UX improvements

Module changes

• Make dataset path parameter more resilient with load_dataset
• Print device used with deep_learn
• Return an array for accuracies as opposed to a list with machine_learn and deep_learn
• Add progress bar for load_dataset and deep_learn
• Show training graphs in addition to saving them with deep_learn
• Remove \t in prints to avoid console formatting issues

Other changes

• Add examples to README quick links
• Bump Python requirements from 3.8 to 3.9
• Version number