YoVDO

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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