Download Udemy – Machine Learning AZ™: AI, Python and MLOps 2023-6

Description

Machine Learning AZ course: AI Python and MLOps. Are you interested in machine learning? Then this course is suitable for you! This course is designed by a data scientist and a machine learning expert so that we can share our knowledge and help you learn complex theories, algorithms and coding libraries in a simple way. Over 900,000 students worldwide trust this course. We will take you step by step into the world of machine learning. With each tutorial, you’ll develop new skills and improve your understanding of this challenging yet rewarding subfield of data science. This course can be completed by doing Python tutorials, or R tutorials, or both – Python & R. Choose the programming language you need for your career. This course is fun and exciting while we dive deep into machine learning. Its structure is as follows:

Part 1 – Data preprocessing
Part 2 – Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
Part 3 – Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Simple Bayes, Decision Tree Classification, Random Forest Classification
Part 4 – Clustering: K-Means, Hierarchical Clustering
Part 5 – Teaching the Rules of Society: Apriori, Eclat
Section 6 – Reinforcement Learning: Upper Confidence Limits, Thompson Sampling
Section 7 – Natural Language Processing: Word Set Models and Algorithms for NLP
Part 8 – Deep learning: artificial neural networks, convolutional neural networks
Part 9 – Dimensionality Reduction: PCA, LDA, Kernel PCA
Part 10 – Model selection and boosting: k-fold cross-validation, parameter tuning, network search, XGBoost

Each section within each section is independent. So you can take the entire course from start to finish, or you can go straight to any specific section and learn what you need for your career right now. In addition, the course is packed with practical exercises that are based on real case studies. So not only will you learn the theory, but you will also have lots of practical exercises to build your own models. This course includes both Python and R code templates that you can download and use in your projects.

What you will learn in Machine Learning AZ: AI Python and MLOps course

Know which machine learning model to choose for each type of problem
Perform robust analysis
Have great intuition from many machine learning models
Professor of machine learning in Python and R

This course is suitable for people who

Anyone interested in machine learning.
Anyone who isn’t comfortable with coding but is interested in machine learning and wants to easily apply it to datasets.
Intermediate people who know the basics of machine learning, including classic algorithms like linear regression or logistic regression, but want to learn more and explore all the different areas of machine learning.
All people who are not satisfied with their jobs and want to become scientists.
Students who have at least a high school background in mathematics and want to start learning machine learning.
Anyone who isn’t comfortable with coding but is interested in machine learning and wants to easily apply it to datasets.