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In the modern world, the information flow which befalls on a person is daunting. This led to a rather abrupt change in the basic principles of data perception. Therefore visualization is becoming the main tool for presenting information. With the help of visualization, information is presented to the audience in a more accessible, clear, visual form. Properly chosen method of visualization can make it possible to structure large data arrays,...
The more carefully you process the data and go into details, the more valuable information you can get for your benefit. Data visualization is an efficient and handy tool for gaining insights from data. Moreover, you can make the data far more understandable, colorful and pleasant with the help of visualization tools. As data is changing every second, it is an urgent task to investigate it carefully and get the insights as fast as...
   Random Forest is a powerful ensemble learning method that can be applied to various prediction tasks, in particular classification and regression. The method uses an ensemble of decision trees as a basis and therefore has all advantages of decision trees, such as high accuracy, easy usage, and no necessity of scaling data. Moreover, it also has a very important additional benefit, namely perseverance to overfitting (unlike...
In this Jupyter Notebook we will retrieve data from the European Central Bank (ECB). The ECB publishes through the European Open Data Portal, which we discussed in the previous tutorial . Before diving into the code, please take a quick look at the following websites, to get a feel for what we will be dealing with. EU portal: https://data.europa.eu/euodp/en/data/publisher/ecb ECB SDMX 2.1 RESTful web...
   A common and very challenging problem in machine learning is overfitting, and it comes in many different appearances. It is one of the major aspects of training the model. Overfitting occurs when the model is capturing too much noise in the training data set which leads to bad predication accuracy when applying the model to new data. One of the ways to avoid overfitting is regularization technique. In this tutorial, we...
Companies have a growing demand to visualize their data with business intelligence tools. We compared the salaries from across 10 different European countries using   Glassdoor , which offers self-reported salary information by location and employer, giving us some key insights into the salaries of people with “Business Intelligence” in their job title. Switzerland with the highest salary for Business Intelligence There...
The random forest algorithm is the combination of tree predictors such that each tree depends on the values of a random vector sampled independently and with the same distribution for all trees in the forest. It can be applied to different machine learning tasks, in particular, classification and regression. Random Forest uses an ensemble of decision trees as a basis and therefore has all advantages of decision trees, such as high accuracy,...
  For many machine learning problems with a large number of features or a low number of observations, a linear model tends to overfit and variable selection is tricky. Models that use shrinkage such as Lasso and Ridge can improve the prediction accuracy as they reduce the estimation variance while providing an interpretable final model. In this tutorial, we will examine Ridge and Lasso...
  The EU Open Data Portal gives access to open data published by EU institutions, agencies  and  other bodies. Around 70 EU institutions, bodies or departments use the platform to make over 12,500 datasets available. In this Jupyter Notebook we will retrieve data from open data portal " http://data.europa.eu/euodp/en/home ". The portal is based on the open source project CKAN. CKAN stands for...
  Google became the main starting point for our online activities. The search engine processes about 40,000 searches every second or 3.5 billion searches per day. It records what people are interested in, what they worry about or where they want to travel. In a unique manner, the search engine captures trends in interests and behavior. Hidden racisms, sexual orientation or ad returns - check out the work by Seth...
  opendata.swiss is the Swiss authorities’ portal for open data. Currently, 65 governmental organizations (many federal agencies, but also cantonal agencies, SBB and Post) provide access to 6,278 datasets. The portal offers an easily searchable catalogue of available datasets. Manually downloading the datasets can be cumbersome and the retrieval of data through the API can save time.   In this Jupyter...
Since the dawn of the digital age, the amount of data stored on servers has risen dramatically. With this increase, more and more firms are looking for talent that can handle their datasets and generate insights for business decisions. Google Trends shows that the global volume of the search term “Data Analyst” nearly tripled over the last 5 years. How does the increasing demand translate into earnings of data analysts in...