You will need to perform exploratory data analysis on the Telco Churn Dataset. You need to submit a Jupyter Notebook containing the exploratory data analysis. The Notebook (.ipynb file) has to be present in a repository titled eda-taskphase-{{your first name}} on your GitHub account.
This task is about extracting insights and telling a story with the given data.
Refer the Kaggle Kernels for the given dataset to know more about EDA. Look for tags like eda, data visualisation etc.
Note:
- You can use either Python or R.
- Original submissions will be rewarded.
- Please do not implement any machine learning algorithms as part of this task.
Timeline for this task is as follows:
| Date | |
|---|---|
| 22nd September 2019 | Progress Check |
| 1st October 2019 | Final Submission |
Install Miniconda or Anaconda on your system. Once installed, you should be able to start a Jupyter Notebook server from the command line. Refer this article to get started with Jupyter Notebooks.
Good luck!