Normalized Nerd
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Standardization vs Normalization Clearly Explained!
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GridSearchCV | Hyperparameter Tuning | Machine Learning with Scikit-Learn Python
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Multiprocessing in Python | Basics to Advanced | Tutorial - 1
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Covariance Clearly Explained!
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Random Forest Algorithm Clearly Explained!
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What's my Data Science background? QnA | NORMALIZED NERD
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Markov Chains: Simulation in Python | Stationary Distribution Computation | Part - 7
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Forward Algorithm Clearly Explained | Hidden Markov Model | Part - 6
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Naive Bayes Classifier in Python (from scratch!)
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Decision Tree Regression in Python (from scratch!)
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Decision Tree Regression Clearly Explained!
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Decision Tree Classification in Python (from scratch!)
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Decision Tree Classification Clearly Explained!
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Watch this to learn Machine Learning in 2021!
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Hidden Markov Model Clearly Explained! Part - 5
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Markov Chains: Generating Sherlock Holmes Stories | Part - 4
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Markov Chains: n-step Transition Matrix | Part - 3
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Markov Chains: Recurrence, Irreducibility, Classes | Part - 2
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Markov Chains Clearly Explained! Part - 1
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Monte Carlo Simulation with Card Games
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Gambler's Fallacy vs Regression toward the Mean
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The Central Limit Theorem Clearly Explained!
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MegaFavNumbers - 115,132,219,018,763,992,565,095,597,973,971,522,401 is the last of its kind!
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What is Norm in Machine Learning?
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Why do we need Cross Entropy Loss? (Visualized)
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The Math Behind Bayesian Classifiers Clearly Explained!
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Top 11 Pandas Tricks Every Data Science Lover Should Know
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GAN Generates English & Bengali Alphabets | How to Train a GAN?
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The Math Behind Generative Adversarial Networks Clearly Explained!
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A.I. Evolves to Play Hit the Ball | Neural Network + Genetic Algorithm
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