## Top 100 Machine Learning Interview Questions and Answers

In this post, we will discuss Top 100 Machine Learning Interview Questions and Answers.

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## Top 100 Machine Learning Interview Questions and Answers

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## Decision Tree vs Linear Regression

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## How to Disable Warnings in Python and Pandas

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## What is the Key Mystery about Deep Learning Neural Network

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## What is R Squared for Linear Regression

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## Using torchvision transforms for data augmentation

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## Cast a Tensor to another Type in TensorFlow

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## Scatter Plot using Lmplot Function of Seaborn

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## Difference between Logistic Regression and Support Vector Machine SVM

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## Logistic Regression Machine Learning Algorithm from Scratch in Python

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## Cast a Tensor to another Type in PyTorch

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In this post, we will discuss Top 100 Machine Learning Interview Questions and Answers.

Decision Tree can be used for implementing regression as well as classification models, however , Linear Regression can be used for regression problem only. Decision tree can be used for regression, even when there is non linear relationships between the features and the output variable.Â However, Linear Regression works really nicely when there is linear relationship…

What is warning in Python? A Python warning is a message that informs the developer of potentially hazardous or faulty code. It’s a way for the interpreter to warn that a problem could arise in the future while still allowing the code to run.Python’s warnings module is responsible for issuing warnings, which can be created…

Key Mystery about Deep Learning Neural Network is a short video to discuss one of the key mystery about Deep Learning Neural Network. Happy Learning !!

For Linear Regression, R-squared is a statistical term which indicates how close the data are to the fitted regression line. R-Squared is also known as coefficient of determination. R-squared = Explained variation in data / Total variation in data R-squared = 1 – (RSS/TSS) RSS = Sum of squares of difference between predicted value and…

Transforms are common image transformations. torchvision transforms are used to augment the data with scaling, rotations, mirroring, cropping etc. Transforms are common image transformations. Let us create some possible transforms like RandomRotation , Resize, RandomResizedCrop etc. Below is the code to use transforms for the training, validation, and testing sets transforms.Compose([transforms.Resize(224),transforms.CenterCrop(64),transforms.ToTensor()]) Most neural networks expect the…

We can cast a Tensor to another type in tensorflow as below: Code as below: Neural Network Machine Learning Algorithm From Scratch in Python is a short video course to discuss an overview of the Neural Network Deep Learning Algorithm. In this video different concepts related to Neural Network Algorithm such as Dot Product of…

Apart from the methods scatterplot and regplot, seaborn also provides lmplot as another function to draw a scatterplot. However when we create scatter plots using seabornâ€™s lmplot, it will introduce a regression line in the plot. Let us first import libraries and load the data required to create the plot. Then lets use the below…

Both Logistic Regression and Support Vector Machine or SVM can be used for classification however there is some fundamental difference between them. Lets understand those differences when we are using Support Vector Machine as a classifier. Logistic Regression gives probabilities as output that can be interpreted as confidence in the classification decision however Support Vector…

Logistic Regression Machine Learning Algorithm From Scratch in Python is a short video course to discuss an overview of the Logistic Regression Machine Learning Algorithm. In this video different types of concepts related to Logistic Regression Algorithms such as Sigmoid and Optimization are discussed. Finally, the algorithm is implemented, step by step, in Python Programming…

We can cast a Tensor to another type in PyTorch as below: Neural Network Machine Learning Algorithm From Scratch in Python is a short video course to discuss an overview of the Neural Network Deep Learning Algorithm. In this video different concepts related to Neural Network Algorithm such as Dot Product of Matrix, Sigmoid, Sigmoid…