In this hands-on workshop, you will build a complete machine learning pipeline—from raw data to model evaluation. You will learn to: Prepare and clean data using NumPy and Pandas; Handle missing values with imputation techniques; Apply data transformation methods for effective modeling; Train linear models with hyperparameter tuning; Use cross-validation to assess and improve model performance.
talk-data.com
Topic
NumPy
scientific_computing
numerical_analysis
python
1
tagged
Activity Trend
16
peak/qtr
2020-Q1
2026-Q1
Top Events
O'Reilly Data Science Books
41
SciPy 2025
11
O'Reilly Data Visualization Books
8
O'Reilly Data Engineering Books
6
ADSP: Algorithms + Data Structures = Programs
3
PyData Paris 2025
3
PyConDE & PyData Berlin 2023
2
PyData Seattle 2025
2
Data Engineering Podcast
2
Introduction AI Mini Bootcamp - Dr. Yasin Ceran
1
[Online] Contributing to the NumPy Documentation
1
PyData Paris 2024
1
Filtering by:
Introduction AI Mini Bootcamp - Dr. Yasin Ceran
×