functions
- Parameters
- Keyword Arguments
- Return Statement
- Try - Except
- Comments
- Classes