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... (+40 Hours of teaching and + 400 Coding Exercises): Learn Python for data science, automation, web development, and more.

In this video: In this video, we will learn Difference Between List, Set, Tuple, Dictionary with simple explanation and practical ...

SQL Interview Challenge: Find Customers Who Never Placed an Order | LEFT JOIN Problem | MySQL Workbench ...

xgboost is a high-performance machine learning library for gradient boosting and is widely used for structured and tabular data ...

The survival package is one of the core R tools for analysing time-to-event data, where the outcome is not simply whether ...

tidymodels is a collection of R packages that provides a consistent Tidyverse-style framework for machine learning and statistical ...

The lme4 package is one of the most widely used R packages for fitting mixed-effects models, especially when data contains ...

CS 3001: So, if you want to go for the data science part? It might not be like, I won't say it's not recorded at all, but might not be ...

glmnet is a powerful R package for fitting regularized regression models, including Lasso, Ridge and Elastic Net. In this video by ...

caret is a widely used R package that provides a unified framework for training, tuning and evaluating machine learning models ...

ProfileCheck is a machine learning web app that detects fake or bot Instagram accounts by username — no manual data entry ...

caret and tidymodels both provide structured frameworks for machine learning in R, but they differ in design philosophy, workflow ...

continued) Intro to AI.

Intro to the course & Intro to AI (to be continued...)

e1071 is a widely used R package for machine learning methods such as Support Vector Machines, Naive Bayes and clustering.

The emmeans package helps interpret fitted statistical models by calculating estimated marginal means, also known as ...

continued) Intro to AI (to be continued...)

keras for R provides a high-level interface for building and training deep learning models from R. In this video by Uplatz, we ...

randomForest is one of the classic machine learning packages in R for building ensemble models based on many decision trees.

mlr3 is a modern machine learning framework for R built around a modular, object-oriented architecture. In this video by Uplatz, ...