Data Science and Machine Learning Fundamentals I

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Price: 99.99$

This course is an exciting hands-on view of the fundamentals of Data Science and Machine Learning Data Science and Machine Learning are developing on a massive scale. Everywhere you look in society, the world wide web, or in technology, you will find Data Science and Machine Learning algorithms working behind the scenes to analyze and optimize all aspects of our lives, businesses, and our society. Data Science and Machine Learning with Artificial Intelligence are some of the fastest-developing areas right now. This course will teach you the fundamentals of Data Science and Machine Learning, and has content that will teach you many new things regardless of if you are a beginner or an experienced Data Scientist. You will learn about Regression and Prediction with Machine Learning models using supervised learning. This course has one of the most complete and fundamental content packages on Udemy, with hands-on, useful practical theory, and automatic Machine Learning algorithms for model building and feature selection, and artificial intelligence. You will learn about models ranging from simple linear regression models to more advanced multivariate polynomial regression models. Classification with Machine Learning models using supervised learning. You will learn about the classification process, classification theory, and visualizations as well as some useful classifier models. Cluster Analysis with Machine Learning models using unsupervised learning. In this part of the course, you will learn about unsupervised learning, cluster theory, artificial intelligence, explorative data analysis, and 7 useful Machine Learning cluster algorithms. The fundamentals of Data Science and Machine Learning. Basic Python and Pandas for data handling. This course includesa comprehensive and easy-to-follow teaching package for basic Python and Pandas for data handling, which makes anyone able to learn the course contents regardless of beforehand knowledge of programming, tabulation software, Python, Data Science, or Machine Learning. an easy-to-follow guide for downloading, installing, and setting up the Anaconda Distribution, which makes anyone able to install the Python Data Science and Machine Learning environment for this course. content that will teach you many new things, regardless of if you are a beginner or an experienced Data Scientist. a large collection of unique content, and will teach you many new things that only can be learned from this course on Udemy. A course structure built on a proven and professional framework for learning. A compact course structure and no killing time. Is this course for you?This course is for you, regardless if you are a beginner or an experienced Data Scientist. This course is for you, regardless if you have a Ph. D. or no education or experience at all. Course requirements The four ways of counting (+-*/)Basic everyday experience with either Windows, Linux, Mac OS, or similar operating systems After completing this course, you will have Knowledge about Data Science and Machine Learning theory, algorithms, methods, best practices, and tasks. Deep hands-on knowledge of Data Science and Machine Learning, and know how to do common Data Science and Machine Learning tasks. The ability to handle and execute common Data Science and Machine Learning tasks with confidence. Basic Python and Pandas for data handling, and have knowledge about Scikit-learn, Statsmodels, Matplotlib, Seaborn, and other libraries. Detailed knowledge about Regression Prediction, Classification, and Cluster Analysis.