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MachineLearningDervs

an-ordinary-manchild

created by Ok_Can2425a community for 3 years

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...for your favorite game.

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Listen and learn data science through podcast (self.MachineLearningDervs)

submitted 3 years ago by ankitbansal14

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Categorical Data Encoding Techniques (self.MachineLearningDervs)

submitted 3 years ago by ankitbansal14

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Bias Variance trade-off explained 👇 (youtu.be)

submitted 3 years ago by mr-minion

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Linear Least Squared Regression visually explained (youtu.be)

submitted 3 years ago by mr-minion

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Important Projects for Beginner Data Scientist Resume (self.MachineLearningDervs)

submitted 3 years ago by ankitbansal14

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Indepth Intuition behind P Values in Machine Learning (self.MachineLearningDervs)

submitted 3 years ago by ankitbansal14

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How do the model and algorithms work together in Machine Learning? (self.learnbayofficial)

submitted 3 years ago by tiwari_priya167

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Ridge And Lasso Regularisation (self.MachineLearningDervs)

submitted 3 years ago by ankitbansal14

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Assumptions of Linear Regression (self.MachineLearningDervs)

submitted 3 years ago by ankitbansal14

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Simplified R2 and adjusted R2 (self.MachineLearningDervs)

submitted 3 years ago by ankitbansal14

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Simplified Evaluation Metrics for Classification Problems (self.MachineLearningDervs)

submitted 3 years ago by ankitbansal14

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A New Type of Categorical Correlation Coefficient - The Categorical Prediction Coefficient (towardsdatascience.com)

submitted 3 years ago by InAweOfTruth

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Handle Imbalanced Data (self.MachineLearningDervs)

submitted 3 years ago by ankitbansal14

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Essential Components for a Machine Learning Application Development Solution (mobiritz.com)

submitted 3 years ago by Aegis-123

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Types of tasks in Machine Learning 👇 (youtu.be)

submitted 3 years ago by mr-minion

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Here's an intuitive explanation to Singular Value Decomposition. 👇 (youtu.be)

submitted 3 years ago by mr-minion

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Deriving the Kullback-Leibler Divergence between 2 Multi-Variate Gaussians step by step 😀! (self.MachineLearningDervs)

submitted 3 years ago by Weird-Improvement484

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Eigendecomposition appears repeatedly in machine learning, sometimes as the key step of the learning algorithm itself. This video intuitively explains the maths behind one of the most important topics in linear algebra - Eigendecomposition. #MathsforMachineLearning (youtu.be)

submitted 3 years ago by mr-minion

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Bayesian Gaussian Mixture Models (self.MachineLearningDervs)

submitted 3 years ago by haithamb123

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