Intermediate
Machine Learning with Python
This comprehensive course will take you from beginner to confident practitioner in Machine Learning with Python. You'll learn industry-standard techniques and best practices used by professionals worldwide. Through hands-on projects and real-world examples, you'll gain the skills needed to succeed in today's competitive tech landscape. Our curriculum is designed by industry experts with years of experience. By the end of this course, you'll have a portfolio of projects to showcase your abilities and the confidence to apply your knowledge in professional settings.
O
Oluwaseun Adeyemi
Instructor
0 students
22 lessons
Intermediate
$89.99
Curriculum
Introduction to AI Concepts
Lesson 1: Advanced Tensors Techniques
14m
Lesson 2: Gradient Descent Explained
22m
Lesson 3: Practical Neurons
8m
Lesson 4: Working with Tensors
19m
Lesson 5: Deep Dive into Feature Engineering
18m
Lesson 6: Building Gradient Descent
17m
Data Preparation & Cleaning
Lesson 1: Neurons Explained
16m
Lesson 2: Neurons Explained
23m
Lesson 3: Practical Tensors
14m
Lesson 4: Practical Neurons
16m
Lesson 5: Advanced Gradient Descent Techniques
12m
Lesson 6: Feature Engineering Fundamentals
25m
Building Your First Model
Lesson 1: Working with Classification
14m
Lesson 2: Understanding Neurons
21m
Lesson 3: Tensors Best Practices
9m
Lesson 4: Working with Tensors
15m
Lesson 5: Working with Overfitting
13m
Training & Evaluation
Lesson 1: Building Feature Engineering
18m
Lesson 2: Working with Gradient Descent
9m
Lesson 3: Feature Engineering Best Practices
9m
Lesson 4: Building Classification
18m
Lesson 5: Gradient Descent Explained
13m