Machine Learning Practical 6 Real-World Applications Free Download. Machine Learning – Get Your Hands Dirty by Solving Real Industry Challenges with Python
Table of Contents
Machine Learning Practical 6 Real-World Applications Description
Requirements
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You need to know Python (Machine Learning A-Z level is enough) in order to complete this course.
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You need to know how to set up your working environment (Anaconda, Jupyter Notebook, Spyder)
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This should not be your first Machine Learning course. You need to understand main concepts.
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What you’ll learn
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You will know how real data science project looks like
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You will be able to include these Case Studies in your resume
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You will be able better market yourself as a Machine Learning Practioneer
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You will feel confident during Data Science interview
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You will learn how to chain multiple ML algorithms together to achieve the goal
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You will learn most advanced Data Visualization techniques with Seaborn and Matplotlib
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You will learn Logistic Regression
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You will learn L1 Regularization (Lasso)
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You will learn Random Forest Classifier
Who this course is for:
- Data Science and Machine Learning enthusiasts who want to understand how real data science projects look like.
- Anyone with Machine Learning and Python knowledge who wants to practice their skills
Machine Learning Practical 6 Real-World Applications Free Download
Content From: https://www.udemy.com/course/machine-learning-practical/
