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.github/workflows
.github/workflows
 
 
1. Medical Charges Prediction Using Linear Regression
1. Medical Charges Prediction Using Linear Regression
 
 
2. Heart Disease Predictor using Logistic Regression
2. Heart Disease Predictor using Logistic Regression
 
 
3. Customer Churn Prediction Using Decesion Tree & Random Forest
3. Customer Churn Prediction Using Decesion Tree & Random Forest
 
 
4.Causial inference engine for market attribution(KNN,Naive bias,random forest)
4.Causial inference engine for market attribution(KNN,Naive bias,random forest)
 
 
5. N8N Automation for Ml models
5. N8N Automation for Ml models
 
 
6. AI-Powered Plant Disease Detector using CNN
6. AI-Powered Plant Disease Detector using CNN
 
 
models-deployments
models-deployments
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 

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Ml-Models

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Collection of AI, Machine Learning, and Deep Learning projects covering plant disease detection, causal inference, customer churn prediction, heart disease diagnosis, and medical cost forecasting using TensorFlow, Scikit-learn, Random Forest, ResNet50, and statistical learning techniques.

deploy-ten-orcin.vercel.app

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machine-learning deep-learning random-forest tensorflow linear-regression scikit-learn keras logistic-regression predictive-analytics causal-inference customer-churn healthcare-ai resnet50v2

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