Learn Machine Learning in 21 Days

[LeeAndro]

Last Update: 4/2021Duration: 4h 36m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 6.14 GBGenre: eLearning | Language: English

Learn to create Machine Learning Algorithms in Python Data Science enthusiasts.​

Code templates included.

What you'll learn:
Master Machine Learning on Python
Make accurate predictions
Make robust Machine Learning models
Use Machine Learning for personal purpose
Have a great intuition of many Machine Learning models
Know which Machine Learning model to choose for each type of problem
Use SciKit-Learn for Machine Learning Tasks
Make predictions using linear regression, polynomial regression, and multiple regression
Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, etc.

Requirements
Some basic python programming experience.
Basic understanding of python libraries like numpy, pasdas and matplotlib.(Optional)

Some high school mathematics.

Description
Interested in the field of Machine Learning Then this course is for you!
This course has been designed by Code Warriors the ML Enthusiasts so that we can share our knowledge and help you learn complex theories, algorithms, and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challeg yet lucrative sub-field of Data Science.
This course is fun and exciting, but at the same , we dive deep into Machine Learning. It is structured the following way
You can do a lot in 21 Days. Actually, it's the perfect number of days required to adopt a new habit!
What you'll learn:-
1.Machine Learning Overview
2.Regression Algorithms on the real- dataset
3.Regression Miniproject
4.Classification Algorithms on the real- dataset
5.Classification Miniproject
6.Model Fine-Tuning
7.Deployment of the ML model

Who this course is for
Anyone interested in Machine Learning.
Students who have at least high school knowledge in math and who want to start learning Machine Learning.
Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
Any students in college who want to start a career in Data Science.
Any people who want to create added value to their business by using powerful Machine Learning tools.

HomePage:

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