Udemy - Machine Learning in Python with 5 Machine Learning Projects
machine learning

Udemy – Machine Learning in Python with 5 Machine Learning Projects

Description

Machine Learning in Python with 5 Machine Learning Projects is a Python machine learning training boot camp in which you will build 5 real-world machine learning projects using Python. This step-by-step course introduces you to the world of machine learning. Machine learning is the science of computer algorithms used to automate model analysis and is also a branch of artificial intelligence.

What you will learn in Machine Learning in Python with 5 Machine Learning Projects:

  • Theoretical discussion and practical implementation of linear regression using sklearn
  • Theoretical discussion and practical implementation of logical regression using sklearn
  • Characterization using RFECV
  • Data transfer using linear and logistic regression
  • Evaluation criteria for analyzing the performance of models
  • Industrial relationship of linear and logistic regression
  • Mathematical discussion of KNN, SVM, and Naive Bayes algorithms
  • Employing KNN, SVM, and Naive Bayes using sklearn
  • Feature selection methods – Gini Index and Entropy
  • Mathematics behind Decision trees and random forest
  • Boost algorithms with Adaboost, Gradient Boosting, and XgBoost
  • Types of algorithms for categorization
  • Different methods for working with unbalanced data
  • Refinement of relationships and variables
  • PCA and LDA
  • Various algorithms used for Time Series forecasting

Course specifications

Publisher: Udemy
Instructors:  Data Is Good Academy
Language: English
Education level: Basic to advanced
Number of courses: 381
Duration: 24 hours and 11 minutes

See Also:

Udemy – Data Analysis Masterclass (4 courses in 1) 2021-6

Udemy – Learn Full-Stack Vue, .NET Core, PostgreSQL Web Development 2020-7

Udemy – 100 Days of JavaScript 2021-5

Learn How to Build Responsive Real-World Websites with HTML and CSS 2021-7

Udemy – CCNA 200-301 Video Boot Camp with Chris Bryant

Course topics on 2021/7:

machine learning

Course prerequisites:

To make sense out of this course, you should be well aware of linear algebra, calculus, statistics, probability, and python programming language.

Pictures

machine learning

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

Old course title: Machine Learning in Python Bootcamp with 5 Capstone Projects

download link

Download section 1 – 3 GB
Download Part 2 – 3 GB
Download section 3 – 3 GB
Download section 4 – 3 GB
Download section 5 – 3 GB
Download section 6 – 3 GB
Download Section 7 – 3 GB
Download section 8 – 147 MB
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