Master Classification with Pandas and Python [2025]
Learn to Master Classification with Pandas and Python for Data Science and Machine Learning [2025]
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537
students
36 hours
content
May 2025
last update
$13.99
regular price
What you will learn
Master Classification both in theory and practice
Master Classification models from Logistic Regression, and XGBoost Classifier to the Gaussian Naïve Bayes Classifier model
Use practical classification hands-on theory and learn to execute advanced Classification tasks with ease
Use advanced Decision Tree, Random Forest, and Voting Classifier models
Use Feedforward Multilayer Networks and Advanced Classifier model Structures
Use effective decision surfaces graphs and other tools to judge Classifier performance
Use the Scikit-learn library for Classification 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, and selecting Data from a Pandas DataFrame
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
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)
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6049539
udemy ID
29/06/2024
course created date
14/07/2024
course indexed date
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