Master Artificial Intelligence 2022 : Build 6 AI Projects
- Descripción
- Currículum
- Reseñas
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.
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1Why should you learn Python?Video lesson
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2Installing Python and Jupyter NotebookVideo lesson
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3Understanding the Interface of Jupyter NotebookVideo lesson
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4Naming Convention for variablesVideo lesson
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5Built in Data Types and Type CastingVideo lesson
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6Scope of VariablesVideo lesson
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7Q and AVideo lesson
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8Quiz on Variables and Data TypesCuestionario
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9Quiz SolutionVideo lesson
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10Thanks for your SupportVideo lesson
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11Arithmetic and Assignment OperatorsVideo lesson
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12Comparison, Logical, and Bitwise OperatorsVideo lesson
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13Identity and Membership OperatorsVideo lesson
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14Quiz on OperatorsCuestionario
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15Quiz SolutionVideo lesson
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16String FormattingVideo lesson
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17String MethodsVideo lesson
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18User InputVideo lesson
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19Quiz on StringsCuestionario
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20Quiz SolutionVideo lesson
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21If, elif, and elseVideo lesson
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22For and WhileVideo lesson
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23Break and ContinueVideo lesson
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24Quiz on Loops and conditionalsCuestionario
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25Quiz SolutionVideo lesson
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26Differences between Lists and TuplesVideo lesson
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27Operations on ListsVideo lesson
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28Operations on TuplesVideo lesson
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29Quiz on Lists and TuplesCuestionario
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30Quiz SolutionVideo lesson
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31Introduction to DictionariesVideo lesson
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32Operations on DictionariesVideo lesson
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33Nested DictionariesVideo lesson
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34Introduction to SetsVideo lesson
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35Set OperationsVideo lesson
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36Quiz on Sets and DictionariesCuestionario
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37Quiz SolutionVideo lesson
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38Introduction to Stacks and QueuesVideo lesson
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39Implementing Stacks and Queues using ListsVideo lesson
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40Implementing Stacks and Queues using DequeVideo lesson
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41Quiz on Stacks and QueuesCuestionario
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42Quiz SolutionVideo lesson
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43Time ComplexityVideo lesson
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44Linear SearchVideo lesson
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45Binary SearchVideo lesson
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46Bubble SortVideo lesson
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47Insertion and Selection SortVideo lesson
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48Merge SortVideo lesson
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49Quiz on Searching, Sorting, and Time ComplexityCuestionario
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50Quiz SolutionVideo lesson
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51Introduction to FunctionsVideo lesson
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52Default Parameters in FunctionsVideo lesson
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53Positional ArgumentsVideo lesson
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54Keyword ArgumentsVideo lesson
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55Python ModulesVideo lesson
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56Quiz on Introduction to FunctionsCuestionario
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57Quiz SolutionVideo lesson
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58Lambda FunctionsVideo lesson
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59Filter, Map, and Zip FunctionsVideo lesson
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60List, set, and Dictionary ComprehensionsVideo lesson
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61Quiz on Anonymous FunctionsCuestionario
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62Quiz SolutionVideo lesson
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63Introduction to Aggregate FunctionsVideo lesson
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64Introduction to Analytical FunctionsVideo lesson
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65Quiz on In Built FunctionsCuestionario
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66Quiz SolutionVideo lesson
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67Solving the Factorial Problem using RecursionVideo lesson
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68Solving the Fibonacci Problem using RecursionVideo lesson
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69Quiz on RecursionsCuestionario
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70Quiz SolutionVideo lesson
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71Introduction to Classes and ObjectsVideo lesson
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72InheritanceVideo lesson
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73EncapsulationVideo lesson
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74PolymorphismVideo lesson
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75Quiz on Classes and ObjectsCuestionario
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76Quiz SolutionVideo lesson
