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machine_learning
machine_learning PublicKey Concepts and Approaches in Machine Learning with R & Python: Covering essential methodologies such as ARIMA, regression, regularization, classification, k-nearest neighbors (kNN), decision tree…
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python_fundamentals
python_fundamentals PublicKey Fundamentals of the Python Language: variables, strings, lists, dictionaries, tuples, for, if-elif-else, for, while, range, methods, functions, lambda, map, reduce, list comprehension.
Jupyter Notebook
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visualization_python
visualization_python PublicData Visualization with Python: Exploring statistical graphics, utilizing libraries such as Matplotlib for creating a variety of visualizations, enhancing data interpretation and analysis through e…
Jupyter Notebook
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R_Fundamentals
R_Fundamentals PublicStatistical Analysis Language R. Concepts of the language, RStudio, functions in R, operators, data visualization, statistics, ggplot2, lattice, tidyr, plyr, data types, vectors, matrices, lists, s…
R
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organization_visualization_python
organization_visualization_python PublicPython organization and visualization, Python ggplot graphics, Seaborn statistical charts, Matplotlib Dashboard and Linear Regression, advanced configuration and customization in Matplotlib
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