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The Complete Course: Artificial Intelligence From Scratch
Learn the Essential Concepts of the AI like Neural Networks, Classification, Regression and Optimization Using Python.

What you will learn

Learn the basic of Artificial Intelligence from scratch.

Learn how Neural Networks work.

Program Multilayer Perceptron Network from scratch in python.

You’ll know how recurrent neural networks work.

You’ll learn how to create LSTM networks using python and Keras

You’ll know how to forecast Google stock price with high accuracy

Use k Nearest Neighbor classification method to classify datasets.

Classify datasets by using Support Vector Machine method

Understand main concept behind Support Vector Machine method.

Classify Handwritten Images by Logistic classification method

You’ll know how Linear Regression work.

You’ll know how Multi Linear Regression work using sklearn and Python.

Program Logistic Regression from scratch in python.

Build Model to Predict CO2 and Global Temperature by Polynomial Regression.

You’ll know the ideas behind Genetic Algorithm.

You’ll know the ideas behind Particle Swarm Optimization Method.

You’ll know how to find optimum point for complicated Trigonometric functions.

You’ll learn how to solve well known problems like Travelling Salesman Problem (TSP).

Description

Do you like to learn how to forecast economic time series like stock price or indexes with high accuracy?

Do you like to know how to predict weather data like temperature and wind speed with a few lines of codes?

Do you like to classify Handwritten digits more accurately ?

If you say Yes so read more …

In computer science, Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. In this you are going to learn essential concepts of AI using Python:

Neural Networks

Classification Methods

Regression Analysis

Optimization Methods

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in the First, Second,Third sections you will learn Neural Networks

You will learn how to make Recurrent Neural Networks using Keras and LSTMs:

  • you’ll learn how to use python and Keras to forecast google stock price .
  • you’ll know how to use python and Keras to predict NASDAQ Index precisely.
  • you’ll learn how to use python and Keras to forecast New York temperature with low error.
  • you’ll know how to use python and Keras to predict New York Wind speed accurately.

In the next section you learn how to use python and sklearn MLPclassifier to forecast output of different datasets like

  • Logic Gates
  • Vehicles Datasets
  • Generated Datasets

In the third section you can forecast output of different datasets using Keras library like

  • Random datasets
  • Forecast International Airline passengers
  • Los Angeles temperature forecasting

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Next you will learn how to classify well known datasets into with high accuracy using k-Nearest Neighbors, Bayes, Support Vector Machine and Logistic Regression.

In the 4th section you learn how to use python and k-Nearest Neighbors to estimate output of your system. In this section you can classify:

  • Python Dataset
  • IRIS Flowers
  • Make your own k Nearest Neighbors Algorithm

In the 5th section you learn how to use Bayes and python to classify output of your system with nonlinear structure .In this section you can classify:

  • IRIS Flowers
  • Pima Indians Diabetes Database
  • Make your own Naive Bayes  Algorithm

You can also learn how to classify datasets by by Support Vector Machines to find the correct class for data and reduce error. Next you go further  You will learn how to classify output of model by using Logistic Regression

In the 6th section you learn how to use python to estimate output of your system. In this section you can estimate output of:

  • Random dataset
  • IRIS Flowers
  • Handwritten Digits

In the 7th section you learn how to use python to classify output of your system with nonlinear structure .In this section you can estimate output of:


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  • Blobs
  • IRIS Flowers
  • Handwritten Digits

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After it we are going to learn regression methods like Linear, Multi-Linear and Polynomial  Regression.

In the 8th section you learn how to use Linear Regression and python to estimate output of your system. In this section you can estimate output of:

  • Random Number
  • Diabetes
  • Boston House Price
  • Built in Dataset

In the 9th section you learn how to use python and Multi Linear Regression to estimate output of your system with multivariable inputs.In this section you can estimate output of:

  • Global Temprature
  • Total Sales of Advertising Campaign
  • Built in Dataset

In the 10th section you learn how to use python Polynomial Regression to estimate output of your system. In this section you can estimate output of:

  • Nonlinear Sine Function
  • Python Dataset
  • Temperature and CO2

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Finally I want to learn you theory behind bio inspired algorithms like Genetic Algorithm  and Particle Swarm Optimization Method. You’ll learn basic genetic operators like mutation crossover and selection and how they are work. You’ll learn basic concepts of Particle Swarm and how they are work.

In the 11th section you will learn how to use python and deap library to solve optimization problem and find Min/Max points for your desired functions using Genetic Algorithm.

