R codes for common Machine Learning Algorithms

NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.

Support vector machine to regression trained with kernel adatron algorithm

Simple regression problem where by pre-loaded data I have shown different regression algorithm and their performance on data.

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)

Using ε-Support Vector Regression (ε-SVR) for identification of Linear Parameter Varying (LPV) dynamical systems

Course work of Multivariate data analysis CH5440

Predicting house prices using SVR

Tuning Support Vector Regression parameters with some of algorithm such as PSO, Grid search, GA , ...

Stock Price Prediction

Implementation of Different Machine learning Algorithm with Sample Datasets in Python3

A study on 'a titanic probability' via kaggle's dataset.

Common Machine Learning Examples 💻

data mining and machine learning coursework projects

Predict the compensation base on the position level using the SVR machine learning model.

Grade Prediction Regression using ridge, lasso, inn, and svr

Multiple randomized ANN are being generated that is being taken from user input(total number of ANN) then we have approached one of the nature-inspired-algorithms such as DIFFERENTIAL-EVOLUTION(DE) on a soil-content-dataset to prove that it has better prediction and optimising values other than some well defined algorithms such as SUPPORT-VECTOR…