The goal of this project was to create a model to predict whether it might rain in Australia tomorrow, according to historical data. This is an Itaú Bank case study from a hiring process for a data scientist role.
Python package that analyses the given datasets and comes up with the best regression representation with either the smallest polynomial degree possible, to be the most reliable without overfitting or other models such as exponentials and logarithms
A Mathematical Intuition behind Logistic Regression Algorithm
This repository contains the lab work of the course Machine Learning (IE 406).
Logarithm
Statistics projects using R.
Sentiment Analysis of Movie Reviews is either positive or negative review, the dataset which is used is "IMDB Dataset of 50K Movie Reviews" and the machine learning algorithm which I used in this is Logistic Regression , Random Forest and LinearSVC.
Repository with solutions for the ML Octave tutorial exercises. Implemented during the 2017-18 academic year; UCM, "Aprendizaje Automático".
Project AMP Regression problems by Prof. Antonio Quesada ( Regression assignment )
My implementation of the regression algorithms
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