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Overview
A beginners guide to learn Machine Learning (including Hands-on projects - From Basic to Advance Level) What you'll learn: Learn how to use Num Py, 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,...
Syllabus
- Introduction to Machine Learning & Data Wrangling
- Linear Models, Trees & Preprocessing
- Model Evaluation, Feature Selection & Pipelining
- Bayes, Nearest Neighbours & Clustering
- SVM, Anomalies, Imbalanced Classes, Ensemble Methods
Instructor
EdYoda for Business
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