Data cleansing using Python in Jupyter Notebook.
Budget: $10 – $30 USD
Using Python within a Juypter Notebook, the developer is to modify the dataset provided in the training_data_final.csv to include the following:
- For each row, the fields in Columns E through AK need to contain an average (mean) value. The range of values that needs to be
averaged is for COMMON OPPONENTS only. See attached PDF with Excel example for clarification.
- The final csv file described in the Deliverables section of this document is to have the following name: training_data_final_cleansed.csv.
- The Jupyter Notebook file (.ipynb) described in the Deliverables section of this document is to have the following name:
common_opponents_averaging.ipynb.
Here is a zip file that contains a specification, the dataset, and an explanation of what i'm trying to accomplish
- For each row, the fields in Columns E through AK need to contain an average (mean) value. The range of values that needs to be
averaged is for COMMON OPPONENTS only. See attached PDF with Excel example for clarification.
- The final csv file described in the Deliverables section of this document is to have the following name: training_data_final_cleansed.csv.
- The Jupyter Notebook file (.ipynb) described in the Deliverables section of this document is to have the following name:
common_opponents_averaging.ipynb.
Here is a zip file that contains a specification, the dataset, and an explanation of what i'm trying to accomplish
Related categories:
Python