Made with in MABL @ 2019 by Celal Savur
Using MNIST dataset, campers will learn how to classify handwritten digits. The campers would also use their own handwritten images for classification.
In this project camper would practice the regression concept they learn in action. The camper would use Boston house price to estimate house prices.
The camper will use mnist fashion dataset to classify images. The objective of this to learn about image embedding.
The camper will select a dataset (either image or other) to build his/her own ML algorithm on a specific problem.