MACHINE LEARNING RECIPES
DATA CLEANING PYTHON
DATA MUNGING
PANDAS CHEATSHEET
ALL TAGS
Explain what is subplot with an example using matplotlib?
Explain what is subplot with an example using matplotlib?
This recipe explains what what is subplot with an example using matplotlib
Recipe Objective.
what is subplot in matplotlib? Explain with a example.
Subplots is predefined method in Matplotlib Library through this we can plot multiple plots on a single figure by giving the number of rows and columns.
Step 1- Importing Libraries.
import matplotlib.pyplot as plt
import numpy as np
Step 2- Creating arrays.
x = np.arange(1.0, 10.0, 0.5)
y = np.arange(1.0, 10.0, 0.5)
Step 3- Plotting the graphs
fig, axs = plt.subplots(2)
fig.suptitle('mirrored images')
axs[0].plot(x, y)
axs[1].plot(x, -y)
Relevant Projects
Build a Collaborative Filtering Recommender System in Python
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
German Credit Dataset Analysis to Classify Loan Applications
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
Ensemble Machine Learning Project - All State Insurance Claims Severity Prediction
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.
Predict Census Income using Deep Learning Models
In this project, we are going to work on Deep Learning using H2O to predict Census income.
Data Science Project - Instacart Market Basket Analysis
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
Human Activity Recognition Using Multiclass Classification in Python
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.
Customer Market Basket Analysis using Apriori and Fpgrowth algorithms
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.
Mercari Price Suggestion Challenge Data Science Project
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
Data Science Project-TalkingData AdTracking Fraud Detection
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.