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Course type: Online Instructor led Course

Platform: gotomeeting, webex

Course ID: 45094

Course type: Online Instructor led Course

Platform: gotomeeting, webex

Students Interested 0 (Seats Left 0)

No Reviews Yet

About the Course



Difference between Programming and scripting


Installation of Python on Windows and UNIX machines

Setting up path

Simple hello world program


Data types

Data structures (List, tuple, dictionaries, sets and arrays)

 Operations on strings


Input and output statements:


Raw_input and input (for both 2.x and 3.x)

Conditional Statements:



Nested if-else

Loops and control statements:



Nested loops





Defining a function

Calling a function

Types of functions

Function Arguments

Scope of the variable (global and local)



Creating modules

Importing modules

Usage of modules(os, sys, subprocess, random json, yaml)

Reading xml files

Exception Handling:


Exception Handling ( try except and try finally)

Regular expressions:








Oops concepts:

Class and object


Data hiding

Data abstraction

Working with Database and OS(Windows and Unix):

Connecting to Data base

Executing DB queries

Executing tasks of Unix and winnows using python


  • Linear algebra: Simple linear algebra.

  • Programming: I learnt programming at the same time as I was teaching myself ML, so programming skills can start from zero to proficient.

  • Calculus: Some differential calculus.

Alright. We have a handle on Python programming and understand a bit about machine learning. Beyond Python there are a number of open source libraries generally used to facilitate practical machine learning. In general, these are the main so-called scientific Python libraries we put to use when performing elementary machine learning tasks (there is clearly subjectivity in this)

Date and Time

Not decided yet.

About the Trainer

4.82 Avg Rating

28 Reviews

30 Students

3 Courses



Trainer Having 8+ years of experience.


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Students Interested 0 (Seats Left 0)

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