Data science from scratch: first principles with Python/ Joel Grus

By:

Grus, Joel

Publication details: Kolkata: Shroff Publishers, 2019.Edition: 2nd edDescription: xvii, 384 p. : ill. ; 24 cmISBN:

9781492041139
9789352138326

Subject(s):

DDC classification:

005.7565 GRU/D

Contents:

Introduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Deep learning -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Data ethics -- Go forth and do data science.

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	General Books	Central Library, Sikkim University General Book Section				005.7565 GRU/D (Browse shelf(Opens below))					Available			48051

Total holds: 0

Introduction --
A crash course in Python --
Visualizing data --
Linear algebra --
Statistics --
Probability --
Hypothesis and inference --
Gradient descent --
Getting data --
Working with data --
Machine learning --
k-Nearest neighbors --
Naive bayes --
Simple linear regression --
Multiple regression --
Logistic regression --
Decision trees --
Neural networks --
Deep learning --
Clustering --
Natural language processing --
Network analysis --
Recommender systems --
Databases and SQL --
MapReduce --
Data ethics --
Go forth and do data science.

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