Data mining course material.
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Updated
Jun 7, 2022 - Jupyter Notebook
Data mining course material.
Contains code to run and visualize techniques like Clustering, PCA, Generative Modeling on publicly available data.
A simple Android app for naive bayesian classification.
Bayesian Classifier for filtering the spam messages implemented in Python.
Building Machine Learning algorithms from scratch.
Repository per il progetto di IC (2021)
Repo to store all the concepts and codes that I have learned and worked on in the Artificial Intelligence field
Face recognition with Bayesian Classifier, KNN, KernelSVM (Linear, RBF, Polynomial), Boosted SVM, PCA, LDA
Skin detection application based on Bayesian classifier
Making use of bayesian learning, three common applications are developed.
Tripadvisor review sentiment analysis for final data science project
Project involved the building and training of machine learning models using the custom built kNN and bayesian classifier as well as the classifiers from the python sklearn library.
Accuracy comparison between generative and discriminative models
Using NLTK's Bayesian Classification to classify any roman string as English, Spanish or Japanese
Implementation of various Data Warehouse and Mining algorithms and techniques like Apriori, Bayesian classification, KMeans and ETL processes
These are computer assignments of the book "An Introduction to Machine Learning" by Miroslav Kubat
Binary classification of images using Bayes classifier
This repositories contains implementation of various Machine Learning Algorithms such as Bayesian Classifier, Principal Component Analysis, Fisher Linear Discriminator, Face Recognition and Reconstruction, Gaussian Mixture Model based Segmentation, Otsu's Segmentation, Neural Network etc. Relevant data sets and results are also included.
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