Machine Learning

Perspectives and Issues in Machine Learning

Download Final Year Projects   Join for Regular Updates Perspectives and Issues in Machine Learning Following are the list of issues in machine learning: 1. What algorithms exist for learning general target functions from specific training examples? In what settings will particular algorithms converge to the desired function, given sufficient training data? Which algorithms perform […]

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List then Eliminate Algorithm Machine Learning

Download Final Year Projects   Consistent Hypothesis, Version Space and List then Eliminate Algorithm Consistent Hypothesis The idea: output a description of the set of all hypotheses consistent with the training examples (correctly classify training examples). Video Tutorial of Consistent Hypothesis, Version Space, and List then Eliminate Algorithm Version Space Version Space is a representation

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18CS71 Artificial Intelligence and Machine Learning Solutions

Download Final Year Projects   18CS71 Artificial Intelligence and Machine Learning (AIML) Module wise Question Bank with Solutions Here you can find the module-wise questions and solutions for 18CS71 Artificial Intelligence and Machine Learning. Solution to 18CS71 Artificial Intelligence and Machine Learning Model Question Paper Module 1 – Introduction to Artificial Intelligence 1. What is

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Quadratic Polynomial Regression Model Solved Example

Download Final Year Projects   Quadratic Polynomial Regression Model Solved Example in Machine Learning Regression modeling is a process of determining a relationship between one or more independent variables and one dependent or output variable. Example: 1. Predicting the price of the car given the car model, year of manufacturing, mileage, engine capacity. 2. Predicting

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18CSL76 Artificial Intelligence Machine Learning Laboratory

Download Final Year Projects   18CSL76 Artificial Intelligence and Machine Learning Laboratory – VTU AIML Lab and Theory 18CS71 Artificial Intelligence and Machine Learning Laboratory – 18CSL76 (VTU AIML Lab) covers the different algorithms such as A* Search, A** Search, Find-S algorithms, Candidate elimination algorithm, Decision tree (ID3) algorithm, Artificial Neural Networks, Backpropagation Algorithm, Naïve

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Implementation of Linear and Polynomial Regression in Python

Download Final Year Projects   Implementation of Linear and Polynomial Regression in Python – Machine Learning In this tutorial, we will understand the Implementation of Polynomial Linear Regression in Python – Machine Learning. Importing the Necessary libraries To begin the implementation first we will import the necessary libraries like NumPy for numerical computation, MatPlotlib for

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Implementation of Simple Linear Regression in Python

Download Final Year Projects   Implementation of Simple Linear Regression in Python – Machine Learning In this tutorial, we will understand the Implementation of Simple Linear Regression in Python – Machine Learning. Importing the Necessary libraries To begin the implementation first we will import the necessary libraries like NumPy for numerical computation, MatPlotlib for visualization,

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