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Machine Learning From Basic to Advanced (Udemy.com)

Learn to create Machine Learning Algorithms in Python Data Science enthusiasts. Code templates included.

4.0
927 reviews

Created by: Code Warriors

Last updated August 2021

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What you will 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.

How it compares

Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:

  • Rating4.0 out of 5higher than 16% of them
  • Reviews927#58 of 156 by number of reviews
  • Length3 hoursshorter than 77% of them
  • Last updatedAugust 2021earlier than 58% of them

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Course Description

Are you ready to start your path to becoming a Machine Learning Engineer!

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Machine Learning as well as Data Scientist!

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 challenging yet lucrative sub-field of Data Science.

This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way:

  • Part 1 - Data Preprocessing

  • Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression.

  • Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification

  • Part 4 - Clustering: K-Means, Hierarchical Clustering.

And as a bonus, this course includes Python code templates which you can download and use on your own projects.
Read More Beginner Beginner Level product length iconTime: 3h

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Instructor Details

Code Warriors

Hi, We are Code Warriors an E learning organisation . This is our Udemy Handle where we will provide you some awesome courses with very basic price. The courses will be very much informative and you will enjoy a lot. We focus on your learning in an enjoying manner so you don't get bored.

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Reviews

4.0

927 ratings on Udemy

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By Sai Jashwanth on 7/21/2024

The course is more handson and practical.It is better if it would be more theoretical so we can understand more better about ML algorithms

By Emil Gravier on 10/29/2023

There is only an explanation on how the ML concepts work but no explanation on when to use them. It seems very weird to use some regression algorithms on the datasets that are presented.

By Shyam Kumar Reddy Kalla on 5/4/2023

little more explaination and advanced topics should be expected. took basic questions which are readily available on internet.

By Sandipan Maiti on 7/31/2022

as a student of statistics, I have prior knowledge of clustering, regression, etc. that are explained in this course even better to somewhat I knew. But I was expecting an even better approach to know machine learning, like in mathematical structure, and the ways of coding for AI and ML when it told that the course is from basic to advanced

By Maheshbabu Chappidi on 6/2/2022

Yes it was a good match for me. To learn more about this machine learning from basic to Advanced program course which the platform udemy is provoding.

By Shaury rawat on 2/5/2022

I don't think that i was good but when i start learning i was osm experience #Thank_you_udemy

By Tim Lang on 12/20/2021

I take a ton of Udemy classes. This class is really good. It's clear and to the point on how to use ML. There can be improvements like using Jupyter notebooks, deployments, how to better use predictions, and accuracy scoring. But overall, this course really hit home for me with how easy it was to learn. Thank you!

By Harshita Mittal on 9/17/2020

It really was a good match for me. Best course for a quick revision so far. Instructor explained every line and word of the program, which can be really helpful for beginners. All in all, great experience.

By Yamini Warke on 7/15/2020

Explanation about code is good. concept explanation but why standardization used ?why not normalization needs to elaborate more

By Srinjoy Chatterjee on 7/12/2020

Not a very descriptive course. Okay for those who just want to know the code to create the models. No proper explanation/intuition provided for the theory behind the models.

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Overall Score : 80 / 100

Machine Learning From Basic to Advanced
Visit course on Udemy Write a review
  • Video Duration: icon 3h
  • Price: See price on Udemy
  • Provider: icon Udemy
  • Updated: icon August 2021
  • Level: Beginner Beginner
  • Language: icon English
  • Certificate: icon Yes
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