1 Introduction.mp4 (23.63 MB)
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3 Incorporating GitHub Codespaces into this Course.mp4 (28.65 MB)
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4 A Review of Object-Oriented Programming Concepts.mp4 (29.95 MB)
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2 Handling User Input.mp4 (10.56 MB)
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3 Analyzing sentiment.mp4 (12.54 MB)
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4 Automated chatbot replies based on sentiment.mp4 (7.2 MB)
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5 Customizing chatbot responses based on sentiment analysis scores.mp4 (21.55 MB)
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6 Intiating the chatbot and generating sentiment-driven responses.mp4 (15.1 MB)
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2 Analyzing data with Pandas, Matplotlib, and Scikit-learn.mp4 (33.25 MB)
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3 Preparing and Scaling Data.mp4 (56.68 MB)
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4 Model Selection.mp4 (14.61 MB)
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5 Hyperparameter tuning.mp4 (20.91 MB)
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6 Linear Regression, Random Forest, and Gradient Boosting.mp4 (26.96 MB)
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7 Predicting prices using model evaluation outcomes.mp4 (29.49 MB)
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2 Setting Up MongoDB.mp4 (34.46 MB)
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3 Creating chat responses utilizing GPT-3 5 and Langchain.mp4 (20.27 MB)
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4 Retrieve conversation history for a specified session ID.mp4 (8.79 MB)
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5 Create new sessions and add chat history to existing sessions.mp4 (8.5 MB)
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6 Setting Up a FastAPI App with CORS, S3 Session, and Obtaining a Chat Response.mp4 (29 MB)
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7 Upload files to an Amazon S3 storage bucket.mp4 (15.81 MB)
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8 Deploying and Running the Chatbot.mp4 (29.95 MB)
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2 Introduction to API Communication with Python.mp4 (20.93 MB)
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3 File Uploads and Advanced API Interactions.mp4 (10.34 MB)
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4 Streamlit App Basics and File Handling.mp4 (12.87 MB)
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5 Uploading files to API endpoints with Streamlit.mp4 (8.77 MB)
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6 Creating a Chat Interface with Streamlit.mp4 (13.54 MB)
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7 Running the Front End of the Chatbot.mp4 (20.11 MB)
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