Machine Learning

  Neural Network MCQs 👉 Introduction to Neural Network MCQs 👉 NN : Forward and Back Propagation MCQs & Program

  NN : Introduction to Neural Network Q1. Weights impact For the neural network shown above, which of these statements is true? Choose the correct answer from below: A.     -5 weight is bad for the neural network. B.     The neuron with weight 10 will have the most impact on the output. C.     The neuron with weight -5 will have the most impact on the output. D.     The neuron with weight 2 will have the most impact on the output. Ans: B Correct option :  The neuron with weight 10 will have the most impact on the output. Explanation : There is no such thing that a neuron with a negative weight will be bad for the output. The negative or positive weight of a neuron simply means whether it has an increasing or decreasing effect on the output value. A neuron with the largest magnitude will have the most significant effect on the output value.   Q2. Calculate Forward Pass The ne...

 Machine Learning Programs 👉 Data Preprocessing in Machine Learning 👉 Data Preprocessing in Machine learning (Handling Missing values ) 👉 Linear Regression - ML Program - Weight Prediction 👉 Naïve Bayes Classifier - ML Program 👉 LOGISTIC REGRESSION - PROGRAM 👉 KNN Machine Learning Program 👉 Support Vector Machine (SVM) - ML Program 👉 Decision Tree Classifier on Iris Dataset 👉 Classification of Iris flowers using Random Forest 👉 DBSCAN 👉 Implement and demonstrate the FIND-S algorithm for finding the most specific hypothesis based on a given set of training data samples. Read the training data from a .CSV file 👉 For a given set of training data examples stored in a .CSV file, implement and demonstrate the Candidate-Elimination algorithm to output a description of the set of all hypotheses consistent with the training examples. 👉 Write a program to demonstrate the working of the decision tree based ID3 algorithm. Use an appropriate data set for building the decision tree...

  Machine Learning MCQs 👉1.  Machine Learning MCQs - UNIT 1 👉2.  Machine Learning MCQs-2 (Performance Metrics, Linear Regression, Naïve Bayes Classifier ) 👉3.  Machine Learning MCQs-3 (Logistic Regression, KNN, SVM, Decision Tree) 👉4.  Machine Learning MCQs - 4 (Clustering, Dimensionality Reduction) 👉5. Machine Learning MCQs - 5 (Ensemble Models)

                                                                                Git & GitHub Setup for MLOps Q1. Conflict in GIT When does a conflict arise in git? Choose the correct answer from below: A.     Always when 2 developers raise pull requests simultaneously. B.     Always when 2 developers change the project simultaneously. C.     When the same line of code of a particular file is changed, in 2 different merging branches A and B. D.     When the same file is deleted in 2 branches A and B, and we are trying to merge them. Ans: D Correct Option : When the same line of code of a particular file is changed, in 2 different merging branches A and B. Explanation : ...