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Believe in your code. Even if it fails 100 times.
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Believe in your code. Even if it fails 100 times.
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  1. ML Toolkit

    Python 4 12

  2. The challenge The competition is simple: we want you to use the Titanic passenger data (name, age, price of ticket, etc) to try to predict who will survive and who will die.

    Jupyter Notebook 1

  3. The aim of the competition is to create a predictive model using traffic data provided from Uber Movement and historic bus ticket sales data from Mobiticket to predict the number of tickets that wi…

    Jupyter Notebook 2

  4. Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. Recommender systems are utilized in a variety of areas including movies, music, news, boo…

    Jupyter Notebook 1

  5. This dataset report of the number of forest fires in Brazil divided by states. The series comprises the period of approximately 10 years (1998 to 2017). The data were obtained from the official web…

    Jupyter Notebook 1

  6. iris Public

    Forked from antonnifo/iris

    This is an Iris flower classifier RESTful API. The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by Sir Ronald Fisher in the 1936 as an example of discriminan…

    Python 1

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October 1, 2022

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