Download 150+ Machine Learning Projects Source Code Here you can find various (150+) machine learning projects with source code and download the same. Contact vtupulse@gmail.com for project source code and demonstration 1. Machine Learning Project – Adult Salary Prediction 2. Machine Learning Project – Bitcoin Price Prediction 3. Machine Learning Project – Boston Housing Analysis […]
Advantages and Disadvantages of Regression Model – Data Mining – Machine Learning In this tutorial, we will understand the Advantages and Disadvantages of the Regression Model. Advantages of Regression Model 1. Regression models are easy to understand as they are built upon basic statistical principles, such as correlation and least-square error. 2. the output of
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Linear Regression Solved Numerical Example with One Independent Variable In this tutorial, we will understand how to use a regression equation to predict the glucose level given the age. We will consider the following is the data set for understanding the concept of Linear Regression Numerical Example with One Independent Variable. SUBJECT AGE X GLUCOSE
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Decision Tree using CART algorithm Solved Example 3 In this tutorial, we will understand how to apply Classification And Regression Trees (CART) decision tree algorithm (Solved Example 3) to construct and find the optimal decision tree for the given Data set with City Size, Avg. Income, Local Investors, LOHAS Awareness attributes. Also, predict the class
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Decision Tree using CART algorithm Solved Example 2 – Loan Approval Data Set In this tutorial, we will understand how to apply Classification And Regression Trees (CART) decision tree algorithm (Solved Example 2) to construct and find the optimal decision tree for the given Loan Approval Data set. Also, predict the class label for the
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Decision Tree using CART algorithm Solved Example 1 In this tutorial, we will understand how to apply Classification And Regression Trees (CART) decision tree algorithm to construct and find the optimal decision tree for the given Play Tennis Data. Also, predict the class label for the given example…? Outlook Temp Humidity Windy Play Sunny Hot
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How to find the Entropy – Decision Tree Learning – Machine Learning In this tutorial we will understand, how to find the entropy given the four probabilities p1=0.1, p2=0.2, p3=0.3 and p4=0.4 in the decision tree. Solution: We know that the equation to find Entropy is, Entropy = -∑pi * log2(pi) We were give
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Artificial Intelligence and Machine Learning Tutorial with Simple Solved Examples Introduction Machine Learning In this section, you will learn, Basic Concepts of machine learning such as, Concept Learning, what is a consistent hypothesis, list-then-eliminate algorithm, Find-S algorithm, Candidate elimination algorithm. Concept Learning in Machine Learning Find-S Algorithm Machine Learning and Unanswered Questions of Find-S Algorithm
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Backpropagation Algorithm – Machine Learning – Artificial Neural Network In this tutorial i will discuss the Backpropagation Algorithm and its implementation in Python. Video Tutorial on Backpropagation Algorithm BACKPROPAGATION (training_example, ƞ, nin, nout, nhidden) Each training example is a pair of the form (𝑥, 𝑡), where (𝑥) is the vector of network input values, and
Python Program to Implement the Locally Weighted Regression Algorithm Exp. No. 10. Implement the non-parametric Locally Weighted Regression algorithm in Python in order to fit data points. Select the appropriate data set for your experiment and draw graphs. Locally Weighted Regression Algorithm Regression: Regression is a technique from statistics that are used to predict values
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