The Main AIM of this Project is that to show how i can integrate different Softwares through API Integrations
✅ To solve any Business Problems - I like to Connect Python with various Sources like Databases and Visualization software like Tableau and PowerBI. In short, I like the entire pipeline which solves business problems using Software API Integrations.
● 1.Business Problem:
- The problem is that the business environment of today is more competitive than it used to be.
- This leads to increased pressure in the workplace.
- Therefore, it is reasonable to expect that unachievable business goals and an elevated risk of unemployment can raise people's stress levels
- The purpose of the business exercise will be to explore whether a person presenting certain characteristics is expected to be away from work at some point in time or not.
● Final outcome:
- To develop a model that will predict the probability of an individual being excessively absent from work with visualizations key insights
🛠 Technical explanation of how I solved this integration project.
● Data Preprocessing:
- First, preprocessed the data. Devoted a significant amount of time to this step as it is a crucial part of every analytical task.
- Analyzed and understood each of technical details related to the business case, done EDA using python. Pre-processed the data. Explained the data insights, outcomes, and experimental findings with teams, and led in meetings and discussions.
● Machine Learning:
- Incorporated the work did in the preprocessing part into the code necessary for making the next step.
- Developed a model that predicts the probability of an individual being excessively absent from work.
- Numerous machine learning tools and techniques helped at this stage
- At the end, stored the work as a Python module called it as ‘absenteeism_module’ and thus preserved it in a form suitable for further analysis.
● Loading the ‘absenteeism_module’ and integrating Python and SQL:
- loaded the ‘absenteeism_module’ and used its methods to obtain predictions.
- Then, integrated Jupyter and MySQL Workbench to show an example of how Python and SQL can be connected.
- At the end,exported the final version of the data set as a *.csv file that was ready for furtherr analysis and visualization.
● Analyzed the predicted outputs in Tableau:
- Finally, utilized Tableau to analyse three separate dependencies between the inputs of model.
- The visualizations obtained with this software helped with great deal while looking for insight!
This is all about my Data Science End-To-End Project I hope You liked it and found it insightfull, you can try out in your projects as well!!
Please feel free to connect with me on any doubts regarding the project I will be more than glad to assist you all!
My LinkedIN: www.linkedin.com/in/saikiran-datascience
I also write Blogs on Data Science, Machine Learning and Artificial Intelligence https://saikirandasari41.medium.com/
Thanks and Have a wonderfull day :)