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

• Regression and Prediction with Machine Learning Models using Supervised Learning . This course contains the most complete and fundamental master-level regression content package on Udemy, with useful practical theory and model building, feature selection, and automated machine learning algorithms for artificial intelligence. You will be introduced to models ranging 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 visualization, as well as some useful classifier models, including Random Forest Classifier Ensemble and Voting Classifier Ensemble.
• 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 a career or study 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 automated model building.
• Text mining and advanced automation. You will learn text data mining and its principles Text and sentiment mining Such as tokenization, text data preparation, spell checking, word generation, routing, 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 material, regardless of prior knowledge of programming, spreadsheet software, Python, Pandas, data science, or machine learning. Take
• A handy guide To download, install, and setup the Anaconda distribution Which enables anyone to set up the Python data science and machine learning environment for this course.
• Content that will teach you a lot of new things Whether you are a newbie or an experienced data scientist.
• Huge collection of unique content, And will teach you new things that you can only learn from this course on Udemy.
• The course structure is based on a Proven and professional framework for learning ,
• Intensive course structure There is 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, even if you have no PhD education or experience.

Course Requirements

• Four methods of counting (+-*/)
• 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 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 experience of Scikit-learn, statistical models, Matplotlib, Seaborn, and several other Python libraries.
• Detailed and in-depth master knowledge of regression prediction, classification and cluster analysis.
• Advanced knowledge of AI predictive models and automated model building.
• Advanced knowledge of text mining, text mining tasks, and sentiment mining.

installation Guide

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Subtitles: none

Quality: 1080p