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+--- Thread: The Complete NLP And GPT-4 Course Real-World Python Projects (/Thread-The-Complete-NLP-And-GPT-4-Course-Real-World-Python-Projects)
The Complete NLP And GPT-4 Course Real-World Python Projects - AD-TEAM - 01-14-2025
![[Image: 537368816_que-es-udemy-analisis-opiniones.jpg]](https://img100.pixhost.to/images/404/537368816_que-es-udemy-analisis-opiniones.jpg)
7.57 GB | 17min 15s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 -Introduction.mp4 (61.18 MB)
1 -Why Question Answering Systems Need NER.mp4 (21.37 MB)
2 -Why Chatbots Need NER.mp4 (51.98 MB)
3 -Loading and Initializing SpaCy Pipeline for NER (Practical Part 1).mp4 (122.32 MB)
4 -Exploring SpaCy NER Attributes Understanding Entity Details (Practical Part 2).mp4 (43.78 MB)
1 -Why Learn Part-of-Speech Tagging and Syntactic Parsing in NLP.mp4 (46.86 MB)
2 -Understanding Language Syntax Exploring Noun Phrases in Linguistics.mp4 (96.12 MB)
3 -Exploring Syntax Constituents Noun, Verb, Prepositional Phrases in Linguistics.mp4 (52.96 MB)
4 -Understanding Context-Free Grammar Building Blocks for NLP.mp4 (106.58 MB)
5 -Hands-On Part-of-Speech Tagging with NLTK.mp4 (62.54 MB)
6 -Practical Applications of Linguistic NLP Parsers.mp4 (56.82 MB)
7 -Real-World Applications of NLP Parsers Extracting Insights.mp4 (74 MB)
1 -Overview of This Section.mp4 (12.46 MB)
10 -ReGex Split Method re split() Regular Expressions.mp4 (33.55 MB)
11 -Regex Substitute Method re sub Regular Expressions.mp4 (38.95 MB)
12 -Search Method using Regex re search Regular Expressions.mp4 (44.11 MB)
13 -Part 1 Find All Emails in Contact Details Regular Expressions re findall().mp4 (47.26 MB)
14 -Part 2 Find All Emails in Contact Details Regular Expressions re findall().mp4 (43.9 MB)
2 -What is Tokenization Introduction to the Linguistic theory for tokenization.mp4 (11.04 MB)
3 -Linguistic theory for Word Segmentation.mp4 (14.71 MB)
4 -The Role of Cliticisation & Contractions in Tokenization.mp4 (23.06 MB)
5 -Tokenization with NLTK.mp4 (37 MB)
6 -Use Contractions Library To Expand Clitics.mp4 (64.09 MB)
7 -Introducing Regular Expressions.mp4 (20.03 MB)
8 -Word Segmentation using Python's split().mp4 (19.75 MB)
9 -Sentence Segmentation using Python's split.mp4 (28.91 MB)
1 -Linguistic Grammar Syntax Building Blocks of NLP.mp4 (69.41 MB)
2 -Grammar Syntax Part 2.mp4 (65.53 MB)
3 -How To Construct A Parse Tree.mp4 (32.77 MB)
4 -A Parse Tree Example - Python Practical Project.mp4 (69.71 MB)
5 -Part 1 Parse Tree Practical Project - Import Libraries.mp4 (163.32 MB)
6 -Part 3 Output Parse Tree Practical.mp4 (67.53 MB)
1 -netflix.zip (970.64 KB)
1 -Part 1 Netflix Recommendation Project Data Exploration.mp4 (166.92 MB)
2 -Part 2 Preprocessing Netflix Recommendation Project.mp4 (109.69 MB)
3 -Part 3 Pre-trained Data Netflix Recommendation System.mp4 (128.66 MB)
4 -Part 4 Examine Similarities with most similar Function.mp4 (56.22 MB)
