The data corresponding to this work is from Digit Recognizer - Kaggle. The objective is to create a predictive model to recognize handwritten numbers (from 0 to 9) based on the lightness of the pixels that create each images.
- Load and Check the Data
- Data Preprocessing
- Predictive modeling (Decision Tree, Naive Bayes, SVM and Random Forest)
- Prediction (~93% Accuracy)