More Python Tips, Tricks, and Techniques for Data Science

Offered By: LinkedIn Learning

Tags

Python Courses Data Science Courses Machine Learning Courses Matplotlib Courses pandas Courses NumPy Courses Jupyter Notebooks Courses

Course Description

Overview

Deliver valuable insights to your users with Python. Get practical tips and techniques that can help you enhance your Python data science workflow.

Syllabus

Introduction

Tips and tricks in Python

1. IPython and Jupyter Notebook

Accessing methods and documentation
Errors and debugging
Code profiling and timing

2. NumPy and Pandas

Essentials of NumPy arrays
Broadcasting
Comparison, masks, and Boolean logic
Pandas indexing and subsetting
Handling missing data
Aggregation and grouping
Querying and filtering data

3. Visualization with Matplotlib

General plotting tips
Adding text and annotations
Multiple subplots

4. Machine Learning Tips

sklearn Estimator API
Model validation and hyperparameter tuning
Feature engineering
Creating machine learning pipelines

Conclusion

Next steps

Taught by

Harshit Tyagi

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