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Curriculum - 7 Hours 24 minutes

  • Introduction 
  • Setting up Python and Jupyter Notebook
  • Basics of Statistics
  • Introduction to Machine Learning
  • Data Preprocessing
  • Linear Regression
  • Bonus Section

Curriculum - 4 Hours 20 minutes

  • Xcode
  • Auto Layout
  • Bonus Auto Layout
  • Stack View
  • Stack View Exercise
  • Your First User Interface
  • Your First User Interface Exercise
  • Swift Basics
  • Connect Elements
  • User Interaction
  • Coding Logic
  • Conclusion

Curriculum - 3 Hours 02 minutes

  • Understanding Node JS
  • Node JS API Development
  • Node JS CRUD
  • Node JS Posts
  • Bonus

Curriculum - 6 Hours 19 minutes

  • Introduction
  • PHP Basics
  • PHP Arrays
  • PHP If,Else and Elseif
  • PHP Operators
  • PHP Loops
  • PHP Functions
  • PHP Restaurant Website Projects

Curriculum - 0 Hours 32 minutes

  • Introduction
  • MongoDb Overview and Installation
  • Commands in MongoDB
  • Working With Data

Curriculum - 29 Hours 24 minutes

  • Introduction
  • Full Stack Development Overview -2h 4min
  • HTML in Detail-4h 1min
  • CSS in Detail-7h 33min
  • Javascript in Detail-6h 48min
  • PHP in Detail-8h 47min

Curriculum - 3 Hours 11 minutes

  • Introduction
  • Introduction to MySQL and Installation
  • MySQL Basics
  • MySQL Advanced
  • Mastering PHP
  • PHP + MySQL : Practical Project
  • Python Basics
  • Python Database Programming

Curriculum - 2 Hours 08 minutes

  • Gathering Information - Grabbing Banners, Hostname and IP Lookup
  • Building a Basic Port Scanner using NMAP in Python
  • Grabbing Screenshots with Python
  • The Socket Module for Network Communication - A TCP Server-Client
  • The Scapy Module for Network Traffic Sniffing and Manipulation
  • Attacking Web Forms with requests and BeautifulSoup in Python
  • Discovering Subdomains with Python
  • Cracking Hashes with Python and Hashlib
  • Spoofing your MAC Address with Python
  • Finding Hidden Wireless Networks with Python
  • Additional Resources and Personal Message

Curriculum - 10 Hours 19 minutes

  • Introduction - Variables,Arithmatic Operators, Data Types,Numeric Conversions,Console Input
  • If,If-else,Switch Statements
  • Looping- While,Do While,Nested
  • All Arrays
  • Methods
  • Classes

Curriculum - 3 Hours 11 minutes

  • Machine Learning Basics
  • Classification
  • Regression
  • Kernal Methods and Boosting
  • Model Assessment and Selection
  • Neural Networks
  • Unsupervised Learning Basics and Random Forest
  • Ensemble Learning
  • Machine Learning Graphical Models

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