Machine Learning with Python and Pandas Training Course
Pandas is a Python library for data manipulation and analysis. Using Pandas, users can perform predictive analysis through machine learning.
This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Pandas to preform predictive analysis with machine learning.
By the end of this training, participants will be able to:
- Perform data wrangling in Python.
- Conduct ETL operations for machine learning.
- Create data visualizations with Pandas
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction
Pandas Overview
- What is Pandas?
- Pandas features
Preparing the Development Environment
- Installing and configuring Pandas
Dataframes
- Loading a dataset
- Preparing data
- Using the Pandas API
- Working with calculations
Data Structures
- Working with series
- Using regex
- Binning data
- Normalizing data
Data Visualization
- Creating graphs with Matplotlib
- Using Seaborn
Data Assembly
- Concatenating data
- Merging data
Predictive Analysis
- Finding and replacing empty values
- Using index values
- Adding time series data
- Working with frequencies
Summary and Conclusion
Requirements
- An understanding of data analysis
- Python programming experience
Audience
- Data Scientists
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