Description
Machine Learning in Python with 5 Machine Learning Projects is a Python machine learning training boot camp where you will create 5 real 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 the analysis of patterns 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 by RFECV
- Data transfer by linear and logistic regression
- Evaluation criteria for analyzing model performance
- Industrial relation of linear and logistic regression
- Mathematical discussion of KNN, SVM and Naive Bayes algorithms
- Using KNN, SVM and Naive Bayes with sklearn
- Feature selection methods – Gini index and entropy
- Mathematics behind Decision Trees and the Random Forest
- Boost algorithms with Adaboost, Gradient Boosting and XgBoost
- Types of Categorization Algorithms
- Different methods for working with unbalanced data
- Refinement of relations and variables
- PCA and LDA
- Various algorithms used for time series forecasting
Course specifications
Publisher: Udemy
Instructors: Data is good Academy
French language
Education Level: Basic to Advanced
Number of courses: 381
Duration: 24 hours and 11 minutes
Course topics on 2021/7:
Course prerequisites:
To make sense of this course, you should be familiar with linear algebra, calculus, statistics, probability, and the Python programming language.
Pictures
Course presentation video:
Installation guide
After ripping, watch with your favorite player.
english subtitle
Quality: 720p
Title of the old course: Machine Learning in Python Bootcamp with 5 Capstone Projects
Download link
File password(s): ngaur.com
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21.1 GB