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Data Visualizations
Data Visualizations - Python
Topic Documents
Тематические документы
xW7E2KbUrZ8CRM0Sxgq3JgdaH6y2fHhaHo7cVyas.pdf
Data Visualizations
Data Visualizations - R
Topic Documents
Тематические документы
PtG0sZG1kq4QQ0a5eJgLmRYJBtTbk8290ocsMBZF.pdf
About The Course
О курсе
  • R for Data Visualizations
  • Data Visualizations with R
  • Data Visualizations Projects
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Prerequisite for Data Analysis
Topic Documents
Тематические документы
0ulIPQIRKckj4GRkN83qOA8pqRJHMNsS73xZzTvf.pdf
About The Course
О курсе
werty
Data Analysis - Python
Topic Documents
Тематические документы
P9DSIYzh3LzlTfYu72CQonDhl1Ij4YrS6e0B5DqH.xls
IZVSDkmq2SfXAGYRP7UeQ2k2wb0MZRdykaT9cYYA.pdf
werty
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Topic Documents
Тематические документы
LWnRT0jLMCkgLFkMRBnECkgr9SjOKHqz17jBQMJQ.3gp
About The Course
О курсе
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Prerequisite for Machine Learning
Topic Documents
Тематические документы
About The Course
О курсе

Machine Learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computer systems or machines to learn from data and make predictions or decisions without being explicitly programmed to do so. In the context of Python and R, machine learning involves using these programming languages along with libraries like scikit-learn (Python) and caret (R) to implement and apply various ML algorithms. Understanding mathematical concepts relevant to ML, such as linear algebra, calculus, and probability, is crucial for effectively designing and training ML models. Machine learning tutorials, projects, and interview questions further deepen understanding and proficiency in this field.

 

 

Prerequisite for Machine Learning

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qwerty
Topic Documents
Тематические документы
JxsGDRijLVbn5MsaCYEjjB3MNLfsnlutvxSlccVq.pdf
About The Course
О курсе

qwerty

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Topic Documents
Тематические документы
j6aJsGpVU3jiCk1wMI9usZ1sZzNW6WQvq5UBOoXr.pdf
About The Course
О курсе
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