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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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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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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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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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Exploratory Data Analysis in Python: Beginner’s Guide for 2021

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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Complete Glossary of Keras Optimizers and When to Use Them

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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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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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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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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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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Visualize Machine Learning Data with Seaborn and Pandas

WEBFirst, we need to import the necessary libraries and load the dataset using pandas. import pandas as pd. import seaborn as sns. df = …

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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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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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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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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 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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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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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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