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9.27 - Learning resources
#Module 10 : Plotting for exploratory data analysis (EDA)
Section 10 is divided into sub sections
👉 10.1 Introduction to IRIS dataset and 2D scatter plot
👉 10.2 3D scatter plot
👉 10.3 Pair plots
👉 10.4 Limitations of Pair Plots
👉 10.5 Histogram and Introduction to PDF(Probability Density Function)
👉 10.6 Univariate Analysis using PDF
👉 10.7 CDF(Cumulative Distribution Function)
👉 10.8 Mean, Variance and Standard Deviation
👉 10.9 Median
👉 10.10 Percentiles and Quantiles
👉 10.11 IQR(Inter Quartile Range) and MAD(Median Absolute Deviation)
👉 10.12 Box-plot with Whiskers
👉 10.13 Violin Plots
👉 10.14 Summarizing Plots, Univariate, Bivariate and Multivariate analysis
👉 10.15 Multivariate Probability Density, Contour Plot
👉 10.16 Assignment-1: Data Visualization with Haberman Dataset
Section 10 is divided into sub sections
👉 10.1 Introduction to IRIS dataset and 2D scatter plot
👉 10.2 3D scatter plot
👉 10.3 Pair plots
👉 10.4 Limitations of Pair Plots
👉 10.5 Histogram and Introduction to PDF(Probability Density Function)
👉 10.6 Univariate Analysis using PDF
👉 10.7 CDF(Cumulative Distribution Function)
👉 10.8 Mean, Variance and Standard Deviation
👉 10.9 Median
👉 10.10 Percentiles and Quantiles
👉 10.11 IQR(Inter Quartile Range) and MAD(Median Absolute Deviation)
👉 10.12 Box-plot with Whiskers
👉 10.13 Violin Plots
👉 10.14 Summarizing Plots, Univariate, Bivariate and Multivariate analysis
👉 10.15 Multivariate Probability Density, Contour Plot
👉 10.16 Assignment-1: Data Visualization with Haberman Dataset
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10.1 Introduction to IRIS dataset and 2D scatter plot
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10.3 Pair plots
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10.4 Limitations of Pair Plots
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10.5 Histogram and Introduction to PDF(Probability Density Function)
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10.6 Univariate Analysis using PDF
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10.7 CDF(Cumulative Distribution Function)
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10.8 Mean, Variance and Standard Deviation
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10.10 Percentiles and Quantiles
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10.11 IQR(Inter Quartile Range) and MAD(Median Absolute Deviation)
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10.12 Box-plot with Whiskers
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10.13 Violin Plots
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10.14 Summarizing Plots, Univariate, Bivariate and Multivariate analysis
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10.15 Multivariate Probability Density, Contour Plot
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10.16 Assignment-1: Data Visualization with Haberman Dataset
#Module 11 : Linear Algebra
Section 11 is divided into sub sections
👉 11.1 Why learn it ?
👉 11.2 Introduction to Vectors(2-D, 3-D, n-D) , Row Vector and Column Vector
👉 11.3 Dot Product and Angle between 2 Vectors
👉 11.4 Projection and Unit Vector
👉 11.5 Equation of a line (2-D), Plane(3-D) and Hyperplane (n-D), Plane Passing through origin, Normal to a Plane
👉 11.6 Distance of a point from a Plane/Hyperplane, Half-Spaces
👉 11.7 Equation of a Circle (2-D), Sphere (3-D) and Hypersphere (n-D)
👉 11.8 Equation of an Ellipse (2-D), Ellipsoid (3-D) and Hyperellipsoid (n-D)
👉 11.9 Square ,Rectangle
👉 11.10 Hyper Cube,Hyper Cuboid
👉 11.11 Revision Questions
Section 11 is divided into sub sections
👉 11.1 Why learn it ?
👉 11.2 Introduction to Vectors(2-D, 3-D, n-D) , Row Vector and Column Vector
👉 11.3 Dot Product and Angle between 2 Vectors
👉 11.4 Projection and Unit Vector
👉 11.5 Equation of a line (2-D), Plane(3-D) and Hyperplane (n-D), Plane Passing through origin, Normal to a Plane
👉 11.6 Distance of a point from a Plane/Hyperplane, Half-Spaces
👉 11.7 Equation of a Circle (2-D), Sphere (3-D) and Hypersphere (n-D)
👉 11.8 Equation of an Ellipse (2-D), Ellipsoid (3-D) and Hyperellipsoid (n-D)
👉 11.9 Square ,Rectangle
👉 11.10 Hyper Cube,Hyper Cuboid
👉 11.11 Revision Questions
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11.1 Why learn it ?