Keywords: Myntra, Product
Everybody loves to do online shopping. There are so many popular websites or apps for online shopping. Here author took one of the popular shopping apps to predict which product is getting sold out regularly. The dataset contains 1060213 rows and 11 columns. The author found that there are no null values present in the data and as well as no duplicate rows in the data. There is no outlier present in the data as well. So, the author just visualized the data and build a model on top of it. Here author wanted to predict the discount price of a particular product and for the prediction author used an artificial neural network to get less error while doing the prediction of the data.
Aim
To Predict the Myntra Product Using DL Techniques
Objective
Develop an ANN model to predict Myntra product preferences, enhancing user shopping experiences and recommendations.
Explore ANN architectures for improved accuracy in suggesting relevant and diverse fashion items.
Evaluate the ANN's prediction effectiveness, aiming to offer personalized and appealing product suggestions on Myntra.
ANN Technique used
Jupyter, Google Collab
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