MACHINE LEARNING RECIPES
DATA CLEANING PYTHON
DATA MUNGING
PANDAS CHEATSHEET
ALL TAGS
# What is Scatterplot matrices in plotly?

# What is Scatterplot matrices in plotly?

This recipe explains what is Scatterplot matrices in plotly

What is Scatterplot matrieces, explain with example.

Scatterplot Matrix these are the matrix which are associated to "n" numerical arrays for e.g X1, X2, X3... and so on. These numerical arrays are nothing but the data variables, which are of same length. The cell (i,j) of the matrix displays a scatter plot of variables Xi, and Xj.

`import plotly.express as px `

`import seaborn as sns `

`Sample_data = sns.load_dataset("penguins")`

`Sample_data.head()`

`fig = px.scatter_matrix(Sample_data, color="species", dimensions=["bill_length_mm","bill_depth_mm","flipper_length_mm"])`

`fig.show()`

In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.

In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.

Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

Use the Adult Income dataset to predict whether income exceeds 50K yr based on
census data.

Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.

In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.

Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.