README.md

CSE4212 Machine Learning Lab

Name: Shakil Hossan
28th batch, dept. of CSE
University of Rajshahi

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📘 Supervised Learning

1. Linear Regression

   • Linear Regression with L1 and L2 Regularization.ipynb

2. Logistic Regression

   • Logistic Regression.ipynb

3. Naive Bayes Classifier

   • Naive Bayes Classifier.ipynb

4. Decision Tree

   • DecisionTree.ipynb

5. Random Forest

   • Binary Classification: random_forest_binary_classification.ipynb
   • Multi-class Classification: random_forest_multiclass_classification.ipynb
   • Regression: random_forest_regression.ipynb

6. Support Vector Machine (SVM)

   • support_vector_machine.ipynb

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📗 Unsupervised Learning

1. K-Means Clustering

   • k-means_cluster.ipynb

2. Hierarchical Clustering

   • hierarchical_clustering.ipynb

3. DBSCAN

   • dbscan.ipynb

4. Expectation-Maximization (Coin Flip Example)

   • expectation_maximization_coin_flip.ipynb

5. Gaussian Mixture Model (GMM)

   • Gmm.ipynb

6. Principal Component Analysis (PCA)

   • pca.ipynb

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