Descriptions
Machine Learning for Beginners (AI) – Data Science. Learn machine learning from scratch. This course is for beginners who want to learn the basics of machine learning and artificial intelligence. The course includes video explanations with an introduction (the basics), detailed theory, and graphic explanations. Some daily life projects have been solved using Python programming. All sections come with downloadable eBooks and Python code files. The lectures are interesting, interesting and fast. It will take them less time to introduce you to all the content. Each topic is studied in great detail to cover all possible areas and make the concept as easy to understand as possible.
Highly recommended for students who do not know the basics of machine learning studying in colleges and universities. The goal of this course is to explain machine learning and artificial intelligence in a very simple and understandable language. I strive for simplicity and precision in every definition and code I publish. All codes were written using colab, an online editor. Python remains a popular choice among many companies and organizations. Python has a reputation for being a beginner-friendly language, replacing Java as the most widely used introductory language as it takes most of the complexity out of the equation for the user, allowing beginners to focus on fully understanding programming concepts rather than the nitty-gritty details.
What will you learn
- Fundamentals of Machine Learning; Introduction, types of machine learning, applications
- Supervised, unsupervised and reinforcement learning
- Principal Component Analysis (PCA); Introduction, mathematical and graphical concepts
- Confusion matrix, underfitting and overfitting, machine model classification and regression.
- Support Vector Machine (SVM) classifier; Introduction, Linear and Nonlinear SVM Model, Optimal Hyperplane, Kernel Trick, Python Project
- K-nearest neighbors (KNN) classifier; Introduction, k value, Euclidean and Manhattan distances, outliers, Python project
- Naive Bayes classifier; Introduction, Bayes’ rule, Python project
- Logistic regression classifier; Introduction, nonlinear logistic regression, sigmoid function, Python project
- Decision tree classifier; Introduction, Python project
Who is this course for?
- Aspiring machine learning developers are interested in a machine model
Machine Learning for Beginners (AI) Specification – Data Science
- Publisher: Udemy
- Teacher: Moein Oud Din
- English language
- Level: Beginner
- Number of courses: 67
- Duration: 6 hours 51 minutes
Content for 2022-2
Requirements
Images
Sample clip
Installation instructions
Extract the files and watch on your favorite player
Subtitles: English
Quality: 720p
Download links
Password file(s): free download software
file size
3.56 GB