Hello Folks!
It's always a challenge for a machine learning practitioner to select appropriate features while keeping the focus on removing non-informative or redundant features from the model! Am I right? 😐
Well to tackle this, I have came up with a handy and useful video regarding various feature selection techniques to select the best and appropriate features for your Machine learning model! 😍😍
This Video is an all in one solution and covers various feature selection techniques such as:
🔰 𝐅𝐢𝐥𝐭𝐞𝐫 𝐌𝐞𝐭𝐡𝐨𝐝𝐬 - 𝐒𝐞𝐥𝐞𝐜𝐭𝐊𝐁𝐞𝐬𝐭 & 𝐕𝐚𝐫𝐢𝐚𝐧𝐜𝐞 𝐓𝐡𝐫𝐞𝐬𝐡𝐨𝐥𝐝
🔰 𝐃𝐞𝐜𝐨𝐝𝐢𝐧𝐠 𝐇𝐞𝐚𝐭𝐦𝐚𝐩𝐬 - 𝐇𝐨𝐰 𝐭𝐨 𝐒𝐞𝐥𝐞𝐜𝐭 𝐁𝐞𝐬𝐭 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬
🔰 𝐖𝐫𝐚𝐩𝐩𝐞𝐫 𝐌𝐞𝐭𝐡𝐨𝐝𝐬 - 𝐑𝐞𝐜𝐮𝐫𝐬𝐢𝐯𝐞 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐄𝐥𝐢𝐦𝐢𝐧𝐚𝐭𝐢𝐨𝐧 (𝐑𝐅𝐄)
Hope this video serves helpful! Please do Like and comment on your suggestions!
If you are new to my channel please don't forget to 𝐒𝐔𝐁𝐒𝐂𝐑𝐈𝐁𝐄!!🤗
Link to the Data:
https://www.kaggle.com/iabhishekoffic...
Link to the Code:
https://github.com/GauravSahani1417/K...\\
Connect me on Linkedin:
/ gaurav-sahani-6177a7179
𝐓𝐡𝐚𝐧𝐤𝐬 𝐟𝐨𝐫 𝐖𝐚𝐭𝐜𝐡𝐢𝐧𝐠! 😊
Watch video Simple Feature Selection Techniques | Easy to Implement! ✅ online without registration, duration hours minute second in high quality. This video was added by user Gaurav Sahani 18 June 2021, don't forget to share it with your friends and acquaintances, it has been viewed on our site 291 once and liked it 33 people.