5 -Part 5 Write Vectorize() Function Netflix Recommendation System.mp4 (99.82 MB)
6 -Part 6 Make function to Get Most Similar Shows Netflix Recommendation Project.mp4 (40.93 MB)
1 -Introducing NLP.mp4 (56.48 MB)
2 -Data Science In The Real World Part 1.mp4 (42.49 MB)
3 -Data Science In The Real World Part 2.mp4 (32.56 MB)
4 -NLP In The Real World.mp4 (80.38 MB)
1 -Intro to NLP & Transformers Foundations for GPT.mp4 (18.61 MB)
2 -An Overview of NLP Methods.mp4 (34.32 MB)
3 -Text Preprocessing.mp4 (75.26 MB)
4 -Text Normalization.mp4 (11.87 MB)
5 -Word Embeddings.mp4 (99.07 MB)
6 -Build a Model, Transfer Learning, Testing & Evaluating a Model.mp4 (77.59 MB)
1 -Welcome to GPT Math No Fear, Just Fun Learning!.mp4 (8.26 MB)
2 -High-Level GPT Logic Overview The Orchestra Analogy.mp4 (49.05 MB)
3 -Multi-Head Attention & GPT Math The Orchestra Continues.mp4 (31.6 MB)
4 -From Cosine Similarity to Self-Attention Friendships & Focus.mp4 (49.55 MB)
5 -High vs Low Attention Concept Making a Sandwich with GPT.mp4 (54.2 MB)
6 -Self-Attention Q, K, V Explaining the Math Equation Parameters.mp4 (39.96 MB)
7 -Scaling Factor in GPT's Self-Attention A Classroom Analogy.mp4 (36.5 MB)
8 -Self-Attention in Action Weighing Words for Coherent Text.mp4 (91.28 MB)
9 -Predicting the Next Step How GPT Continues A Story.mp4 (62.92 MB)
1 -Create and Set Up a New Google Colab Notebook.mp4 (15.31 MB)
2 -Open IPYNB Files and Locate Course Resources in Google Colab.mp4 (21.71 MB)
3 -Customizing Google Colab Settings Dark vs Light Mode and More.mp4 (17.13 MB)
1 -Instructions To Start This Chapter Download Your Google Colab Notebook.mp4 (11.36 MB)
2 -Install OpenAI & Import Libraries.mp4 (29.33 MB)
3 -How to Get Your OpenAI API Key.mp4 (69.09 MB)
4 -Create A List of Ingredients.mp4 (27.57 MB)
5 -Generate Three Random Ingredients From The List.mp4 (43.58 MB)
6 -Define a Function to Generate Recipes Using GPT-4 and OpenAI API.mp4 (86.88 MB)
7 -Generate and Display a Recipe with GPT-4 Calling the AI Chef Function.mp4 (121.25 MB)
1 -Introduction to Interactive Storytelling with GPT-4 Meet Elara's Adventure.mp4 (29.3 MB)
10 -Make Decisions For Your Story Character (Taught With Harley, My Doggo!).mp4 (55.63 MB)
11 -Enhancing User's Choices Character Can Explore, Interact, or Choose Bold Moves.mp4 (324.58 MB)
12 -Reviewing Story Outcomes See How User Choices Shape Elara's Adventure.mp4 (209.29 MB)
2 -Quick Setup For GPT-4 Install & Insert OpenAI API Key in Colab.mp4 (33.99 MB)
3 -Creating Story Prompts with GPT-4 Defining AI Responses in Python.mp4 (132.05 MB)
4 -Step 1 Start the Interactive Story with GPT-4-Setting the Scene.mp4 (87.24 MB)
5 -Organizing the Story Splitting into Chapters for Better Flow with GPT-4.mp4 (124.59 MB)
6 -Output The Split Chapters Organise The Main Character's (Elara) Adventure.mp4 (125.6 MB)
7 -Step 2 Make the Story Interactive-User Input Drives Elara's Adventure.mp4 (65.87 MB)
