Anuuz SoniLogistic Regression — !!Logistic Regression also known as Logit Regression and here we solve the problem where dependent variable (y) is ‘Categorical’ in nature…Jul 13, 2020Jul 13, 2020
Anuuz SoniWhat Does REGULARIZATION actually do??!!Regularization controls the associated coefficients with the features in various modeling.Jul 11, 2020Jul 11, 2020
Anuuz SoniTheory Behind 1 Predictor Linear Regression(One Independent And One Dependent Variable)As show in the figure we are considering x as the independent variable and y as dependent variable(variable to be predicted using x)Jul 10, 2020Jul 10, 2020
Anuuz SoniR²-Cofficient Of Relationship — For Linear Regression.‘’R² tells us ratio of error in the prediction that can be explained due to variance in features.’’Jul 9, 2020Jul 9, 2020
Anuuz SoniC4.5 Decision Tree Classifier — — !!In ID3 algorithm of decision tree, we cannot take into account the numerical attribute and even the primary key attribute are also dropped…Jul 7, 2020Jul 7, 2020
Anuuz SoniID3(Iterative Dichotomizer) Decision Tree Algorithm -In SKLEARN:-ID3 algorithm is based on entropy and information gain calculation. Entropy is calculated asJul 6, 20201Jul 6, 20201
Anuuz SoniKNN in ‘sklearn’ module in PYTHON — -!!I started learning practical application of machine learning from scratch, i.e , I used to code from the very scratch. After sometime I…Jul 4, 2020Jul 4, 2020
Anuuz SoniPros and Cons Of Naive Bayes Classifier :-Naive bayes classifier is a easy to implement classifier but as a coin has two side it has its pros and cons:-Jul 4, 2020Jul 4, 2020
Anuuz SoniKNN Accuracy is Directly dependent on ‘No. NEIGHBORS’ —-!!(K NEIGHBORS CLASSIFIER)Here I will tell you that how KNN accuracy or error is dependent on no. of neighbor .Jul 2, 2020Jul 2, 2020