Classifying the Drugs category

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

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

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

Algerian forest fires Dataset (Classification Use Case)

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

Machine Learning using K-Nearest Neighbors Algorithm

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

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.

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.

This is a Machine Learning Project that uses various Machine Learning Algorithms to classify that whether a cell with certain features and characteristics is benign or malignant. I have used many classification algorithm( Supervised Machine Learning Algorithms) like Logistic Regression, Logistic Regression with Cross Validation, Decision Tree, Su

Supervised ML - Classification Using Python This dataset can be used to predict the presence of kidney stones based on urine analysis. The 79 urine specimens, were analyzed in an effort to determine if certain physical characteristics of the urine might be related to the formation of calcium oxalate crystals.

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.