Master Artificial Intelligence 2022 : Build 6 AI Projects
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- Curriculum
- FAQ
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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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3Naming Convention for variablesVideo lesson
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4Built in Data Types and Type CastingVideo lesson
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5Scope of VariablesVideo lesson
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6Quiz on Variables and Data TypesQuiz
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7Quiz SolutionVideo lesson
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8Arithmetic and Assignment OperatorsVideo lesson
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9Comparison, Logical, and Bitwise OperatorsVideo lesson
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10Identity and Membership OperatorsVideo lesson
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11Quiz on OperatorsQuiz
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12Quiz SolutionVideo lesson
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13String FormattingVideo lesson
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14String MethodsVideo lesson
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15User InputVideo lesson
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16Quiz on StringsQuiz
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17Quiz SolutionVideo lesson
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18If, elif, and elseVideo lesson
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19For and WhileVideo lesson
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20Break and ContinueVideo lesson
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21Quiz on Loops and conditionalsQuiz
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22Quiz SolutionVideo lesson
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23Differences between Lists and TuplesVideo lesson
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24Operations on ListsVideo lesson
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25Operations on TuplesVideo lesson
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26Quiz on Lists and TuplesQuiz
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27Quiz SolutionVideo lesson
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28Introduction to DictionariesVideo lesson
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29Operations on DictionariesVideo lesson
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30Nested DictionariesVideo lesson
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31Introduction to SetsVideo lesson
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32Set OperationsVideo lesson
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33Quiz on Sets and DictionariesQuiz
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34Quiz SolutionVideo lesson
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35Introduction to Stacks and QueuesVideo lesson
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36Implementing Stacks and Queues using ListsVideo lesson
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37Implementing Stacks and Queues using DequeVideo lesson
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38Quiz on Stacks and QueuesQuiz
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39Quiz SolutionVideo lesson
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40Time ComplexityVideo lesson
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41Linear SearchVideo lesson
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42Binary SearchVideo lesson
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43Bubble SortVideo lesson
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44Insertion and Selection SortVideo lesson
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45Merge SortVideo lesson
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46Quiz on Searching, Sorting, and Time ComplexityQuiz
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47Quiz SolutionVideo lesson
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48Introduction to FunctionsVideo lesson
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49Default Parameters in FunctionsVideo lesson
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50Positional ArgumentsVideo lesson
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51Keyword ArgumentsVideo lesson
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52Python ModulesVideo lesson
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53Quiz on Introduction to FunctionsQuiz
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54Quiz SolutionVideo lesson
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55Lambda FunctionsVideo lesson
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56Filter, Map, and Zip FunctionsVideo lesson
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57List, set, and Dictionary ComprehensionsVideo lesson
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58Quiz on Anonymous FunctionsQuiz
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59Quiz SolutionVideo lesson
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60Introduction to Aggregate FunctionsVideo lesson
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61Introduction to Analytical FunctionsVideo lesson
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62Quiz on In Built FunctionsQuiz
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63Quiz SolutionVideo lesson
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64Solving the Factorial Problem using RecursionVideo lesson
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65Solving the Fibonacci Problem using RecursionVideo lesson
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66Quiz on RecursionsQuiz
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67Quiz SolutionVideo lesson
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68Introduction to Classes and ObjectsVideo lesson
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69InheritanceVideo lesson
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70EncapsulationVideo lesson
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71PolymorphismVideo lesson
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72Quiz on Classes and ObjectsQuiz
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73Quiz SolutionVideo lesson
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