Machine-Learning-Tutorials
Comprehensive introduction to the field of great Machine Learning
Various Categories of Jupyter Notebooks:
- Python
-
Regression
- Linear Regression with Univariate-1
- Polynomial regression with dataset-2
- Understanding the Runge phenomenon
- univariate-2 analysis
- univariate-3 analysis
- dataset-4 analysis
- dataset-5 analysis
- Power Transformations
- Pipeline
- Nonlinear regression
- Old Faithful Geyser-real data
- Multivariate regression on the Auto dataset -real data
- Califonia housing
- Murunga Leaves Project
- Diamond dataset
-
classification
-
clustering
-
Dimensionality.reduction
-
Ensemble
-
Others
35: Wine source classificationFile
36: Decision Tree, Random Forest and Support Vector MachinesFolder The California housing dataset modeled with decision tree, random-forest and support-vector machine
37: Density EstimatorsFile