Learn Machine Learning from Scratch with Python

Machine Learning from Scratch using Python

Machines are now learning, why aren't you?

Created by : Rated :4.6 9599 views

Last Updated: 2024-11-18 05:11:08 English Course Type: Self Learning

Great knowledge of Machine Learning and Deep Learning Algorithms.
Work on real case studies
5 projects to work on which can be easily put up on resume for better placements.
Build your own ML Algorithm, Models and Predictions.

This course is for those who want to step into Artificial Intelligence domain, specially into Machine Learning, though I will be covering Deep Learning in deep as well.

This is a basic course for beginners, just if you can get basic knowledge of Python that would be great and helpful to you to grasp things quickly. If you want to take python lectures I have created a ' Python for Data Science from Scratch ' course also , you can enroll and go through that as well before starting with this.

There are 4-5 Projects on real data set which will be very helpful to start your career in this domain, Right now if you don't see the project, don't panic, it might have gone old so I've put it down for modifications.

Enjoy and Good Luck.

Basic Python, Mathematics and Statistics are the prerequisites for this course, however I will be covering everything.

Beginner or Stepping into AI, ML, DL domain with 4-5 Projects on real data set.

Section 1 : Unpublished Section 14 Lectures 00:16:02
Lecture 1 :
Introduction to Artificial Intelligence Preview
Lecture 2 :
Introduction to Machine Learning with Supervised and Un-Supervised Learning.
Lecture 3 :
ML : KNN( Lp Norms )
Lecture 4 :
ML : KNN ( Euclidean and Manhattan Distance)
Lecture 5 :
ML : KNN ( Minkowski, Hamming and Cosine Distance )
Lecture 6 :
ML : Over and Under Fitting( Cross Validation and K-Fold CV )
Lecture 7 :
Project 1 : Creating the First Model using KNN and finding the Accuracy.
Lecture 8 :
ML : Linear Regression
Lecture 9 :
Project 2 : based on SIMPLE LINEAR REGRESSION
Lecture 10 :
Project 3 : based on MULTIPLE LINEAR REGRESSION
Lecture 11 :
ML : HYPOTHESIS TESTING ( Statistics Fundamentals )
Lecture 12 :
ML : Decision Tree with Gini Index
Lecture 13 :
ML : Decision Tree with Information Gain
Lecture 14 :
Project 4 : CASE STUDY based on DECISION TREE

How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time.
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly.
Do i get any certificate for the courses?
Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
For how long can i access my course on the platform?
You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions.
Is there any free trial?
Currently, we do not offer any free trial.
Can i cancel anytime?
Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?

Saheb Singh chaddha,

262742 Course Views

6 Courses

Hello guys, How are you all doing? So a quick introduction of me, well I am a Big Data Expert and Data Scientist, I have 3 years of experience on these domain in companies as well as a trainer. My teaching method is completely different than others like I am not a slide reader, I use analogies and examples a lot to explain things and mostly try to be practical which you'll see in the course. Hope to see you all in the lectures, Good Luck!