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Until recently, Karl Pearson Correlation analysis was one of the most popular methods to measure linear association between two or more than two variables in a data set. For example, establishing the Karl Pearson Correlation between X variable and Y variable, where both variables belong to a single data set. Canonical Correlation Analysis (CCA), on the other hand, helps measure the correlation among variables which are in different datasets.
correlation, correlation in supervised learning, Supervised learningCorrelation analysis is conducted to examine the relationship between dependent and independent variables. There are two types of correlation analysis in STATA.
correlation, empirical analysis with econometrics, regression analysis, regression with stata, STATA for data analysisThis article explains the different correlation and regression analysis values that are generated after conducting the tests. Their meaning, importance and how to interpret them are explained here.
correlation, regression analysis, spss intermediateFeature engineering is used after the data preparation step which involves handling missing values, removing duplicates, detecting outliers, and encoding categorical variables.
feature engineering, module-56, sentiment analysis applicationIncremental learning also known as continuous learning is a crucial paradigm in machine learning that enables models to adapt over time. The world is generating an enormous amount of data, often in continuous streams, which makes traditional data analysis methods difficult.
coding, module-56, python-coding, sentiment analysis applicationThe overwhelming volume of social media data has created complex challenges for digital governance and policy-making, particularly in identifying and addressing social bias embedded in online discourse.
basics of sentiment analysis, module-56, python-codingNatural language processing is a field of AI that deals with the interaction between computers and human language. It helps machines understand, interpret, and generate human language
basics of sentiment analysis, module-56Sentiment analysis helps to detect different emotions like happiness, anger, or sadness in a phrase or text like product review, feedback, comments or opinions in a social network.
basics of sentiment analysis, module-56, python-coding