Skip to content
View shrishtibhasin's full-sized avatar

Block or report shrishtibhasin

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

Popular repositories Loading

  1. pneumonia_detection_using_deep_learning pneumonia_detection_using_deep_learning Public

    I developed this project using a pre-trained VGG16 model to classify chest X-ray images as either normal or affected by pneumonia.

    Python 1

  2. Data-Pipeline-for-E-commerce-Platform-python Data-Pipeline-for-E-commerce-Platform-python Public

    The project aims to design and implement an advanced data pipeline for an e-commerce platform, addressing complexities such as schema evolution, incremental updates, and data transformation to supp…

    Python 1

  3. austism_detection_in_adults_using_machine_learning austism_detection_in_adults_using_machine_learning Public

    I developed this project using several supervised machine learning classification techniques such as Logistic Regression, Decision Trees, Support Vector Machines (SVM, together with Ensemble Learni…

    Jupyter Notebook

  4. Fake_news_detection_using_machine_learning Fake_news_detection_using_machine_learning Public

    This Project is to solve the problem with fake news.

    Jupyter Notebook

  5. Home_loan_eligibility_detection_using_machine_learning Home_loan_eligibility_detection_using_machine_learning Public

    I developed this loan eligibility prediction project using various machinje learning algorithms like Logistic regression, SVM and Decision tree

    Jupyter Notebook

  6. Autism-disorder-detection-in-children Autism-disorder-detection-in-children Public

    Detecting autism in children using SVM, Logistic Regression, Random Forest, and Decision Tree models. Dataset includes behavioral and demographic features. Aim to predict ASD early for better inter…

    Jupyter Notebook