Apr 8, 2025 · In this article we will explore how to build a sales forecast prediction model using Python. Sales forecasting involves estimating current or future sales based on data trends. …

be used for predicting future sales volume with the help of different machine learning techniques for the retailers like Big Mart. In this paper, we propose a predictive model using XG boost …

This project focuses on the analysis of a company's sales data using Python. Leveraging powerful libraries such as NumPy, Pandas, Seaborn, and Matplotlib, we perform data cleaning, …

Apr 23, 2024 · Sales trend analysis: Retrieve sales data from several years to analyze sales trends over time. And focus on comparing trends between different years.

Jan 5, 2025 · Whether you're a seasoned data analyst or just starting, this tutorial will walk you through the essentials of using Python to uncover valuable insights from your sales data. By …

I’ll show you how to transform the raw CSV data into something useable and then we’ll build out three different analyses, all in Python. Analysis 1: Sales Analysis by Category. Visualizing total …

In this work, we will be using the sales data of a company to understand the factors affecting the sales, for example, the unemployment rate, popularity of product, and holidays in the different …

In this paper, we build a predictive model using machine learning algorithms for predicting the sales of a company and find which model performs better. The models are compared to find …

In this paper, the objective is to get proper results for predicting the future sales or demands of a firm by applying techniques like Clustering Models and measures for sales predictions. The …

Sep 10, 2024 · In this post, We will use Python Pandas and Matplotlib to analyze the insight of the dataset. We can use the column Transaction Date, in this case, to glean useful insights on the …