Udemy – Master Cluster Analysis with Python and Pandas [2024] 2024-9

What you will learn:

• Mastery of clustering analysis and unsupervised learning, both in theory and in practice
• Mastery of simple and advanced clustering analysis models
• Using K-means Cluster Analysis, DBSCAN, Hierarchical Cluster Models, Principal Component Analysis and more
• Evaluation of cluster analysis models using different tools
• Learning advanced theory of unsupervised and supervised learning and introduction to automatic simulations
• Understanding concepts such as model-based truth, predicted truth, or conditional truth
• Using advanced and effective graphic tools to judge the performance of models
• Using Scikit-learn libraries for cluster analysis and unsupervised learning, supported by Matplotlib, Seaborn, Pandas and Python
• Proficiency in Python 3 programming with native Python data structures, data converters, functions, object orientation and logic
• Use and design advanced Python structures and perform detailed data manipulation tasks with Python, including file manipulation
• Using advanced object-oriented programming in Python and building your own objects, custom functions, and how to extend functions
• Data manipulation and use of advanced irregular multidimensional data structures
• Mastery of Pandas 2 and 3 library for advanced data manipulation
• Using the fundamental language and concepts of the Pandas library and managing all aspects of creating, changing, modifying and selecting data from a Pandas DataFrame object.
• Using file manipulation with Pandas and how to combine Pandas DataFrames with Pandas concat, join and merge functions/methods
• Perform advanced data preparation, including model-based advanced missing data completion and data scaling and standardization
• Create advanced data descriptions and statistics with Pandas. Ranking, sorting, cross-tabulation, rotation, fusion, transpose and grouping of data
• [Additional video] Creating advanced data visualizations with Pandas, Matplotlib and Seaborn
• Cloud Computing: Using Anaconda Cloud Notebook (cloud-based Jupyter Notebook). Learning to use cloud computing resources

This course is suitable for people who:

• Want to master cluster analysis and unsupervised learning
• They want to learn Python 3 completely from the beginning or beginner level
• They want to learn Python 3 completely and they know another programming language
• Want to get to the master-intermediate Python programmer level, as many advanced UDM courses in Python, data science, or machine learning require
• They want to master the Pandas library
• They want to learn data manipulation skills that will act as a force multiplier and that they will use throughout their careers.
• They want to learn advanced data manipulation and improve their skills and productivity

Installation guide

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Subtitle: English

Quality: 1080p