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.

This repository presents a time series forecasting model for the stock market using SVR and LSTM to build a model that can predict the appropriate time for trading.

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 the 2021-2022 NBA MVP voting race using regression models. Used different Data Science tools such as matplotlib,pandas and sklearn to gather and process data along with model building. Juypter Notebook is used to present and provide commentary on the model and the process taken to get prediction data/

Regression Machine Learning Project

Electrical Impedance Spectroscopy analysis using Machine Learning

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.

Turkey Earthquake Prediction 🌍📊: Unleashing AI/ML powers in Python for seismic forecasts. #MachineLearning #Python #DataScience 🤖

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

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

Here I upload my ML test scripts written in MATLAB or Python

Python code for Machine Learning Algorithms

Remaining Useful Life (RUL) prediction of Multi-Stiffener composite Panels from Single-Stiffener Panels histories using SVR and LSTM

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.

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

This script recovers the admin password for the NightOwl F6-series of devices, using a documented master password

MLP neural network for USD Exchange dataset