Master Classification with Pandas and Python [2024]

Learn to Master Classification with Pandas and Python for Data Science and Machine Learning [2024]

Created by: Henrik Johansson
Instructor at Udemy

What Will I Learn?

• Master Classification both in theory and practice
• Master Classification models from Logistic Regression 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)

Requirements

• Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended
• Access to a computer with an internet connection
• Programming experience is not needed and you will be taught everything you need
• The course only uses costless software
• Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included

Target audience

• Everyone who wants to learn to master Classification
• Everyone who wants to learn to Master Python 3 from scratch or the beginner level
• Everyone who wants to learn to Master Python 3 and knows another programming language
• Everyone who wants to reach the Master - intermediate Python programmer level as required by many advanced Udemy courses in Python, Data Science, or Machine Learning
• Everyone who wants to learn to Master the Pandas library
• Everyone who wants to learn Data Handling skills that work as a force multiplier and that they will have use of in their entire career
• Everyone who wants to learn advanced Data Handling and improve their capabilities and productivity