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Create a machine learning model of a real-life process or object : Implementing a Multi Layer Perceptron (Artificial Neu

Create a machine learning model of a real-life process or object : Implementing a Multi Layer Perceptron (Artificial Neu

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers data visualization and analysis using Seaborn, focusing on pair plots and correlation heatmaps to understand data relationships. It then transitions to implementing a multilayer perceptron using TensorFlow and Keras, highlighting the integration of Keras in TensorFlow 2 for building neural networks. The tutorial emphasizes the importance of data preprocessing and feature selection before model training.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of using a pair plot in data visualization?

To display the summary statistics of the dataset

To visualize the distribution of a single feature

To plot the correlation between two features

To understand the relationship between all pairs of features

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which library is used to create a correlation heatmap in the video?

Pandas

NumPy

Seaborn

Matplotlib

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a correlation value close to 0 indicate?

No or very weak correlation

Perfect correlation

Strong negative correlation

Strong positive correlation

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to perform feature selection before applying machine learning models?

To make the dataset larger

To ensure all features are included

To reduce computational cost and improve model performance

To increase the number of features

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of TF Keras in TensorFlow 2?

It is a separate library from TensorFlow

It is used for data preprocessing

It is the officially endorsed high-level API for building neural networks

It is used for data visualization

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of problem is being solved with the neural network in the video?

Clustering

Classification

Dimensionality Reduction

Regression

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which optimizer is used in the neural network model discussed in the video?

Adagrad

Stochastic Gradient Descent (SGD)

RMSprop

Adam

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