# List of sections

- [Introduction to scikit-learn](sklearn-introduction.md)
- [Binomial Distribution](binomial-distribution.md)
- [Regression in Machine Learning](regression.md)
- [Polynomial Regression](polynomial-regression.md)
- [Confusion Matrix](confusion-matrix.md)
- [Decision Tree Learning](decision-tree.md)
- [Random Forest](random-forest.md)
- [Support Vector Machine Algorithm](support-vector-machine.md)
- [Artificial Neural Network from the Ground Up](ann.md)
- [Introduction To Convolutional Neural Networks (CNNs)](intro-to-cnn.md)
- [TensorFlow.md](tensorflow.md)
- [PyTorch.md](pytorch.md)
- [Ensemble Learning](ensemble-learning.md)
- [Types of optimizers](types-of-optimizers.md)
- [Logistic Regression](logistic-regression.md)
- [Types_of_Cost_Functions](cost-functions.md)
- [Clustering](clustering.md)
- [Hierarchical Clustering](hierarchical-clustering.md)
- [Grid Search](grid-search.md)
- [Transformers](transformers.md)
- [K-Means](kmeans.md)
- [K-nearest neighbor (KNN)](knn.md)
- [Naive Bayes](naive-bayes.md)
- [Neural network regression](neural-network-regression.md)
- [PyTorch Fundamentals](pytorch-fundamentals.md)