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#blender #sinhala #3dmodeling #rendering #blendereevee #blenderrendering #blenderrender : Image & Animation Rendering. Blender rendering tutorial for...
3D Modeling : Blender All VideosK Means algorithm is unsupervised machine learning technique used to cluster data points. In this tutorial we will go over some theory behind how k me...
Hindi Machine Learning TutorialMany 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 perform...
Hindi Machine Learning TutorialRandom forest is a popular regression and classification algorithm. In this tutorial we will see how it works for classification problem in machine le...
Hindi Machine Learning TutorialSupport vector machine is a popular classification algorithm. This tutorial covers some theory first and then goes over python coding to solve iris fl...
Hindi Machine Learning TutorialDecision tree algorithm is used to solve classification problem in machine learning domain. In this tutorial we will solve employee salary prediction...
Hindi Machine Learning TutorialLogistic regression is used for classification problems in machine learning. This tutorial will show you how to use sklearn logisticregression class t...
Hindi Machine Learning TutorialLogistic regression is used for classification problems in machine learning. This tutorial will show you how to use sklearn logisticregression class t...
Hindi Machine Learning Tutorialsklearn.model_selection.train_test_split method is used in machine learning projects to split available dataset into training and test set. This way y...
Hindi Machine Learning TutorialMachine learning models work very well for dataset having only numbers. But how do we handle text information in dataset? Simple approach is to use in...
Hindi Machine Learning TutorialTraining machine learning model can be quite time consuming if training dataset is very big. In this case it makes sense to train a model and save it...
Hindi Machine Learning TutorialIn this tutorial, we are covering few important concepts in machine learning such as cost function, gradient descent, learning rate and mean squared e...
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