A retailer has collected some data from its historical promotions outcomes in terms of customers, purchases, recency (last time customer purchased), and conversion to promotions (if the customer has purchased or not). With this historical information, he wants to know which customers are more likely to purchase and what products. Machine learning can learn a […]

In this video you will learn: What is Machine Learning What is an algorithm What is a model Difference between supervised an unsupervised learning

A marketing agency is keeping track of the outcomes of various campaigns for one of their clients. They are carrying out multiple actions through various channels, such as print advertising, out-of-home advertising, publishing a newsletter for a specific product family, and using Facebook, Google search, or television. They collect many metrics from each campaign, but […]

The dataset contains the following columns: PassengerId: an identification number for each passenger. Data type is irrelevant as this column has no prediction capability. Name: The passenger’s name. Data type is irrelevant as this column has no prediction capability. SibSp: The number of siblings or spouses traveling with the passenger on board. Data type is […]

This dataset was generated randomly by the NextBrain team. To generate it they follow the rule that the company is a good investment opportunity if the industry is either Banking or Software, and if the annual revenue is greater than 1 million. The dataset is designed to test and develop a model that can accurately […]

A marketing agency is keeping track of the outcomes of various campaigns for one of their clients. They are carrying out multiple actions through various channels, such as print advertising, out-of-home advertising, publishing a newsletter for a specific product family, and using Facebook, Google search, or television. They collect many metrics from each campaign, but […]

A company called “Newco” wants to market a new e-scotter that they think can be very innovative. The key question they face is what the launch price has to be. They have started a research project in which they have collected information from eleven future competitors. They have collected data about sales prices, market share, […]

Column importance in machine learning refers to the relative importance of input features in predicting a target variable. It is used to select the most important variables and discard the least important ones. This technique can lead to faster model training and improved performance. It is important to interpret the results in the context of […]

In this demo, we will see how to add widgets directly to the dashboard dynamically, and then share with the people we want. Each type of problem will have a different collection of widgets, and all of them will be customizable.

The dataset has the following columns with some features identifying a client: age: age of the client ed: education level employ: job type address: geolocation income: year income debtinc: annual amount to pay for the loan creddebt: total amount of bank loans Otherdebt: other kind of credits (credit car,…) default: (0: no, 1: yes). Binary […]