8 -Step 3 Guide the Main Character's (Elara) Journey Add User Choices.mp4 (225.97 MB)
9 -Step 3 1 Adding New Story Chapters-Tracking Elara's Adventure.mp4 (57.16 MB)
1 -Setting Up Tools for Financial NLP Analysis.mp4 (161.15 MB)
10 -Calculating Financial Risk Scores for Multiple Companies.mp4 (198 MB)
2 -Fetching Financial News Data for Analysis.mp4 (178.11 MB)
3 -Fetching Financial News for Targeted Companies.mp4 (165.75 MB)
4 -Exploring Pre-Trained Models Sentiment Analysis with Hugging Face.mp4 (239.19 MB)
5 -Using Sentiment Analysis for Financial Risk Assessment.mp4 (182.96 MB)
6 -Organizing Sentiment Results with DataFrames.mp4 (140.03 MB)
7 -Extracting Key Entities with NER Using SpaCy.mp4 (179.57 MB)
8 -Analyzing Financial News Entities Across Multiple Companies.mp4 (205.64 MB)
9 -Implementing a Risk Assessment Function Using Sentiment and Entities.mp4 (233.64 MB)
1 -Download Resource Workbook For This Section.mp4 (5.87 MB)
10 -What is a Module Organize Your Python Code.mp4 (15.56 MB)
11 -Creating a Module Reuse and Organize Your Code.mp4 (98 MB)
2 -Understanding Variables and Lists Your First Steps in Python.mp4 (44.37 MB)
3 -Creating Variables The Building Blocks of Python.mp4 (50.13 MB)
4 -Creating Lists Organize Data with Ease.mp4 (74.86 MB)
5 -Mastering If, Elif, Else Decision-Making in Python.mp4 (89.21 MB)
6 -If Statements with Multiple Conditions Handle Complex Logic.mp4 (47.12 MB)
7 -Introduction to Functions Simplify Your Code.mp4 (122.38 MB)
8 -Advanced Functions Parameters and Return Values.mp4 (66.95 MB)
9 -Python Terminology Scripts, Modules, Packages, Libraries.mp4 (53.4 MB)]
Screenshot
![[Image: LBBkz5e4_o.jpg]](https://images2.imgbox.com/69/f6/LBBkz5e4_o.jpg)
1 -Introduction.mp4 (61.18 MB)
1 -Why Question Answering Systems Need NER.mp4 (21.37 MB)
2 -Why Chatbots Need NER.mp4 (51.98 MB)
3 -Loading and Initializing SpaCy Pipeline for NER (Practical Part 1).mp4 (122.32 MB)
4 -Exploring SpaCy NER Attributes Understanding Entity Details (Practical Part 2).mp4 (43.78 MB)
1 -Why Learn Part-of-Speech Tagging and Syntactic Parsing in NLP.mp4 (46.86 MB)
2 -Understanding Language Syntax Exploring Noun Phrases in Linguistics.mp4 (96.12 MB)
3 -Exploring Syntax Constituents Noun, Verb, Prepositional Phrases in Linguistics.mp4 (52.96 MB)
4 -Understanding Context-Free Grammar Building Blocks for NLP.mp4 (106.58 MB)
5 -Hands-On Part-of-Speech Tagging with NLTK.mp4 (62.54 MB)
6 -Practical Applications of Linguistic NLP Parsers.mp4 (56.82 MB)
7 -Real-World Applications of NLP Parsers Extracting Insights.mp4 (74 MB)
1 -Overview of This Section.mp4 (12.46 MB)
10 -ReGex Split Method re split() Regular Expressions.mp4 (33.55 MB)
11 -Regex Substitute Method re sub Regular Expressions.mp4 (38.95 MB)
12 -Search Method using Regex re search Regular Expressions.mp4 (44.11 MB)
13 -Part 1 Find All Emails in Contact Details Regular Expressions re findall().mp4 (47.26 MB)
