Data Science Project: Sales Prediction Using Python скачать в хорошем качестве

Data Science Project: Sales Prediction Using Python

TASK 5: SALES PREDICTION USING PYTHON Problem Statement: Sales prediction means predicting how much of a product people will buy based on factors such as the amount you spend to advertise your product, the segment of people you advertise for, or the platform you are advertising on about your product. Typically, product- and service-based businesses always need a data scientist to predict their future sales with every step they take to manipulate the cost of advertising their product. Sales prediction based on advertising expenditure features such as TV, newspaper, and radio. In this video, I demonstrate a Sales Forecasting project I completed during my Data Science Internship at ‪@oasisinfobyte‬ The project involved analyzing sales data and building Linear Regression model, a ML model to predict future sales based on features like advertising budget, product categories, etc. Technologies Used: Python Pandas, NumPy Matplotlib, Seaborn Scikit-learn (Linear Regression, Metrics) Project Highlights: Exploratory Data Analysis (EDA) Correlation analysis Building & evaluating a Linear Regression model Thank you for watching, and I hope this project provides valuable insights into the world of data science and machine learning. Don’t forget to like 👍, comment 💬, and subscribe 🔔 for more Data Science project videos! #SalesPrediction #python #machinelearning #datascience #internship #regressionanalysis #oasisinfobyte #dataanalytics #linearregression #predictiveanalytics #predictivemodeling