Machine Learning From Scratch In Python - Full Course With 12 Algorithms (5 HOURS)

Course Overview

​ - Introduction
​ - 1 KNN
​ - 2 Linear Regression
​ - 3 Logistic Regression
​ - 4 Regression Refactoring
​ - 5 Naive Bayes
​ - 6 Perceptron
​ - 7 SVM
​ - 8 Decision Tree Part 1
​ - 9 Decision Tree Part 2
​ - 10 Random Forest
​ - 11 PCA
​ - 12 K-Means
​ - 13 AdaBoost
​ - 14 LDA
​ - 15 Load Data From CSV

(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
This Machine Learning From Scratch In Python - Full Course With 12 Algorithms (5 HOURS) course is an excellent way to learn the fundamentals of machine learning. Learners will be introduced to the basics of machine learning, including KNN, Linear Regression, Logistic Regression, Regression Refactoring, Naive Bayes, Perceptron, SVM, Decision Tree Part 1 and 2, Random Forest, PCA, K-Means, AdaBoost, and LDA. Additionally, learners will learn how to load data from CSV files. This course is perfect for those who are new to machine learning and want to gain a comprehensive understanding of the subject. It is also suitable for those who are already familiar with machine learning and want to expand their knowledge. With this course, learners will gain the skills and knowledge necessary to build and deploy machine learning models.