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Overview
Harness The Power Of Machine Learning For Unsupervised & Supervised Learning In Python What you'll learn: Harness The Power Of Anaconda/i Python For Practical Data Science Read In Data Into The Python Environment From Different Sources Carry Out Basic Data Pre-processing & Wrangling In Python Implement Unsupervised/Clustering Techniques Such As k-means Clustering Implement Dimensional Reduction Techniques (PCA) & Feature Selection Implement Supervised Learning Techniques/Classification Such As Random Forests In Python Neural Network & Deep Learning Based Classification HERE IS WHY...
Syllabus
- INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools
- Read in Data From Different Sources With Pandas
- Data Cleaning & Munging
- Unsupervised Learning in Python
- Dimension Reduction & Feature Selection for Machine Learning
- Supervised Learning: Classification
- Neural Networks and Deep Learning Based Classification Techniques
- Miscellaneous Information
Instructor
Minerva Singh
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