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1. Cotton-disease-prediction- Cotton-disease-prediction- Public

   This repository explores the prediction of cotton diseases using deep learning models with transfer learning. Two popular convolutional neural network architectures, InceptionV3 and ResNet50, are e…

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2. Diabetes-Prediction Diabetes-Prediction Public

   This repository contains a machine learning model for predicting the onset of diabetes in patients based on various health indicators. The model utilizes Logistic Regression, a widely used classifi…

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3. Breast-Cancer-Wisconsin-Diagnostic---Decision-Tree Breast-Cancer-Wisconsin-Diagnostic---Decision-Tree Public

   This code provides a basic example of how to implement a Decision Tree classifier for breast cancer prediction using the scikit-learn library. Provides a solid foundation for understanding and appl…

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4. boston-house-pricing boston-house-pricing Public

   This repository explores the prediction of house prices in Boston using the well-known Boston Housing Dataset. The project utilizes XGBoost, a powerful and efficient gradient boosting library, for …

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5. Linear-Discriminant-Analysis-Unsupervised-learning- Linear-Discriminant-Analysis-Unsupervised-learning- Public

   Linear Discriminant Analysis (LDA) for multi-class classification on a given dataset. LDA is a supervised dimensionality reduction technique that seeks to find linear combinations of features that …

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6. Principal-component-analysis-Unsupervised-learning- Principal-component-analysis-Unsupervised-learning- Public

   Principal Component Analysis (PCA) for dimensionality reduction on a given dataset. PCA is a powerful technique for identifying the most important features in high-dimensional data.  

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