Relevant Coursework 46
- Kannada Digit Classifier
- Volume Rendering Dataset Loader (VTI)
- Depth Estimation from Stereo Disparity and Astronomical Parallax
- Storm Field Isocontours (Temp & Pressure)
- RANSAC, Homography Estimation, and Keypoint Matching
- CIFAR-10 Image Classification
- Treemap Layout Modes (Flare Dataset)
- K-Means Image Segmentation with RGB, Position, and Texture Features
- Iris Flower Parallel Coordinates Explorer
- SIFT Feature Matching, Error Metrics, and Lowe Ratio Filtering
- PCA & Naive Bayes Implementations
- Image Gradient, Edge Detection, and Gaussian Filtering
- Color Constancy and Illuminant Estimation
- Penguin Trait Explorer (Brushed Scatterplots)
- Statistical & Predictive Analysis of Lake Ice Cover Data
- Photometric Stereo and Depth Map Reconstruction
- Hurricane Isabel Scalar & Bivariate Colormaps
- Camera Calibration and Lambertian Rendering
- SAT–ACT–GPA Colormap Explorer
- Camera Coordinate Fitting
- Decision Trees and k-NN on Synthetic Data
- D3 Visualization Suite: UK Driver Fatalities & Calvin College Test Scores
- SVG Scatterplot Gallery: SAT, ACT & GPA Correlations
- Least Squares Fitting
- Exploring 2D Gaussian Distributions with NumPy
- SVG Chart Playground: Bars, Lines & Pie in Action
- Binary Classification of Online Sexism
- Multiclass Classification on the Iris Dataset
- Regression Model Selection and Evaluation on the Prostate Cancer Dataset
- Supervised Classification Models on Real-World Datasets
- Statistical Inference and Exploratory Data Visualization
- Applied Probability, Statistical Estimation, and Simulation Techniques
- Discrete Probability Modeling and Bayesian Inference Using Simulation
- Empirical and Theoretical Exploration of Random Events
- Regression Diagnostics & Log-Transformed Modeling
- Composite Hypotheses & Likelihood Ratio Extensions
- Maximum Likelihood and Critical Value Reasoning
- Bias, Estimation, and Asymptotics
- Delta Method & Moment Estimation
- Central Limit Theorem in Action
- Pareto Moments to Quantile Tables
- Random Variable Fundamentals
- Conditional Probability & Test Accuracy
- Empirical vs. Theoretical Capture Probabilities
- Correlation & Regression Foundations
- Wildtype vs. Transgenic Survival Study