I delivered a talk at the Faculty Development Programme being organized by XIM, University, India and refresher programme being organized by Haldia Institute of Techonology, India.

Here are the materials from my talk.

Slides

Link to download the slides

Datasets

Links to download the original datasets:
Case Study-1: loan_data_set.csv https://www.kaggle.com/burak3ergun/loan-data-set/version/1
Case Study-2: all-data.csv https://www.kaggle.com/ankurzing/sentiment-analysis-for-financial-news

Codes

Case Study-1: https://github.com/sohomghosh/Data_Visualization_FDP/blob/main/CaseStudy_1_DataVisualization.ipynb
Case Study-2: https://github.com/sohomghosh/Data_Visualization_FDP/blob/main/CaseStudy_2_DataVisualization.ipynb
Bonus: Time Series Forecasting using Gradio https://github.com/sohomghosh/Data_Visualization_FDP/blob/main/gradio_time_series_forecasting.py

Documentations

Matplotlib:

• https://matplotlib.org/stable/contents.html
• https://matplotlib.org/stable/tutorials/index.html
• https://matplotlib.org/stable/gallery/index.html

Seaborn:

• https://seaborn.pydata.org/
• https://seaborn.pydata.org/tutorial.html
• https://seaborn.pydata.org/examples/index.html

Plotly:

• https://plotly.com/

SHAP:

• https://github.com/slundberg/shap

Word Cloud:

• http://amueller.github.io/word_cloud/

Spacy Visualizers:

• https://spacy.io/usage/visualizers

Scikit-learn:

• https://scikit-learn.org/stable/

Gradio

• https://gradio.app/docs/

Other References

https://www.kaggle.com/santhraul/bank-loan-exploratory-data-analysis/notebook
https://www.kaggle.com/ab9bhatia/complete-eda-for-loan-analysis/notebook
https://matplotlib.org/2.0.2/mpl_toolkits/mplot3d/tutorial.html
https://towardsdatascience.com/geographical-plotting-of-maps-with-plotly-4b5a5c95f02a
https://towardsdatascience.com/explainable-ai-xai-with-shap-regression-problem-b2d63fdca670
https://github.com/slundberg/shap

Reach me at:

Email: sohom1ghosh@gmail.com
Website: https://sohomghosh.github.io/
LinkedIn: https://www.linkedin.com/in/sohomghosh