Understanding Predictive Modeling with R

[@aaronmorris9716]

Wow! I have been trying to create a predictive model for the NFL. Thank you for the information! By far, the best I have encountered!

[@bavanisubramaniam9080]

The BEST explanation on how to create Predictive Model using R!!!! Thank you so much Mr.Bryan!!! You are simply awesome! Please keep up your amazing work! You are such an excellent teacher!!!! I loved the Microsoft Azure Machine Learning: Algorithm Cheat Sheet. It is very helpful!

[@BryanCafferky]

Thanks for the kind words. Glad it was useful!

[@abhishek894]

Thank you! Mr. Cafferky, for sharing such a nice, concise and illuminating video.

[@BryanCafferky]

Glad it is helpful.

[@hellasleepypal]

Hello Mr. Bryan, I also work in healthcare and I’m working on a pilot predictive modeling for CVD risk. I enjoyed your presentation and I’m am looking forward to learn more...

[@dr.mdsaruarbhuiyan1583]

Very very very nice. Easy to understand, well explained

[@prakharmathur107]

That was a great video. The first I have ever watched and did not get bored at all.

[@BryanCafferky]

Thanks!

[@squib3083]

PHENOMENAL teaching. Thank you.

[@BryanCafferky]

YW

[@paulmacharia1427]

Great content! Well explained and demonstrated

[@sny6558]

Thank you sir for this master class.

[@akhilachowdarykolla1963]

Hello Sir, This is the best explanation I have ever seen for understanding predictive modeling. Thank you so much for that. Can you please create videos about convolutional neural networks?

[@harryporterdigitalservices-r4m]

Thank you Sir. You have really helped me a lot on machine learning section. I wish you all the best as you Continue producing more videos.

[@BryanCafferky]

Glad it helped. Thanks for the feedback.

[@karlisrudaks8155]

Thank you, absolutely great explanations and fascinating information! Keep up the good work!

[@BryanCafferky]

Thanks!

[@marcosoliveira8731]

Really fascinating. Excelente explanation. Thank you.

[@lb1616]

Thank you so much for such an excellent explanation! Really helpful.

[@BryanCafferky]

YW. Glad you liked it.

[@mokshsinghmokshsingh]

Thank you. This was helpful.

[@gloiremouandza-vo9iw]

Hello. Thank you for this tutorial. I have a suggestion. could you make us a tuto on predictive analysis with a simple matrix that won't be long and that we can easily understand and reproduce in order to practice. And also how to detect errors in the predictive curve and how to correct them.

[@tmuffly1]

I really enjoyed your video. I am confused by the correlation plot at 35 minutes in. I have read that you can only put continuous data in a correlation plot but you included factors. Can you help me understand what variables can be included in a correlation plot please? Thank you for your great work in R.

[@BryanCafferky]

Sorry. Missed this. Yes. Correlation plots work best for continuous variables. For categorical variables, they will tend to group things. You can include them but it may not prove useful.

[@qinqian8356]

Very helpful! Thank you Bryan!

[@Dr.munna89]

Sir, can you please teach us environmental Kuznets curve in r?

[@fruitchy1099]

Thank you so much for this!

[@wesleyjoshua615]

dunno if anyone gives a damn but in less than 15 minutes I hacked my friends Instagram account using InstaPlekt. Find it on google ;)

[@alyahyai]

That was helpful, thank you

[@EduardoGallizzi]

Great video, Mr. Cafferky! Could you give me some idea about a topic for my bachelor thesis in Econ, having background in finance + R? I wanna mention it in my application for a Msc. in finance later on...

[@BryanCafferky]

Thanks. Lots of possibilities. Depends what you want to relate it to such as public policy, government regulation like the effect of taxation, economic disparity, etc. See this link www.core-econ.org/why-doing-economics-has-embraced-r/

[@BryanCafferky]

here's a free ebook on using R for econometrics. www.econometrics-with-r.org/

[@zveryok1]

Object Oriented programming 🙂 but...close enough. Great course!

[@rodrigomahlmeister8506]

Many thanks, Bryan! Do you recommend one specific method for income predicting? Using a sample survey data... Do you think the method you've explained in this video allows me do to it?

[@BryanCafferky]

Predicting amounts which are called continuous variables because almost infinite possible values is different from predicting a categoy like Fradulent/Not Fraudulent. Different approaches and models apply. You need to make sure you have enougb data to support a prediction and that the input variables strongly correlate to the result. This cannot be assumed. This may help. medium.com/@srnghn/machine-learning-trying-to-predict-a-numerical-value-8aafb9ad4d36

[@niranjangowda6787]

This is beautiful bro

[@seanogle9901]

Question: In order for you to incorporate a certain variable (e.g geography, time of year, etc), do you have to already establish statistical significance of that variable for the measurable outcome? Or can you use any variable you believe plays a role regardless of statistical significance?

[@kunalsevak998]

We can take a response variable and other sets of variables to do the Statistical Analysis. If you have time series data like Previous Year Wise or month wise records try to Map the Data using Time Series Model.

[@eyadha1]

Very helpful. Thank you

[@BryanCafferky]

YW! Thanks for watching and please tell others about my channel so they can benefit!!

[@BryanCafferky]

You can get the scripts for this video at: github.com/bcafferky/shared/tree/master/RPredictiveModeling

[@crystalw3464]

Hello, can you recommend projects for beginners that could be done with both R and python. I am interested in health care predictive analysis but may need something easier to begin with. I also would like to try to use python in R, so if you're able to please recommend a project that could be done with both! Thanks

[@BryanCafferky]

To use Python and R together, look at the R reticulate package rstudio.github.io/reticulate/. For data science project ideas, maybe this will help? www.kaggle.com/

[@munya5060]

Wonderful

[@oomeshheerauman7515]

Hi Bryan, thanks for the video, its really helpful. May I request you the R Code and dataset?

[@ittybittykitchen3067]

Hi my dataset is has only 3 variables- I am trying to determine email activity. Can I use Rattle for this? I only have duration, name and a unique ID

[@nouratinbk8356]

Teacher can you help me on this R-studio ?

[@BryanCafferky]

What is the question?

[@nouratinbk8356]

@@BryanCafferky I mean that I have questions about this application and I want you to help me with it, please

[@BryanCafferky]

@@nouratinbk8356 RStudio has excellent documentation. You can start here. www.rstudio.com/

[@BryanCafferky]

@@nouratinbk8356 You can also watch my video on using RStudio. kzbin.info/www/bejne/m3vZaaF8ja5jg80

[@nouratinbk8356]

@@BryanCafferky thank you teacher but But But the questions are about econometrics, specifically how to implement it. I have a research on how to create a model and I don't know how. If you can send me an email to help me I will be grateful to you

[@danieljackson654]

the R-Studio an integrated development environment does not appear with the link cited above. Is it no longer available with the windows version 3.6.3?

[@danieljackson654]

never mind.

[@BryanCafferky]

Right. I found it here. rstudio.com/products/rstudio/download/#download

[@danieljackson654]

@@BryanCafferky thanks. Done. Now to finish the video and work through the examples.

[@rajanbaraiya6]

Thank you :-)

[@circulartext]

nice

[@luckyprod9013]

Bryan please don't make any videos about quantic physics or the way the univers works because you will make me want to become a physicist !!!