Data Sprint 26
This notebook is the solution for the data sprint26. In this, I imported all the necessary libraries & then got insights about the data, then used a label encoder to convert the entries in the Crop column into numeric value & then grid search CV in order to select the model with the best parameters on which the training data can be trained. and then tested upon unseen data. Plotting the confusion matrix with the seaborn library was also a part of the process.