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Multiple linear regression can seduce you! Yep, you read it here first. It’s an incredibly tempting statistical analysis that practically begs you to include additional independent variables in your model. Every time you add a variable, the R-squared increases, which tempts you to add more... Read more on this link
Linear regression identifies the equation that produces the smallest difference between all the observed values and their fitted values. To be precise, linear regression finds the smallest sum of squared residuals that is possible for the dataset....Read more on this link
Ecommerce retailers face the challenge of predicting what products will sell, and where and when. Hitting the mark is crucial to minimize the risks of overselling or overstocking. Add in the challenge of predicting dynamic fashion trends, and you can see the importance of demand forecasting in the apparel industry. Read more on the link
There are various ways to understand the effectiveness of your sales team activity or how well sales teams are at driving sales to reach operational and financial goals. Sales forecasting, a method that predicts sales performance based on historical performance, is one way to get this understanding., Read more on the link
Demand forecasting in the fashion industry involves predicting future demand for fashion products such as clothing, accessories, and footwear. This is typically done by analysing historical sales data, consumer behaviour, market trends, and other factors that influence demand. Read more on the link
This type of statistical model (also known as logit model) is often used for classification and predictive analytics. Logistic regression estimates the probability of an event occurring, such as voted or didn’t vote, based on a given dataset of independent variables. Since the outcome is a probability, the dependent variable is bounded between 0 and 1. Read more on the link
At Zalando, we are constantly looking into ways to widen our assortment, in depth and width. This is to make sure that all fashion items are available anywhere and at anytime for our customers. Our Partner Program helps to bring this vision to life. Through the Partner Program,Read more on the link
In simplest terms, logistic regression is used to evaluate the likelihood of a class or event, such as like win or lose, or living or dead. The model can even classify multiple different classes of events, like figuring out if an image contains a hat, a shoe, a shirt, and a briefcase. As a statistical technique, it holds... Read more on the link
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