Matplotlib - Introduction Matplotlib - Vs Seaborn Matplotlib - Environment Setup Matplotlib - Anaconda distribution Matplotlib - Jupyter Notebook Matplotlib - Pyplot API Matplotlib - Simple Plot Matplotlib - Sa
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you can use various software applications and programming libraries. Popular options include Microsoft Excel, Google Sheets, and data visualization tools like Tableau and Power business intelligence (BI). Additionally, programming languages such as Python provide libraries like Matplotlib and Plotly, which...
Supervised learning is a machine learning technique that uses labeled data to train algorithms to predict outcomes. In the process, we train the machine with some data that is labelled correctly. It is is like having a supervisor while a machine learns to carry out tasks. Once the machine is...
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import matplotlib.pyplot as plt from sklearn.datasets import load_diabetes from sklearn.linear_model import LinearRegression from sklearn.model_selection import train_test_split from sklearn.metrics import mean_squared_error, r2_score 2. Loading the In-built Dataset ...
Seaborn01_How Python works with matplotlib along with seaborn 07:27 Seaborn03_How to make a Seaborn histogram plot with Python code? 12:39 Seaborn04_What is an ECDF plot And how to code an ECDF plot in Python? 15:40 Seaborn05_Box plot explanation, box plot demo, and how to ...
Scatterplot Connected XY Heatmap Flow/Movement The function here is to show movement data or the flow of data between conditions. For example, in data science, flow maps show how something like migration happens from one location to another. ...
1. Scatter plot: import matplotlib.pyplot as plt import numpy as np # Generate some sample data x = np.random.randn(100) y = np.random.randn(100) # Create a scatter plot plt.scatter(x, y) # Add axis labels plt.xlabel("X-axis") plt.ylabel("Y-axis") # Show the plot plt.show...
Linear discriminant analysis (LDA) is an approach used in supervised machine learning to solve multi-class classification problems.