2024 Complete Python, Artificial Intelligence & Web Development Bootcamp From Zero to Hero

• Introduction26:16
• python intro10:36
• Setting up python17:59
• Python Syntax25:25
• Python Variable & Comment -24:20
• Test/Quiz You must enroll to take this test
• Python Datatypes27:57
• Python String 122:45
• Test/Quiz You must enroll to take this test
• Python String 226:43
• Python Operators18:11
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• Python List24:30
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• Python Dictionary13:34
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• Python If Else Statement22:14
• Python While24:19
• Python For28:6
• Python Functions13:11
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• Python Into (Second Session)20:54
• Python Class Intro16:17
• Test/Quiz You must enroll to take this test
• Python file handle project22:42
• Python bank project 1 (Backend)22:4
• Python bank project 2 (Backend)29:40
• Python bank GUI Project 127:31
• Python bank GUI Project 214:9
• Creating Web Pages with Python24:57
• The next step as a Python Programmer10:33
• HTML(Introduction)28:21
• HTML Basics24:30
• HTML Tags30:5
• HTML Anchor Tag11:7
• HTML Image Tag23:4
• Test/Quiz You must enroll to take this test
• HTML Table (Part 1)27:12
• HTML Table (Part 2)14:58
• HTML Form (Part 1)25:9
• HTML Form (Part 2)28:58
• Test/Quiz You must enroll to take this test
• CSS (Introduction)15:49
• CSS Syntax22:7
• CSS Selector24:42
• CSS Using ID and CLASS12:45
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• CSS Background30:24
• CSS Border21:43
• CSS Text24:47
• CSS Font17:52
• CSS List12:33
• CSS End11:9
• Test/Quiz You must enroll to take this test
• JAVASCRIPT Syntax14:22
• JAVASCRIPT Variable and Comment24:15
• JAVASCRIPT Datatypes18:29
• JAVASCRIPT Operator(Part 1)21:23
• JAVASCRIPT Operator (Part 2)24:26
• JAVASCRIPT String Methods18:56
• JAVASCRIPT Number Methods29:34
• JAVASCRIPT Array11:48
• JAVASCRIPT If_Else Statement17:32
• JAVASCRIPT While loop11:8
• JAVASCRIPT For Loop29:29
• JAVASCRIPT Function30:10
• Test/Quiz You must enroll to take this test
• Building an e-Commerce Site with django (Bonus)13:36
• Javascript_HTML_DOM10:1
• Javascript_html_DOM_Getting_and_Changing_Objects19:30
• Javascript: Creating HTML Elements10:56
• JavaScript DOM Events12:37
• JavaScript Class14:27
• JavaScript Object Intro28:40
• JavaScript Object Properties28:50
• NodeJS Introduction23:48
• Installing NodeJS29:12
• NodeJS Modules20:55
• Node JS HTTP Module25:58
• NodeJS URL Module22:33
• NodeJS File System10:55
• NodeJS Module Combination20:21
• NodeJS Events20:22
• NodeJS File Upload24:11
• NodeJS Email17:8
• NodeJS MySQL Install Part 126:10
• NodeJS MySQL Install Part 217:55
• NodeJS MySQL Connect24:7
• NodeJS MySQL create Database and Table22:28
• NodeJS MySQL Insert19:8
• NodeJS MySQL Select14:45
• NodeJS MySQL Select Where18:28
• NodeJS MySQL SELECT ORDER BY and LIMIT20:38
• NodeJS MySQL UPDAtE26:58
• NodeJS MySQL create DROP and DELETE16:5
• Building a complete NodeJS Website Project 1 30:5
• Building a complete NodeJS Website Project 225:26
• Building a complete NodeJS Website Project 321:2
• Building a complete NodeJS Website Project 430:22
• Building a complete NodeJS Website Project 515:28
• ExpressJS16:59
• Introduction to Artificial Intelligence(Deep learning)28:45
• Example of Classification16:46
• classification 211:26
• Linear Boundries10:5
• Higher Dimensions27:19
• Perceptron(Definition)26:31
• Perceptron 219:40
• AND and OR Perceptron30:60
• XOR Perceptron28:34
• Perceptron Algorithm14:49
• Perceptron Algorithm 210:27
• Perceptron Algorithm Trick22:11
• Perceptron Algorithm Pseudocode27:43
• Non-Linear Regions24:38
• Error Functions16:54
• Discrete Vs Continuous23:25
• Discrete Vs Continuous 224:20
• Softmax13:54
• Softmax 230:6
• Softmax 324:20
• One-Hot Encoding14:45
• Maximum Liklihood15:31
• Maximum Liklihood 216:38
• Cross 127:1
• Cross Entropy26:39
• Cross Entropy27:27
• Formula For Cross 117:58
• Cross Entropy V127:37
• Multi-Class Cross Entropy26:31
• Error Function11:48
• Logistic Regression-Minimizing The Error Function19:21
• Gradient Descent17:18
• Gradient Descent Algorithm10:39
• Gradient Descent Vs Perceptron Algorithm17:7
• Continuous Perceptrons15:43
• Non-Linear Data26:50
• Non-Linear Models11:8
• Combinando Models27:37
• Neural Network Architecture14:29
• Layers11:54
• MultiClass Classification29:2
• Feed Foward11:51
• Neural Network Error Function18:12
• Back Propagation23:38
• Calculating the gradient16:12
• Chain Rule14:37
• Calculating the Gradient 227:13
• Training Optimization23:4
• Testing20:51
• Underfitting and Overfitting13:28
• Model Complexity Graph19:33
• Regularization26:16
• Dropout23:20
• Local Minima16:41
• Random Restart23:60
• Vanishing Gradient22:21
• Other Activation Functions24:56
• Batch vs Stochastic Gradient Descent19:36
• Learning rate28:52
• Momentum22:48
• Error Function Around The World16:31
• Three Secrets to making your Skill Marketable (Introduction)20:36
• Overview of the 3 secrets26:56
• Secret 1: Persona30:10
• Secret 2: Copywriting27:3
• Getting Attention16:29
• Sparking Interest25:2
• Creating Desire30:52
• Provoking Action20:56
• Secret 3: Video Persuasion10:39

Instructor

Samuel Obiniyi is a skilled Computer Engineer from Ahmadu Bello University and has years of experience as a professional instructor and trainer for Data Science, PHP, contemporary Web Development, Machine Learning and Python Programming. He has publications and patents in various fields. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and Python Programming to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Development for Prime and also provides in-person Programmming and python programming training courses to employees working at top companies, including Academi Information in Technology Profrssionals (AITP), Cigna, Whitedevon and many more...

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