Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
- Linear Regression
- Gradient Descent and Cost Function
- Train_Test_Split
- Logistic Regression
- One Hot Encoding
- Confusion Matrix
- Feature Scaling
- K-Nearest Neighbors
- Decision Tree, Random Forest
- Naive_Bayes_Algorithm
- Support Vector Machine
- Cross Validation
- Hyperparameter Optimization
- K-Means Clustering
- Hierarchical Clustering
- Distance Metrices
- Principal Component Analysis (PCA)
- Save and Load models
- Outlier Detection
- Handle Imbalanced Datasets
- Batch Learning and Online Learning
- Feature Selection
- Ensemble Learning