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How Kaggle Helped Him Become ML Engineer With Mechanical Engineer Degree

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Manage episode 315874920 series 3286772
Contenuto fornito da Codebasics. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Codebasics o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Tanul Singh is a mechanical engineer having no degree in data science or computer science. Yet after finishing his b tech he lands his first job in data science field. How did he do this? Well using Kaggle. In this video interview we will discuss some kaggle tips that you can use to make a successful career in data science.

Tanul is working as a machine learning engineer in Javis and he will share some useful tips in this conversation.

Tanul's linkedin: https://www.linkedin.com/in/tanul-singh/

🌎 Website: https://www.skillbasics.com/

🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg

#️⃣ Social Media #️⃣

🔗 Discord: https://discord.gg/r42Kbuk

📸 Instagram: https://www.instagram.com/codebasicshub/

🔊 Facebook: https://www.facebook.com/codebasicshub

📱 Twitter: https://twitter.com/codebasicshub

📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/

📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/

❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

  continue reading

40 episodi

Artwork
iconCondividi
 
Manage episode 315874920 series 3286772
Contenuto fornito da Codebasics. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Codebasics o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Tanul Singh is a mechanical engineer having no degree in data science or computer science. Yet after finishing his b tech he lands his first job in data science field. How did he do this? Well using Kaggle. In this video interview we will discuss some kaggle tips that you can use to make a successful career in data science.

Tanul is working as a machine learning engineer in Javis and he will share some useful tips in this conversation.

Tanul's linkedin: https://www.linkedin.com/in/tanul-singh/

🌎 Website: https://www.skillbasics.com/

🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg

#️⃣ Social Media #️⃣

🔗 Discord: https://discord.gg/r42Kbuk

📸 Instagram: https://www.instagram.com/codebasicshub/

🔊 Facebook: https://www.facebook.com/codebasicshub

📱 Twitter: https://twitter.com/codebasicshub

📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/

📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/

❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

  continue reading

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