Classifying the Drugs category
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Updated
May 24, 2023 - Jupyter Notebook
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
Diabetes prediction using machine learning 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.
Binary classification-models comparison
Predictive Analytics Practice: Random Forest, K-NN, SVM, Regression, Logistic Regression
Comparing machine learning methods in the classification of malignancy of thyroid cancer
Machine Learning using K-Nearest Neighbors Algorithm
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
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
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 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
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