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1. ANN_Churn_Modelling-Machine-Learning- ANN_Churn_Modelling-Machine-Learning- Public

   Artificial Neural Networks (ANNs) are computational models inspired by the human brain. They consist of layers of interconnected nodes (neurons) that can learn patterns from data through a process …

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2. Diabetes-Prediction--KNN Diabetes-Prediction--KNN Public

   This project uses the K-Nearest Neighbors (KNN) algorithm .KNN: A simple algorithm that classifies data based on the labels of its nearest neighbors.

   Jupyter Notebook 1

3. KMeans_Clustering_Mall_Customers KMeans_Clustering_Mall_Customers Public

   This project applies K-Means Clustering to segment customers based on Annual Income and Spending Score. It uses unsupervised machine learning to identify distinct customer groups and visualize purc…

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4. Linear-Regression-ML-Algorithm Linear-Regression-ML-Algorithm Public

   Linear Regression: A model that predicts a continuous output using a linear relationship between input and target.

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5. Logistic-Regression-ML-Algorithm Logistic-Regression-ML-Algorithm Public

   Logistic Regression: A binary classifier that predicts probabilities using the sigmoid function.

   Jupyter Notebook 1

6. Naive-Bayes-Classifier_diabetes_prediction Naive-Bayes-Classifier_diabetes_prediction Public

   The Naive Bayes classifier is a popular supervised learning algorithm in machine learning that is based on Bayes' Theorem, with the naive assumption that features are independent of each other give…

   Jupyter Notebook 1