UNIT 1:
Big Data and Data Science,Data Analytics- Types, Tools, and Applications;
Big Data and Data Science,Data Analytics- Types, Tools, and Applications;
Big Data and Data Science,Data Analytics- Types, Tools, and Applications;
Big Data and Data Science,Data Analytics- Types, Tools, and Applications;
A Project on Data Analytics - A Little History on Methodologies for Data Analytics
A Project on Data Analytics - A Little History on Methodologies for Data Analytics
KDD Process, CRISP-DM Methodology
KDD Process, CRISP-DM Methodology
UNIT 2:
Descriptive Statistics - Scale Types,
Descriptive Statistics - Scale Types,
Descriptive Univariate Analysis, Descriptive Bivariate Analysis;
Descriptive Univariate Analysis, Descriptive Bivariate Analysis;
UNIT 3:
Differences between Values of Common Attribute Types
Differences between Values of Common Attribute Types
UNIT 4:
Predictive Performance Measures for Classification;
Logistic Regression Algorithm, Naive Bayes Algorithm
Distance-based Learning Algorithms
UNIT 5:
Regression and its types;
