# Python Django with Machine learning cource

### The course will cover Front-end **(html, css, js)** and Back-end **(Python, django, machine learning)**

### 50 Hours, 6 Hour per week, (Monday, Wedensday: from 7:00 PM to 10:00 PM)

# Cource content:

## **HTML5, CSS**
1. Build Your First Website
1. HTML Tags
1. Submitting a Form
1. HTML vs HTML5
1. Your First CSS
1. CSS Styling
1. CSS Properties
1. CSS Selectors
1. Text and Fonts in CSS
1. Images in CSS
1. Box Model
1. Advanced CSS
1. Critical Render Path
1. FlexBox
1. What is CSS3
1. Bootstrap 4 The FRONT End Master
1. Bootstrap 4
1. Using Boostrap
1. Bootstrap Grid Features
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## **JavaScript**
1. Developer Fundamentals
1. Introduction to JavaScript
1. Writing your First JavaScript
1. Variables in JavaScript
1. How to Use JavaScript on WebPage
1. Data Structures Arrays
1. Built In Methods
1. Data Structure Object
1. Code:loop

# Back-End Development

## **Python**
1. Python The Most Powerful Language
1. Python-and-Anaconda
1. Print and Input
1. String Concatenation
1. Data Types
1. Lists and Dictionaries in Short.
1. NOTES Operators
1. How to format Strings
1. if continue then Break.
1. Tuples and Sets
1. Dictionaries in Details
1. While Loop
1. Functions
1. Functions Parameters
1. Request Library

## **Django**
1. Django Basic Level
1. Django Introduction
1. Creating Django Project
1. Putting Web App On Local Server.
1. Django Theory MVC.
1. First View and URL Patterns
1. Connecting HTML with Django
1. Single Page Web App Exercise Solution
1. Multiple Pages Web App
1. Adding Static Files
1. Django Forms
1. How to Connect Machine Learning Model with Django

## **Machine Learning**
1. Fundamentals of Data Science
1. Machine Learning Introduction
1. Installing Required Libraries.
1. Getting Your Data
1. Loading Data.
1. Exploring Data
1. Some Basic Exploration
1. Data Visualization
1. Variable Types
1. Correcting
1. Converting
1. Machine Learning
1. Introduction to Machine Learning
1. Regression Easy Way.
1. Linear Regression Mean Squared Error
1. Mean Squared Error Exercise and Solution
1. Logic Regression
1. Decision Tree and Random Forests
1. Training Machine Learning Model
1. Matching Your Prediction With Kaggle