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Download Torrent "Skillshare Data Science and Machine Learning with R Masterclass"

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Details
Title:Skillshare Data Science and Machine Learning with R Masterclass
Description:
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
Category:Books > Tutorials
Lang:English  English
Total Size:12.29 GB
Info Hash:3275e27467f911ebfd1f425c062bf2eafcc0bfb2
Added By:User0007
Date Added:04-04-2021 08:57:29

  

Files

File List: 
 File Size
01-data_science_and_ml_with_r_course_overview.mkv36 MB
02-what_is_data_science.mkv120 MB
03-machine_learning_overview.mkv71 MB
04-data_science_and_machine_learning_marketplace.mkv57 MB
05-dsand_ml_job_opportunities_.mkv31 MB
06-data_science_job_roles.mkv52 MB
07-getting_started_with_r.mkv103 MB
08-r_basics.mkv46 MB
09-r_files.mkv85 MB
10-r_tidyverse.mkv39 MB
11-r_studio.mkv49 MB
12-r_resources.mkv46 MB
13-data_types_and_structures_section_intro.mkv246 MB
14-basic_types.mkv43 MB
15-vectors_part_one.mkv101 MB
16-vectors_part_two.mkv189 MB
17-vectors_missing_values.mkv86 MB
18-vectors_coercion.mkv51 MB
19-vectors_naming.mkv38 MB
20-vectors_misc..mkv24 MB
21-creating_matrices.mkv152 MB
22-working_with_lists.mkv177 MB
23-introduction_to_data_frames.mkv172 MB
24-creating_data_frames.mkv147 MB
25-data_frames_helper_functions.mkv246 MB
26-data_frames-tibbles.mkv363 MB
27-intermediate_r_section_intro.mkv435 MB
28-relational_operators.mkv83 MB
29-logical_operators.mkv55 MB
30-conditional_statements.mkv74 MB
31-loops.mkv38 MB
32-functions.mkv101 MB
33-packages.mkv97 MB
34-factors.mkv200 MB
35-dates_and_times.mkv217 MB
36-functional_programming.mkv169 MB
37-data_importexport.mkv164 MB
38-databases.mkv258 MB
39-data_manipulation_in_r_section_intro.mkv334 MB
40-tidy_data.mkv68 MB
41-the_pipe_operator.mkv45 MB
42-the_filter_verb.mkv188 MB
43-the_select_verb.mkv214 MB
44-the_mutate_verb.mkv301 MB
45-the_arrange_verb.mkv80 MB
46-the_summarize_verb.mkv177 MB
47-data_pivoting.mkv365 MB
48-string_manipulation.mkv153 MB
49-web_scraping.mkv390 MB
50-json_parsing.mkv104 MB
51-data_visualization_in_r_intro.mkv55 MB
52-aesthetics_mappings.mkv220 MB
53-single_variable_plots.mkv342 MB
54-two-variable_plots.mkv171 MB
55-facets_layering_and_coordinate_systems.mkv179 MB
56-styling_and_saving.mkv87 MB
57-intro_to_r_markdown.mkv239 MB
58-intro_to_r_shiny.mkv233 MB
59-a_basic_webapp.mkv132 MB
60-other_webapp_examples.mkv180 MB
61-intro_to_machine_learning___part_1.mkv68 MB
62-intro_to_machine_learning___part_2.mkv447 MB
63-data_preprocessing_intro.mkv219 MB
64-data_preprocessing.mkv459 MB
65-linear_regression_a_simple_model_intro.mkv246 MB
66-linear_regression_a_simple_model.mkv558 MB
67-exploratory_data_analysis_intro.mkv220 MB
68-hands-on_exploratory_data_analysis.mkv607 MB
69-linear_regression_a_real_model_intro.mkv108 MB
70-linear_regression_a_real_model.mkv270 MB
71-logistic_regression_intro.mkv142 MB
72-logistic_regression_in_r.mkv186 MB
73-starting_a_data_science_career.mkv28 MB
74-creating_a_data_science_resume.mkv47 MB
75-getting_started_with_freelancing.mkv57 MB
skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares-sample.mkv9 MB
skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.nfo1.66 kB



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