Csengupta1101 / ML-Concepts Public

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This Repository will contain all useful concepts related to machine learning

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Name		Name	Last commit message	Last commit date
Latest commit History 70 Commits
.gitignore		.gitignore
BostonHousing.csv		BostonHousing.csv
Class_16.04.2023_Naive_Bayes_Classifier.ipynb		Class_16.04.2023_Naive_Bayes_Classifier.ipynb
Class_16.04.2023_Naive_Bayes_Classifier.pdf		Class_16.04.2023_Naive_Bayes_Classifier.pdf
Classification Model Evaluation Techniques.ipynb		Classification Model Evaluation Techniques.ipynb
DensityBasedScan_DBScan.ipynb		DensityBasedScan_DBScan.ipynb
Euclidean Distance.ipynb		Euclidean Distance.ipynb
Hold Out & Cross Val.ipynb		Hold Out & Cross Val.ipynb
If Else Cover.png		If Else Cover.png
K-Means Clustering.ipynb		K-Means Clustering.ipynb
K_Fold_Method.ipynb		K_Fold_Method.ipynb
K_Fold_Method.pdf		K_Fold_Method.pdf
LICENSE		LICENSE
ML - DB_Scan.pdf		ML - DB_Scan.pdf
ML_DBscan.pdf		ML_DBscan.pdf
MSE Cover.png		MSE Cover.png
Mall_Customers.csv		Mall_Customers.csv
Mean Squared Error Formual.png		Mean Squared Error Formual.png
Model Evaluation Detaails.pdf		Model Evaluation Detaails.pdf
Over_Under_Fitting.ipynb		Over_Under_Fitting.ipynb
Over_Under_Fitting.pdf		Over_Under_Fitting.pdf
PCA.ipynb		PCA.ipynb
PCA.pdf		PCA.pdf
PJME_hourly.csv		PJME_hourly.csv
README.md		README.md
Regression_Model_Evaluation_techniques.ipynb		Regression_Model_Evaluation_techniques.ipynb
Regression_Model_Evaluation_techniques.pdf		Regression_Model_Evaluation_techniques.pdf
Regularaization.ipynb		Regularaization.ipynb
Skewness.ipynb		Skewness.ipynb
commit.txt		commit.txt
skewness1.webp		skewness1.webp
supervised learning.ipynb		supervised learning.ipynb
time series forecasting.ipynb		time series forecasting.ipynb