Edmonton Navigation System

Last Updated on May 3, 2021

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Edmonton Navigation System                                                                               03/2021 to 04/2021

·      Created, in a team of two, a client-server based application that allows the user to scroll around on the map of Edmonton to select start and end points of a trip, and the server then computes the shortest path between the selected two points and returns to the client the route information.

·      Worked with the graph class, heap class, sockets and pipes using C++.

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Classification

Last Updated on May 3, 2021

About

What is classification?

In machine learning, classification refers to a predictive modeling problem where a class label is predicted for a given example of input data. Examples of classification problems include: Given an example, classify if it is spam or not. Given a handwritten character, classify it as one of the known characters.

Types of Classification 

}3.1 Logistic Regression


}3.2 K-Nearest Neighbors (K-NN)


}3.3 Support Vector Machine


}3.4 kernel svm


}3.5 Naïve bayes


}3.6 Decision tree classification


}3.7 Random forest classification 

Table of contents 

}Importing the libraries 

}Importing the dataset

}Splitting the dataset into the Training set and Test set

}Feature Scaling

}Training the model on the Training set 

}Predicting a new result

}Predicting the Test set results

} Making the Confusion Matrix

}Visualizing the Training set results

}Visualizing the Test set results   


}Problem description: A car company is releasing a new suv car model . we are given a dataset of 400 outcomes with customer’s age , salary and whether they have purchased it before or not I have to predict which customer is going to buy that suv .

Dataset 

RESULT FOR ALL:

Logistic Regression

K-Nearest Neighbors (K-NN)

Support Vector Machine

kernel svm