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Machine learning with Python
Study notes on supervised and unsupervised learning, evaluation and deep learning.
Pre-basic concepts
Core concepts
- Simple explanation of the tokenization process
- Getting started with machine learning models
- Getting started with clustering (unsupervised learning) in Python
- Getting started with regression (supervised learning) in Python
- Getting started with classification (supervised learning) in Python
- Key concepts of ensemble methods in ML
- Understanding the basics of ROC curves
Evaluating models
Deep learning
Algorithms
- Exploring K-means algorithm basic concepts
- Exploring Hierarchical Agglomerative Clustering (HAC) basics
- Exploring Density-based (DBSCAN) ML algorithm basic concepts
- Exploring k-medoids (PAM) algorithm basic concepts
- Exploring the KNN classifier algorithm basic concepts
- Explore Support vector machines (SVMs) algorithm basic concepts