26 concepts you should know — Part 1: from A to J

Python is one of the leading programming languages across the globe. It is used in many contexts from data science, robotics, web development to gaming, and rapid prototyping. Its simple syntax makes Python programs really easy to read and write, ensuring a rapid learning curve. Additionally, Python has ‘batteries included’…


Building decision trees with Scikit-learn library

AI has tremendous potential in the healthcare context and has been continuously growing in this area over the last few years. The medical industry is using Artificial Intelligence to make smarter and also more accurate decisions.


Overview of the impact of COVID-19 and social inequalities on unemployment rates in Barcelona.

The financial crisis of 2008 had a significant impact on the Spanish economy, particularly in terms of unemployment. However, from 2012, Spain was undergoing a slow but continuous economic recovery. The coronavirus pandemic has ended with a growth that seemed unstoppable, increasing again unemployment levels across the whole country.

This…


Along with coding examples

Python is currently one of the most widely used programming languages worldwide. Its clean and simple syntax makes Python programs really easy to read and write, ensuring a rapid learning curve. …


According to IMDb.com information

The Academy Awards, also known as the Oscars, are the most prestigious film-making prices and are held annually since 1929 by the Academy of Motion Picture Arts and Sciences, located in Beverly Hills (California, U.S). The ceremony was first broadcast by radio; however, since 1953 is live televised and viewed…


5 Tips to spread your message more effectively across the audience with static visualizations

Data Visualization is a must-have skill you need to become a data scientist. Most of the time, we fully focus on learning how to use visualizations tools and we do not stop to think about the designing principles and good practices we should follow when it comes to making visualizations…


The complete guide to clean data sets — Part 3

Filtering data from a data frame is one of the most common operations when cleaning the data. Pandas provides a wide range of methods for selecting data according to the position and label of the rows and columns. …


Data Analysis with Pandas, Plotly, and Matplotlib

This article is a journey through the history of the Bundesliga. Analyzing historical data (all classifications from 1963 until 2020), we will be able to answer many questions about the German league. What teams won the German league? What teams nearly won the Bundesliga? When did Bayern’s hegemony start? What…


Data Analysis 📝 + History 🌐

The Spanish football league commonly known as La Liga is the first national football league in Spain, being one of the most popular professional sports leagues in the world. It was founded in 1929 and has been held every year since then with the exception of the period (1936–1939) due…


The complete guide to clean data sets — Part 2

The success of a machine learning algorithm highly depends on the quality of the data fed into the model. Real-world data is often dirty containing outliers, missing values, wrong data types, irrelevant features, or non-standardized data. The presence of any of these will prevent the machine learning model to properly…

Amanda Iglesias Moreno

Industrial Engineer, Software Developer, and Data Scientist. — Stuttgart/Valencia — https://www.linkedin.com/in/amanda-iglesias-moreno-55029417a/

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