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

Posted Leave a commentPosted in Prediction systems

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: 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

Data Visualization with Python.

Posted Leave a commentPosted in Learn

It is said that a picture is equal to 1000 words. This article will focus on data visualization with Python and will introduce the most popular data visualization libraries, textbooks, and courses available. Data Visualization is a very important and often overlooked part of the process of asking the right question, getting the required data, […]

The Wild Wild West: Data Gathering, Wrangling and Analyzing

Posted Leave a commentPosted in Big Data

Data can provide insights into market trends, customer behavior, and opportunities for growth. However, companies need a reliable strategy for collecting and analyzing this data. Without the right people, tools, algorithms, and processes, a data collection strategy can become costly and ineffective. Collecting and storing large amounts of data comes along with governance and compliance considerations that if not addressed can result in fines.

Text Mining Data Science Monthly Challenge

Posted Leave a commentPosted in Learn

Why you should join the Data Science Monthly Challenge and what you can expect? The Data Science Monthly Challenge provides an exceptional opportunity for participants, no matter of their background and previous experience, to be involved in finding a solution to a real data science problem step by step. The proposed gradual approach towards advanced business […]

Datathon Participants Guidelines

Posted Leave a commentPosted in Guidelines

Dear participants, we highly appreciate your participation in the Datathon as challengers and we are sure that your contribution will make for another great Datathon. During the event, your task would be to develop a data-based solution to a chosen case study. Before the event Register into the Datathon Platform Register in Datathon website at: […]