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python with ML training ahmedabad
python with ML training ahmedabad
Through Big Data, machine learning can analyze data, create insights, and help build a personalized strategy, which means that content marketers will have a better chance of creating valuable, effective, and/or personalized content that's easy to find on the SERPs and can get more engagements.

python with ML training ahmedabad

Through BigData, machine learning can analyze data, create insights, and help build apersonalized strategy, which means that content marketers will have a betterchance of creating valuable, effective, and/or personalized content that's easyto find on the SERPs and can get more engagements.

 

Machinelearning can perform beyond simple content creation; it can enable marketers tobetter use that material for more impact. For example, ML tools can analyseboth competitor strategies and user behaviour to determine the best approach toengage with potential customers.

PythonFoundation (Mandatory)

 

» What isPython and history of Python?

» Why Pythonand where to use it?

» Discussionabout Python 2 and Python 3

» Set upPython environment for development

»Demonstration on Python Installation

» Discussabout IDE’s like IDLE, Pycharm and Sublime

» Discussionabout unique feature of Python

» Writefirst Python Program

» Startprogramming on interactive shell.

» UsingVariables, Keywords

»Interactive and Programming techniques

» Commentsand document interlude in Python

» Practicaluse cases using data analysis

 

» PythonCore Objects and builtin functions

» NumberObject and operations

» StringObject and Operations

» ListObject and Operations

» TupleObject and operations

» DictionaryObject and operations

» Set objectand operations

» BooleanObject and None Object

» Differentdata Structures, data processing

 

» What arevarious type of functions

» Create UDFfunctions

»Parameterize UDF function, through named and unnamed parameters

» Theanonymous Functions - Lambda Functions

» StringObject functions

» List andTuple Object functions

» DictionaryObject functions

 

» Processtext files using Python

» Read/writeand Append file object

» Fileobject functions

» Filepointer and seek the pointer

» Truncatethe file content and append data

» File testoperations using os.path

PythonAdvance (Mandatory)

 

» Pythoninbuilt Modules

» os, sys,date time, time, random, zip modules

» CreatePython UDM – User Defined Modules

» DefinePYTHONPATH

» init Filefor package initialization

 

» PythonExceptions Handling

» What isException?

» Handlingvarious exceptions using try....except...else

»Try-finally clause

» Argumentof an Exception and create self exception class

» PythonStandard Exceptions

» Raising anexceptions, User-Defined Exceptions

» Objectoriented features

» Understandreal world examples on OOP

» ImplementObject oriented with Python

» CreatingClasses and Objects, Destroying Objects

» Accessingattributes, Built-In Class Attributes

»Inheritance and Polymorphism

» OverridingMethods, Data Hiding

»Overloading Operators

 

» DebugPython programs using pdb debugger

» PycharmDebugger

» Assertstatement for debugging

» What areregular expressions?

» The matchand search Function

» Compileand matching

» Matchingvs searching

» Search andReplace feature using RE

» ExtendedRegular Expressions

» Wildcardcharacters and work with them

 

» Creating aDatabase with PostgresSQL

» CRUDOperations,

» Creating aDatabase Object.

» PythonPostgresSQL Database Access

» DML andDDL Operations with Databases

» PerformingTransactions

» HandlingDatabase Errors

»Disconnecting Database

 

» Installpackage using Pycharm

» What ispip, easy install

» Set up theenvironment to install packages?

» Pythonpackage and structure

Python forData Science/Analytics (Optional Module)

 

» Statisticsoverview

»Categorical data displays

» DifferentType of variable

» Mean andmedian: The basics

» More onmean and median

» Two-waytables for categorical data

» Dot plotsand frequency tables

» Histograms

» Comparingfeatures of distributions

» Linegraphs

» Populationvariance and standard deviation

» Samplevariance and standard deviation

Python forAutomation Testing (Optional Module)

 

»Introduction to testing.

» Testingconcepts.

» Need ofautomation

» Types ofautomation Frameworks.

» UIAutomation - Selenium Library

   -Navigating

   -Locating Elements

   -Waits

» Basics ofAPIs

» Differenttypes of APIs

» APIAUTOMATION - Request Module

 

Email us at info@waytowebeducation.com or call us at 91-846 007 1414,91-846 007 1515, (079) 4004 1819.

 

Website: http://www.waytowebeducation.com/  

 

Visit link -http://www.waytowebeducation.com/python-ml-training.html

 

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