Data Science Intermediate

Machine Learning with Python

Comprehensive machine learning course covering algorithms, model training, and deployment.

Mike Johnson

30 lessons

6 modules

$199.99

About This Course

Comprehensive machine learning course covering algorithms, model training, and deployment.

What You'll Learn

Supervised learning algorithms

Unsupervised learning

Neural networks

Model evaluation

Feature engineering

Model deployment

Course Curriculum

Introduction

10 min

Free Preview

Core Concepts

15 min

Locked

Practical Examples

20 min

Locked

Best Practices

12 min

Locked

Summary and Next Steps

8 min

Locked

Introduction

10 min

Free Preview

Core Concepts

15 min

Locked

Practical Examples

20 min

Locked

Best Practices

12 min

Locked

Summary and Next Steps

8 min

Locked

Introduction

10 min

Free Preview

Core Concepts

15 min

Locked

Practical Examples

20 min

Locked

Best Practices

12 min

Locked

Summary and Next Steps

8 min

Locked

Introduction

10 min

Free Preview

Core Concepts

15 min

Locked

Practical Examples

20 min

Locked

Best Practices

12 min

Locked

Summary and Next Steps

8 min

Locked

Introduction

10 min

Free Preview

Core Concepts

15 min

Locked

Practical Examples

20 min

Locked

Best Practices

12 min

Locked

Summary and Next Steps

8 min

Locked

Introduction

10 min

Free Preview

Core Concepts

15 min

Locked

Practical Examples

20 min

Locked

Best Practices

12 min

Locked

Summary and Next Steps

8 min

Locked

Machine Learning with Python

About This Course

What You'll Learn

Course Curriculum

Introduction

Introduction

Core Concepts

Practical Examples

Best Practices

Summary and Next Steps

Core Concepts

Introduction

Core Concepts

Practical Examples

Best Practices

Summary and Next Steps

Advanced Topics

Introduction

Core Concepts

Practical Examples

Best Practices

Summary and Next Steps

Practical Applications

Introduction

Core Concepts

Practical Examples

Best Practices

Summary and Next Steps

Best Practices

Introduction

Core Concepts

Practical Examples

Best Practices

Summary and Next Steps

Final Project

Introduction

Core Concepts

Practical Examples

Best Practices

Summary and Next Steps

Lesson Preview