Learn Machine Learning | Model Selection - k-Fold Cross Validation in R Language

Implement k-Fold Cross-Validation in R with 'caret' library, which optimizes the way to evaluate the model by fixing the variance problem for the training. *Model Selection Folder in Google Drive:* https://drive.google.com/drive/folders/1SV-EV4hRhngnXXYgKVOclF2FCE_2u2U_ *if you like this Video Support me for more Videos :* https://www.paypal.me/ismailelmahii *GET ALL THE CODES AND DATASETS HERE: https://drive.google.com/drive/folders/1OFNnrHRZPZ3unWdErjLHod8Ibv2FfG1d* *GET ALL THE CODES AND DATASETS .ZIP HERE: https://drive.google.com/file/d/1tbPDapMTfc4G36pIGAUFBBZoPNgUYTaJ* What you'll learn : - Master Machine Learning on Python & R - Have a great intuition of many Machine Learning models - Make accurate predictions - Make powerful analysis - Make robust Machine Learning models - Create strong added value to your business - Use Machine Learning for personal purpose - Handle specific topics like Reinforcement Learning, NLP and Deep Learning - Handle advanced techniques like Dimensionality Reduction - Know which Machine Learning model to choose for each type of problem - Build an army of powerful Machine Learning models and know how to combine them to solve any problem Tags : deep learning ai,what is deep learning,deep learning,deep learning explained,simplilearn deep learning,deep learning in 5 minutes,introduction to deep learning,what is deep learning and how it works,deep learning neural networks explained,what is deep learning and neural networks,what is deep learning and machine learning,what is deep learning in simple explanation,intelligence, deep learning, deep learning tutorial, deep learning full course, deep learning ai, deep learning projects, deep learning course, deep learning mit, deep learning vs machine learning, deep learning krish naik, deep learning andrew ng, deep learning playlist, deep learning a beginner's guide neural networks yunas, deep learning and neural networks, deep learning ai andrew ng, deep learning and machine learning, deep learning architecture, deep learning arcgis pro, deep learning applications, a deep learning approach to antibiotic discovery, a deep learning framework for character motion synthesis and editing, autoencoders deep learning, attention mechanism deep learning, ai deep learning, activation function in deep learning, ann deep learning, ai vs machine learning vs deep learning, ai machine learning deep learning, artificial intelligence machine learning and deep learning, deep learning basics, deep learning book, deep learning by krish naik, deep learning bangla, deep learning biology, deep learning by andrew ng, deep learning build, deep learning beginner tutorial, deep learning by campusx, deep learning book ian goodfellow, brain tumor detection using deep learning, best laptop for deep learning 2023, best deep learning course, bird species identification using deep learning, breast cancer detection using deep learning, best laptop for deep learning, best deep learning projects, biological and machine vision in deep learning, bert deep learning, deep learning codebasics, deep learning campusx, deep learning crash course, deep learning, deep learning coursera, deep learning cars, deep learning concepts, deep learning chatbot, cnn deep learning, campusx deep learning, code basics deep learning, convolution neural network in deep learning, cnn project deep learning, computer vision deep learning, complete deep learning krish naik, chatbot using deep learning python, cancer detection using deep learning, complete deep learning course, deep learning deeplizard, deep learning documentary, deep learning definition, deep learning data science, deep learning drug discovery, deep learning desktop, deep learning dropout, deep learning deepmind, deep learning demo, deep learning deployment, difference between machine learning and deep learning, data augmentation in deep learning, difference between ai ml and deep learning, deepfake detection using deep learning, deep feed forward neural network in deep learning, diffusion models deep learning, dropout in deep learning, deep generative models in deep learning, distributed representation in deep learning, deeplizard deep learning, deep learning explained, deep learning engineer, deep learning example, deep learning end to end project, deep learning edureka, deep learning engineer roadmap, deep learning explained simply, deep learning economics, deep learning examples in real life, deep learning english, encoder and decoder deep learning, end to end deep learning project, explainable ai for deep learning, emotion detection using deep learning, encoder decoder model in deep learning, energy based models deep learning, explain deep learning, ensemble learning in deep learning, edureka deep learning, evidential deep learning, deep learning for computer vision, deep learning freecodecamp, deep learning for beginners, deep learning from scratch, deep learning fundamentals, deep learning frameworks, deep learning