Nazia Nazia is a Data Science Community Evangelist at DPhi. She is a Data Science enthusiast and an avid coder with an entrepreneurial streak. Following her passion for Data Science along with her entrepreneurial experience she now works with DPhi.

Best Notebooks from the Machine Learning Bootcamp

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Hello DPhiers!

The Machine Learning Bootcamp saw a lot of enthusiastic learners participate and complete the bootcamp both in the ‘Machine Learning Bootcamp – Beginner’ track and the ‘Machine Learning Bootcamp – Advanced’ track.

Apart from making it to the top in the leaderboard, what also helps you practice and get better is sharing knowledge and learning from others.

During the notebooks review process, our awesome coaches/community contributors have put an additional effort to shortlist some of the best notebooks so that community can learn and take inspiration from them. Thanks to Manish, Gunnika, Jay Ram, Asha Pareek, Tanmay Laud, for putting this together. We hope the community will make the most of it. Further, we have also added all the resources of ML Bootcamp for everyone’s reference below. Feel free to share it with your peers/colleagues who may want to get started with Machine Learning.

ML Bootcamp Resources

Now, here comes the best notebooks!

Machine Learning – Advance Track

1. Model Deployment Notebooks :

NameNotebook Link
Ricardo Pintohttps://loan-approver.herokuapp.com/
Tomy Tjandrahttps://loan-approval-app.herokuapp.com/
Ali Ammarhttps://the-loan-prediction-app.herokuapp.com/
Ayoub Berdeddouchhttps://loan-app-prediciton.herokuapp.com/
Mihir Deshpandehttps://fathomless-reef-35952.herokuapp.com/
Diego Machadohttps://loan-prediction-dphi.herokuapp.com/
Anisa Agustina Ansoryhttps://anisagstnsry-loanprediction.herokuapp.com/
Kinjal Furiahttps://loan-status-predictor-flask.herokuapp.com/
Audhi Aprillianthttps://loan-prediction-form.herokuapp.com/
#The notebooks are listed in no specific order

2. Explainable A.I Notebooks:

Problem Statement : https://dphi.tech/practice/challenge/51#notebooks

NameNotebook Link
Pinky Chaudharyhttps://dphi.tech/notebooks/477
Ivana Hybenovahttps://dphi.tech/notebooks/344
Anirban Royhttps://dphi.tech/notebooks/395
Venkatesh Satagopanhttps://dphi.tech/notebooks/416
Ayoub Berdeddouchhttps://dphi.tech/notebooks/452
Diego Machadohttps://dphi.tech/notebooks/388
Tomy Tjandrahttps://dphi.tech/notebooks/359
Shilpa Prustyhttps://dphi.tech/notebooks/436
Jayananden Mhttps://dphi.tech/notebooks/254
Audhi Aprillianthttps://dphi.tech/notebooks/451
Uma Ramhttps://dphi.tech/notebooks/414
Omotosho Olamilekan Matthewhttps://dphi.tech/notebooks/380
Abirami Baskaranhttps://dphi.tech/notebooks/417
Aastha Jhahttps://dphi.tech/notebooks/360
Nagapavani Kakkirenihttps://dphi.tech/notebooks/404
#The notebooks are listed in no specific order

Machine Learning – Beginner Track

Problem Statement : https://dphi.tech/practice/challenge/52#notebooks

NameNotebook Link
Amaan Ali Khanhttps://dphi.tech/notebooks/546
Meena Manogaranhttps://dphi.tech/notebooks/568
Sanika Kulkarnihttps://dphi.tech/notebooks/521
Riadul Islamhttps://dphi.tech/notebooks/365
Sagar Lamahttps://dphi.tech/notebooks/321
Dmitriy Efremovhttps://dphi.tech/notebooks/660
Anjum Rohrahttps://dphi.tech/notebooks/584
Arun Kumar G kumarhttps://dphi.tech/notebooks/315
Camilo Perezhttps://dphi.tech/notebooks/638
Divya Jamihttps://dphi.tech/notebooks/639
Lejla Spahichttps://dphi.tech/notebooks/484
Anne Vogthttps://dphi.tech/notebooks/543
Sourav Banerjeehttps://dphi.tech/notebooks/621
Mekuria Tegegnehttps://dphi.tech/notebooks/505
Sai kumarhttps://dphi.tech/notebooks/557
Rackson Mathiashttps://dphi.tech/notebooks/648
Allentine Paulishttps://dphi.tech/notebooks/313
Annisa Nurihttps://dphi.tech/notebooks/676
#The notebooks are listed in no specific order

Keep Learning and Keep Practicing !

Cheers,

Team DPhi

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