𝐋𝐢𝐬𝐭 𝐨𝐟 10 𝐬𝐭𝐞𝐩𝐬 𝐢𝐧𝐯𝐨𝐥𝐯𝐞𝐝 𝐢𝐧 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚𝐧 𝐀𝐜𝐭𝐮𝐚𝐫𝐢𝐚𝐥 𝐦𝐨𝐝𝐞𝐥 𝐮𝐬𝐢𝐧𝐠 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 ?

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 𝐋𝐢𝐬𝐭 𝐨𝐟 10 𝐬𝐭𝐞𝐩𝐬 𝐢𝐧𝐯𝐨𝐥𝐯𝐞𝐝 𝐢𝐧 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚𝐧 𝐀𝐜𝐭𝐮𝐚𝐫𝐢𝐚𝐥 𝐦𝐨𝐝𝐞𝐥 𝐮𝐬𝐢𝐧𝐠 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠:

via #Python #SQL #PowerBI #Git #Github #R 👇🏼👇🏼👇🏼

➊ Define the problem and objectives: 👇
Clearly define the problem and objectives of the model.

➋ Data collection: 👇
Gather and clean the necessary data for building the model.

➌ Data exploration: 👇
Explore the data to understand its characteristics, distributions, and relationships.

➍ Model design: 👇
Choose the appropriate actuarial method and design the model.

➎ Implementation: 👇
Implement the model using open source programming languages such as Python, SQL, etc.

➏ Model validation: 👇
Validate the model by comparing the results to actual data and checking the model's assumptions.

➐ Model testing: 👇
Test the model with various scenarios to ensure its accuracy and robustness.

➑ Visualization: 👇
Use data visualization tools such as PowerBI to represent the results of the model in a clear and understandable way.

➒ Deployment: 👇
Deploy the model in a suitable environment for use by stakeholders.

➓ Monitoring and maintenance: 👇
Continuously monitor the model and make updates as needed to ensure its accuracy and effectiveness.

𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐦𝐲 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐏𝐲𝐭𝐡𝐨𝐧 𝐚𝐧𝐝 𝐒𝐐𝐋 𝐟𝐨𝐫 𝐀𝐜𝐭𝐮𝐚𝐫𝐢𝐞𝐬

YouTube - Actuary Sense

Follow me on Linkedin: Kamal Sardana

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