14 -Part 2 Find All Emails in Contact Details Regular Expressions re findall().mp4 (43.9 MB)
2 -What is Tokenization Introduction to the Linguistic theory for tokenization.mp4 (11.04 MB)
3 -Linguistic theory for Word Segmentation.mp4 (14.71 MB)
4 -The Role of Cliticisation & Contractions in Tokenization.mp4 (23.06 MB)
5 -Tokenization with NLTK.mp4 (37 MB)
6 -Use Contractions Library To Expand Clitics.mp4 (64.09 MB)
7 -Introducing Regular Expressions.mp4 (20.03 MB)
8 -Word Segmentation using Python's split().mp4 (19.75 MB)
9 -Sentence Segmentation using Python's split.mp4 (28.91 MB)
1 -Linguistic Grammar Syntax Building Blocks of NLP.mp4 (69.41 MB)
2 -Grammar Syntax Part 2.mp4 (65.53 MB)
3 -How To Construct A Parse Tree.mp4 (32.77 MB)
4 -A Parse Tree Example - Python Practical Project.mp4 (69.71 MB)
5 -Part 1 Parse Tree Practical Project - Import Libraries.mp4 (163.32 MB)
6 -Part 3 Output Parse Tree Practical.mp4 (67.53 MB)
1 -netflix.zip (970.64 KB)
1 -Part 1 Netflix Recommendation Project Data Exploration.mp4 (166.92 MB)
2 -Part 2 Preprocessing Netflix Recommendation Project.mp4 (109.69 MB)
3 -Part 3 Pre-trained Data Netflix Recommendation System.mp4 (128.66 MB)
4 -Part 4 Examine Similarities with most similar Function.mp4 (56.22 MB)
5 -Part 5 Write Vectorize() Function Netflix Recommendation System.mp4 (99.82 MB)
6 -Part 6 Make function to Get Most Similar Shows Netflix Recommendation Project.mp4 (40.93 MB)
1 -Introducing NLP.mp4 (56.48 MB)
2 -Data Science In The Real World Part 1.mp4 (42.49 MB)
3 -Data Science In The Real World Part 2.mp4 (32.56 MB)
4 -NLP In The Real World.mp4 (80.38 MB)
1 -Intro to NLP & Transformers Foundations for GPT.mp4 (18.61 MB)
2 -An Overview of NLP Methods.mp4 (34.32 MB)
3 -Text Preprocessing.mp4 (75.26 MB)
4 -Text Normalization.mp4 (11.87 MB)
5 -Word Embeddings.mp4 (99.07 MB)
6 -Build a Model, Transfer Learning, Testing & Evaluating a Model.mp4 (77.59 MB)
1 -Welcome to GPT Math No Fear, Just Fun Learning!.mp4 (8.26 MB)
2 -High-Level GPT Logic Overview The Orchestra Analogy.mp4 (49.05 MB)
3 -Multi-Head Attention & GPT Math The Orchestra Continues.mp4 (31.6 MB)
4 -From Cosine Similarity to Self-Attention Friendships & Focus.mp4 (49.55 MB)
5 -High vs Low Attention Concept Making a Sandwich with GPT.mp4 (54.2 MB)
6 -Self-Attention Q, K, V Explaining the Math Equation Parameters.mp4 (39.96 MB)
7 -Scaling Factor in GPT's Self-Attention A Classroom Analogy.mp4 (36.5 MB)
8 -Self-Attention in Action Weighing Words for Coherent Text.mp4 (91.28 MB)
9 -Predicting the Next Step How GPT Continues A Story.mp4 (62.92 MB)
1 -Create and Set Up a New Google Colab Notebook.mp4 (15.31 MB)
2 -Open IPYNB Files and Locate Course Resources in Google Colab.mp4 (21.71 MB)
3 -Customizing Google Colab Settings Dark vs Light Mode and More.mp4 (17.13 MB)
1 -Instructions To Start This Chapter Download Your Google Colab Notebook.mp4 (11.36 MB)
