This repository contains four basic tasks of Data Analysis and Machine Learning.
There are following four warmup tasks of Data Analysis and Machine Learning in this repository:
Task1: Visualization
Task2: Univariate Analysis
Task3: Bivariate Analysis
Task4: Cluster Analysis
Details description is available in testdev-ML.txt.
Run an appropriate command inside the project folder.
To install the dependencies
pip install -r requirements.txt
To run all the tasks
python main.py -tl Visualization,UnivariateAnalysis,BivariateAnalysis,ClusterAnalysis --verbose
To run the specific task, pass the appropriate task name
python main.py -tl Visualization --verbose
Population by sex and five-year age from 1968 to 2017 (1990 to 2017 for the DOM)
Income structure and distribution, inequality of living standards in 2018
Customers Data for Cluster Analysis
Folder PATH listing
Volume serial number is A0F4-8B34
C:.
| .flake8con
| .gitignore
| main.py
| README.md
| requirements.txt
| test.py
| testdev-ML.txt
|
+---data
| customers.csv
| FILO2018_DEC_COM.xls
| pop-sexe-age-quinquennal6817.xls
|
+---outputs
| | population_perct_15_24_age.npy
| |
| \---visuals
| age_pyramid.png
| bivariate_analysis.png
| bivariate_analysis_subset.png
| inhabitants_histogram.png
| inhabitants_histogram_95p.png
| optimal_value_of_k.png
|
\---src
| __init__.py
|
+---tasks
| _bivariate_analysis.py
| _cluster_analysis.py
| _univariate_analysis.py
| _visualization.py
| __init__.py
|
\---utils
__init__.py
Observations about each task has been written as a comment inside the
python file at the appropriate place and result has been stored inside
outputs directory.