{"heading":null,"id":24831616,"theme":{"name":"none","colors":{"background":"#ffffff","button":"#0e70ba","buttonText":"#ffffff","heading":"#0d161b","text":"#0d161b"},"background":{"blend":"multiply","blur":0,"contrast":75,"grayscale":100,"opacity":38,"url":null}},"button":{"text":null,"url":null},"collectionLayout":"collection-layout-rows-left","contentAlignment":"content-alignment-left","header":{"title":"FAQ","text":null,"button":{"text":null,"url":null}},"mediaStyle":"media-style-plain","toggles":{"questionToggles":false,"open":false},"questions":{"2685267":{"id":2685267,"answer":"

In this Data Science Recipe (DSR-002.ipynb / DSR-002.html / DSR-002.pdf), YOU will learn:

a) Different types of Machine Learning problems.

b) How to organise a Predictive Modelling Machine Learning project.

c) Different elements of data used for predictive modelling.

d) How to install Python.

e) How to implement different Classification Algorithms using scikit-learn in Python.

f) How to implement an end-to-end Data Science Project in Python.

","question":"What do you learn through this Data Science Recipe?","position":0}}}