Skip to content
View itsabhishekhere's full-sized avatar
🎯
Focusing ML | NN
🎯
Focusing ML | NN
8 followers · 3 following
  • Gamezop
  • India

Achievements

Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

Achievements

Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

Block or report itsabhishekhere

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
itsabhishekhere/README.md

Hi 👋, It's Abhishek Here

|🎓 Student | Python Devloper | Machine Learning


  • 🔭 I’m currently working on AI

  • 🌱 I’m currently learning FastAPI

  • 👨‍💻 Some of my projects are available at my Github

  • 📝 I regularly write articles in my Brain

  • 💬 Ask me about Data Science, Machine Learning

  • 📫 How to reach me [email protected]

  • ⚡ Fun fact every click you make is a datapoint

itsabhishekhere

itsabhishekhere

harshcasper harshcasper harshcasper

Pinned

  1. Wine-Quality-Deployed Wine-Quality-Deployed Public

    Wine Quality Testing Web App deployed on Heroku

    Jupyter Notebook 2 2

  2. Face-Emotion-Recognition-Live Face-Emotion-Recognition-Live Public

    Jupyter Notebook 2

  3. Case-Study-Data-Science Case-Study-Data-Science Public

    A deep dive analysis of datasets from Kaggle.

    Jupyter Notebook

  4. Sonalikhasyap15/Diabetes_Prediction Sonalikhasyap15/Diabetes_Prediction Public

    It is a classifier model that predicts the diabetes.

    Jupyter Notebook 4 3

  5. Used_Car_Prediction Used_Car_Prediction Public

    A Prediction Model of Used Car Price

    Python 6 2

  6. tanujdhiman/Bank_Customer_Deployed_Model tanujdhiman/Bank_Customer_Deployed_Model Public

    In this we are gonna to discuss about the deployment of a model. I have made a model that will predict whether a Bank customer can be leave bank or not.

    Jupyter Notebook 2 2