sales-prediction-using-python

PYQT MYSQL based system for Client management, Product management, Sales invoice - Purchase invoice management along with Quick quotation & Accounting facility having Dashboard with digital marketing statiscal data graphs system made as per Indian GST Compliance. It helps in Transforming sales data into actionable insights and predictions.

This project analyzes Kaggle's Advertising Dataset to predict sales based on advertising budgets for TV, Radio, and Newspaper. Using linear regression, it explores relationships between spending and sales, evaluates model performance, and provides actionable insights for data-driven marketing decisions.

Sales prediction from TV, Radio, and Newspaper advertising spend using Linear, Ridge, Lasso, Polynomial, Random Forest, and XGBoost regression. Best model: Random Forest at R²=0.988. Includes feature engineering, channel ROI analysis, and business insights. CodeAlpha Data Science Internship — Task 4.

I am currently pursuing an internship where I am honing my skills in data science and machine learning. My passion lies in uncovering insights from data and building predictive models that can drive meaningful impact.

The dashboard contributes some practicality to the system by ensuring the results made available and easy to comprehend even to non-technical users. Three machine learning models were evaluated: Linear Regression, Random Forest and XGBoost. One of these, Linear Regression, was obviously the best.

This project aimed to forecast future sales based on historical data. The objective was to build a predictive model that can assist businesses in making informed decisions about inventory and marketing strategies.

End-to-end machine learning project comparing regression models to predict Walmart weekly sales using chronological validation.

This repository contains three machine learning projects: Sales Prediction, Titanic Survival Prediction, and Credit Card Fraud Detection. Full executive summaries can be accessed via google drive inside the repository.

End-to-end machine learning project for predicting retail sales volume using EDA, SQL, feature engineering, and Random Forest Regression.

Exploratory data analysis and sales prediction on Diwali sales data using Python.

Sales prediction involves estimating future product sales based on factors like advertising spend, target audience, and platform. Businesses rely on data scientists to forecast sales and optimize advertising costs. Machine learning in Python can be used for this task.

This repository was created for my Data Science Project (Holiday Events Analysis - Walmart Sales Prediction).

"ML-basedhttps://sales-prediction-ml-4994.streamlit.app/ app with live Streamlit demo"

I recently completed my five distinct tasks, as part of my data science and machine learning internship at Oasis infobyte.