MaharanaSaroj/H-M-Personalized-Fashion-Recommendations MaharanaSaroj/H-M-Personalized-Fashion-Recommendations

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • License
    Apache License 2.0
  • Created about 2 years ago
  • Updated about 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
MaharanaSaroj/H-M-Personalized-Fashion-Recommendations
github

MaharanaSaroj

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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.

More Repositories

1

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.
Jupyter Notebook
1
star
2

StoreSales-Time-Series-Forecasting

The goal of this analysis is to predict the sales for the thousands of product families sold at Favorita stores located in Ecuador. Predictions aren’t just for meteorologists. Governments forecast economic growth. Scientists attempt to predict the future population. And businesses forecast product demandβ€”a common task of professional data scientists. Forecasts are especially relevant to brick-and-mortar grocery stores, which must dance delicately with how much inventory to buy. Predict a little over, and grocers are stuck with overstocked, perishable goods. Guess a little under, and popular items quickly sell out, leading to lost revenue and upset customers. More accurate forecasting, thanks to machine learning, could help ensure retailers please customers by having just enough of the right products at the right time.
Jupyter Notebook
1
star
3

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.
Jupyter Notebook
1
star