Description
Machine Learning for Beginner (AI) – Data Science, a machine learning course for beginners is published by Udemy Academy. Learn machine learning from scratch. This course is for beginners who want to learn the basics of machine learning and artificial intelligence. This course includes video explanations with introduction (basics), detailed theory and graphic explanations. Some daily life projects have been solved using Python programming. Downloadable files of e-books and Python codes are attached to all sections. Lectures are attractive, fancy and fast. They spend less time guiding you through the entire content.
Each topic is taught extensively and deeply to cover all possible areas to understand the concept in the easiest possible way. Highly recommended for students who do not know the basics of machine learning and are studying at the college and university level. The purpose of this course is to explain machine learning and artificial intelligence in a very simple and understandable way. All code is done through colab which is an online editor. Python continues to be a popular choice among many companies and organizations. Python has a reputation as a beginner-friendly language, replacing Java as the most widely used introductory language because it handles many of the complexities for the user, allowing beginners to focus on a thorough understanding of programming concepts rather than details. do
What you will learn
- principles of machine learning; Introduction, types of machine learning, applications
- Supervised, unsupervised and reinforcement learning
- principal component analysis (PCA); Introduction, mathematical and graphic concepts
- Confusion matrix, underfitting and overfitting, machine model classification and regression
- Support Vector Machine (SVM) classification. Introduction, linear and non-linear SVM model, optimal hyperplane, kernel trick, project in Python
- K-Nearest Neighbors (KNN) classification; Introduction, k-value, Euclidean and Manhattan distance, outliers, project in Python
- simple Bayes classifier; Introduction, Biz Law, Project in Python
- Logistic regression classification. Introduction, non-linear logistic regression, sigmoid function, project in Python
Who is this course suitable for?
- Beginner machine learning developers who are curious about machine models
Details of the Machine Learning for Beginner (AI) – Data Science course
- Publisher: Udemy
- teacher : Moein Ud Din
- English language
- Education level: introductory
- Number of courses: 67
- Training duration: 6 hours and 51 minutes
At the beginning of the course seasons on 2-2-2022
Course prerequisites
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.56 GB
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