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Lecture 32 : Synthesis of Industrial Polymers, by Rajat K Das

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Lecture 3: Molecular Weight Determination of Polymers (Contd.), by Rajat K Das

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Lecture 22 : Design of Chemical Reactors, by Rajat K Das

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Lecture 33 : Synthesis of Industrial Polymers (Contd..), by Rajat K Das

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Lecture 6Principles of Step Growth Polymerization, by Rajat K Das

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Lecture 8Principles of Step Growth Polymerization (Contd..), by Rajat K Das

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Linear Algebra-Distance,Hyperplanes and Halfspaces,Eigenvalues,Eigenvectors (Continued 2), by Ragunathan Rengasamy

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Linear Algebra Part-2, by Ragunathan Rengasamy

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Data Visualization in R Basic Graphics, by Ragunathan Rengasamy

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Diagnostics to Improve Linear Model Fit, by Ragunathan Rengasamy

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Linear Algebra for Data Science, by Ragunathan Rengasamy

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Solving Data Analysis Problems-A Guided Thought Process, by Ragunathan Rengasamy

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Gradient (Steepest) Descent (OR) Learning Rule, by Ragunathan Rengasamy

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Lists Part-2, by Ragunathan Rengasamy

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Muliple Linear Regression, by Ragunathan Rengasamy

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Dealing with Missing Data, by Ragunathan Rengasamy

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Model Assessment, by Ragunathan Rengasamy

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Case Study on Classification Part I, by Ragunathan Rengasamy

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K-Nearest Neighbors Implementation in R, by Ragunathan Rengasamy

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Multivariate Optimization with Equality Constraints, by Ragunathan Rengasamy

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Multivariate Optimization with Inequality Constraints, by Ragunathan Rengasamy

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Solving Linear Equations, by Ragunathan Rengasamy

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Performance Measures, by Ragunathan Rengasamy

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Introduction to Python for Data Science, by Ragunathan Rengasamy

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Recasting and Joining of Dataframes, by Ragunathan Rengasamy

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Multiple Linear Regression Modelling Building and Selection, by Ragunathan Rengasamy

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Linear Algebra Part-1, by Ragunathan Rengasamy

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Logisitic Regression Implementation in R, by Ragunathan Rengasamy

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Unconstrained Multivariate Optimization (Continued), by Ragunathan Rengasamy

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Exploratory Data Analysis, by Ragunathan Rengasamy

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