Machine Learning- From Basics to Advanced
A beginners guide to learn Machine Learning (including Hands-on projects – From Basic to Advance Level)
What you’ll learn
Learn how to use NumPy, to do fast mathematical calculations in machine learning.
Learn what is Machine Learning and Data Wrangling in machine learning.
Learn how to use scikit-learn for data-preprocessing in machine learning.
Learn different model selection and feature selections techniques in machine learning.
Learn about cluster analysis and anomaly detection in machine learning.
Learn about SVMs for classification, regression and outliers detection in machine learning.
Basic knowledge of scripting and programming
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