Netherwulf / data-science-toolkit Public

Quick introduction and training in Pandas, StatsModels, Scikit-Learn, NumPy and SciPy done in Jupyter Notebook

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Name		Name	Last commit message	Last commit date
Latest commit History 88 Commits
.gitignore		.gitignore
01_pandas_introduction.ipynb		01_pandas_introduction.ipynb
02_statistical_tests_introduction.ipynb		02_statistical_tests_introduction.ipynb
03_normality_tests.ipynb		03_normality_tests.ipynb
04_t_tests.ipynb		04_t_tests.ipynb
05_nonparametric_tests.ipynb		05_nonparametric_tests.ipynb
06_anova.ipynb		06_anova.ipynb
07_data_analysis_introduction.ipynb		07_data_analysis_introduction.ipynb
08_data_preprocessing.ipynb		08_data_preprocessing.ipynb
09_dataframes_operations.ipynb		09_dataframes_operations.ipynb
10_classification.ipynb		10_classification.ipynb
LICENSE		LICENSE
README.md		README.md
anova_data.zip		anova_data.zip
dane_do_list_3-5.zip		dane_do_list_3-5.zip
igrzyska.xlsx		igrzyska.xlsx
igrzyska_list_7.csv		igrzyska_list_7.csv
igrzyska_list_8.csv		igrzyska_list_8.csv
olympic_games_gender.png		olympic_games_gender.png
olympic_games_gender_not_pruned.png		olympic_games_gender_not_pruned.png
requirements.txt		requirements.txt