Skip to content
View ChandrikaTulsani's full-sized avatar

Block or report ChandrikaTulsani

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. 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. Cyber-Threat-Detection-Model-Using-Machine-Learning Cyber-Threat-Detection-Model-Using-Machine-Learning Public

    Cyber Threat Detection using Machine Learning — A binary classification project that identifies network intrusions using the NSL-KDD dataset. It applies preprocessing (label encoding, standard scal…

    Jupyter Notebook

  2. Google-Merchandise-Customer-Segmentation Google-Merchandise-Customer-Segmentation Public

    Segments e-commerce users into behavioral groups using K-Means clustering on session, interaction, and activity data. Includes feature engineering, Elbow Method for optimal clusters, and business i…

    Jupyter Notebook

  3. Credit-Card-Default-Prediction-Model Credit-Card-Default-Prediction-Model Public

    Predicts credit card payment defaults using Decision Tree and Logistic Regression on 30,000 UCI client records. Includes full EDA, preprocessing, 5-fold cross-validation, and feature importance ana…

    Jupyter Notebook

  4. Fashion-MNIST-CNN-Classification Fashion-MNIST-CNN-Classification Public

    Classifies Fashion-MNIST clothing images into 10 categories using a CNN built with TensorFlow/Keras. Architecture includes two Conv2D layers, MaxPooling, Dense layers, and Dropout regularization. T…

    Jupyter Notebook