Download Udemy – Data Science and Machine Learning Fundamentals 2023-12

• Regression and prediction with machine learning models using supervised learning. This course has the most complete and fundamental master’s level regression content packages on Udemy, with useful practical theory, and automated machine learning algorithms for model building, feature selection, and artificial intelligence. You will be introduced to models from linear regression models to advanced multivariate polynomial regression models.
• Classification with machine learning models using supervised learning. You will learn about the classification process, classification theory and visualizations, as well as some useful classifier models, including Random Forest Classifier Ensembles and Voting Classifier Ensembles.
• Cluster analysis with machine learning models using unsupervised learning. In this part of the course, you will be introduced to unsupervised learning, cluster theory, artificial intelligence, exploratory data analysis, and seven useful machine learning clustering algorithms, from hierarchical clustering models to density-based clustering models. became.
• Basics of data science and machine learning. This course provides a very solid foundation and knowledge base for careers or studies in data science and machine learning.
• Advanced artificial intelligence predictive models and automated model generation. This video course contains videos that teach how to use very powerful algorithms for automatic model building.
• Text mining and advanced automation. You will learn to mine text data and the principles of text and sentiment mining such as tokenization, text data preparation, spell checking, wording, rooting, and text data classification.
• Mastery of Python and Pandas for data management.

This course includes

• A comprehensive and easy-to-master Python and Pandas training package for data management, enabling anyone to learn the course content regardless of prior knowledge of programming, spreadsheet software, Python, Pandas, data science, or machine learning. take
• An easy guide to downloading, installing and setting up the Anaconda Distribution that enables anyone to install the Python Data Science and Machine Learning environment for this course.
• Content that will teach you a lot of new things, regardless of whether you are a beginner or an experienced data scientist.
• A huge collection of unique content, and will teach you new things that you can only learn from this course on Udemy.
• Course structure based on a proven and professional framework for learning.
• Intensive course structure with no time to kill.

Is this course for you?

• This course is for you, whether you are a beginner or an experienced data scientist.
• This course is for you, whether you have no education or experience with a PhD.

Course requirements

• Four counting methods (+-*/)
• Basic day-to-day experience with Windows, Linux, Mac OS or similar operating systems

After completing this course, you will have

• Knowledge of data science and machine learning theory, algorithms, methods, best practices and tasks.
• Deep working knowledge of data science and machine learning, and know how to perform common data science and machine learning tasks.
• Ability to perform common data science and machine learning tasks with confidence.
• Master Python and Pandas for data management.
• Working knowledge and working knowledge of Scikit-learn, statistical models, Matplotlib, Seaborn and many other Python libraries.
• Detailed and in-depth master’s knowledge of regression prediction, classification, and cluster analysis.
• Advanced knowledge of AI predictive models and automated model creation.
• Advanced knowledge of text mining, text mining tasks and sentiment mining.

Installation guide

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