🤖Machine Learning Internship Program at Future Interns! Task -1

Hands-on Machine Learning project built with Python, Streamlit, Prophet & TensorFlow | Showcasing AIML skills through time-series forecasting & real-world data insights.

Internship projects at Future Interns

Sales Forecasting for Retail Business - Future Internship Task 1

Sales & Demand Forecasting - Future Interns Task 1

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Built a time-series sales forecasting model using XGBoost with advanced feature engineering (lag features, rolling mean) achieving MAE ~686.

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For Sales Forecasting

About A machine learning application that helps retail businesses forecast their future sales based on the historical transaction data. This project has been made over Kaggle's Superstore Sales Dataset and uses Facebook Prophet model for forecasting.

Machine Learning_Future Interns

This repository contains all assignment submissions for the FUTURE_ML_01 course. Each task is organized in its respective folder with code, documentation, and necessary resources. The repository will be updated regularly as new assignments are completed.

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Sales Forecasting using Random Forest - Future Interns Task 1

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Machine Learning Internship Programe at Futre Interns.

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Sales Forecasting Dashboard with Prophet & Power BI This project applies time series forecasting using Facebook Prophet to predict retail sales and compares forecasted vs actual values. The results are visualized in an interactive Power BI dashboard, showing trends by region, and forecasted vs actual data.

Future-ML-01 is a repository about retail sales forecasting using machine learning and Facebook Prophet, featuring trend analysis, visualizations, and Power BI dashboards to predict future sales from historical data.

Sales forecasting is one of the most widely used Machine Learning applications in real businesses. Companies rely on forecasts to: plan inventory manage cash flow prepare staffing avoid overstocking or losses This task helps you understand how Machine Learning supports real business decisions, not just how to train a model.

AI-powered dashboard for sales forecasting, anomaly detection, and KPI analytics using Flask, JavaScript, ARIMA, and Prophet.

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SALES FORECASTING FOR RETAIL BUSINESS

SALES FORECASTING FOR RETAIL BUSINESS

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AI-Powered Sales Forecasting using sales_data.csv

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