Python code for common Machine Learning Algorithms
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Updated
Mar 10, 2024 - Jupyter Notebook
Python code for common Machine Learning Algorithms
Photovoltaic power prediction based on weather data for my bachelor thesis
The R package for SVM with GPU architecture based on the GTSVM software
Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets
NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.
Based on the SVR interpolation, a new method about the time-varying channel estimation of FBMC is proposed.
This repo is an implementation of the research paper "A Data Mining Approach to Predict Forest Fires using Meteorological Data." by P. Cortez and A. Morais. The algorithms used are : SVR, Decision Trees, Random Forests, Simple Deep Neural Network ( Keras with Tensorflow backend)
We have used Support Vector Regression and Random Forest Regression to predict traffic or congestion.
SVR for multidimensional labels
Compared different classification and regreesion models performance in scikit-learn by applying them on 20 datasets from UCL website.
Multi-Objective Hybrid Autoscaing (MOHA)
A research based project which uses steganography and ML/deep learning algorithm to reconstruct the lost audio signals from a corrupted file.
Using ε-Support Vector Regression (ε-SVR) for identification of Linear Parameter Varying (LPV) dynamical systems
Forecasting exchange rates by using commodities prices
R codes for common Machine Learning Algorithms
The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.
A spherical volume rendering algorithm that performs ray casting through a spherical voxel grid.
Path planning in aerial images using imitation learning
lsgkm+gkmexplain with regression functionality. Builds off kundajelab/lsgkm (which has gkmexplain), which in turn builds off Dongwon-Lee/lsgkm (the original lsgkm repo)
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