deepakmoud,Deepak Moud,github

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Name: Deepak Moud

Type: User

Company: Department of Computer Engineering

Bio: Deepak Moud, Assistant Professor, Department of Computer Engineering, He has 18 years of teaching Experience

Deepak Moud 👋

Mr. Deepak Moud is Assistant Professor in Department of Computer Engineering, He has more than 18 years of teaching experience. He is BE, MTech in Computer Science & Engineering. His research interests are in the area of Image Processing, Machine Learning, Deep Learning and data Mining. He has published more than 20 research papers in reputed journal in this area. He has received Best paper award two times. He guided many Deep Learning, Machine learning, Python flask projects. He has conducted training on various technologies. He has been resource person for more than 5 ATAL FDP and TEQIP sponsored Workshops. He is Microsoft certified Azure AI Fundamental and Data Fundamental professional.

🔧 Websites

http://deepakmoud.pythonanywhere.com

http://pietcs.pythonanywhere.com

http://moud.pythonanywhere.com

🔧 Applications Developed

1.http://deepakmoud.pythonanywhere.com

5.http://moud.pythonanywhere.com

6.http://deepakmoudimageclassification.pythonanywhere.com

7.http://pietcs.pythonanywhere.com

8.http://preprocessing.pythonanywhere.com

9.http://knn.pythonanywhere.com

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14.http://clusteringapp1.pythonanywhere.com

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17.http://clusteringapp2.pythonanywhere.com

18.http://websrappingdemo.pythonanywhere.com

19.http://clusteringapp.pythonanywhere.com

20.https://deepakmoud-random-forest-streamlit-deployment-app-mp687r.streamlitapp.com

21.https://deepakmoud-kmeanddeployment-streamlit-app-jtl4do.streamlitapp.com

22.https://deepakmoud-digit-recognition-nn-model-straemlit-depl-app- o8ahll.streamlitapp.com

23.https://deepakmoud-decision-tree-streamlit-deployment-app-7rl0dv.streamlitapp.com

🔧 Certificates

https://www.credly.com/badges/2e125b77-384f-4bc0-9b4b-46a06e3d0524/public_url
https://www.credly.com/badges/1a7ad3fe-fbb4-41e1-92a3-6a11a9419e2e/public_url

🔧 Skills

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Deepak Moud's Projects

bert-embedding

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.