Skip to content
View mandar196's full-sized avatar
💭
Busy Wandering.!
💭
Busy Wandering.!
3 followers · 0 following

Block or report mandar196

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
mandar196/README.md

Hi there, I'm Mandar kulkarni!

Check out my portfolio: click here

Mandar's kaggle profile       Mandar's LinkedIn profile       Smit's Github

Profile Views

I'm a Data science enthusiast and very passionate to work in this domain.

GIF

Talking about Personal Stuffs:

  • 👨🏽‍💻 I have worked as AI/ML Intern at Tata Motors
  • 🖋️ I completed my Master's in Computer Applications from VIT, Pune
  • 🖋️ I'm actively participating in Data science competitions on kaggle,Analytics Vidhya
  • 📌 Scroll down to see my Pinned Repositories
  • 📫 Please email via kulkarnimandar96@gmail.com to reach me;

Worked with

GitHub Stats

Top Languages

Top repositories

Connect me on:

LinkedIn: https://www.linkedin.com/in/mandar-kulkarni196

Kaggle: https://www.kaggle.com/mandarkulkarnipune

Medium: https://rb.gy/mm6ps8

Note: Please do not spam on the above mentioned profiles.

Pinned Loading

  1. Movie_Recommendation_System Public

    This is an End to End Machine Learning Application of recommendation system deployed it in Heroku platform.

    Jupyter Notebook 1 1

  2. MedTest Public

    MedTest is an End to End Machine Learning Application, which can be used for predicting various diseases such as Diabetes,Heart,Breast Cancer,Malaria,Pneumonia and also provides details about it Sy…

    HTML 2 1

  3. Fake_News_Classifier_NLP Public

    An End to End Machine Learning application for detecting fake news, built model using Passive aggressive classfier and integrated with Flask for web application and deployed in Heroku platform.

    Jupyter Notebook 8 4

  4. Hate_Speech_Detection-NLP Public

    Created Hate speech detection model using Count Vectorizer & XGBoost Classifier with an Accuracy upto 0.9471, which can be used to predict tweets which are hate or non-hate.

    Jupyter Notebook 6 2

  5. Employee_Attrition-HR-Analytics Public

    Predicting why employees are leaving organization & building a model to predict in future, who will leave the company.

    Jupyter Notebook 1

  6. Plate-detection-counting Public

    To detect & count number of plates picked up from table.