Purpose of this project is to implement machine learning algorithms and to compare their performances on a real data set.

Este conjunto de Jupyters forma parte de las prácticas de laboratorio de la Universitat de València. Se puede encontrar: preprocesado, selección y extracción de características, SVM, SVR, modelos basados en árbol y modelos de ensemble.

The goal is to predict how likely individuals are to receive their H1N1 and seasonal flu vaccines. Specifically, you'll be predicting two probabilities: one for h1n1_vaccine and one for seasonal_vaccine. Each row in the dataset represents one person who responded to the National 2009 H1N1 Flu Survey. For details please visit the link: https://ww…

To run this Nu Svr you need a ubuntu operating System and python 2.

Application of learnings in the Machine Learning course , this project mainly gives first hand idea of elaborative exploratory data analysis performed on data sets and various advanced regressions models are used for predicting House Prices.

Predicting long-term and short-term Video Memorability using Semantic and Video features.

This repository deals with setting up a little model to predict Parameters of Sea Waves.

Predicting the day's high price depending on the day's open price of Google and Ripple cryptocurrency

Python code for Machine Learning Algorithms

MLP neural network for USD Exchange dataset

Predict App Google Play's rate

Video transition time estimation with different regression techniques

This research is based on previous research related to Optimization of Airbnb Dynamic Pricing. This research analytical purposes was to create a model that was as flexible as possible by determining price at the scale of the smallest possible rental period at daily basis.

This repository predicts the price of automobiles using data provided by the .csv file.

Support vector machine to regression trained with kernel adatron algorithm

Bluffing Detector using Different Non-Linear ML models

Pred on Stock Index