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Master Artificial Intelligence 2022 : Build 6 AI Projects

Learn Artificial Intelligence with Python. Create Advanced Artificial Intelligence (AI) Applications with Python
Instructor:
Data Is Good Academy
45.556 estudiantes matriculados
English [Auto]
Machine Learning
Deep Learning
Natural Language Processing
Artificial Neural Network
Convolutional Neural Network
Recurrent Neural Network
Quizzes and exercises
Understand the theory
Build and train AI model
Apply AI in business applications
Build, train, deploy AI models in business
Understand the concept of Explainable AI

Are you ready to master Artificial Intelligence skills?

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.

It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. These machines are able to learn with experience and perform human-like tasks. As technologies such as AI continue to grow,

they will have a great impact on our quality of life.

Artificial intelligence (AI) is one of the top tech fields to be in right now!

Financial institutions, legal institutions, media companies, and insurance companies are all figuring out ways to use artificial intelligence (ai) to their advantage. From fraud detection to writing news stories with natural language processing(NLP) and reviewing law briefs, AI’s reach is extensive.

If you want to build super-powerful applications in artificial intelligence(ai).

Then, you are at the right place.

This course will provide you with in-depth knowledge on a very hot topic i.e., Artificial Intelligence(AI).

The purpose of this course is to provide you with knowledge of key aspects of modern AI without any intimidating mathematics and in a practical, easy, and fun way. The course provides students with practical hands-on experience using real-world datasets.

This course will cover the following topics:-

1. Natural Language Processing (NLP).

2. Artificial Neural Network (ANN).

3. Convolutional Neural Network (CNN).

4. Recurrent Neural Network. (RCN)

5. Machine Learning (ML).

6. Deep Learning (DL).

This course will take you through the basics to an advanced level in all the mentioned four topics.

After taking this course, you will be confident enough to work independently on any projects on these topics.

There are lots and lots of exercises for you to practice In this Python Data Science Course and also a  5 Bonus Data Science Project “Sentiment Analysis“, “Drug Prescription“, “Detecting Pneumonia from X-rays“, “Stock Market Prediction”, “Fruits Recognition” and “Face emotion Recognition“.

In this Sentiment Analysis project, you will learn how to Extract and Scrap Data from Social Media Websites and Extract out Beneficial Information from these Data for Driving Huge Business Insights.

In this Drug Prescription project, you will learn how to Deal with Data having Textual Features, you will also learn NLP Techniques to transform and Process the Data to find out Important Insights.

In this Detecting Pneumonia from X-rays project, you will learn how to solve Image Classification Tasks using Deep Neural Networks such as ResNet which is a High Level CNN Architectures.

In this Stock Market Prediction project, you will learn to analyze and the Stock Market Prices using Time Series Forecasting, Advanced Deep Learning Models and different Statistical features.

In this Fruits Recognition project, you will learn how to solve a complicated Image Classification Task with Multiple Classes using various Deep Learning Architectures and Compare the Result.

In this Face Expression Recognizer project, you will learn to use Computer Vision Techniques to detect Human Emotions such as Angry, Sad, Happy, Disgust, Fear etc. to build a Facial Emotion Detector.

Instructor Support – Quick Instructor Support for any queries.

I’m looking forward to see you in the course!

You will have access to all the resources used in this course.

Python Fundamentals

1
Why should you learn Python?
2
Installing Python and Jupyter Notebook
3
Understanding the Interface of Jupyter Notebook
4
Naming Convention for variables
5
Built in Data Types and Type Casting
6
Scope of Variables
7
Q and A
8
Quiz on Variables and Data Types
9
Quiz Solution
10
Thanks for your Support
11
Arithmetic and Assignment Operators
12
Comparison, Logical, and Bitwise Operators
13
Identity and Membership Operators
14
Quiz on Operators
15
Quiz Solution
16
String Formatting
17
String Methods
18
User Input
19
Quiz on Strings
20
Quiz Solution
21
If, elif, and else
22
For and While
23
Break and Continue
24
Quiz on Loops and conditionals
25
Quiz Solution

Python for Data Analysis

1
Differences between Lists and Tuples
2
Operations on Lists
3
Operations on Tuples
4
Quiz on Lists and Tuples
5
Quiz Solution
6
Introduction to Dictionaries
7
Operations on Dictionaries
8
Nested Dictionaries
9
Introduction to Sets
10
Set Operations
11
Quiz on Sets and Dictionaries
12
Quiz Solution
13
Introduction to Stacks and Queues
14
Implementing Stacks and Queues using Lists
15
Implementing Stacks and Queues using Deque
16
Quiz on Stacks and Queues
17
Quiz Solution
18
Time Complexity
19
Linear Search
20
Binary Search
21
Bubble Sort
22
Insertion and Selection Sort
23
Merge Sort
24
Quiz on Searching, Sorting, and Time Complexity
25
Quiz Solution

Python Functions Deep Dive

1
Introduction to Functions
2
Default Parameters in Functions
3
Positional Arguments
4
Keyword Arguments
5
Python Modules
6
Quiz on Introduction to Functions
7
Quiz Solution
8
Lambda Functions
9
Filter, Map, and Zip Functions
10
List, set, and Dictionary Comprehensions
11
Quiz on Anonymous Functions
12
Quiz Solution
13
Introduction to Aggregate Functions
14
Introduction to Analytical Functions
15
Quiz on In Built Functions
16
Quiz Solution
17
Solving the Factorial Problem using Recursion
18
Solving the Fibonacci Problem using Recursion
19
Quiz on Recursions
20
Quiz Solution
21
Introduction to Classes and Objects
22
Inheritance
23
Encapsulation
24
Polymorphism
25
Quiz on Classes and Objects
26
Quiz Solution

Python for Data Science

1
Introduction to datetime
2
The date and time class
3
The datetime class
4
The timedelta class
5
Quiz on Dates and Times
6
Quiz Solution
7
Meta Characters for Regular Expressions
8
Built-in Functions for Regular Expressions
9
Special Characters for Regular Expressions
10
Sets for Regular Expressions
11
Quiz on Regular Expressions
12
Quiz Solution
13
Array Creation using Numpy
14
Mathematical Operations using Numpy
15
Built-in Functions in Numpy
16
Quiz on Introduction to Numpy
17
Quiz Solution
18
Reading Datasets using Pandas
19
Plotting Data in Pandas
20
Indexing, Selecting, and Filtering Data using Pandas
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Garantía de devolución de dinero de 30 días

Incluye

21 horas de video a pedido
2 artículos
Acceso completo de por vida
Acceso en el móvil y en la televisión
Certificado de finalización
Master Artificial Intelligence 2022 : Build 6 AI Projects
Precio:
$19.99 $15
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