Machine Learning

The folder named Bank contains an assorted collection of questions in machine learning. All questions have answers, some may have hints and solutions. The syllabus for this topic is given below:

• Supervised Learning
  • Regression
    • Simple linear regression,
    • Multiple linear regression,
    • Ridge regression
  • Classification
    • Logistic regression
    • K-NN
    • Naive Bayes
    • Linear discriminant analysis (LDA)
    • Support vector machines (SVM)
    • Decision trees
    • Multi-layer perceptron (MLP)
    • Feed-forward neural network (ANN)
  • Bias-variance trade-off
  • Cross-validation
    • Leave-one-out (LOO) cross-validation
    • K-fold cross-validation
• Unsupervised Learning
  • Clustering algorithms
    • k-means
    • k-medoid,
    • hierarchical clustering
      • top-down
      • bottom-up
      • single-linkage
      • multi-linkage
  • Dimensionality reduction
    • principal component analysis.