Correlation
Explore correlation concepts, from Pearson's coefficient to advanced topics like partial and rank correlations. Learn geometrical interpretations, multiple regression, and practical applications using R.
Statistics
Learn advanced statistical techniques including regression analysis, ANOVA, and model selection. Master key concepts like variance inflation, F-tests, and information criteria for robust data analysis.
Linear Regression in Python - Machine Learning - Linear Regression Algorithm
Comprehensive tutorial on linear regression, covering simple and multiple regression with Excel and Python implementations. Includes step-by-step examples and practical applications in data analysis.
Linear Regression Full Course
This “Linear Regression” Tutorial by Great Learning would help you to comprehensively learn all the underlying concepts of Linear Regression.
Exponential Family
Comprehensive exploration of exponential family distributions, covering theoretical aspects and practical applications using R for simulation and confirmation of results.
General Linear Models - Regression
Comprehensive exploration of linear regression models, covering simple and multiple regression techniques, statistical inference, model diagnostics, and advanced topics for in-depth statistical analysis.
Machine Learning with Python Tutorials
Explore AI, machine learning, and deep learning concepts, including linear regression models and practical applications like temperature estimation and virus prediction.
Machine Learning Using Spark MLLib
Learn to implement machine learning algorithms using Spark MLLib, covering linear regression techniques, data preprocessing, model building, and evaluation methods in a hands-on, practical approach.
Instrumental Variable Estimation for Multiple Linear Regression Models - Part IV
Explore IV techniques for MLRM, generalized MLRM, multiple instruments, and endogenous variables in econometric modeling.
Instrumental Variable Estimation - Part III
Explore IV techniques for MLRM, Generalised MLRM, multiple instruments, and endogenous variables in econometric analysis.
Multiple Linear Regression
Explore multiple linear regression techniques for analyzing relationships between multiple variables and predicting outcomes in statistical modeling.
Multiple Linear Regression: Model Building and Selection
Build and select multiple linear regression models through data loading, visualization, and iterative model refinement using R.
Multiple Linear Regression Model and Application of F Statistics - Part 5
Explore multiple linear regression models and apply F statistics in advanced statistical analysis. Enhance your understanding of complex data relationships and hypothesis testing.
Multiple Linear Regression Model and Application of F Statistics - Part 2
Explore advanced concepts of multiple linear regression and F-statistics, enhancing statistical analysis skills for complex data modeling.
Importance of Statistics in Forensic Science - Dr. Rajesh Verma
Explore multiple and logistic regression in forensic science with detailed examples. Builds on previous sessions to enhance statistical knowledge for evidence interpretation.