machine learning techniques
I will be exploring various machine learning techniques and applying them to real-world dataset.
Supervised learning comprises of classification and regression techniques, while unsupervised learning comprises of clustering.
Some of the classification techniques include:
- Naive Bayes
- Nearest Neighbor
- Support Vector Machine
Some of the regression techniques include:
- Linear/logistic Regression
- Decision Trees
- Ensemble Methods (Neural Networks)
Some of the classification techniques include:
- K-Means
- Hierarchical & Gaussian Mixture
- Hidden Markov Model (Neural Networks)