MACHINE LEARNING RECIPES
DATA CLEANING PYTHON
DATA MUNGING
PANDAS CHEATSHEET
ALL TAGS
What is Vstack in python?
What is Vstack in python?
This recipe explains what is Vstack in python
Recipe Objective
While operating with arrays, we might be interested in adding a row to an array. It can be easily done by vstack.
So this recipe is a short example to understand vstack in python. Let's get started.
Step 1 - Import the library
import numpy as np
Let's pause and look at these imports. Numpy is generally helpful in data manipulation while working with arrays. It also helps in performing mathematical operation.
Step 2 - Setup the Data
a = np.ones((3, 3))
b= np.array((2,2,2))
Here, we are creating two simple arrays.
Step 3 - Using Vstack
print(np.vstack( (a,b) ))
Here, we have simply added row b to array a using vstack.
Step 4 - Let's look at our dataset now
Once we run the above code snippet, we will see:
[[1. 1. 1.] [1. 1. 1.] [1. 1. 1.] [2. 2. 2.]]
Relevant Projects
Ecommerce product reviews - Pairwise ranking and sentiment analysis
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.
Predict Census Income using Deep Learning Models
In this project, we are going to work on Deep Learning using H2O to predict Census income.
Music Recommendation System Project using Python and R
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
Deep Learning with Keras in R to Predict Customer Churn
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.
Identifying Product Bundles from Sales Data Using R Language
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.
Demand prediction of driver availability using multistep time series analysis
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.
Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
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.
Walmart Sales Forecasting Data Science Project
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.
Credit Card Fraud Detection as a Classification Problem
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
Data Science Project in Python on BigMart Sales Prediction
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.