Under this repository, I want to share my journey with Machine Learning Algorithms. The goal is to develop ready-to-use templates for Data Science Projects and present them to other developers. The topics will be shared here:
- Supervised Learning
- Regression Models
- Linear Regression
- Polynomial Regression
- Support Vector Regression
- Decision Tree Regression
- Random Forest Regression
- Classification Models
- Logistic Regression
- K-Nearest Neighbors
- Support Vector Machine
- Kernel Support Vector Machine
- Naive Bayes
- Decision Tree Classification
- Random Forest Classification (Hyperparameter Tuning)
- LightGBM Classification with Feature Selection and Hyperparameter Tuning
- Credit Card Fraud studies
- Regression Models
- Unsupervised Learning
- Clustering
- Association Rule Learning
- Reinforcement Learning
- Natural Language Processing