GitHub - allawadhiastha/Classification-ML-models: Classification problems are the ones where our target column is categorical in simple words we have to predict discrete value - whether the bank will give loan (yes/no) , will the given person is terrorist or not, the person will take credit car or not etc etc. Classification is also a supervised learning technique , there are many machine learning models for the same , some of them discussed here are : Decision trees(works as both regressor and classifier) , KNN( , Naive bayes , logistic regression

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Classification Day - 3.ipynb		Classification Day - 3.ipynb
Classification Day4 - Naive Bayes .ipynb		Classification Day4 - Naive Bayes .ipynb
Classification day 2 - Decision Trees.ipynb		Classification day 2 - Decision Trees.ipynb
Classification-Day 1.ipynb		Classification-Day 1.ipynb
Logistic Regression with Python.ipynb		Logistic Regression with Python.ipynb
Network_Intrusion.csv		Network_Intrusion.csv
Wine_Quality.csv		Wine_Quality.csv
diabetes.csv		diabetes.csv

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Classification problems are the ones where our target column is categorical in simple words we have to predict discrete value - whether the bank will give loan (yes/no) , will the given person is terrorist or not, the person will take credit car or not etc etc. Classification is also a supervised learning technique , there are many machine learn…

logistic-regression decision-trees naive-bayes-classification knn-classification classification-model