• 🔭 I’m currently working on ...Product Lifecycle management CAD/CAM fast deployment and testing techniques
• 🌱 I’m currently learning ...Python, Ansible, Microservices, R programming, TensorFlow2, Keras, Hadoop, React, Vue and Angular Full stack server and client.
• 👯 I’m looking to collaborate on ...Teamcenter Fast deployments, Machine Learning, Neural Networks, Natural Language Processing, React with GraphQL, and Rest endpoint development
• 🤔 I’m looking for help with ... Angular, React, Microservices, Ansible, TFOD, may be some routing frameworks like Next.js
• 💬 Ask me about ...You find at my linkedin profileusing my LinkedIN below
• 📫 How to reach me: ...You can send a simple email tokrishnaprasad.bharathula@web.de, and I will get back to you soon!
• 😄 Pronouns: ...
• ⚡ Fun fact: ... I love my Family and Friends.

#### You can find me on: [LinkedIn](https://www.linkedin.com/in/bprasadvk) - [Email](mailto:krishnaprasad.bharathula@web.de)

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1. HiddenMarkovModelHiddenMarkovModelPublic

   Forked fromadeveloperdiary/HiddenMarkovModel

   Code for the Hidden Markov Model Tutorial Series

   Python

2. HiddenMarkovModelDemoHiddenMarkovModelDemoPublic

   Jupyter Notebook

3. hmmhmmPublic

   Forked fromluisguiserrano/hmm

   An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk

   Jupyter Notebook

4. Natural Language Processing NotesNatural Language Processing Notes

   1

   #A Collection of NLP notes

   2

   3

   ##N-grams

   4

   5

   ###Calculating unigram probabilities:

5. AWC_CustomizationAWC_CustomizationPublic

   3

6. awesome-nlpawesome-nlpPublic

   Forked fromkeon/awesome-nlp

   📖 A curated list of resources dedicated to Natural Language Processing (NLP)