Classifying the Drugs category

A machine learning Jupyter notebook that trains a model to classify between benign and malicious activity from software

This is a simple python program to train a classification model using decision tree, random forest and Naive Bayes algorithms

A logistic regression machine learning model was created for the dataset based on breast cancer data to classify the tumour as malignant or benign.

Diabetes prediction using machine learning algorithms

Binary classification-models comparison

Predictive Analytics Practice: Random Forest, K-NN, SVM, Regression, Logistic Regression

Machine Learning using K-Nearest Neighbors Algorithm

Comparing machine learning methods in the classification of malignancy of thyroid cancer

K-nearest neighbors (KNN) is a supervised machine learning algorithm that is used for classification and regression tasks. It works by finding the K nearest data points to a given input and using their labels to predict the label for the input.

The following repo gives an introduction to mutliclass classification in tensorflow using catergorical cross-entropy as optimizer. The dataset consist of different animals and a CNN structure is used in classifiaction

There are four projects here that showcases my knowledge of classification, clustering, association rule mining and text mining. The project on classification compared Artificial Neutral Network and K Nearest Neighbor in shill bidding classification. The project on clustering, compared Kmeans and heirarchical clustering methods on facebook sellers

Using Machine Learning to predict the likelihood of a loan default using a loan data set obtainable from Kaggle. I employed Classification for the building the machine learning models as the target variables were binary, 0 and 1 representing no default and defaulted.

Heart Disease Prediction - Data Mining Project

Using the Minisom library, an implementation of the Self-Organizing Maps, to classify defected software.

Supervised ML projects - heart disease classification problem

A classification model that classifies whether a movie is a comedy or a thriller by using only the number of times chosen words appear in the movies's screenplay. This project uses k-nearest-neighbor's classification.

Landsat 9 multispectral data classification.

Build ML Models From Scratch (Supervised and Unsupervised).

Final project for CS417 Introduction to Data Mining. Random Forest and Artificial Neural Network Algorithms