Skip to content
View ShivaNeuralNet's full-sized avatar

Block or report ShivaNeuralNet

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

Pinned Loading

  1. Google-Stock-Price-Prediction-Using-LSTM Google-Stock-Price-Prediction-Using-LSTM Public

    Deep learning project for forecasting Google stock prices using LSTM. Includes EDA, SMA insights, LSTM tuning, and model performance comparison.

    Jupyter Notebook 1

  2. -Airline-Passenger-Satisfaction-Unsupervised-Learning-Project -Airline-Passenger-Satisfaction-Unsupervised-Learning-Project Public

    Unsupervised learning project to cluster airline passengers based on satisfaction using KMeans and PCA. Includes feature engineering, visualization, and cluster evaluation.

    Jupyter Notebook

  3. canadian-cheese-sales-ml canadian-cheese-sales-ml Public

    Machine learning classification project to predict fat levels in Canadian cheese using Logistic Regression, Random Forest, SVM, and KNN.

    Jupyter Notebook

  4. Customer-Churn-Classifier Customer-Churn-Classifier Public

    Predicting customer retention in an e-commerce platform using classification models. Includes data preprocessing, feature engineering, and model evaluation (Logistic Regression, SVM, Random Forest,…

    Jupyter Notebook