MACHINE LEARNING RECIPES
DATA CLEANING PYTHON
DATA MUNGING
PANDAS CHEATSHEET
ALL TAGS
# How to multiply 2 numbers in R?

# How to multiply 2 numbers in R?

This recipe helps you multiply 2 numbers in R

This recipe demonstrates how to carry out one of the basic arithmetic operation i.e. Multiplication. We will perform Multiplication on two numbers and store them in the 'result' variable.

We assign numbers to two variables

```
a <- 10
b <- 5
```

We use the arithmetic operator " * " to carry out this task and finally store the result in a third variable

```
# storing the result of the multiplication of the two numbers stored in variables 'a' and 'b' in 'result'
result <- a * b
# displaying the value stored in result
result
```

50

Alternatively, we can also multiply two numbers without assigning any variables to it. Just like a calculator. This is done simply by writing the operation as mentioned below and pressing 'enter'

```
10*5
```

50

Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.

In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.

This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.

In this project, we are going to work on Deep Learning using H2O to predict Census income.

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.

This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.

In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

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.

In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.