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TimeSeriesAnalysis
Here we have considered a data set where we are seeing the number of air Passengers per month. We have applied time series analysis technique to predict the future passenger details. We used both ARIMAX and SARIMAX technique to predict.H-M-Personalized-Fashion-Recommendations
In this competition, H&M Group invited us to develop product recommendations based on data from previous transactions, as well as from customer and product meta data. The available meta data spans from simple data, such as garment type and customer age, to text data from product descriptions, to image data from garment images.AcademicSuccess_EDA_DataVisulization_MLClassification
A classification model of Academic Success of students where we can predict the students will be success or failure in academic.Love Open Source and this site? Check out how you can help us