Step by Step Guide to Machine Learning
A beginners guide to learn Machine Learning including Hands on from scratch.
What you’ll learn
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Learn how to use NumPy to do fast mathematical calculations
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Learn what is Machine Learning and Data Wrangling
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Learn how to use scikit-learn for data-preprocessing
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Learn different model selection and feature selections techniques
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Learn about cluster analysis and anomaly detection
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Learn about SVMs for classification, regression and outliers detection.
Requirements
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Basic knowledge of scripting and programming
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Basic knowledge of python programming
Who this course is for:
- Beginners who want to become a data scientist
- Software developers who want to learn machine learning from scratch
- Python developers who are interested to learn machine learning
- Professionals who want to start their career in Machine Leaning
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