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Machine Learning
Implementation of Naïve Bayes classification algorithm using Iris dataset:
Naïve Bayes classification algorithm: Naïve Bayes classification algorithm works on conditional probability based on Bayes theorem. Mostly it is used…
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Machine Learning
Lasso and Ridge Regression (L1 and L2 Regularization):
Lasso and Ridge Regression (L1 and L2 Regularization): When the regression is under fitting then the accuracy of the test data may be low. When the…
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Machine Learning
Logistic Regression and its implementation in python:
What is the difference between Regression and classification? Classification and regression are the two types of supervised algorithms. Classifica…
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Machine Learning
Implementation of Support vector regression algorithm in Python (SVR):
Implementation of Support vector regression algorithm in Python (SVR): Support Vector Regression (SVR) is similar to Support Vector machine (SVM). …
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Machine Learning
Decision tree algorithm implementation using diabetic dataset in python
Decision tree algorithm implementation using diabetic dataset in python: Decision tree algorithm is a supervised learning algorithm, and it is used…
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