MNSIT: Recognizing the numbers (Part 2)
In this second part on MNSIT data, we will see how to edit and prepare the data to reach 97%.
All to understand and practice A.I. in a simple way
In this second part on MNSIT data, we will see how to edit and prepare the data to reach 97%.
Let’s get started with number recognition with the well-known MNSIT dataset!
After doing feature engineering, it’s time to fine-tune the hyperparameter so as to get the best predictions!
Using Kaggle data from the Titanic, the idea of this article is to illustrate some features engineering techniques.
Engage in your first Kaggle competition and get 75% with the Titanic!
Find out in this article how to evaluate and therefore be able to optimize your ML classification model.
How data quality can help Data Scientists in their quest for better predictability.
Find out in this short article how to manage your categorical variables with the one hot encoding technic
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