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Python Environments
Data Science at SAMY
Introduction
1
Welcome to the Data Science Handbook
2
The Data Science team
Case Studies
3
Peaks and Pits
4
Conversation Landscape
5
Spam Classifier
Data Science project basics
6
A Data Science project
7
Project Key Players
8
Python Environments
Data Exploration
9
Data Cleaning
Modelling
10
Setting The Scene
11
Data Labelling and Collection
12
Data Labelling Stack
13
Model Training and Fine-Tuning
14
Method 1: Traditional Machine Learning with textual features
15
Method 2: SetFit
16
Method 3: Hugging Face Trainer API
17
Model Evaluation
18
Systematically Improving a Model
19
Model Inference
Development
20
Our Packages
21
Package Development
22
Testing in R
Tips and Tricks
23
Coding best practices
24
Calling APIs
25
Resources
8
Python Environments
Use this page for the info on Python environments
7
Project Key Players