Udemy - Machine Learning Project - Social Media Marketing in Pyth...

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 1.6 GB
  • Uploaded By freecoursewb
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Machine Learning Project: Social Media Marketing in Python

https://WebToolTip.com

Published 1/2026
Created by Lazy Programmer Inc.
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 11 Lectures ( 2h 31m ) | Size: 1.64 GB

Reddit Comment Score Prediction and Data Analytics with AI Language Models

What you'll learn
✓ Complete an end-to-end machine learning project using state-of-the-art AI tools
✓ Fine-tune a transformer language model to predict Reddit comment scores
✓ Perform zero-shot prediction using a state-of-the-art AI / LLM with the OpenAI API
✓ Understand the correct approach to a machine learning project, including establishing a baseline

Requirements
● Experience with classification and regression using neural networks
● Knowledge of loss functions for classification and regression
● Python programming experience
● Knowledge of metrics like accuracy, MSE, F1-score
● Understand train-test splitting, overfitting, generalization
● Knowledge of text-preprocessing: tokenization, truncation
● Understand the importance of context window length / maximum sequence length for sequence models
● Understand the concept of fine-tuning (the code and syntax will be shown to you)

Files:

[ WebToolTip.com ] Udemy - Machine Learning Project - Social Media Marketing in Python
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - Welcome
    • 1. Introduction and Outline.mp4 (83.4 MB)
    • 2. Before You Start.mp4 (35.0 MB)
    • 3. How to succeed in this course.mp4 (38.1 MB)
    • 4. Code-Link.url (0.1 KB)
    • 4. Github-Link.url (0.1 KB)
    • 4. Troubleshooting.url (0.1 KB)
    • 4. Where to get the code.mp4 (12.4 MB)
    2 - Fine-Tuning and Evaluating Language Models on Comment Scores
    • 10. Baseline Update.mp4 (31.4 MB)
    • 11. Course Takeaways.mp4 (43.8 MB)
    • 5. Fine-Tuning a Language Model for Classification.mp4 (539.3 MB)
    • 6. Fine-Tuning a Language Model for Regression.mp4 (311.8 MB)
    • 7. Evaluating Zero-Shot Classification Using an LLM Generative AI.mp4 (185.3 MB)
    • 8. Results Using More Data.mp4 (50.7 MB)
    • 9. Baseline Experiments.mp4 (347.3 MB)
    • Bonus Resources.txt (0.1 KB)

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