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