Python with Machine Learning (with Project Letter)

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Python with Machine Learning (with Project Letter)

Rs.5,000.00

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18% GST Extra

If interested kindly fill the inquiry form

SKU: cid_225450 Category:

Training & Duration

  • Live classes (Monday to Friday)
  • 4 Weeks of Training & 2 Weeks of Project Work

Course Features

    • Online lectures: Online live lectures.
    • Updated Quality content: Content is the latest and gets updated regularly to meet the current industry demands.
Test & Evaluation

1. During the program, the participants will have to take all the assignments given to them for better learning.

2. At the end of the program, a final assessment will be conducted.

Certification

1. All successful participants will be provided with a certificate of completion.

2. Students who do not complete the course / leave it midway will not be awarded any certificate.

Basic knowledge of any programming language will be helpful

Course Outline

1: Introduction

  • What is Python..?
  • Why Should I learn Python..?
  • Installing Python
  • How to execute Python program
  • Write your first program

2: Variables & Data Types

  • Variables
  • Numbers
  • String
  • Lists ,Tuples & Dictionary

3: Conditional Statements & Loops

  • if...statement
  • if...else statement
  • elif...statement
  • The while...Loop
  • The for....Loop

4: Control Statements

  • continue statement
  • break statement
  • pass statement

5: Functions

  • Define function
  • Calling a function
  • Function arguments
  • Built-in functions

6: Modules & Packages

  • Modules
  • How to import a module...?
  • Command line arguments
  • Packages
  • Creating custom packages

7: Classes & Objects

  • Introduction about classes & objects
  • Creating a class & object
  • Inheritance
  • Methods Overriding

8: Files & Directories

  • Writing data to a file
  • Reading data from a file
  • Working with csv file
  • The os module
  • Working with files and directories

9: Introduction to Sqlite database

  • Overview
  • Create Database
  • Create Table
  • Drop Table
  • Insert query
  • Select query
  • Delete and Update query
  • WHERE, AND & OR Clause

Some Basics of Machine Learning

10: Introduction to Machine learning

  • What is ML?
  • Examples on ML
  • Types of ML
  • Introduction to the basic terminology
  • ML package :scikit-learn
  • Anaconda
  • How to install anaconda

11: Regression

  • Introduction
  • Simple Linear Regression
  • Multiple Linear Regression
  • Polynomial Regression
  • Evaluate Performance of a linear regression model
  • Overfitting and underfitting

12: Logistic Regression

  • Logistic Regression theory
  • Implementing Logistic regression with scikit-learn
  • Logistic Regression Parameters
  • Multi-class classification

13: Features Extraction and Naïve Bayes Classification

  • Features extraction
  • Countvectorizer
  • TF-IDF
  • Theory Naive Bayes Algorithm
  • Email Spam filtering using Naive Bayes

For inquiry call:  8953463074

Online Live Training Program 2022

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