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Skillshare Data Science and Machine Learning with R Masterclass
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About This Class
Learn Data Science and Machine Learning with R Masterclass

In this practical, hands-on class you're going to learn how to use R programming language for Data Science and Machine Learning!

Even if you already have some experience, or want to learn about the advanced features of Machine Learning and Data Science with R, this course is for you!

In this class you’ll learn:

How to create web apps with R Shiny
How to create markdown reports
R basics and fundatmentals
R intermediate and advanced functions
Data cleaning, processing, wrangling, visualization, and manipulation
Machine Learning and its various practical applications
How to use the various scripting and libraries within R
Machine Learning concepts and algorithms
Supervised vs unsupervised Machine Learning
Regression, classification, and clustering
How to build custom data solutions
How to create a professional data scientist resume
No matter what the scenario or how complicated a data problem may be, this class gives you the foundational training you need to solve real-world problems using Data Science and Machine Learning with R – and start pursuing a career in a field that is increasingly in demand as the global reliance on technology grows.


Title: Data Science and Machine Learning with R Masterclass
Publisher: Skillshare
Category: Technology
Size: 12587M
Files: 21F
Date: 2021-04-03
Course #: 1829727856
Published: Skillshare
Updated: N/A
URL: https://www.skillshare.com/classes/Data-Science-and-Machine-Learning-with-R-Masterclass/1829727856?category=technology
Author: Juan Galvan
Duration: 1d 4h 14m

68-hands-on_exploratory_data_analysis.mkv606.91 MiB
66-linear_regression_a_simple_model.mkv558.34 MiB
64-data_preprocessing.mkv459.25 MiB
62-intro_to_machine_learning___part_2.mkv446.9 MiB
27-intermediate_r_section_intro.mkv434.59 MiB
49-web_scraping.mkv389.67 MiB
47-data_pivoting.mkv365.06 MiB
26-data_frames-tibbles.mkv363.08 MiB
53-single_variable_plots.mkv341.87 MiB
39-data_manipulation_in_r_section_intro.mkv334.28 MiB
44-the_mutate_verb.mkv301.2 MiB
70-linear_regression_a_real_model.mkv269.58 MiB
38-databases.mkv257.66 MiB
65-linear_regression_a_simple_model_intro.mkv246.3 MiB
25-data_frames_helper_functions.mkv246.28 MiB
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57-intro_to_r_markdown.mkv239.45 MiB
58-intro_to_r_shiny.mkv232.54 MiB
52-aesthetics_mappings.mkv220.07 MiB
67-exploratory_data_analysis_intro.mkv219.64 MiB
63-data_preprocessing_intro.mkv219.35 MiB
35-dates_and_times.mkv217.28 MiB
43-the_select_verb.mkv213.59 MiB
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46-the_summarize_verb.mkv176.76 MiB
23-introduction_to_data_frames.mkv172.15 MiB
54-two-variable_plots.mkv170.59 MiB
36-functional_programming.mkv169.11 MiB
37-data_importexport.mkv164.49 MiB
48-string_manipulation.mkv152.78 MiB
21-creating_matrices.mkv152.25 MiB
24-creating_data_frames.mkv146.76 MiB
71-logistic_regression_intro.mkv142.47 MiB
59-a_basic_webapp.mkv132.06 MiB
02-what_is_data_science.mkv119.85 MiB
69-linear_regression_a_real_model_intro.mkv108.17 MiB
50-json_parsing.mkv103.91 MiB
07-getting_started_with_r.mkv102.82 MiB
15-vectors_part_one.mkv100.87 MiB
32-functions.mkv100.66 MiB
33-packages.mkv96.68 MiB
56-styling_and_saving.mkv87.19 MiB
17-vectors_missing_values.mkv86.13 MiB
09-r_files.mkv84.83 MiB
28-relational_operators.mkv82.78 MiB
45-the_arrange_verb.mkv79.62 MiB
30-conditional_statements.mkv74.14 MiB
03-machine_learning_overview.mkv70.54 MiB
61-intro_to_machine_learning___part_1.mkv68.42 MiB
40-tidy_data.mkv68.01 MiB
04-data_science_and_machine_learning_marketplace.mkv57.28 MiB
75-getting_started_with_freelancing.mkv56.56 MiB
51-data_visualization_in_r_intro.mkv54.95 MiB
29-logical_operators.mkv54.78 MiB
06-data_science_job_roles.mkv51.79 MiB
18-vectors_coercion.mkv51.1 MiB
11-r_studio.mkv49.4 MiB
74-creating_a_data_science_resume.mkv46.71 MiB
08-r_basics.mkv45.57 MiB
12-r_resources.mkv45.52 MiB
41-the_pipe_operator.mkv44.63 MiB
14-basic_types.mkv42.68 MiB
10-r_tidyverse.mkv38.59 MiB
19-vectors_naming.mkv38.4 MiB
31-loops.mkv37.76 MiB
01-data_science_and_ml_with_r_course_overview.mkv35.72 MiB
05-dsand_ml_job_opportunities_.mkv30.87 MiB
73-starting_a_data_science_career.mkv28.32 MiB
20-vectors_misc..mkv24.06 MiB
skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares-sample.mkv8.52 MiB
skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.nfo1.66 KiB