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Python code for common Machine Learning Algorithms
Photovoltaic power prediction based on weather data for my bachelor thesis
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)
The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.
A Python-based ML algorithm for the Gibbs free enegy of various intermediates on single atom catalysts
Forecasting exchange rates by using commodities prices
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
R codes for common Machine Learning Algorithms
Path planning in aerial images using imitation learning
A spherical volume rendering algorithm that performs ray casting through a spherical voxel grid.
The project aims to develop models that can forecast traffic congestion, aiding in effective traffic management and planning.
Python-Wrapper for Francesco Parrella's OnlineSVR C++ implementation with scikit-learn-compatible interface.
lsgkm+gkmexplain with regression functionality. Builds off kundajelab/lsgkm (which has gkmexplain), which in turn builds off Dongwon-Lee/lsgkm (the original lsgkm repo)
Predict the compensation base on the position level using the SVR machine learning model.
Ejemplo del tipo de regresiĂłn SVR (RegresiĂłn de Soporte Vectorial) en python.
A python based project to predict the future prices of the top 10 trending cryptocurrencies using ML Algorithms like SVR, Decision Tree and LSTM with an interactive frontend using streamlit. Analysis using PowerBi and has DBMS connectivity.
Here I upload my ML test scripts written in MATLAB or Python
The generation of a kmers dataset that is associated with multiple gene sequences and the further manipulation of this generated dataset are the main contents of the current project.
Predicting the total incurred claim amount by the insurance holders in a vehicle insurance company using regression in python.
Hyper-parameter tuning of Time series forecasting models with Mealpy
Regression Machine Learning Project
Machine Learning Course [ECE 501] - Spring 2023 - University of Tehran - Dr. A. Dehaqani, Dr. Tavassolipour
The project Epsilon SVR is built from Scratch with minimum Sk Learn packages. This Epsilon SVR improves the SVR Model.
Electrical Impedance Spectroscopy analysis using Machine Learning
Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.