Master Regression & Prediction with Pandas and Python [2026] By Henrik Johansson
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Master Regression & Prediction with Pandas and Python [2026] · Program
About this program
Master Regression & Prediction with Pandas and Python [2026]
Online Course
Learning format
Python
Subcategory
English
Course language
$19.99
Price
Price may change · updated within 1–2 weeks
Official program page
What you'll learn in Master Regression & Prediction with Pandas and Python [2026]
- Master Regression, Regression analysis, and Prediction both in theory and practice
- Master Regression models from simple Regression models to Polynomial Multiple Regression models and advanced Multivariate Polynomial Multiple Regression models
- Use Machine Learning Automatic Model Creation and Feature Selection
- Use Regularization of Regression models with Lasso Regression and Ridge Regression
- Use Decision Tree, Random Forest, XGBoost, and Voting Regression models
- Use Feedforward Multilayer Networks and Advanced Regression model Structures
- Use effective advanced Residual analysis and tools to judge models goodness-of-fit plus residual distributions
- Use the Statsmodels and Scikit-learn libraries for Regression supported by Matplotlib, Seaborn, Pandas, and Python
- Master Python 3 programming with Python’s native data structures, data transformers, functions, object orientation, and logic
- Use and design advanced Python constructions and execute detailed Data Handling tasks with Python incl. File Handling
- Use Python’s advanced object-oriented programming and make your own custom objects, functions and how to generalize functions
- Manipulate data and use advanced multi-dimensional uneven data structures
- Master the Pandas 2 and 3 library for Advanced Data Handling
- Use the language and fundamental concepts of the Pandas library and to handle all aspects of creating, changing, modifying, and selecting Data from a Pandas D
- Use file handling with Pandas and how to combine Pandas DataFrames with Pandas concat, join, and merge functions/methods
- Perform advanced data preparation including advanced model-based imputation of missing data and the scaling and standardizing of data
- Make advanced data descriptions and statistics with Pandas. Rank, sort, cross-tabulate, pivot, melt, transpose, and group data
- [Bonus] Make advanced Data Visualizations with Pandas, Matplotlib, and Seaborn
- Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources
- Option: To use the Anaconda Distribution (for Windows, Mac, Linux)
- Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages
What's Included in Master Regression & Prediction with Pandas and Python [2026]
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