Machine Learning with Python and Statistics

Course Curriculum

Chapter 1: Introduction to python

Lecture 1: Importance of Python Part 1

Lecture 2: Importance of Python Part 2

Lecture 3: Hands-on Exercise- Installing Python Anaconda for the Windows, Linux and Mac

Chapter 2: Variables

Lecture 1: Variables Introduction

Lecture 2: Categorical Variable

Lecture 3: Numerical Variable

Lecture 4: Mixed Variable

Chapter 3: Python Lists

Lecture 1: Adding Attribute

Lecture 2: Sets And Tupels

Lecture 3: Conditional Statements

Lecture 4: Looping Statements

Chapter 4: Functions in Python

Lecture 1: Python Functions- Introduction

Lecture 2: Built-in Functions-3

Lecture 3: User defined functions

Lecture 4: Date and Time Function

Chapter 5: Pandas and Numpy

Lecture 1: Pandas and Numpy

Lecture 2: Numpy-libraries

Lecture 3: Numpy-Indexing and selection

Chapter 6: Classes, Objects and Modules

Lecture 1: Classes and Objects

Lecture 2: Object Oriented Programming And Classes

Lecture 3: Abstraction in OOPs

Lecture 4: Abstract Class and Methods

Lecture 5: Inheritance in OOPs

Lecture 6: Encapsulation

Chapter 7: Exception Handling

Lecture 1: Introduction To Exception Handling

Lecture 2: Exception Handling Part 2

Chapter 8: Web Scraping with Python

Lecture 1: Introduction To Web Scraping In Python

Lecture 2: Introduction With Basic Html

Lecture 3: Web Crawler, Web Scraping

Chapter 9: Multi Threading

Lecture 1: Introduction To Threading

Lecture 2: How To Use Multithreading- Code

Chapter 10: Connecting DataBase to Python

Lecture 1: Connect Python With MySQL

Chapter 11: Matplotlib

Lecture 1: How To Plot Graph And Chart With Python

Lecture 2: Histogram

Lecture 3: Barchart

Lecture 4: Pie-chart

Lecture 5: Plot Using Python

Lecture 6: Scatterplot

Lecture 7: All Plots

Chapter 12: Tools in Python

Lecture 1: Code Quality

Chapter 13: Modules

Lecture 1: Imports

Chapter 14: Packages

Lecture 1: Decorators

Lecture 2: Generators

Chapter 15: Files

Lecture 1: File Processing Part 1

Lecture 2: File Processing Part 2

Chapter 16: Flask section

Lecture 1: Flask Introduction

Lecture 2: Creating Our First App

Lecture 3: Querying Database

Lecture 4: Dynamic Url Query

Chapter 17: Testing and Publishing

Lecture 1: Testing, Comments And Publish

Chapter 18: User Interface

Lecture 1: How To Create And Design User Interface

Lecture 2: How To Create A Button?

Chapter 19: Application Development

Lecture 1: Tic-tac-toe Game

Chapter 20: Grammer Correction in Text

Lecture 1: Understanding The Concept Of Text Grammar

Lecture 2: Grammatical Rules

Lecture 3: Appling Nlp Rule For Grammar Correction – Part 1

Lecture 4: Appling Nlp Rule For Grammar Correction – Part 2

Lecture 5: Appling Nlp Rule For Grammar Correction – Part 3

Lecture 6: Introduction To Speech To Text Conversion

Lecture 7: Implementation Example Of Speech To Text

Chapter 21: Mini and Mega Python Projects

Lecture 1: The Hangman Game Description

Lecture 2: The Hangman Game Code

Lecture 3: Snake Game Description

Lecture 4: Snake Game Code

Lecture 5: Phonebook (Add, Delete, Updated Contacts) Description

Lecture 6: Phonebook (Add, Delete, Updated Contacts) Code

Lecture 7: Password Generator Description

Chapter 22: Overview of Statistics

Lecture 1: Overview of Statistics

Lecture 2: What Is Descriptive Statistics?

Chapter 23: Introduction to basic definition used in Statistics

Lecture 1: Data Types

Lecture 2: Population

Lecture 3: Sample

Chapter 24: Concepts to Understand Data

Lecture 1: Central Tendencies

Lecture 2: Measures Of Dispersion

Chapter 25: Methods of Feature Scaling in Statistics

Lecture 1: Z-score