Master Classification with Pandas and Python [2025]

Welcome to the course Master Classification with Pandas and Python. This three-in-one master class video course will teach you to master Classification, Python 3, Pandas 2 + 3, and advanced Data Handling. You will learn to master Classification with a number of advanced Classification techniques such as the XGBoost Classifier.

You will learn to handle advanced model structures such as feedforward artificial neural networks for classification tasks. Python 3 is one of the most popular and useful programming languages in the world, and Pandas 2 and future version 3 is the most powerful, efficient, and useful Data Handling library in existence. You will learn to master Python's native building blocks and powerful object-oriented programming.

You will design your own advanced constructions of Python's building blocks and execute detailed Data Handling tasks with Python. You will learn to master the Pandas library and to use its powerful Data Handling techniques for advanced Data Science and Machine Learning Data Handling tasks. The Pandas library is a fast, powerful, flexible, and easy-to-use open-source data analysis and data manipulation tool, which is directly usable with the Python programming language.

You will learn to:Master Classification both in theory and practiceMaster Classification models from Logistic Regression, and XGBoost Classifier to the Gaussian Naïve Bayes Classifier modelUse practical classification hands-on theory and learn to execute advanced Classification tasks with easeUse advanced Decision Tree, Random Forest, and Voting Classifier modelsUse Feedforward Multilayer Networks and Advanced Classifier model StructuresUse effective decision surfaces and other tools to judge Classifier performanceUse the Scikit-learn library for Classification supported by Matplotlib, Seaborn, Pandas, and PythonMaster Python 3 programming with Python's native data structures, data transformers, functions, object orientation, and logicUse and design advanced Python constructions and execute detailed Data Handling tasks with Python incl. File HandlingUse Python's advanced object-oriented programming and make your own custom objects, functions and how to generalize functionsManipulate data and use advanced multi-dimensional uneven data structuresMaster the Pandas 2 and 3 library for Advanced Data HandlingUse the language and fundamental concepts of the Pandas library and to handle all aspects of creating, changing, modifying, and selecting Data from a Pandas DataFrame objectUse file handling with Pandas and how to combine Pandas DataFrames with Pandas concat, join, and merge functions/methodsPerform advanced data preparation including advanced model-based imputation of missing data and the scaling and standardizing of dataMake advanced data descriptions and statistics with Pandas. Rank, sort, cross-tabulate, pivot, melt, transpose, and group dataMake advanced Data Visualizations with Pandas, Matplotlib, and SeabornCloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook).