This repository houses a machine learning project focused on predicting sales using Python. Sales prediction entails forecasting the quantity of a product that customers will purchase, considering factors such as advertising expenditure, target audience segmentation, and advertising platform selection.

Choose an appropriate machine learning algorithm for sales prediction, such as linear regression, random forests. Initialize and train the selected model on the training data. Make predictions on the test data using the trained model.

This video is for the prediction of the sales with different parameters like advertisement cost, advertising platforms. ...more. Dataset:...

CODSOFT-Sales-Prediction-Using-Python This project predicts future sales based on historical data using machine learning. It leverages libraries such as pandas, sklearn, and matplotlib for data preprocessing, feature engineering, and model evaluation.

Prediction of the sales based on the investment on Tv, Radio and Newspaper advertisement using a random forest regressor model.

This project aims to predict sales based on advertising expenditure across different media channels, including TV, Radio, and Newspaper. Using a dataset that includes these expenditures and the corresponding sales figures, we perform exploratory data analysis and build a linear regression model to make sales predictions.

Aug 26, 2023 · We demonstrate how to use the trained model for predictions using a new data point: We create a new DataFrame new_data containing values for 'TV', 'Radio', and 'Newspaper'. We use the predict() method to predict sales for this new data point.

Explore and run machine learning code with Kaggle Notebooks | Using data from Advertising Dataset

The aim of this project is to predict sales based on advertising expenditure using the given dataset. The dataset contains information about advertising spending on different platforms (TV, Radio, and Newspaper) and the corresponding sales amount.

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. Below is the step-by-step implementation of the sales prediction model.