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This project showcases a Power BI dashboard analyzing Reliance Smart's sales, customer behavior, and inventory. Using DAX functions for key metrics like revenue, profit, and returns, and performing data cleaning, transformation, and modeling, the report offers insights into trends and opportunities for optimization. 📊
The process involves collecting historical stock price data, cleaning and preprocessing the data, building and training the prediction model, and then evaluating its performance. Python libraries such as pandas , scikit-learn for machine learning models, and TensorFlow or Keras for neural networks can be used for implementation.
The product aims to provide customers with a seamless and enjoyable online shopping experience. The website will feature a wide range of products, including shoes, sandals, sneakers, electronics, and more.