python-data-analysis-modelling_beginner

This is source files of the online course 'Master Python Data Analysis and Modelling Essentials' on deepsim.institute.

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
data		data
images		images
results		results
1.1.contents_intr.pptx		1.1.contents_intr.pptx
1.2.data_analysis_model_intr.ipynb		1.2.data_analysis_model_intr.ipynb
2.1.install_anaconda_python.ipynb		2.1.install_anaconda_python.ipynb
2.2.packages_required.ipynb		2.2.packages_required.ipynb
2.3.install_packages_required.ipynb		2.3.install_packages_required.ipynb
2.4.creat_access_work_directory.ipynb		2.4.creat_access_work_directory.ipynb
3.1.read_write_data.ipynb		3.1.read_write_data.ipynb
3.2.acess_information.ipynb		3.2.acess_information.ipynb
3.3.rename_columns.ipynb		3.3.rename_columns.ipynb
3.4.slicing_data.ipynb		3.4.slicing_data.ipynb
3.5.sort_dataframe.ipynb		3.5.sort_dataframe.ipynb
3.6.filter_dataframe.ipynb		3.6.filter_dataframe.ipynb
3.7.group_dataframe.ipynb		3.7.group_dataframe.ipynb
3.8.calculate_statistics.ipynb		3.8.calculate_statistics.ipynb
4.1.missing_value_detection.ipynb		4.1.missing_value_detection.ipynb
4.2.impute_missing_values.ipynb		4.2.impute_missing_values.ipynb
4.3.outlier_detection.ipynb		4.3.outlier_detection.ipynb
4.4.outlier_treatement.ipynb		4.4.outlier_treatement.ipynb
4.5.correlation_feature_selection.ipynb		4.5.correlation_feature_selection.ipynb
4.6.encode_categorical.ipynb		4.6.encode_categorical.ipynb
4.7.split_data.ipynb		4.7.split_data.ipynb
4.8.data_normalization.ipynb		4.8.data_normalization.ipynb
5.1.linear_statmodel_process.ipynb		5.1.linear_statmodel_process.ipynb
5.2-5.7.linear_statmodel.ipynb		5.2-5.7.linear_statmodel.ipynb
6.1.linear_ml_model_process.ipynb		6.1.linear_ml_model_process.ipynb
6.2-6.5.linear_ml_model.ipynb		6.2-6.5.linear_ml_model.ipynb
README.md		README.md

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