| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Welcome | |||
| 1. Introduction and Outline.mp4 | 83.4 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 | ||
| 2. Before You Start.mp4 | 35 MB | ||
| 3. How to succeed in this course.mp4 | 38.1 MB | ||
| 4. Code-Link.url | 102.4 B | ||
| 4. Github-Link.url | 102.4 B | ||
| 4. Troubleshooting.url | 102.4 B | ||
| 4. Where to get the code.mp4 | 12.4 MB |
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)
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.2 GB | freecoursewb | 2 weeks | 10 | 10 | |
| 1.9 GB | freecoursewb | 1 month | 5 | 0 | |
| 2.6 GB | freecoursewb | 1 month | 6 | 3 | |
| 2.5 GB | freecoursewb | 1 month | 1 | 9 | |
| 1.5 GB | freecoursewb | 2 months | 6 | 7 |
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