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7 MedTech Datasets to Diagnose Diseases with Machine Learning

WEBShare this: 1. Heart Attack Analysis & Prediction Dataset 2. Stroke Prediction Dataset 3. MRI and Alzheimers 4. Chest X-Ray Images (Pneumonia)

Actived: 9 days ago

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5 Places To Find Datasets For Powerful Neuroscience Research

WEBPlaces to find Neuroscience Datasets. Brain Catalogue: This website has complete scans of the brains of various vertebrates including monkeys, lions, dolphins …

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Complete Glossary of Keras Optimizers and When to Use …

WEBWhen we use momentum in optimizers, we’re essentially referring to the momentum of the person in the analogy we took, to help us move in the right direction of …

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The Most Important Things You Need To Know About

WEBHierarchical Clustering is an unsupervised ML (Machine Learning) algorithm which is actually used to group the unlabeled datasets into a single group, and this …

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8 Unique Machine Learning Questions on Performance Metrics for

WEBPerformance Metrics are vital since they could save many issues from arising in certain situations. For example, a model may have high accuracy, but its true …

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Do You Understand How to Reduce Underfitting

WEBAdding features and complexity to your data can help overcome Underfitting. For example, you might add more hidden neurons in a neural network, or in a random …

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A Gentle Introduction to Feature Extraction and Feature

WEBWrapping up. In this article, you have learned the difference between feature extraction and feature selection. To recap, they are both feature reduction techniques, …

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Do You Understand How To Reduce Overfitting

WEBCross-Validation. One of the best ways that we have found to prevent overfitting is a technique known as k-fold Cross-Validation. The basic approach of this …

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16 Unique Machine Learning Interview Questions on K …

WEBK nearest neighbor algorithm is a supervised learning algorithm which is one of their biggest difference. K-means ML Interview Questions and Answers. Some …

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12 Unique ML Interview Questions on Linear Discriminant Analysis

WEBLDA works in a similar way to PCA. The aim of an LDA algorithm is to try to find the best linear combination that gives the maximum separation between the number …

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Quickly Master L1 vs L2 Regularization

WEBThus, output wise both the weights are very similar but L1 regularization will prefer the first weight, i.e., w1, whereas L2 regularization chooses the second …

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K-means for Beginners: How to Build from Scratch in Python

WEBElbow Method. In order to use the elbow method, you simply need to run your K-means algorithm multiple times, increasing the number of clusters by one each …

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8 Unique Machine Learning Interview Questions on Backpropagation

WEBIt is used to calculate the derivative/gradient of the loss function with respect to all the weights in the network. Backpropagation minimizes the cost/loss function by …

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The Most Important Things You Need To Know About Elastic Net

WEBThe penalties for each regression method is highlighted with a box. To form the elastic net regression, the highlighted penalty of L ridge is placed inside the L lasso …

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16 Unique Machine Learning Interview Questions on Naive Bayes

WEBNaive Bayes is based on the mathematical concept of the Bayes theorem as the name suggests. It is a collection of multiple algorithms which are based on the …

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11 Unique Machine Learning Interview Questions on Primary …

WEBPrincipal Component Analysis (PCA) is a dimensionality reduction technique that reduces the dimensionality of large data sets to improve classification accuracy. It …

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8 Unique Machine Learning Interview Questions about Bias and …

WEBThe working of Bias is quite basic, and so is Variance. Bias occurs when the training data contains points that are too based on one or more sets of features instead …

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How to Fix Common Errors Deploying Keras Model to Heroku

WEBFirst, create the file worker.py in the root directory with the following code: with Connection(conn): worker = Worker(map(Queue, listen)) worker.work() Next, add …

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