ML-Algorithms-Scikit-Learn-Implementation

This Repo stores Machine Learning Algorithms Implementation using Scikit Learn.

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
.ipynb_checkpoints		.ipynb_checkpoints
50_startups.csv		50_startups.csv
Adaboost Algorithm.ipynb		Adaboost Algorithm.ipynb
Gradient Boosting Implementation.ipynb		Gradient Boosting Implementation.ipynb
K Means Clustering Implementation.ipynb		K Means Clustering Implementation.ipynb
K Means Clustering.ipynb		K Means Clustering.ipynb
K Nearest Neighbours.ipynb		K Nearest Neighbours.ipynb
K Prototype Algorithm Implementation.ipynb		K Prototype Algorithm Implementation.ipynb
K-Mode Clustering Implementation.ipynb		K-Mode Clustering Implementation.ipynb
Mall_Customers.csv		Mall_Customers.csv
Multi Class Logistic Regression.ipynb		Multi Class Logistic Regression.ipynb
Multiple Linear Regression.ipynb		Multiple Linear Regression.ipynb
Naive Bayes Classfication Implementation.ipynb		Naive Bayes Classfication Implementation.ipynb
README.md		README.md
ROC AUC Curve.ipynb		ROC AUC Curve.ipynb
Random Forest.ipynb		Random Forest.ipynb
Support Vector Machines.ipynb		Support Vector Machines.ipynb
Titanic.csv		Titanic.csv
XGBoost Implementation.ipynb		XGBoost Implementation.ipynb
bank.csv		bank.csv
diabetes.csv		diabetes.csv
marketing.csv		marketing.csv

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