Implement a perceptron from scratch

Implemented K-Nearest Neighbors (KNN) Algorithm on the given Abalone Dataset using Python Language

Implemented K-Means Clustering on the given Abalone Dataset using Python Language

Performing classification tasks with the LibSVM toolkit on four different datasets: Iris, News, Abalone, and Income.

Taken dataset from UC for above task used Linear Ridge Regression for Performing it. Normalisation, Debugging, Plotting Graphs .

Sklearn-like python package with class implementations of different ML algorithms

Regression with an Abalone Dataset - Kaggle

performance of naïve Bayes and k nearest neighbors on the Connect-4 dataset

ABALONE_DECISIONTREE_C4-5: A procedure is attached that uses the Abalone file (https://archive.ics.uci.edu/ml/datasets/abalone) as test and training . After evaluating the entropy of each field, a tree has been built with the nodes corresponding to fields 0, 7 and 4 and branch values ??in each node: 1 for the root node corresponding to field 0, …

ABALONE_NAIVEBAYES_WEIGHTED_ADABOOST: Two procedures are attached that use the Abalone file as test and training (https://archive.ics.uci.edu/ml/datasets/abalone). Both start from a treatment of the training part calculating the frequencies corresponding to each value of each field and applying a Naive Bayes probability calculation. In a second …

This repository contains a Jupyter notebook that implements and optimizes several machine learning models on a dataset

Estimating abalone rings (age) based on their physical characteristics, such as gender, length, height, diameter, weight, etc.

Contains ML projects

Age classification of Abalone dataset. Assignment for Data Science course in UGR.