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

exploratory feature analysis python car price prediction

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 … Read more

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

house price prediction hyperparameter tuning

Finding the perfect hyperparameters for your machine learning model can be like searching for a needle in a haystack – unless you use random search. This efficient method automates the process of hyperparameter tuning, so you don’t have to spend hours manually testing different configurations. Hyperparameters are model properties (e.g., … Read more

Forecasting Beer Sales with ARIMA in Python

Forecasting Beer Sales with ARIMA

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 … Read more

Classifying Purchase Intention of Online Shoppers with Python

Customer Purchase Intention Prediction Python Machine Learning

Most online stores welcome countless visitors every day, but only a fraction of those visitors will make a purchase. Purchase intention prediction is the process of using machine learning algorithms to predict the likelihood that a particular customer will make a purchase. This can be useful for many applications, such … Read more