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BharathulaPrasad/README.md

Hi there 👋 I am Krishna Bharathula (KP)

  • 🔭 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 profile using my LinkedIN below
  • 📫 How to reach me: ...You can send a simple email to [email protected], and I will get back to you soon!
  • 😄 Pronouns: ...
  • ⚡ Fun fact: ... I love my Family and Friends.

Languages and Tools:

bash c cplusplus css3 git hadoop hive html5 linux mariadb matlab mongodb mysql opencv oracle php python scikit_learn sqlite tensorflow xd

Connect with me:

#### You can find me on: [LinkedIn](https://www.linkedin.com/in/bprasadvk) - [Email](mailto:[email protected])

📈 GitHub Stats

Krishna's GitHub Stats

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  1. HiddenMarkovModel HiddenMarkovModel Public

    Forked from adeveloperdiary/HiddenMarkovModel

    Code for the Hidden Markov Model Tutorial Series

    Python

  2. HiddenMarkovModelDemo HiddenMarkovModelDemo Public

    Jupyter Notebook

  3. hmm hmm Public

    Forked from luisguiserrano/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 Notes Natural Language Processing Notes
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    #A Collection of NLP notes
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    ##N-grams
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    ###Calculating unigram probabilities:
  5. AWC_Customization AWC_Customization Public

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  6. awesome-nlp awesome-nlp Public

    Forked from keon/awesome-nlp

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