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Assignment
Assignment topic is KDD AND CRISP PROCESS and due date is .
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Assignment
Assignment topic is KDD AND CRISP PROCESS and due date is .
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Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics: A Little History on Methodologies for Data Analytics, ; Data Analytics- Types, Tools and Applications, KDD Process, CRISP-DM Methodology
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Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics:Descriptive Statistics, Scale Types,, Descriptive Univariate Analysis, Descriptive Bivariate Analysis; Descriptive Multivariate Analysis, Multivariate Frequencies, Multivariate Data Visualization, Multivariate Statistics, Infographics and Word Clouds, Data Quality - Missing Values, Redundant Data, Inconsistent Data, Noisy Data, Outliers, Distance Measures , Distance Measures for Non-conventional Attributes, Clustering Validation, Clustering Techniques - K-means, Centroids and Distance Measures, DBSCAN
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Question Bank
Dear Students the Question Bank has been uploaded for the following topics:Short Answers, Short Answers
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Youtube Video
Dear Students the Youtube Video has been uploaded for the following topics:KDD ProcessScale Type
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Puzzles
Dear Students the Puzzles has been uploaded for the following topics:Puzzle
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Resource Link
Dear Students the Resource Link has been uploaded for the following topics:Introduction to Data AnalyticsK-Means
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Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics:Big Data and Data Science, A Project on Data Analytics
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Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics:Binary Classification , Predictive Performance Measures for Classification, Distance-based Learning Algorithms, K-nearest Neighbor Algorithms, Case-based Reasoning; Probabilistic Classification Algorithms -, Binary Classification , Logistic Regression Algorithm, Naive Bayes Algorithm., Regression and its types, DA Applications for Text, Web and Social Media, Working with Texts, Recommender Systems, Social Network Analysis