Experiments Gallery
Explore the collection by category or follow the sequential learning path from EXP1 to EXP10.
Category view
Category
Exploratory Analysis
Data Exploration + Outlier Scan
Histograms, box plots, and IQR-based outlier detection for California Housing features.
Correlation Mapping
Correlation heatmap and pair plot to reveal feature relationships.
Category
Dimensionality Reduction
Category
Concept Learning
Category
Semi-Supervised Learning
Category
Regression
Category
Classification
Sequential view
Follow the progression from introductory analysis to advanced clustering.
EXP1
Data Exploration + Outlier Scan
Histograms, box plots, and IQR-based outlier detection for California Housing features.
EXP2
Correlation Mapping
Correlation heatmap and pair plot to reveal feature relationships.
EXP3
PCA Dimensionality Reduction
Reduce Iris dataset from 4D to 2D and visualize class separation.
EXP4
Find-S Concept Learning
Learns the most specific hypothesis consistent with positive examples.
EXP5
Semi-Supervised KNN Labeling
Labels unlabeled data using KNN and compares accuracy across k values.
EXP6
Locally Weighted Regression
Fits non-parametric curves with varying bandwidth values.
EXP7
Linear vs Polynomial Regression
Compares linear and polynomial regression on housing and auto MPG data.
EXP8
Decision Tree Classification
Builds a decision tree to classify breast cancer samples.
EXP9
PCA + Naive Bayes Faces
Classifies Olivetti faces using PCA + Gaussian Naive Bayes.
EXP10
K-means Clustering + PCA
Clusters Wisconsin breast cancer data and visualizes in PCA space.