Case Studies
Major Projects
A collection of end-to-end Machine Learning systems, ranging from computer vision to predictive analytics.
Classification K-Means
Iris Flower Classifier
The classic classification task, distinguishing among three species of iris based on sepal and petal measurements.
Neural Networks MNIST
Digit Recognizer
Implementation of a digit recognition system using handwritten digit data, comparing traditional ML vs basic neural nets.
Naive Bayes
Spam Classifier
A text classification project using Naive Bayes to filter spam emails from legitimate ones based on message content.
Random Forest Fashion
Fashion MNIST Classifier
Classifying articles of clothing using advanced ensemble methods and CNNs for high-accuracy fashion recognition.