Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

A Logistic model for predicting divorce rates among couples, implemented using the sklearn library.

Prediction of molecular subtypes of Breast Cancer based on TCGA proteomic data

NN-Classifier for human activity videos from HMDB dataset

In this project we have done with halilkolge ; We perform classification operations using decision trees, KNN, Naive Bayes, Neural Network and Support Vector Machines algorithms.

A simple Flutter app with offline category classification ML model for efficient Note management

Machine learning pipeline for liver cancer classification using gene expression data. Includes preprocessing, PCA, and model evaluation with Random Forest, SVM, XGBoost, and MLP.