2 -Install OpenAI & Import Libraries.mp4 (29.33 MB)
3 -How to Get Your OpenAI API Key.mp4 (69.09 MB)
4 -Create A List of Ingredients.mp4 (27.57 MB)
5 -Generate Three Random Ingredients From The List.mp4 (43.58 MB)
6 -Define a Function to Generate Recipes Using GPT-4 and OpenAI API.mp4 (86.88 MB)
7 -Generate and Display a Recipe with GPT-4 Calling the AI Chef Function.mp4 (121.25 MB)
1 -Introduction to Interactive Storytelling with GPT-4 Meet Elara's Adventure.mp4 (29.3 MB)
10 -Make Decisions For Your Story Character (Taught With Harley, My Doggo!).mp4 (55.63 MB)
11 -Enhancing User's Choices Character Can Explore, Interact, or Choose Bold Moves.mp4 (324.58 MB)
12 -Reviewing Story Outcomes See How User Choices Shape Elara's Adventure.mp4 (209.29 MB)
2 -Quick Setup For GPT-4 Install & Insert OpenAI API Key in Colab.mp4 (33.99 MB)
3 -Creating Story Prompts with GPT-4 Defining AI Responses in Python.mp4 (132.05 MB)
4 -Step 1 Start the Interactive Story with GPT-4-Setting the Scene.mp4 (87.24 MB)
5 -Organizing the Story Splitting into Chapters for Better Flow with GPT-4.mp4 (124.59 MB)
6 -Output The Split Chapters Organise The Main Character's (Elara) Adventure.mp4 (125.6 MB)
7 -Step 2 Make the Story Interactive-User Input Drives Elara's Adventure.mp4 (65.87 MB)
8 -Step 3 Guide the Main Character's (Elara) Journey Add User Choices.mp4 (225.97 MB)
9 -Step 3 1 Adding New Story Chapters-Tracking Elara's Adventure.mp4 (57.16 MB)
1 -Setting Up Tools for Financial NLP Analysis.mp4 (161.15 MB)
10 -Calculating Financial Risk Scores for Multiple Companies.mp4 (198 MB)
2 -Fetching Financial News Data for Analysis.mp4 (178.11 MB)
3 -Fetching Financial News for Targeted Companies.mp4 (165.75 MB)
4 -Exploring Pre-Trained Models Sentiment Analysis with Hugging Face.mp4 (239.19 MB)
5 -Using Sentiment Analysis for Financial Risk Assessment.mp4 (182.96 MB)
6 -Organizing Sentiment Results with DataFrames.mp4 (140.03 MB)
7 -Extracting Key Entities with NER Using SpaCy.mp4 (179.57 MB)
8 -Analyzing Financial News Entities Across Multiple Companies.mp4 (205.64 MB)
9 -Implementing a Risk Assessment Function Using Sentiment and Entities.mp4 (233.64 MB)
1 -Download Resource Workbook For This Section.mp4 (5.87 MB)
10 -What is a Module Organize Your Python Code.mp4 (15.56 MB)
11 -Creating a Module Reuse and Organize Your Code.mp4 (98 MB)
2 -Understanding Variables and Lists Your First Steps in Python.mp4 (44.37 MB)
3 -Creating Variables The Building Blocks of Python.mp4 (50.13 MB)
4 -Creating Lists Organize Data with Ease.mp4 (74.86 MB)
5 -Mastering If, Elif, Else Decision-Making in Python.mp4 (89.21 MB)
6 -If Statements with Multiple Conditions Handle Complex Logic.mp4 (47.12 MB)
7 -Introduction to Functions Simplify Your Code.mp4 (122.38 MB)
8 -Advanced Functions Parameters and Return Values.mp4 (66.95 MB)
9 -Python Terminology Scripts, Modules, Packages, Libraries.mp4 (53.4 MB)]
Screenshot