Quantum School of Technology Syllabus - Data Visualization and Machine Learning Models PDF
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Quantum School of Technology
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This is a syllabus for the course "Data Visualization and Machine Learning Models" offered by the Quantum School of Technology. It outlines the course structure, including five units with various topics, and their estimated duration.
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Quantum School of Technology Roorkee - Dehradun Highway, Mandawar, Roorkee, Uttarakhand 247167 Fax No....
Quantum School of Technology Roorkee - Dehradun Highway, Mandawar, Roorkee, Uttarakhand 247167 Fax No. www.quantumuniversity.edu.in Syllabus Course Type: Computer Course : Master of Computer Applications Applications Year/sem: 3 Sem Branch : Created By: Data Visualization and Machine Learning Models CA43201 Unit Sub Unit Topic Duration Unit-1 Introduction to data visualization, Data for data graphics, Design principles, Categorical, time series, statistical 8 data graphics Unit-2 Introduction to Matplotlib, Basic Plotting with Matplotlib, Area Plots, Histograms, Bar Charts, Pie Charts, Box 7 Plots, Scatter Plots Unit-3 Introduction: what is ML; Problems, data, and tools;, Visualization; Matlab, Python, Linear regression; SSE;, 7 gradient descent, Overfitting and complexity; training, validation, test data Unit-4 Classification problems; decision boundaries, ; nearest neighbor methods,Linear classifiers,Ensemble 7 methods:, random forests, SVM, Neural Network unit-5 Introduction to Unsupervised classifiers: K-mean clustering, Fuzzy C-means, Gaussian etc. 7 Copyright @ Cyborg IT Services (P) Ltd. An ISO 9001: 2008 certified company Campsys
