Skip to content
View PradeepThapa's full-sized avatar
πŸ‘‹
πŸ‘‹

Block or report PradeepThapa

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
PradeepThapa/README.md

πŸ‘‹ Hi, I'm Pradeep

Machine Learning Engineer

Welcome to my GitHub profile! I'm deeply passionate about the dynamic and ever-evolving world of Data Science and Machine Learning. Here, you'll discover a collection of my work, projects, and contributions that reflect my dedication to these exciting fields.

I'm deeply passionate about the dynamic and ever-evolving world of Data Science and Machine Learning. Here, you'll discover a collection of my work, projects, and contributions that reflect my dedication to these exciting fields. πŸ“ŠπŸ€–

Feel free to explore my repositories and get in touch if you have any questions or would like to connect.🌟

Skills

  • Programming Languages: Python, SQL, R
  • Web Development: Django, Flask
  • Data Science and Machine Learning: TensorFlow, Scikit-Learn, PyTorch, OpenCV
  • Visualisation: Matplotlib, Seaborn, Plotly

Stats

Top Langs

Contact


Feel free to explore my repositories and connect with me. I look forward to collaborating and sharing knowledge with the GitHub community!

Pinned Loading

  1. nsl_kdd_classification nsl_kdd_classification Public

    Cyber-attack classification in the network traffic database using NSL-KDD dataset

    Python 23 2

  2. deakin-simpsons-challenge2021 deakin-simpsons-challenge2021 Public

    Forked from rbouadjenek/deakin-ai-challenge2021

    The Deakin Simpsons challenge 2021 is a computer vision competition for which the goal is to recognize Simpsons characters individually in images using machine learning/deep learning. The challenge…

    Jupyter Notebook

  3. image-recognition-system image-recognition-system Public

    The inspiration of this system is to identify the species of flower. The dataset contains labeled flowers type. This system can be used to recognize flower type from the photos.

    Jupyter Notebook

  4. ml-classification-bank-marketing ml-classification-bank-marketing Public

    Decision Tree Classification and Random Forest Classification supervised machine learning algorithms are used to predict if customer will subscribe to a term deposit.

    Jupyter Notebook