Complete Machine Learning Course for Beginners – in Python

Learn how to create your Algorithms based on data science. Machine learning, deep learning and artificial intelligence

Created by Lukas Ogiermann | 6 hours on-demand video course

In this course, you as a beginner will be guided through all relevant fields of Alorgythms and Artificial Intelligence in Python in a practice-oriented way, so that you can finally program your AI with Python 3.9 (the latest version) without errors. We’ll focus here on machine learning and deep Learning

Your lecturer in this course is Vivien. She has been a Python and Java programmer for 7 years and works at a software company for cyber security. In this course, Vivien shares all she knows about what beginners need to know to get started successfully in machine learning and make as few mistakes as possible. Vivien’s goal in this course is to provide you with strong tools and a solid foundation in Python/Machine learning for your future programming experience. This is why the course also relies on theory to make the basic concepts of machine learning understandable in order to apply them later in this course. The machine learning course covers everything you need to know as a beginner in Python and machine learning itself to successfully write your first programs and codes.

What you’ll learn

• Master Machine Learning on Python
• Learn the basics of Python
• Create robust Machine Learning models
• Learn supervised and unsupervised machine learning
• Make strong analysis
• Handle powerful topics like Reinforcement Learning, NLP and Deep Learning
• Learn to use different libraries for Data Analysis
• Get in touch with Decision Trees
• Linear Regression and Logistic Regression
• Statistics and probability
• Neural Networks

Recommended Course

Machine Learning A-Z™: Hands-On Python & R In Data Science [2022 Edition]

Machine Learning: Natural Language Processing in Python (V2)

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