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TORRENT DETAILS
The Complete R Programming For Data Science - 7 Courses In 1
TORRENT SUMMARY
The Walking Dead
Status:
All the torrents in this section have been verified by our verification system
TV Release: 2010-10-31 Torrent Release: 19-11-2020 by user
Swarm:
0 Seeds & 0 Peers
TV Show Genre:
Drama, Horror, Thriller
Runtime:
44 min.
Parental Rating:
[18+]TV-MA - Mature Audence Only
This program is specifically designed to be viewed by adults and therfore may be unsuitable for children under the age of 17. This program contains one of more of the following: graphic violence, explicit sexy times, or crude indecent language.
Awards:
Nominated for 1 Golden Globe. Another 75 wins & 207 nominations.
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No votes yet.
DESCRIPTION
Sheriff Deputy Rick Grimes gets shot and falls into a coma. When awoken he finds himself in a Zombie Apocalypse. Not knowing what to do he sets out to find his family, after he's done that he gets connected to a group to become the leader. He takes charge and tries to help this group of people survive, find a place to live, and get them food. This show is all about survival, the risks, and the things you'll have to do to survive.
Sinopsis by IMDB
Description
In The Complete R-Programming for Data Science & Statistics program, we have carefully designed 7 Full-Fledged courses into 1 Master Course of 200+ videos, 50+ R-Packages, Core Machine Learning and statistics concepts, 75+ practice problems and 2 Industrial projects
By end of this course, you will be able to solve Industry Data Science project in R starting including model building, model diagnostics and presenting actionable business insights
Here’s how you will progress across the 7 courses in the Master Course:
Getting started with R-programming: First, you will learn to write your own R code and perform basic programming tasks. You will begin with the base R programming course, where you will master the fundamental data structures such as vectors, lists, dataframes , understand the core programming constructs and get enough coding practice. You will also create full featured plots for data analysis using base graphics.
Advanced coding with Tidyverse: Then you will move to advanced coding in R based on the tidyverse using the dplyr package. You will start using the elegant pipe syntax provided by the magrittr package and the data manipulation verbs.
Data.table for data wrangling in R: Then You will move on to master the data.table package which has advanced capabilities for fast data manipulation. Data Scientists love this package for its incredible speed gains. Here, you will do fast data imports, create pivot tables and get comfortable with wrangling data. You will learn techniques to make your R code run super fast.
Ggplot2 Graphics in R: Once you gather the core R programming skills, you start creating professional looking plots using the famous ggplot2 package. You will be able to create any data analysis plot. Be it box plots, scatterplots, dual axis time series plots, because you will not just learn the syntax, but also learn the underlying structure behind it.
Statistical Foundations for Machine Learning: You will gain mastery over the ‘statistical foundations for machine learning’, which by itself is a full fledged statistics course. You will understand the core statistics concepts such as the law of large numbers, central limit theorem, normal distribution, how statistical significance tests such as the t-Test and ANOVA work and more, by solving multiple use cases of when and how to use them. You will know exactly how they work by following step-by-step hand computations and then implement in R to match the results. All the concepts are completely explained and demonstrated.
Statistical Modeling with Linear Regression and Case Study: After mastering statistics, you will achieve professional-level R skills with linear regression. You will understand:
What sort of industrial problems you can apply them on
Understand the math behind it
You will build the algorithm itself from scratch
Learn how to interpret the results
Perform post model building diagnostics
Learn how to present the model results in a way that is valuable to the business and project stakeholders
7. Logistics Regression for Business and Case Problem: You will understand: Then you learn the logistics regression with the same methodology of application, mathematics, building algorithm, interpreting results, diagnosing models and presenting insights
Professional Level Industry Projects: Finally, to gain and end-to-end professional Data Science project skills, you will solve two Industry projects –
