Kaggle competition: Predicting Sale Price of Corporación Favorita using Machine Learning
<p>Whether you are a beginner or a professional working in Data Science, do yourself a favor and take part occasionally in competitions that resonate with your interests. If you are interested in machine learning, text analysis, exploratory analysis and more, consider showcasing your skills, ideas. This benefits not only you but also others within the Data Science community. I highly recommend project-competitions as I believe they offer valuable advantages for the following reasons:</p>
<ol>
<li>Networking</li>
<li>Learning opportunity</li>
<li>Practice makes perfect</li>
</ol>
<h2>Project introduction</h2>
<p>This Kaggle competition is about <a href="https://www.kaggle.com/competitions/store-sales-time-series-forecasting/overview" rel="noopener ugc nofollow" target="_blank">Time Series Forecasting</a>, involving the prediction of store sales using historical data from Corporación Favorita, a major Ecuadorian grocery retailer. Participants aim to create accurate predictive models for unit sales of various items across Favorita stores, utilizing provided data like dates, store details, promotions, and actual sales. Successful models will be evaluated based on the Root Mean Squared Logarithmic Error (<a href="https://statisticsbyjim.com/regression/root-mean-square-error-rmse/#comments" rel="noopener ugc nofollow" target="_blank">RMSLE</a>), offering an opportunity to address retail challenges and refine forecasting methods.</p>
<h2>Data loading</h2>
<p>Every project starts at having a look at the data and either creating folders to store files in your PC or calling the Kaggle <a href="http://kaggle%20competitions%20download%20-c%20store-sales-time-series-forecasting/" rel="noopener ugc nofollow" target="_blank">API </a>to extract data directly.</p>
<p><a href="https://medium.com/@krisi.afezolli/kaggle-competition-predicting-sale-price-of-corporaci%C3%B3n-favorita-using-machine-learning-e60e8478a64d">Website</a></p>