Machine Learning A-Z With Python With Project (Beginner)

 

What you’ll learn

• Master Machine Learning on Python
• Make powerful analysis
• Make accurate predictions
• Make robust Machine Learning models
• Use Machine Learning for personal purpose
• Build an army of powerful Machine Learning models and know how to combine them to solve any problem
• Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
• Clean your input data to remove outliers

Requirements

• No prior experience needed, you will learn what is needed. (A basic python knowledge will definetly increase your chances of learning fast))

Description

Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average! And it’s not just about money – it’s interesting work too!

If you’ve got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry – and prepare you for a move into this hot career path.

Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon. It’s then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference. You won’t find academic, deeply mathematical coverage of these algorithms in this course – the focus is on practical understanding and application of them. At the end, you’ll be given a final project to apply what you’ve learned!

                                          Free Download