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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
6
Influencer Landscape
Data Science project basics
7
A Data Science project
8
Project Key Players
9
Python Environments
Data Exploration
10
Data Cleaning
Modelling
11
Setting The Scene
12
Data Labelling and Collection
13
Data Labelling Stack
14
Model Training and Fine-Tuning
15
Method 1: Traditional Machine Learning with textual features
16
Method 2: SetFit
17
Method 3: Hugging Face Trainer API
18
Model Evaluation
19
Systematically Improving a Model
20
Model Inference
Development
21
Our Packages
22
Package Development
23
Testing in R
Tips and Tricks
24
Coding best practices
25
Calling APIs
26
Resources
9
Python Environments
Use this page for the info on Python environments
8
Project Key Players