Jump to content
Sign in to follow this  
TheCornor

Predictive Analytics using R 3.5

Recommended Posts

de45065f3382e7fa4025887d26f3d988.png
Duration: 2h 8m | Video: h264 1920x1080 | Audio: AAC 48kHz 2Ch | 571 MB
Genre: eLearning | Language: English | September 27, 2019

Predictive modeling uses statistics to predict outcomes of events.


Explore advanced techniques and algorithms for predictive modeling to gain insights from your data

Apply various techniques and modeling algorithms by using R for ML tasks

Estimate and measure the performance of models used for regression and classification problems

Implement spot-checking methods for linear and nonlinear algorithms

Compare and select trained models and summarize the results with plotting techniques

Tune and apply machine learning algorithm hyperparameters with different methods

Summarize your data using descriptive statistics

It can be applied to any type of unknown event, regardless of when it occurred. This course will introduce you to the most widely used predictive modeling techniques and their core principles.

This course will help you to perform key predictive analytics tasks, such as training and testing predictive models for classification and regression tasks, and scoring new data sets. The course covers the most common data mining tools, such as k-means, hierarchical regression, linear regression, association rules, principal component analysis, multilevel modeling, k-NN, Naïve Bayes, decision trees, and text mining. It also describes visualization techniques using core tools to visualize patterns in data organized into groups.

By the end of the course, you will be able to design your own machine learning predictive models using R 3.5.

The code bundle for this course is available at:

Build ML models to carry out exploratory data analysis for gaining insights into accurate predictive modeling on newly uncovered data

Explore various techniques in R and its libraries to make accurate predictions and deliver great results

Design and build your own machine learning predictive models using R libraries and functions

DOWNLOAD
uploadgig

https://uploadgig.com/file/download/436E81961d305691/RpWDsPtD_.PredictiveAnalyticsusingR3.5Video.part1.rar
https://uploadgig.com/file/download/69ea8a91e84b51Af/RpWDsPtD_.PredictiveAnalyticsusingR3.5Video.part2.rar


rapidgator

https://rapidgator.net/file/cfefbdaa1f9f79eedfe3329c2f326912/RpWDsPtD_.PredictiveAnalyticsusingR3.5Video.part1.rar
https://rapidgator.net/file/770c9b2e214a15335db69d1d97d03ab6/RpWDsPtD_.PredictiveAnalyticsusingR3.5Video.part2.rar


nitroflare

http://nitroflare.com/view/D9730BD79A29008/RpWDsPtD_.PredictiveAnalyticsusingR3.5Video.part1.rar
http://nitroflare.com/view/1F3AC072B166B5F/RpWDsPtD_.PredictiveAnalyticsusingR3.5Video.part2.rar

Share this post


Link to post
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

Sign in to follow this  

Elite7Hackers Netwok

Hack the imagination!

Support and inquiries

Open support ticket here or email us at [email protected]

Highlights

Highlighted/recommended lights

×
×
  • Create New...

Important Information

By using this site, you agree to our Privacy Policy and Terms of Use.