  • you’ll learn theory of Genetic Algorithm Optimization Method
  • you’ll know how to use python and deap to optimize simple function precisely.
  • you’ll learn how to use python and deap to find optimum point of complicated Trigonometric function.
  • you’ll know how to use python and deap to solve  Travelling Salesman Problem (TSP) accurately.

In the 12th section we go further you will learn how to use python and deap library to solve optimization problem using Particle Swarm Optimization

  • you’ll learn theory of Particle Swarm Optimization Method
  • you’ll know how to use python and deap to optimize simple function precisely.
  • you’ll learn how to use python and deap to find optimum point of complicated Trigonometric function.
  • you’ll know how to use python and deap to solve  Rastrigin standard function accurately.

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Important information before you enroll:

  • In case you find the course useless for your career, don’t forget you are covered by a 30 day money back guarantee, full refund, no questions asked!
  • Once enrolled, you have unlimited, lifetime access to the course!
  • You will have instant and free access to any updates I’ll add to the course.
  • You will give you my full support regarding any issues or suggestions related to the course.
  • Check out the curriculum and FREE PREVIEW lectures for a quick insight.

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Music from Jukedeck – create your own at jukedeck com

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It’s time to take Action!

Click the “Take This Course” button at the top right now!

...Don’t waste time! Every second of every day is valuable

I can’t wait to see you in the course!

Best Regrads,

Sobhan

English
language

Content

Introduction

Introduction

Learn LSTM Neural Networks

Recurrent neural networks and LSTMs theory
Required Softwares and Libraries
Predict Google stock price using LSTMs – Part1
Predict Google stock price using LSTMs – Part2
Predict Google stock price using LSTMs – Part3
Predict Google stock price using LSTMs – Part4
Predict Google stock price using LSTMs – Part5
Source Code
Forecast NASDAQ Index using LSTMs and Keras library – Part 1
Forecast NASDAQ Index using LSTMs and Keras library – Part 2
Forecast NASDAQ Index using LSTMs and Keras library – Part 3
Forecast NASDAQ Index using LSTMs and Keras library – Part 4
Forecast NASDAQ Index using LSTMs and Keras library – Part 5
Source Code
Predict New York annual temperature using LSTMs – Part 1
Predict New York annual temperature using LSTMs – Part 2
Predict New York annual temperature using LSTMs – Part 3
Predict New York annual temperature using LSTMs – Part 4
Predict New York annual temperature using LSTMs – Part 5
Source Code
Forecast New York wind speed using LSTMs and Keras library – Part 1
Forecast New York wind speed using LSTMs and Keras library – Part 2
Forecast New York wind speed using LSTMs and Keras library – Part 3
Forecast New York wind speed using LSTMs and Keras library – Part 4
Forecast New York wind speed using LSTMs and Keras library – Part 5
Source Code
Recurrent Neural Networks and LSTMs Quiz

Learn Multi Layer Perceptron Neural Networks

Theory of MLP Neural Networks
Required Softwares and Libraries
Make MLP neural network to create Logic Gates
Source Code
Using MLP to Detect Vehicles Precisely Part 1
Using MLP to Detect Vehicles Precisely Part 2
Source Code
Classify random data using Multilayer Perceptron Part 1
Classify random data using Multilayer Perceptron Part 2
Source Code
Using Keras to forecast 1000 data with 100 features in a few seconds Part 1
Using Keras to forecast 1000 data with 100 features in a few seconds Part 2
Source Code
Forecasting international airline passengers using keras Part1
Forecasting international airline passengers using keras Part2
Source Code
Los Angeles Temperature Forecasting Part 1
Los Angeles Temperature Forecasting Part 2
Los Angeles Temperature Forecasting Part 3
Source Code
Multilayer Perceptron Neural Networks Quiz

k Nearest Neighbors Classification Method

Theory of k Nearest Neighbors Classification Method
Required Softwares and Libraries
Use k Nearest Neighbors Classification Method to classify random dataset Part 1
Use k Nearest Neighbors Classification Method to classify random dataset Part 2
Source Code
Learn How to Use k Nearest Neighbors Classification for IRIS Dataset
Source Code
Write k Nearest Neighbors Classification Method by yourself Part 1
Write k Nearest Neighbors Classification Method by yourself Part 2
Source Code
k Nearest Neighbors Classification Method Qiuz

Naive Bayes Classification Method

Theory of Naive Bayes Classification Method
Use the power of Naive Bayes to Classify IRIS Dataset Part 1
Use the power of Naive Bayes to Classify IRIS Dataset Part 2
Source Code
Learn how to Use Naive Bayes to Classify Diabetes dataset
Source Code
Write Naive Bayes Classification Method by Yourself Part 1
Write Naive Bayes Classification Method by Yourself Part 2
Source Code
Naive Bayes Classification Method Quiz

