Machine Learning Tutorial Python | Machine Learning For Beginners - Machine Learning Tutorial Python 12 - K Fold Cross Validation

Many times we get in a dilemma of which machine learning model should we use for a given problem. KFold cross validation allows us to evaluate performance of a model by creating K folds of given dataset. This is better then traditional train_test_split. In this tutorial we will cover basics of cross validation and kfold. We will also look into cross_val_score function of sklearn library which provides convenient way to run cross validation on a model #MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #MachineLearningModel #sklearn #sklearntutorials #scikitlearntutorials Code: https://github.com/codebasics/py/blob/master/ML/12_KFold_Cross_Validation/12_k_fold.ipynb Exercise: Exercise description is avialable in above notebook towards the end Exercise solution: https://github.com/codebasics/py/blob/master/ML/12_KFold_Cross_Validation/Exercise/exercise_kfold_validation.ipynb Topics that are covered in this Video: 0:00 Introduction 0:21 Cross Validation 1:02 Ways to train your model( use all available data for training and test on same dataset) 2:08 Ways to train your model( split available dataset into training and test sets) 3:26 Ways to train your model (k fold cross validation) 4:26 Coding (start) (Use hand written digits dataset for kfold cross validation) 8:23 sklearn.model_selection KFold 9:10 KFold.split method 12:21 StratifiedKFold 19:45 cross_val_score Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses. Next Video: Machine Learning Tutorial Python - 13: K Means Clustering: https://www.youtube.com/watch?v=EItlUEPCIzM&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=14 Populor Playlist: Data Science Full Course: https://www.youtube.com/playlist?list=PLeo1K3hjS3us_ELKYSj_Fth2tIEkdKXvV Data Science Project: https://www.youtube.com/watch?v=rdfbcdP75KI&list=PLeo1K3hjS3uu7clOTtwsp94PcHbzqpAdg Machine learning tutorials: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw Pandas: https://www.youtube.com/watch?v=CmorAWRsCAw&list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy matplotlib: https://www.youtube.com/watch?v=qqwf4Vuj8oM&list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl Python: https://www.youtube.com/watch?v=eykoKxsYtow&list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0&index=1 Jupyter Notebook: https://www.youtube.com/watch?v=q_BzsPxwLOE&list=PLeo1K3hjS3uuZPwzACannnFSn9qHn8to8 Tools and Libraries: Scikit learn tutorials Sklearn tutorials Machine learning with scikit learn tutorials Machine learning with sklearn tutorials To download csv and code for all tutorials: go to https://github.com/codebasics/py, click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file. 🌎 My Website For Video Courses: https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description Need help building software or data analytics and AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Codebasics Instagram: https://www.instagram.com/codebasicshub/ 🔊 Codebasics Facebook: https://www.facebook.com/codebasicshub 📝 Codebasics LinkedIn: https://www.linkedin.com/company/codebasics/ 📱 Codebasics X handle: https://twitter.com/codebasicshub 📸 Dhaval's Instagram: https://www.instagram.com/dhavalsays/ 📝 Dhaval's LinkedIn: https://www.linkedin.com/in/dhavalsays/ 📱 Dhaval's X handle: https://x.com/dpcodebasics 🔗 Patreon: https://www.patreon.com/codebasics?fan_landing=true