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"Your time is limited, so don’t waste it living someone else’s life. Don’t be trapped by dogma – which is living with the results of other people’s thinking. Don’t let the noise of other’s opinions drown out your own inner voice. And most important, have the courage to follow your heart and intuition. They somehow already know what you truly want to become. Everything else is secondary."

-Steve Jobs

👽 About Me:

As a M.Tech - Data Science student at PDEU, with a motive to learn, experience and to do implement research for further upskilling my abilities in the domain. I always looking for ways to deepen my understanding of AI and apply it in real-world contexts. With personal initiatives and faculty helps started working on some real good projects an research.

👨‍💻 I code with:

Python R C++ Java LaTeX Anaconda TensorFlow Keras PyTorch NumPy Pandas Plotly scikit-learn SciPy MicrosoftSQLServer MySQL Postgres SQLite MongoDB Heroku Azure

🌐 Connect Me:

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📊 GitHub Stats:

Kinshuk Gaurav's Projects

accumulate icon accumulate

✻ Accumulate shifts the paradigm for how blockchains manage data, tokens, and users

ailab icon ailab

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

all_u_need_notebooks icon all_u_need_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

alltomp3-app icon alltomp3-app

Download and Convert YouTube, SoundCloud & Spotify in MP3 with full tags (title, artist, genre, cover, lyrics 🔥)

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

cancan icon cancan

A scalable video-sharing service.

colabcode icon colabcode

Run VSCode (codeserver) on Google Colab or Kaggle Notebooks

data-science icon data-science

Collection of useful data science topics along with code and articles

datasets icon datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

deep-learning-in-production icon deep-learning-in-production

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

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