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1. Multi-class-classificational-Disease-Prediction-Models- Multi-class-classificational-Disease-Prediction-Models- Public

   A Streamlit-based web application that predicts Diabetes, Heart Disease, and Parkinson’s Disease using trained machine learning models. Built for multi-disease diagnosis with error handling, smooth…

   Jupyter Notebook 2

2. Auto-Eda-Pakage Auto-Eda-Pakage Public

   Auto-EDA Package is a Python-based tool designed to automate Exploratory Data Analysis (EDA), helping users quickly understand their datasets with minimal effort. It provides key insights such as d…

   Python 1

3. Movie-Recommender-System Movie-Recommender-System Public

   A content-based movie recommendation system built with Python, Streamlit, and scikit-learn. Uses TMDB dataset to suggest similar movies based on genres, cast, crew, and plot. Features an interactiv…

   Jupyter Notebook 1

4. Diabetes-detection-model--svm- Diabetes-detection-model--svm- Public

   Diabetes detection model is a machine learning model which detects that weather a patient is diabetic or not with help of the give data and it is made (SVM) algorithm.

   Python 7

5. Heart_diseases_prediction-LogisticRegression Heart_diseases_prediction-LogisticRegression Public

   This GitHub repository hosts a comprehensive implementation of a Heart Disease Prediction Model using the powerful Logistic Regression algorithm. With the goal of enabling accurate diagnoses, this …

   Jupyter Notebook 5

6. Parkinson-s_Prediction_Model Parkinson-s_Prediction_Model Public

   This model is trained using SVM algorithm and achieve accuracy of 90% approximatly . This model helps to know wheather a person in deseased with parkinson's or not just by gathering some features

   Jupyter Notebook 4