Introduction about Python

Installation and configuration of Python IDE

Data  Types and Variables

conditional based statement Module

Loop based statement

Function in Python

Recursion and Recursive Fucntions

Introduction about Data Structure

List

Dictionary

Tuple and Set in python

Obhect Oriented Programing

File

Exception Handling

Python I/O

Lambda operator, Filter, Reduce amd map

Sequential Data Types

HTML

CSS

JavaScript

PHP

Bootstrap

• Arts and Crafts
• Handmade Skills
• Makeup and Fashion
• Home Decoration
• Pets and Pet Care
• Cooking
• Gardening

Installation & General Usage.

Unkix Architecture

Basic GNU/Unix Skills.

Network Based Command

Basic File Attributes.

Unix Environment.

Unix Processes Management.

Unix -The Shell .

Shell Programming.

Simple Filters.

IPython: An Interactive Computing And Development Environment.

Introduction To NumPy.

Understanding Data Types in Python.

The Basics of Numpy.

Computation on NumPy Arrays:  Universa; Functions.

Aggregations: Min Max and Everything in between.

A multidimensional Array Object.

Data Processing Using Arrays.

File Input And Output with Arrays.

Computation on Arrays: Broadcasting.

Comparison, Masks, and Boolean Logic.

 Fancy Indexing

Soriting Arrays

Structure Data : NumPy’s Structured Arrays.

Advanced Array Manipulation.

Getting Started with Pandas.

Data Loading, Stoage, And File Formats.

Data Indexing and Selection.

Operating on Data in Pandas.

Handling Missing Data.

Combining Datasets: Concat and Append.

Combining Datasets: Merge and Join.

Data Visualization with Pandas And Python.

Matplotlib Introduction

Simple Line Plots 

Histograms, Binnings and Density.

Spines and Tricks.

Legends and Annotations.

Python Images Processing

Image Processing Techniques

Introduction wxPython

Getting Started with wxPython

Basic Building Blocks of a user interface.

Layout Management.

Responding Events

Retrieving Information form Users.

Dialogs

Widgets

Advanced Widgets

Drop And Drop 

In18

Databases

Skeletons

Custom widgets

using xml resource files 

GD

Tips And Tricks

Gripts

Building and Managing Applications for Distribution.

Introduction to Information Security.

Virtualization Module 

Basic Networking

Batch Scripting 

Trojan And Viruses

Registry Hacking 

Windows Hacking 

Introduction Unix OS

Introduction Python 

Introduction Python.

Introduction HTML5, CSS, JavaScript.

Basic SQL injection

Social Networking. Hacking.

Introduction to Information Security.

Making your System

Exploration and Investigation

Google Hacking

Enumeration

Social Engineering

Scanning Networking

System Security.

Trojan and Virous.

Web Application Security.

Web Server Attack

Sniffing And Session Hijacking

Buffer Overflow.

Evading IDS/Firewall/Honeypot

Cryptoragraphy

Android Os Attack

Data Forensics /Recovery.

Physical Security.

Reverse Engineering.

Introduction.

Set up your Python Environment.

Basic Networking.

Windows Hacking.

BruteForce.

Advance Networking with Python.

Creating Trojan And Viruses.

Windows Privilege Escalation.

Identifying Targets with Nmap, Scapy, and Python.

Executing Credential Atttack with Python.

Exploiting Service with Python 

Introduction to Machine Learning

Fundamentals of Machine Learning

Regression

Classification into with K Nearest Neighbors

Support Vector Machine

Kernal Introduction

Machine Learning – Clustering Introduction

K – Means with Titanic Dataset

Introduction to Deep Learning with TensorFlow

Neural Networks with Scikit

Machine Learning with Scikit and Python

Introduction Naive Bayes Classifier

Naive Bayes Classifier with Scikit

Deep Learning with TensorFlow

Deep Learning with our own Data

Working with Text Data

Model Evaluation and Improvement

Convolutional Neural Network ( CNN ) Basics

Convolutional Neural Network CNN with TensorFlow

Using a 3D Convolutional Neural Network on Medical Imaging Data ( CT Scan ) for Kaggle

Classifying Cats vs Dogs with a Convolutional Neural Network on Kaggle

Using a Neural Network to solve OpenAI’s CartPole Balancing Environment

Introduction to Artificial Intelligence

Data Preprocessing

Classification and Regression Using Supervised Learning

Building Recommender System

Logic Programming

Unsupervised Learning: Clustering

Natural Language Processing

NLTK package

Analyzing Time Serise Data

Building Speech Recognition

Object Detection and Tracking

Heruistic Search

Gaming

Artificial Neural Network

Reinforcement Learning

Genetic Algorithms

Computer Vision

Deep Learning with Convolutional Neural Networks