dataprofessor / code Goto Github PK

I have reviewed one of your Youtube video about how to import python packages into R but i met some problems when i doing the following.

library(reticulate)
reticulate::py_install(packages = "umap-learn")
repl_python()
import os
import umap

It's ok to do with import os but import umap gets my RStudio aborted

Reticulate is version: 1.24
R version 4.1.2
OS: Windows
Python version: 3.8.13

Pls can you help me figure out what's going wrong

Hello @dataprofessor, I just started to follow the "Web Apps in R: Build BMI Calculator web application in R for health monitoring | Shiny Tutorial Ep 5" tutorial. I´ve tried "run app" to get the pop-up window from the video and I encounter a problem:
Loading required package: shiny
Warning: package ‘shiny’ was built under R version 4.0.4
Warning: package ‘shinythemes’ was built under R version 4.0.5
Warning in file(con, "r") :
cannot open file 'about.md': No such file or directory
Error in file(con, "r") : cannot open the connection

I already tried "help">"check updates" and quitting but I only get a "you are using the newest version of R studio" message. Should I delete my current R and download directly the latest version? seems that the updates were not taken in my R studio.
Thanks a lot for your feedback :)

I have created a virtual environment using Miniconda but still, it's showing the same error again and again. Please help as I'm unavailable to run the code.

Professor I would like to get exercises to practice EDA in R. I'm new in this environment, I've been taking some courses and I'd like to practice.

@dataprofessor
If the code is run as is, it will display an error when building the Random Forest Model:

"Error in y - ymean : non-numeric argument to binary operator
In addition: Warning messages:..."

That is because the "Species" column in the TrainSet is passed as char

Therefore, the model cannot be created and the app can't be run.

To solve it, we just need to pass the "Species" column to the TrainSet as factor after line 24:

TrainSet <- read.csv("training.csv", header = TRUE)
str(TrainSet)
#Since here "Species" is a char column,
#we convert it to a factor
TrainSet[,"Species"] <- as.factor(TrainSet[,"Species"])
TrainSet <- TrainSet[,-1]
str(TrainSet)
#Now "Species" is a factor with three levels ;)

This will keep the Sepal and Petal Length and Width as num, but turn the Species into a 3 - level factor.

Thanks for all of your lessons!
jzambrano-xyz

i need help

/usr/local/lib/python3.6/dist-packages/rpy2/robjects/pandas2ri.py:14: FutureWarning: pandas.core.index is deprecated and will be removed in a future version. The public classes are available in the top-level namespace.
from pandas.core.index import Index as PandasIndex
/usr/local/lib/python3.6/dist-packages/rpy2/robjects/pandas2ri.py:34: UserWarning: pandas >= 1.0 is not supported.
warnings.warn('pandas >= 1.0 is not supported.')

Hello, I am seeking help with issue installing R magick package on google colab. First, I tried to do it in general way:
install.packages("magick")
and I get the output as follows:

Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)
Warning message in install.packages("magick"):
“installation of package ‘magick’ had non-zero exit status”

None of alternative solutions that I have found on kaggle like this one or this one worked in my case.

Can you please help me to figure out, what is the problem?

@dataprofessor How well will the current regression model perform on new drugs? On what type of data points(new chemicals) do you think from your perspective the model will perform badly?

I am in a class work in which I must develop a program in a virtual environment. My choice was '' Google Colab '', but when trying to activate my environment it always gives an error.

! conda create --name metawraptest-env python=3.7.10

WARNING: A conda environment already exists at '/usr/local/envs/metawraptest-env'
Remove existing environment (y/[n])? y

Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /usr/local/envs/metawraptest-env

  added / updated specs:
    - python=3.7.10


The following NEW packages will be INSTALLED:

  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main
  ca-certificates    pkgs/main/linux-64::ca-certificates-2021.4.13-h06a4308_1
  certifi            pkgs/main/linux-64::certifi-2020.12.5-py37h06a4308_0
  ld_impl_linux-64   pkgs/main/linux-64::ld_impl_linux-64-2.33.1-h53a641e_7
  libffi             pkgs/main/linux-64::libffi-3.3-he6710b0_2
  libgcc-ng          pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
  ncurses            pkgs/main/linux-64::ncurses-6.2-he6710b0_1
  openssl            pkgs/main/linux-64::openssl-1.1.1k-h27cfd23_0
  pip                pkgs/main/linux-64::pip-21.0.1-py37h06a4308_0
  python             pkgs/main/linux-64::python-3.7.10-hdb3f193_0
  readline           pkgs/main/linux-64::readline-8.1-h27cfd23_0
  setuptools         pkgs/main/linux-64::setuptools-52.0.0-py37h06a4308_0
  sqlite             pkgs/main/linux-64::sqlite-3.35.4-hdfb4753_0
  tk                 pkgs/main/linux-64::tk-8.6.10-hbc83047_0
  wheel              pkgs/main/noarch::wheel-0.36.2-pyhd3eb1b0_0
  xz                 pkgs/main/linux-64::xz-5.2.5-h7b6447c_0
  zlib               pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3


Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate metawraptest-env
#
# To deactivate an active environment, use
#
#     $ conda deactivate

But, when activating my environment, this appears:
$ conda activate metawraptest-env

File "<ipython-input-45-dbbb19337d51>", line 1
    $ conda activate metawraptest-env
    ^
SyntaxError: invalid syntax

Or this from here:
! conda activate metawraptest-env

CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'.
To initialize your shell, run

    $ conda init <SHELL_NAME>

Currently supported shells are:
  - bash
  - fish
  - tcsh
  - xonsh
  - zsh
  - powershell

See 'conda init --help' for more information and options.

IMPORTANT: You may need to close and restart your shell after running 'conda init'.

I tried to use '' Shell '', but it also gave error when using
$ conda init <SHELL_NAME>

 File "<ipython-input-46-248a41531067>", line 1
    $ conda init <SHELL_NAME>
    ^
SyntaxError: invalid syntax

The environment was created, but I can't activate it...
! conda env list

# conda environments:
#
base                  *  /usr/local
metawraptest-env         /usr/local/envs/metawraptest-env

Its giving an error how can to solve it?

iris <- read.csv(text = getURL("https://raw.githubusercontent.com/dataprofessor/data/master/iris.csv") )
Error in function (type, msg, asError = TRUE) :
error:1407742E:SSL routines:SSL23_GET_SERVER_HELLO:tlsv1 alert protocol version

Please help me to create a code

error message appears related to the lazypredict (and sklearn conflictions?)

cannot import name '_raise_dep_warning_if_not_pytest' from 'sklearn.utils.deprecation' (C:\Users\USER\anaconda3\lib\site-packages\sklearn\utils\deprecation.py)

colors = ['green', 'mustard', 'khaki']
for index in range(len(colors)):
print('Current color:', s[index])
print("Goodbye!")

How do i fix this error in R code on VS code any tips would help a ton.

✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()

Dear Professor,
I need machine learning code of more than 2 or more dependent variables.
Thanks
Ayesha