Machine_learning_modelling

Steps to be followed while Training Machine Learning Model

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Decision Tree Regressor Implementation.ipynb		Decision Tree Regressor Implementation.ipynb
Decision Tree using pre purning and hyper parameter tuning.ipynb		Decision Tree using pre purning and hyper parameter tuning.ipynb
Decision tree Classifier implementation.ipynb		Decision tree Classifier implementation.ipynb
Gaussian Naive Bayes Implementation.ipynb		Gaussian Naive Bayes Implementation.ipynb
KNN Classifier.ipynb		KNN Classifier.ipynb
KNN Regressor Implementation.ipynb		KNN Regressor Implementation.ipynb
Logistic Regression, Randomised Cv, Grid search Cv.ipynb		Logistic Regression, Randomised Cv, Grid search Cv.ipynb
Multiple Linear Regression.ipynb		Multiple Linear Regression.ipynb
PCA implementation .ipynb		PCA implementation .ipynb
README.md		README.md
Random Forest with Pipeline and Hyperparameter tuning.ipynb		Random Forest with Pipeline and Hyperparameter tuning.ipynb
SVC kernel Implementation.ipynb		SVC kernel Implementation.ipynb
Simple Linear Regression.ipynb		Simple Linear Regression.ipynb
Support Vector Classifier Implementation.ipynb		Support Vector Classifier Implementation.ipynb
Support Vector Regressor Implementation.ipynb		Support Vector Regressor Implementation.ipynb
Time Series Model EDA (3).ipynb		Time Series Model EDA (3).ipynb
height-weight.csv		height-weight.csv
regressor.pkl		regressor.pkl
scaler.pkl		scaler.pkl