Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.

This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset.

ETL pipeline combined with supervised learning and grid search to classify text messages sent during a disaster event

Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.

Implementation of Grid Search to find better hyper-parameters for decision tree to reduce the over fitting.

Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classification to random forest tree and classification. Grid Search is also included.

This repo contains examples of binary classification with ANN and hyper-parameter tuning with grid search.

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. Thi…

The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidate…

Machine learning models for detection of diseases.

Generalized Improved Second Order RBF Neural Network with Center Selection using OLS

This package is an automatic machine learning module whose function is to optimize the hyper-parameters of an automatic learning model.

A logistic regression model that predicts whether or not a credit card application will get approved using SciKit.

Analysis and prediction for the housing market prices using Cross Validation and Grid Search in several regression models

Hotel booking cancellation prediction model

ETL Pipeline / ML Pipeline of Disaster Data provided by figure8

Experimental using on Iris dataset of MultiLayerPerceptron (MLP) tested with GridSearch on parameter space and Cross Validation for testing results.

Programming assignments completed in the PG Program for AI ML

16. Exoplanet Exploration - Machine Learning Challenge

Using Grid Search to improve Machine Learning models