×
Create CV Books Summaries Online Courses Blog Communities

Login

Sign up
MindLuster Logo
Categories
Recent

Join Our Telegram Channel Now to Get Any New Free Courses : Click Here

Introduction to Machine Learning week 2 Practice quiz answers Duke University Solutions Hub

Share your inquiries now with community members Click Here
Previous Lesson Next Lesson
Sign Up and Get Free Certificate
Sign up Now
Lesson extensions

Lessons List | 10 Lesson

Comments

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

We Appreciate Your Feedback

Be the First One Review This Course

Excellent
0 Reviews
Good
0 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
0
0 Reviews
daffa tri jayawinata

now i know 2025-07-28

Sajjad Ali Shah

Awesome Site 2025-06-04

Eyerusalem Welay

thank you 2025-06-01

Lerato

i complited the fundamentals of ML and it was an eye openning course, i am interested in deploma course now thanks to mindluster to give me such an information 2025-03-04

VASUNDHRA G

good class 2025-02-04

Mohammad Zaid

... 2025-01-11

Shubham Parsoya

Machine learning foundations 2025-01-10

Muskan Gupta

its good 2025-01-08

M.DATTA SAI MAHESH

its a amazing course 2024-12-26

Sarmithi Shanmugam

It's good and helpful 2024-12-23

Sangesh A

Good 2024-12-19

GOLLURI TEJA

Excellent 2024-12-19


Related Courses in Computer Science
Linear Algebra for Computer Scientists
7 Lessons

Linear Algebra for Computer Scientists

Insertion Sort
3 Lessons

Insertion Sort

Bubble Sort
4 Lessons

Bubble Sort

GCSE Computer Science
18 Lessons

GCSE Computer Science

Random Access Memory
7 Lessons

Random Access Memory

Binary Trees
4 Lessons

Binary Trees

Bitwise Operators
4 Lessons

Bitwise Operators

Introduction to Stacks Data Structures
17 Lessons

Introduction to Stacks Data Structures

Organization Theory Structure and Design
41 Lessons

Organization Theory Structure and Design

Handling Large Scale Unit Level Data
41 Lessons

Handling Large Scale Unit Level Data

Introduction to Machine Learning
19 Lessons

Introduction to Machine Learning

Applied Linear Algebra Vectors Matrices
54 Lessons

Applied Linear Algebra Vectors Matrices

Artificial Intelligence beginners
1 Lessons

Artificial Intelligence beginners

Machine Learning Autumn 2018
1 Lessons

Machine Learning Autumn 2018

Robotics and Autonomous Systems
15 Lessons

Robotics and Autonomous Systems

Natural Language Understanding
15 Lessons

Natural Language Understanding

Course Description

Machine learning foundations, in this course is designed to provide a comprehensive introduction to the core concepts and techniques in machine learning. In this course, you will learn the fundamentals of supervised and unsupervised learning, linear regression, logistic regression, and neural networks. Explore key topics such as feature engineering, overfitting, bias-variance tradeoff, and optimization techniques like gradient descent. The course emphasizes practical applications, enabling you to build predictive models and solve real-world problems. With hands-on projects and clear explanations, you’ll gain the foundational knowledge needed to advance in the field of machine learning, preparing you for more advanced studies or industry roles.
Trends
Recent
Previous Lesson Next Lesson