文件列表:

dhfr (0, 2021-01-22)
dhfr\dhfr-classification-deploy.R (1860, 2021-01-22)
dhfr\dhfr-classification.R (2204, 2021-01-22)
dhfr\dhfr-data-understanding.R (2049, 2021-01-22)
dhfr\dhfr-handling-missing-data.R (1913, 2021-01-22)
dhfr\dhfr-parallel-speed-up.R (2772, 2021-01-22)
iris (0, 2021-01-22)
iris\iris-classification.R (2285, 2021-01-22)
iris\iris-data-understanding.R (1964, 2021-01-22)
linear-regression (0, 2021-01-22)
linear-regression\boston-housing-linear-regression.R (1722, 2021-01-22)
plot (0, 2021-01-22)
plot\scatter-plot (0, 2021-01-22)
plot\scatter-plot\aromatase.csv (315454, 2021-01-22)
plot\scatter-plot\code-scatter-plot.R (5964, 2021-01-22)
python-in-r (0, 2021-01-22)
python-in-r\using-reticulate.R (1726, 2021-01-22)
python (0, 2021-01-22)
python\CDD_ML_Part_1_Acetylcholinesterase_Bioactivity_Data_Concised.ipynb (124747, 2021-01-22)
python\CDD_ML_Part_1_Bioactivity_Data_Concised.ipynb (67866, 2021-01-22)
python\CDD_ML_Part_1_bioactivity_data.ipynb (85900, 2021-01-22)
python\CDD_ML_Part_2_Acetylcholinesterase_Exploratory_Data_Analysis.ipynb (313244, 2021-01-22)
python\CDD_ML_Part_2_Exploratory_Data_Analysis.ipynb (226308, 2021-01-22)
python\CDD_ML_Part_3_Acetylcholinesterase_Descriptor_Dataset_Preparation.ipynb (208719, 2021-01-22)
python\CDD_ML_Part_4_Acetylcholinesterase_Regression_Random_Forest.ipynb (100076, 2021-01-22)
python\CDD_ML_Part_5_Acetylcholinesterase_Compare_Regressors.ipynb (230778, 2021-01-22)
python\Colab_File_handling_on_Google_Colab.ipynb (36193, 2021-01-22)
python\How_to_build_a_simple_linear_regression_model_in_python.ipynb (166833, 2021-01-22)
python\Hummingbird_ML.ipynb (11473, 2021-01-22)
python\PCA_analysis.ipynb (125948, 2021-01-22)
python\ROC_curve.ipynb (43007, 2021-01-22)
python\ROC_curve_kNN.ipynb (59298, 2021-01-22)
python\Sweetviz.ipynb (1894229, 2021-01-22)
python\cheminformatics_predicting_solubility.ipynb (308736, 2021-01-22)
python\cheminformatics_predicting_solubility_2_1_PyCaret.ipynb (62769, 2021-01-22)
python\cheminformatics_predicting_solubility_2_2_PyCaret.ipynb (1101744, 2021-01-22)
python\comparing-classifiers.ipynb (47794, 2021-01-22)
python\google_colab_install_conda.ipynb (12365, 2021-01-22)
... ...

# code This is a compilation of R programming codes used on the **Data Professor** YouTube channel tutorial videos. Folder | Description ---|--- [iris](https://github.com/dataprofessor/code/tree/master/iris) | Codes for performing *exploratory data analysis* (so as to gain *data understanding*) and for building *classification models* of the Iris dataset. [dhfr](https://github.com/dataprofessor/code/tree/master/dhfr) | Codes for performing *exploratory data analysis* (so as to gain *data understanding*) and for building *classification models* of the Iris dataset. [python](https://github.com/dataprofessor/code/tree/master/python) | Codes for various Python data science project tutorials. [shiny](https://github.com/dataprofessor/code/tree/master/shiny) | Codes for building *web applications* in R with *shiny* package. > Note: More to come. Please stay tuned!

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