Image of Data science with python

Text

Data science with python



Contents:

Chapter 1 Introduction to Data Science for Python
Chapter 2 Python Data Science Environment Setup.
Chapter 3 Python Matplotlib
Chapter 4 Python Data Cleansing and Data Operations
Chapter 5 Processing CSV, JSON and XLS Data
Chapter 6 Relational Database with Python
Chapter 7 NoSQL Database in Python
Chapter 8 Python Stemming and Lemmatization.
Chapter 9 Aggregation and Data Wrangling with Python.
Chapter 10 Create Python Scatter Plot & Python BoxPlot.
Chapter 11 Bubble, 3D Charts with Properties of Chart
Chapter 12 Python Geographic Maps & Graph Data.
Chapter 13 Python Time Series Analysis
Chapter 14 Measuring Central Tendency & Variability
Chapter 15 Normal, Binomial, Poisson, Bernoulli Distributions
Chapter 16 Python p-Value, Correlation, T-test, KS Test
Chapter 17 Chi-Square Test In Python
Chapter 18 Heat maps with Python
Chapter 19 Histogram and Bar Plot with Python

BOOK REVIEW:

What is Data Science?"Data Science is about extraction, preparation, analysis, visualization, and maintenance of information. It is a cross-disciplinary field which uses scientific methods and processes to draw insights from data. "Tools for Data ScienceData Scientists use traditional statistical methodologies that form the core backbone of Machine Learning algorithms. They also use Deep Learning algorithms to generate robust predictions. Data Scientists use the following tools and programming languages


Availability

200097005.133 RAN dMy LibraryAvailable

Detail Information

Series Title
-
Call Number
005.133 RAN d
Publisher Independently Published : USA.,
Collation
213 hlm.; 23 cm
Language
English
ISBN/ISSN
9798615637353
Classification
005.133
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Specific Detail Info
-
Statement of Responsibility

Other version/related

No other version available




Information


RECORD DETAIL


Back To PreviousXML DetailCite this