Description
Machine Learning in Python with 5 Machine Learning Projects is a machine learning boot camp using Python where you will build 5 real world machine learning projects using Python. This course introduces you to the world of machine learning step by step. 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 the Machine Learning in Python with 5 Machine Learning Projects course:
- Theoretical discussion and practical implementation of linear regression using sklearn
- Theoretical discussion and practical implementation of logical regression using sklearn
- Feature selection using RFECV
- Data transfer using linear and logistic regression
- Evaluation criteria for performance analysis of models
- Industrial relation of linear and logistic regression
- Mathematical discussion of KNN, SVM and Naive Bayes algorithms
- Using KNN, SVM and Naive Bayes using sklearn
- Feature selection methods – Gini Index and Entropy
- The mathematics behind decision trees and random forest
- Boosting algorithms with Adaboost, Gradient Boosting and XgBoost
- Types of algorithms for classification
- Different methods for working with unbalanced data
- Refinement of relationship and variables
- PCA and LDA
- Various algorithms used for Time Series forecasting
Course details
Publisher: Udemy
Instructors: Data Is Good Academy
English language
Training level: introductory to advanced
Number of courses: 381
Duration: 24 hours and 11 minutes
Course topics on 7/2021:
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
Course introduction video:
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
Old course title: Machine Learning in Python Bootcamp with 5 Capstone Projects
download link
Password file(s): www.downloadly.ir
Size
21.1 GB
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