Diploma in Python -Web Development,Flask , AI, Machine Learning and Data Science

Diploma in Python -Web Development, AI, Machine Learning and Data Science

In this Diploma course, you will step-by-step 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 advance 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 programing (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 Flask
What is regularization and why it is useful
Data Sciences and Data Analysis

Module -1 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
Error Handling
Functions
For Loops
Code blocks and Indentation
While Loops
Python Dictionaries and Lists
Nested Collections
Returning Functions
Return vs. Print

Module-2 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
Python Turtle
Game Development with Python and OOP
Python Inheritance
Python Slice Function
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-3 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-4 WORKING WITH FRAMEWORKS

Introduction To Back-End Development
Learning About HTTP requests
Understanding the Concept Behind GET vs POST
“Hello, world” with Flask
Using render_template to send longer HTML strings
What is Jinja2?
Jinja2 Expressions
Working with data structures in Jinja2
Conditional statements in Jinja2
Using loops in Jinja2
Command Line
Working With Forms
Build Your Own Blog
Databases with SQLite

Module-5 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-6 Course Projects Portfolio

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.

International Student Fee : 1,000 USD