Using ChatGPT for R Programming: How AI Helps and Where It Fails?: Explanation with Examples

Week 2: Basic Unit Level Models in Small Area Estimation | BLUP Derivation Explained

PCA in Python Step by Step | Dimensionality Reduction & Feature Extraction Explained

Week 1: When and Why to Use Small Area Estimation (SAE)? | Need of SAE in Pakistan

K-Means Clustering in Python | Classification of Objects with Unsupervised Learning

Quantile Regression in Python | Robust Modeling of Health Outcomes with Interpretation

Gamma Regression Step by Step in Python | Modeling Non-Normal Outcomes with Interpretation

Elastic Net Regression in Python Step-by-Step | Prediction, Variable Selection & Model Evaluation

Lasso Regression Analysis in Python | Prediction, Variable Selection & Model Evaluation

Ridge Regression in Python | Prediction, Variable Selection & Model Evaluation.

Naïve Bayes Classifier for Predicting Health Outcomes in Python | Evaluation, Visualization

Predicting Health Outcomes with GAM in Python | Evaluation, Visualization & Interpretation

Logistic Model Tree (LMT) for Predicting Health Outcomes| Interpretation, Evaluation, Visualization

XGBoost for Predicting Health Outcomes in Python: Interpretation, Evaluation, & Visualization

AdaBoost Algorithm for Predicting Health Outcomes in Python | Steps, Evaluation & Interpretation

Gradient Boosting Algorithm for Predicting Health Outcomes in Python | Step-by-Step Tutorial

Neural Networks for Predicting Health Outcomes in Python | Steps, Evaluation & Interpretation

K-Nearest Neighborhood Method for Predicting Health outcomes in Python with Interpretation

SVM Model for Health Outcome Prediction in Python| Preprocessing , Accuracy, AUC & Interpretation

Predicting Health Outcomes with Random Forest in Python | Interpretation, Visualization, Evaluation

CART in Python | Predicting Categorical Outcomes with Step-by-Step Interpretation & Visualization

How to Upload a YouTube Video Using Generative AI for Title, Description & Tags | Step-by-Step Guide

Poisson Regression in Python Explained: Count Data Modeling, Assumptions, Implementation

Data Science: Logistic Regression in Python: Classification, Confusion Matrix, ROC, F1 Score

Logistic Regression in Python: Assumptions, Implementation & Adjusted Odds Ratio Explained

Multiple Linear Regression in Python | Interpretation & Model Selection Using R-squared

Data Science: Simple Linear Regression for Prediction in Python | Train-Test Split, Model Evaluation

Simple Linear Regression in Python | Assumptions, Interpretation & Diagnostics Explained

Pearson, Spearman & Kendall Correlation in Python with Interpretation & Heatmap for Visualization

McNemar’s Test in Python | Paired Categorical Data Analysis with Interpretation

Assessing Association Between 2 Categorical Variables in Python: Chi-Square and Fisher's Exact Test

One-Way ANOVA with Post-hoc Analysis in Python | Step-by-Step Explanation & Interpretation

Independent Samples T-Test, Welch’s Test, and Paired Sample T-Test in Python With Interpretation

Data Visualization in Python: Pie Chart, Different Bar Charts, Scatter Plot Matrix & Heat Maps

Data Cleaning and Variable Transformation in Python: Handling Missing Values, Recoding & More

Frequency Distribution, Cross Tabulation & Chi-Square Test in Python: Explanation & Interpretation

Statistical Analysis in Python: Import, Explore, Summarize & Visualize Quantitative Variables

Multiple Linear Regression in Excel | Step-by-Step Tutorial with Interpretation

Simple Linear Regression in Excel | Step-by-Step Tutorial with Interpretation

Finding MLE for Poisson Distribution in R | Using optim() Function in R

Optimization of functions in R: An application to OLS estimation for a linear regression

How to Calculate and Test Spearman Rank Correlation in Excel (Step-by-Step Tutorial)

How to Calculate and Test Pearson Correlation in Excel (Step-by-Step Tutorial)

How to Apply Tukey’s HSD Test for Post-Hoc Comparison in Excel | Step-by-Step Guide with Example

How to Perform Repeated Measures ANOVA in Excel and Interpret the Results| Step by Step Explained

One-Way ANOVA in Excel Explained Step-by-Step with Interpretation (With Real Example!)

Video 9: Simplifying Shiny Apps: Using Functions & External Packages for Easy Programming

Video 8: How to Create a Shiny APP Where Users can Upload, Clean and Download Data Files Easily

Video 7: Creating Dynamic R Shiny Graphics that React with Clicks, Double Click and Hovers

Video 6: Exploring Different Themes for Shiny Apps Using Bootstrap Library in R

Video 5:Understanding Page Layouts and Multiple Pages in R Shiny Using fluidRow() Command

Assessing Agreement Between Two Diagnostic Tests in Excel: A Step-by-Step Guide

Evaluating Diagnostic Tests in Medical Studies with Excel | Step-by-Step Guide

How to Perform McNemar's Test in Excel - Simple Step-by-Step Explanation

How to Perform Chi-Square Test of Association in Excel | Step-by-Step Guide

Video 4: How Reactive Programming Works in R Shiny: Server Reactions to Input Changes (Example App)

Video 3: How to Handle Different Outputs in UI and Server Function with render() Command| R Shiny

Video 2: Basic of UI and Different types of Inputs in Shiny App: Explained with Examples

Video1: Build Your First Shiny App in R | Getting Started with R Shiny (Basic Examples)

How to Perform Repeated K-Fold Cross-Validation in R | Step-by-Step Guide for Model Evaluation