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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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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)

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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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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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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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8 Unique Machine Learning Interview Questions about Anomaly …

WEBThe three approaches to detect anomalies are: 1) By Density – Normal points occur in dense regions, while anomalies occur in sparse regions. 2) By Distance – …

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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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Exploratory Data Analysis in Python: Beginner’s Guide for …

WEBEDA is one of the first and foremost steps of a data science project and sets the whole project into motion. It provides the project a specific direction and plan. …

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How to make a Flask Web App for Keras Model

WEBHopefully this article has given you some clarity on the process of creating a flask web app for keras machine learning models. Once you have created your own web …

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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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8 Unique Machine Learning Interview Questions about Random …

WEBThe random forest is a supervised learning algorithm in Machine Learning. It is called random since the data samples it creates for making the decision trees are …

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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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8 Unique Machine Learning Interview Questions about DBSCAN

WEBDBSCAN works by utilizing the following steps: 1) The user selects the values of its parameters eps and min_pts. 2) For every point ‘x’ in the dataset, its …

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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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17 Unique Machine Learning Interview Questions on Logistic …

WEBLogistic regression converts the data in a range of 0 to 1 to predict the class it belongs to. If the value is less than 0.5 then it belongs to class 0 and if the value is …

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16 Unique Machine Learning Interview Questions on K-means

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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15 Unique Gradient Boosted Decision Trees Interview Questions

WEBCalculate the residuals. Predict residuals by building a decision tree. Predict the target label using all the trees within the ensemble. Compute the new residuals. …

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16 Unique Machine Learning Interview Questions on SVM

WEBHard Margin SVMs are those that work only if the data is linearly separable. They have a ‘hard’ constraint on them. Hence these types of SVMs are quite sensitive to …

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