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1. Target-generation-using-Random-Forest-and-SVM-algorithms Target-generation-using-Random-Forest-and-SVM-algorithms Public

   The notebook provides a step-by-step guide to preparing and analyzing geospatial data and creating a target map using supervised ml techniques.

   Jupyter Notebook 2

2. missing_data_imputation missing_data_imputation Public

   Missing data is defined as the data value that is not stored for a variable. Missing values can occur when the information is not reported, the data is not recorded properly, or the information is …

   Jupyter Notebook

3. imbalanced_data imbalanced_data Public

   This notebook will walk you through the steps for dealing with an imbalanced dataset using an example of a real project that I recently completed.

   Jupyter Notebook

4. Spatial-analysis-of-EV-stations-in-ON Spatial-analysis-of-EV-stations-in-ON Public

   IPython Notebook for spatial data analysis of electric vehicle charging stations in Ontario, Canada.

   Jupyter Notebook 2 1

5. potential_field_canny_edge_detector potential_field_canny_edge_detector Public

   Uses Canny edge detector to identify lineaments from a geophysical anomaly map

   Jupyter Notebook 2

6. evaluation_metrics evaluation_metrics Public

   This notebook describes how to compute and derive insights from various classification evaluation metrics.

   Jupyter Notebook