Gen AI Project | Log Classification System Using Deepseek R1 LLM, NLP, Regex, BERT
End-to-end Gen AI and machine learning project for beginners with source code. We will build a log classification system using a hybrid classification approach that utilizes BERT + Logistic regression, Regex, and LLM to classify the log text. We will also use DBScan clustering to identify prominent regex patterns.
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Code: https://github.com/codebasics/project-nlp-log-classification
⭐️ Timestamps ⭐️
00:00 Introduction
01:33 Problem Statement
10:31 Tech Architecture
18:09 Data Exploration
20:05 PyCharm Professional Installation
22:20 DB Scan Clustering
43:17 BERT Embeddings + Logistic Regression
50:27 Putting it all together
1:12:44 README and requirements file
1:17:08 FastAPI Backend
1:21:23 Resume Description
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Chapters (11)
Introduction
1:33
Problem Statement
10:31
Tech Architecture
18:09
Data Exploration
20:05
PyCharm Professional Installation
22:20
DB Scan Clustering
43:17
BERT Embeddings + Logistic Regression
50:27
Putting it all together
1:12:44
README and requirements file
1:17:08
FastAPI Backend
1:21:23
Resume Description
🎓
Tutor Explanation
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