Sales Forecasting

Here you’ll find everything about sales forecasting, whether it’s Python tutorials on forecasting sales performance or conceptual articles.

Sales forecasting is the process of predicting future sales revenue for a company or product. This typically involves analyzing historical sales data, market trends, and other relevant factors in order to make an educated estimate of future sales. Sales forecasting is an important part of business planning and can help companies make informed decisions about resource allocation, budgeting, and strategic planning. It can also help identify potential problems or opportunities, and provide a basis for setting sales goals and targets. Sales forecasting is often used in conjunction with other techniques, such as market research and customer surveys. This way, it is possible to provide a more comprehensive picture of future sales potential.

Feature Engineering and Selection for Regression Models with Python and Scikit-learn

car price prediction machine learning tutorial python-min

Training a machine learning model is like baking a cake: the quality of the end result depends on the ingredients you put in. If your input data is poor, your predictions will be too. But with the right ingredients – in this case, carefully selected input features – you can create a model that’s both … Read more

Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python

Perfecting your machine learning model’s hyperparameters can often feel like hunting for a proverbial needle in a haystack. But with the Random Search algorithm, this intricate process of hyperparameter tuning can be efficiently automated, saving you valuable time and effort. Hyperparameters are properties intrinsic to your model, like the number of estimators in an ensemble … Read more

Forecasting Beer Sales with ARIMA in Python

beer sales arima forecasting python tutorial pint with data in the background relataly forecasting

Time series analysis and forecasting is a tough nut to crack, but the ARIMA model has been cracking it for decades. ARIMA, short for “Auto-Regressive Integrated Moving Average,” is a powerful statistical modeling technique for time series analysis. It’s particularly effective when the time series you’re analyzing follows a clear pattern, like seasonal changes in … Read more

Classifying Purchase Intention of Online Shoppers with Python

Customer Purchase Intention Prediction Python Machine Learning

Online shopping has become a part of our daily lives, and online stores are continually seeking to improve their sales. One way to achieve this is by using machine learning to predict customers’ purchase intentions. This innovative process can help businesses understand their customers’ behavior and tailor their marketing strategies accordingly. In this article, we … Read more