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Think Machine Learning with Scikit-Learn (Python)
1. Think Machine Learning with Scikit-
learn (Python)
By: Chetan Khatri
Principal Big Data Engineer, Nazara Technologies.
Data Science Lab, The Department of Computer Science, University of Kachchh.
2. About me
l- Principal Big Data Engineer, Nazara Technologies.
l- Technical Reviewer – Packt Publication.
l- Ex. Developer - Eccella Corporation.
lAlumni, The Department of Computer Science, KSKV Kachchh
University.
3. Outline
lAn Introduction to Machine Learning
lHello World in Machine learning with 6 lines of
code
lVisualizing a Decision Tree
lClassifying Images
lSupervised learning : Pipeline
lWriting first Classifier
5. Now, AI Programs
lAlpha go is best example, wrote for Playing Go
game, but it can play Atari games also.
6. Machine Learning
lMachine Learning does this possible, it is study of
algorithms which learns from examples and
experience having set of rules and hard coded
lines.
l“Learns from Examples and Experience”
7. Let's have problem
lLet's have problem: It seems easy but difficult to
solve without machine learning.
27. Important Concepts
lHow does this work in Real world ?
lHow much training data do you need ?
lHow is the tree created ?
lWhat makes a good feature ?