Udemy – Master Regression & Prediction with Pandas and Python [2025] 2024-5

You will learn to fully understand the basic building blocks of Python and object-oriented programming. You will also be able to design your own advanced structures based on Python’s building blocks and perform complex data processing tasks using Python. You will learn to fully master the Pandas library and use its powerful data processing techniques to perform advanced tasks in data science and machine learning. Pandas is a fast, powerful, flexible, and easy-to-use open source tool for data analysis and manipulation that can be used directly with the Python programming language.

What you will learn in the Master Regression & Prediction with Pandas and Python [2025] course

• Mastery of regression, regression analysis, and forecasting, both in theory and practice.
• Mastery of regression models from simple linear models to advanced multivariate polynomial regression models and XGBoost regression models
• Using automatic model creation and feature selection in machine learning
• Using Regularization of Regression Models with Lasso and Ridge Regression
• Using decision tree, random forest, XGBoost, and voting regression models
• Using Feedforward Multilayer Networks and advanced regression model structures
• Using advanced residual analysis and effective tools to assess the quality of model fit and residual distribution
• Using Statsmodels and Scikit-learn libraries for regression with support for Matplotlib, Seaborn, Pandas, and Python
• Master Python 3 programming using core Python data structures, data converters, functions, object-oriented programming, and logic.
• Use and design advanced Python constructs and perform sophisticated data processing tasks with Python, including file processing.
• Using Python’s advanced object-oriented programming and creating objects, custom functions, and how to extend functions
• Data manipulation and use of advanced irregular multidimensional data structures
• Mastery of Pandas 2 and 3 libraries for advanced data processing
• Use the basic language and concepts of the Pandas library and how to handle all aspects of creating, changing, modifying, and selecting data from a DataFrame object in Pandas.
• Using file processing with Pandas and how to combine Pandas DataFrames with the concat, join, and merge functions/methods in Pandas
• Perform advanced data preparation, including advanced model-based completion of missing data and data scaling and standardization
• Create advanced data descriptions and statistics with Pandas. Rank, sort, crosstabulate, pivot, melt, transpose, and group data.
• [Additional Building] Creating Advanced Data Visualizations with Pandas, Matplotlib, and Seaborn
• Cloud Computing: Using Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use cloud computing resources.
• Option: Use the Anaconda distribution (for Windows, Mac, Linux)
• Option: Learn the basics of a Python environment using the Conda package management system and installing/updating libraries and packages via the command line – Golden tips to improve the quality of your work life
•  And…

This course is suitable for people who:

• Want to master regression and forecasting
• Want to learn Python 3 from scratch or from a beginner level
• Want to learn Python 3 and are familiar with another programming language
• Want to reach the intermediate/master level of Python programming required in many of Udemy’s advanced courses in Python, data science, or machine learning
• They want to master the Pandas library.
• Want to learn data processing skills that act as a force multiplier and will use them throughout their careers
• Want to learn advanced data processing and improve their capabilities and productivity

Installation Guide

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