Today, is my 90th day of #100daysofcode and #python learning journey. 29th march pass out by writing blog for project, pushing to the GitHub. Did some some random works.
And at the end of the day grasp knowledge from Datacamp regarding to the topic overfitting and underfitting and train test split. I really take joy with following image recognition code.
# Import necessary modules from sklearn import datasets import matplotlib.pyplot as plt # Load the digits dataset: digits digits = datasets.load_digits() # Print the keys and DESCR of the dataset # Print the shape of the images and data keys print(digits.keys()) print(digits.DESCR) print(digits.images.shape) print(digits.data.shape)
# Display digit 1010 plt.imshow(digits.images, cmap=plt.cm.gray_r, interpolation='nearest') plt.show()