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Hi there 👋 I am Nitish Singh

About Me

As a Data Science YouTuber with over 150K+ subscribers, I am passionate about teaching others how to master Machine Learning, Deep Learning, Natural Language Processing, Computer Vision and Data Analysis. With over 100 repositories on GitHub, I am committed to sharing my knowledge and experience in these areas. My repositories include a wide range of projects, from simple examples to complex applications, all designed to help learners of all levels. With over 4.2k followers on GitHub, I am constantly engaged with the community, sharing insights and responding to questions. If you are interested in Data Science and looking to improve your skills, be sure to check out my repositories and YouTube channel.

My Github Stats

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Github Stats

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  • 🔭 I’m currently working on Data Science Mentorship Program
  • 🌱 I’m currently learning SQL
  • 👯 I’m looking to collaborate on Deep Learning
  • 💬 Ask me about Machine Learning, Deep Learning and NLP
  • 📫 How to reach me: [email protected]
  • 😄 Happy Learning

CampusX's Projects

amazing-feature-engineering icon amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awful-ai icon awful-ai

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

aws-demo-app icon aws-demo-app

An application deployed on AWS RDS and Elastic Beanstalk

best-of-ml-python icon best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

crackingmachinelearninginterview icon crackingmachinelearninginterview

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

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