Tag: Machine Learning

Posted stephenLeave a commentPosted in Prediction systemsPrediction systems

Using Machine Learning to explain and predict the life expectancy of different countries

The project tries to create a model based on data provided by the World Health Organization (WHO) to evaluate the life expectancy for different countries in years. The data offers a timeframe from 2000 to 2015. The data originates from here: https://www.kaggle.com/kumarajarshi/life-expectancy-who/data The output algorithms have been used to test if they can maintain their accuracy in predicting the life expectancy for data they haven’t been trained. Four algorithms have been used:

Linear Regression
Ridge Regression
Lasso Regression
ElasticNet Regression
Linear Regression with Polynomic features
Decision Tree Regression
Random Forest Regression

Posted denitsay1 CommentPosted in LearnLearn

An Introduction to Machine Learning Theory and Its Applications: A Visual Tutorial with Examples

What actually does Machine Learning mean and what types of problems does it solve? This Machine Learning tutorial introduces the basics of ML theory, laying down the common themes and concepts. The practical examples substituted with the mathematical functions of univariate linear regression, linear least squares and others make it easy to follow the logic and get comfortable with machine learning basics.

Posted emilnik, mrangelova, hbuyukliev, plamen, p-stefanov Mentors: milen-chechev1 CommentPosted in Datathons Solutions, Learn, Team solutionsDatathons Solutions, Learn, Team solutions

Cryptocurrencies forecasting

Cryptocurrencies are a type of digital currencies that, since their creation, have become a global phenomenon known to most people. Our job is to build a machine learning algorithm able to forecast their price based on a set of given features such as that currency’s price, market cap, circulating supply etc.