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lines changed- Module 4 - Machine Learning
- 01. Data Preparation and Modelling with sklearn
- 1. Hands-on with sklearn
- code
- data
- notes
- 2. Predicting Diamond Price
- code
- data
- img
- notes
- 02. Working with Text Data
- 1. Intro to Text Vectorization (AKA Feature Extraction)
- model
- 2. Custom Preprocessing for Text Data
- 3. Case Sudy - Email Spam Filtering
- data
- 4. Advance Text Vectorization
- data
- 5. Case Study - Email Spam Filtering
- data
- pretrained_models
- 6. Chatbots Development using RASA
- images
- notes
- 03. Working with Image Data
- 1. Intro to Images and Vectorization
- images
- image_types
- original_imgs
- transformed
- 2. Case Study - Recognising Hand Written Digits
- data/images
- 0
- 1
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