Support Vector Machine Classification Method

Theory of Support Vector Machine Classification Method
Support Vector Machine Classification Method for two classes dataset
Source Code
Use the Power of Support Vector Machine Method for IRIS dataset Part 1
Use the Power of Support Vector Machine Method for IRIS dataset Part 2
Source Code
Use Support Vector Machine for Hand Written Images Classification Part 1
Use Support Vector Machine for Hand Written Images Classification Part 2
Source Code

Logistic Regression Classification Method

Logistic Regression Classification Method
Use Logistic Regression Model for Blobs Data sets Classification Part-1
Use Logistic Regression Model for Blobs Data sets Classification Part-2
Source Code
Learn How to Use Logistic Regression Classifier for IRIS Flowers Classification
Source Code
Classify Handwritten Digits Using Logistic Regression
Source Code
Logistic Regression Analysis Quiz

Linear Regression Analysis

Linear Regression Theory
Required Softwares and Libraries
Use Linear Regression to Create Model for Random Numbers Part-1
Use Linear Regression to Create Model for Random Numbers Part-2
Source Code
Learn How to Create Linear Regression Model to Predict Diabetes Part-1
Learn How to Create Linear Regression Model to Predict Diabetes Part-2
Source Code
Linear Regression Model for Boston Houses Data set Part-1
Linear Regression Model for Boston Houses Data set Part-2
Source Code
Linear Regression Model for Built-in Data set
Source Code
Linear Regression Analysis Quiz

Multi Linear Regression

Multi Linear Regression Theory
Model Global Temperature Using Multilinear Regression Method Part-1
Model Global Temperature Using Multilinear Regression Method Part-2
Source Code
Make Best Advertising Campaign Using Multilinear Regression Model Part-1
Make Best Advertising Campaign Using Multilinear Regression Model Part-2
Source Code
Multi Linear Regression Model for built in dataset
Source Code
Multi Linear Regression Analysis Quiz

Polynomial Regression Analysis

Polynomial Regression Analysis Theory
Polynomial Regression Model for Sine Function Part-1
Polynomial Regression Model for Sine Function Part-2
Source Code
Learn How to Use Polynomial Regression Model for Built-in Dataset Part-1
Learn How to Use Polynomial Regression Model for Built-in Dataset Part-2
Source Code
Find the Relation between CO2 and Temperature by Polynomial Regression Part-1
Find the Relation between CO2 and Temperature by Polynomial Regression Part-2
Source Code
Polynomial Regression Analysis Quiz

Genetic Algorithm Optimization Method

Genetic Algorithm Optimization Method Theory
Required Softwares and Libraries
Optimize simple function by GA using deap library and python – Part 1
Optimize simple function by GA using deap library and python – Part 2
Optimize simple function by GA using deap library and python – Part 3
Optimize simple function by GA using deap library and python – Part 4
Source Code
Find optimum point of complicated Trigonometric function – Part 1
Find optimum point of complicated Trigonometric function – Part 2
Find optimum point of complicated Trigonometric function – Part 3
Find optimum point of complicated Trigonometric function – Part 4
Source Code
Solve well know optimization problem “Traveling Salesman Problem” using GA Part1
Solve well know optimization problem “Traveling Salesman Problem” using GA Part2
Solve well know optimization problem “Traveling Salesman Problem” using GA Part3
Solve well know optimization problem “Traveling Salesman Problem” using GA Part4
Source Code
Genetic Algorithm Optimization Method Quiz

Particle Swarm Optimization Theory

Particle Swarm Optimization Theory
Find optimum point of complicated Trigonometric function using PSO – Part 1
Find Minimum of Rastrign standard optimization function using PSO – Part 2
Find optimum point of complicated Trigonometric function using PSO – Part 3
Find Minimum of Rastrign standard optimization function using PSO – Part 4
Find Minimum of Rastrign standard optimization function using PSO – Part 5
Find Minimum of Rastrign standard optimization function using PSO – Part 6
Source Code
Solve Min/Max problem using Particle Swarm Optimization – Part 1
Solve Min/Max problem using Particle Swarm Optimization – Part 2
Solve Min/Max problem using Particle Swarm Optimization – Part 3
Solve Min/Max problem using Particle Swarm Optimization – Part 4
Solve Min/Max problem using Particle Swarm Optimization – Part 5
Solve Min/Max problem using Particle Swarm Optimization – Part 6
Source Code
Find Minimum of Rastrign standard optimization function using PSO – Part 1
Find Minimum of Rastrign standard optimization function using PSO – Part 2
Source Code
Particle Swarm Optimization Method Quiz