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Full Stack Web Developement With Python Django Machine Learning And AI


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by fatima
Price: 100,000
6 Months
0 Lessons

Full Stack Web Developement With Python Django Machine Learning And AI

Full Stack Web Development With Python Django Machine Learning And AI

In this course, you will learn popular machine learning algorithms using Python, AI, and Machine Learning principal component analysis, and many more data sciences concepts and techniques from basic to advanced levels. (online classes available)

You will also learn about training data, and how to use a set of data to discover potentially predictive relationships, you will learn how to train algorithms using training data so you can predict the outcome for future datasets. You will also learn about overtraining and techniques to avoid it such as cross-validation, all of the fundamental skills are covered in one course to start a career in Python – AI, Machine Learning, and Data Sciences.


Course Key Learning 

  • Python programming (from beginner to advance)
  • The basics of Machine Learning
  • How to perform cross-validation to avoid overtraining
  • Several popular machine-learning algorithms
  • How to build a Website Using Django
  • What is regularization and why it is useful
  • Data Sciences and Data Analysis

Course Outline

Module-01  Introduction To Front-End Web development

  • HTML Overview
  • HTML Tags
  • Doctype & Basic Layout
  • Headings, Paragraphs & Typography
  • Links, Images & Attributes
  • Lists & Tables
  • Forms
  • Mini Project 01 (Your 1st HTML Page)

Module -02 Introduction To CSS And Bootstrap

  • Implementing CSS
  • Basic CSS Selectors
  • Dev Tools Introduction
  • Fonts In CSS
  • Color Types
  • Backgrounds & Borders
  • Working with Bootstrap: Reviewing basic styles and typography
  • Working with classes
  • Using form styles
  • Working with interactive components in bootstrap
  • Mini Project 02 (Your 1st Responsive Web Page)

Module-03 Web Programming with Javascript 

  • Variables
  • Conditions
  • Loops
  • Arrays
  • Functions
  • Query Selector
  • DOM Manipulation
  • Reviewing JavaScript Console
  • Arrow Functions
  • Project #1(Guess My Number)
  • JavaScript Objects
  • Project #2(Complete Website Using HTML CSS And JavaScript)

Module -4  B E G I N N E R   P Y T H O N

  • Variables in Python
  • String Manipulation
  • Input and Print Functions
  • Variable Naming
  • Mathematical Operations in Python
  • DataTypes
  • Converting types
  • Conditionals IF/ELIF/ELSE
  • Logical Operators
  • Functions
  • For Loops
  • Code blocks and Indentation
  • While Loops
  • Python Dictionaries and Lists
  • Nested Collections
  • Returning Functions
  • Return vs. Print

Module-5 I N T E R M E D I A T E   P Y T H O N

  • Local Development Environment Setup
  • PyCharm Tips and Tricks
  • Python Object-Oriented Programming
  • Creating Classes in Python
  • Using External Python Modules/Import
  • Getting / Setting Attributes
  • Python Methods Class Initialisers Module Aliasing
  • Optional, Required, and Default Parameters
  • Event Listeners
  • Python Instances and State
  • File I/O Reading and Writing to Local Files
  • File Directories
  • Reading and Writing to CSV
  • Introduction to the Pandas Framework
  • List Comprehensions
  • Dictionary Comprehensions

Module-6 P R O F E S S I O N A L   P Y T H O N

  • Packing and Unpacking Functions in Python
  • Strongly Dynamic Typing
  • Error Handling and Exceptions
  • Try / Except/ Raise
  • Local Persistence
  • Sending Email with Python and SMTP
  • Working with date and time
  • Hosting Python Code Online with PythonAnywhere

Module-7  WORKING WITH FRAMEWORKS

  • Introduction
  • What & Why?
  • Setup & Analyzing the Project Folder
  • Working with Apps
  • Creating Meet-up App With Django
  • URLs & Views
  • Getting Started with Templates
  • Static Files & First Steps with the Django Template Language
  • Key Django Template Language Features & Tags
  • Using What we Learned
  • Adding a Detail Page
  • Dynamic Paths
  • Dynamic URLs in Templates
  • Using Template Inheritance
  • Includes
  • What is Data?
  • Getting Started with Models
  • Using the Admin Panel
  • Querying Data
  • Adding Image Upload
  • Serving & Displaying Images
  • Configuring the Admin Area
  • Setting one-to-many Relations
  • many-to-many Relations
  • More Meetup Fields & Outputting Related Data
  • Creating a Modelform
  • Handling Form Submission
  • More on Form Submission & Validation
  • From Modelform to Form
  • Polishing Organizer Email
  • Optimizing URLs

Module-8  INTRODUCTION TO DATA SCIENCES 

  • Dataframe Inspection
  • Data Cleaning
  • Sorting Values in Dataframes
  • Arithmetic Operations with Pandas
  • Creating Line Charts with Matplotlib
  • Using Jupyter Notebook
  • Creating Scatterplots with Matplotlib
  • Creating Bar Charts, Pie Charts, Donut Charts, Box Plots with Plotly
  • Creating NumPy arrays
  • Array Slicing and Subsetting
  • Matrix Multiplication
  • Bitwise and Operators in Pandas
  • Creating Bubble Charts with Seaborn
  • Running Regressions with Scikit-Learn

Module-9Course Projects Portfolio (Assigned For Students’)

  • Text to Morse Code Converter
  • Portfolio Website
  • Tic Tac Toe Game
  • Image Watermarking App
  • Typing Speed Test
  • Breakout Game
  • Cafe and Wifi Website
  • Todo List Website
  • Disappearing Text Writing App
  • Image Color Palette Generator
  • Custom Web Scraper
  • Automating the Google Dinosaur Game
  • Space Invaders Game
  • Custom API Driven Website
  • An Online Shop
  • Custom Browser Automation
  • Analyze and Visualise the Space Race
  • Analyze Deaths Involving the Police in the US
  • Predict Earnings using Multivariable Regression

Who this course is for:

  • If you want to learn to code from scratch by building fun and useful projects, then take this course.
  • If you want to learn AI, Machine Learning and Data Sciences step-by-step with Python projects and hands-on course exercises
  • If you want to start your own startup by building your own websites and web apps.
  • If you are a complete beginner then this course will be everything you need to become a Python professional
  • If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects.

Who this course is for:

  • If you want to learn to code from scratch by building fun and useful projects, then take this course.
  • If you want to learn AI, Machine Learning and Data Sciences step-by-step with Python projects and hands-on course exercises
  • If you want to start your own startup by building your own websites and web apps.
  • If you are a complete beginner then this course will be everything you need to become a Python professional
  • If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects.

♋ Python Virtual Environments Download


📖 Certified Associate in Python Programming Exam Practice Test


International Student Fee:750 USD


Job Interview Preparation  (Questions & Answers)


Job Interview Preparation  (Soft Skills Questions & Answers)


 Your FREE eLEARNING Courses (Click Here)

Internships, Freelance and Full-Time Work opportunities


Flexible Class Options

  • Week End Classes For Professionals  SAT | SUN
  • Corporate Group Trainings Available
  • Online Classes – Live Virtual Class (L.V.C), Online Training

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Join FREE – Big Data Workshop 


KEY FEATURES

Flexible Classes Schedule

Online Classes for out of city / country students

Unlimited Learning - FREE Workshops

FREE Practice Exam

Internships Available

Free Course Recordings Videos

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