🧠 AI Projects Repository by JoinDeeHub

Welcome to the AI Projects Repository — a growing collection of practical machine learning, deep learning, and data science projects. Each project is crafted with real-world datasets and includes full preprocessing, model building, evaluation, and insights.

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📁 Repository Structure

Folder / File	Description
1_LinearRegression.ipynb	Predictive regression modeling using linear regression
2_KMeans_Clustering.ipynb	Customer segmentation using K-Means clustering
3_NaiveBayes_Classification.ipynb	Classification using various Naive Bayes models
4_Ward_Hierarchical_Clustering.ipynb	Agglomerative clustering with Ward linkage
5_RandomForest_ModelCreationPhase1_Chronic_Kidney_Disease_prediction.ipynb	Final Random Forest model for CKD diagnosis
6_GridSearchCV_Logistic_Regression.ipynb	CKD classification with optimized Logistic Regression
7_HDBSCAN_Clustering.ipynb	Customer clustering using HDBSCAN
CKD_Model_Deployment_Deepika.ipynb	Phase 2 deployment for CKD model using Pickle
Mall_Customers.csv	Dataset for customer segmentation projects
CKD.csv	Dataset for Chronic Kidney Disease prediction

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🚀 Featured Projects

🔬 Chronic Kidney Disease Prediction

• Dataset: CKD.csv
• Models: Logistic Regression, Random Forest, Naive Bayes
• Final Model: RandomForestClassifier
• Phase 2: Deployment-ready model with .pkl export and sample prediction

🛍️ Customer Segmentation

• Dataset: Mall_Customers.csv
• Models: KMeans, HDBSCAN, Ward Hierarchical Clustering
• Purpose: Segment customers based on income and spending habits

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🧪 Technologies Used

• Python 3
• Jupyter Notebook
• Scikit-learn
• Pandas, NumPy
• Matplotlib, Seaborn
• HDBSCAN, Scipy
• Pickle (for model deployment)

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📌 How to Use

1. Clone the repository

   git clone https://github.com/JoinDeeHub/AI.git
   cd AI
   

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Open in JupyterLab / Jupyter Notebook

jupyter notebook


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## Explore, Run, Modify, and Learn!

✨ Contributions
This repository is maintained by Deepika, a passionate DevOps and AI enthusiast.
Feel free to fork or raise issues if you'd like to collaborate or give feedback.
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📬 Contact
For collaborations or inquiries:
📧 [deepika2.ytb@gmail.com] 

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