Advanced Data Science Methods and Algorithms

Advanced Data Science Methods and Algorithms
2025-11-02
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Learn Advanced Data Science Methods and Algorithms with Pandas and Python

What you’ll learn
Knowledge about Advanced Data Science methods, algorithms, theory, best practices, and tasks
Deep hands-on knowledge of Advanced Data Science and know how to handle Data Science tasks with confidence
Advanced ensemble models such as the XGBoost models for prediction and classification
Detailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised Learning
Hands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python libraries
Advanced knowledge of A.I. prediction/classification models and automatic model creation
Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources
Master the Python 3 programming language for Data Handling
Master Pandas 2 and 3 for Advanced Data Handling

Requirements
The four ways of counting (+-*/)
Some Experience with Data Science, Data Analysis, or Machine Learning
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
Description
Who this course is for:
Anyone who wants to learn Advanced Data Science Methods and Algorithms, Anyone who wants to learn Python programming and to reach the intermediate level of Python programming knowledge as required by many Udemy courses!, Anyone who wants to master Pandas for Data Handling!, Anyone who knows Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know!, Anyone who wants to study at the University level and want to learn Advanced Data Science, Machine Learning, and Data Handling skills that they will have use for in their entire career!

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