MACHINE LEARNING RECIPES
DATA CLEANING PYTHON
DATA MUNGING
PANDAS CHEATSHEET
ALL TAGS
# How to create data for curve using curve function?

# How to create data for curve using curve function?

This recipe helps you create data for curve using curve function

How to create data for the curve using the curve function in R? A curve is used for plotting functions/ equations in R and can be created using a curve () in R. The data in curve () is created first by passing the equation of the curve the user wants to plot followed by the interval scale in which the user wants to plot the curve and then specify any color, xlabel and ylabel for the curve. The following example demonstrates an example for creating a curve using curve ()

syntax - curve(equation,col,xlab,ylab,main) where, equation - write the equation for which we want a curve col(optional) - color to the curve xlab - label to the X axis ylab - label to the Y axis main - title for the chart / plot

```
curve(x ^ 3 + - 3*x^2 - 8*x - 12, -10, 10, col='blue', xlab = "x_value", ylab = "y_value", main="A cubic equation curve") # Creating a cubic equation curve
```

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

In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.

Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

Build your own image similarity application using Python to search and find images of products that are similar to any given product. You will implement the K-Nearest Neighbor algorithm to find products with maximum similarity.

Deep Learning Project to implement an Abstractive Text Summarizer using Google's Transformers-BART Model to generate news article headlines.

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.

Use the Mercari Dataset with dynamic pricing to build a price recommendation algorithm using machine learning in Python to automatically suggest the right product prices.

In this machine learning project, you will use the video clip of an IPL match played between CSK and RCB to forecast key performance indicators like the number of appearances of a brand logo, the frames, and the shortest and longest area percentage in the video.

Use the Zillow dataset to follow a test-driven approach and build a regression machine learning model to predict the price of the house based on other variables.