GitHub - Sezibra/Applied_Data_Science_Methods: Applied Data Science Methods with Python (Data Analysis, Visualisation and Beyond)

My notes and the complete set of Python code from the IBM Applied Data Science Specialization.

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
126_IBM_Applied_Data_Science.ipynb		126_IBM_Applied_Data_Science.ipynb
129_IBM_Data_Analysis.ipynb		129_IBM_Data_Analysis.ipynb
130_IBM_Data_Wrangling.ipynb		130_IBM_Data_Wrangling.ipynb
131_IBM_Exploratory _Data_Analysis.ipynb		131_IBM_Exploratory _Data_Analysis.ipynb
132_IBM_Model_Development.ipynb		132_IBM_Model_Development.ipynb
133_IBM_Model_evaluation.ipynb		133_IBM_Model_evaluation.ipynb
134_Practice_Project.ipynb		134_Practice_Project.ipynb
136_IBM_Data_Viz.ipynb		136_IBM_Data_Viz.ipynb
137_IBM_SEABORN_FOLLIUM.ipynb		137_IBM_SEABORN_FOLLIUM.ipynb
138_IBM_Dashboarding.ipynb		138_IBM_Dashboarding.ipynb
139_Data_viz_project.ipynb		139_Data_viz_project.ipynb
140_ML_Predictive_Analytics.ipynb		140_ML_Predictive_Analytics.ipynb
README.md		README.md

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