December 2, 2020 Classification, Intermediate, Libraries, Machine Learning, NLP, Programming, Project, Python, Spark, Text, Unstructured Data Leave a comment

How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark

Overview Streaming data is a thriving concept in the machine learning space Learn how to use a machine learning model (such as logistic regression) to make predictions on streaming data using PySpark We’ll cover the basics of Streaming Data and Spark Streaming, and then dive into the implementation part Introduction Picture this – every second, more than 8,500 Tweets are sent, more than 900 photos are uploaded on Instagram, more than 4,200 Skype calls are made, more than 78,000 […]

November 30, 2020 Python

Seaborn Distribution/Histogram Plot – Tutorial and Examples

Introduction Seaborn is one of the most widely used data visualization libraries in Python, as an extension to Matplotlib. It offers a simple, intuitive, yet highly customizable API for data visualization. In this tutorial, we’ll take a look at how to plot a histogram plot in Seaborn. We’ll cover how to plot a histogram with Seaborn, how to change Histogram bin sizes, as well as plot Kernel Density Estimation plots on top of Histograms and show distribution data instead of […]

November 30, 2020 Python

Matplotlib Bar Plot – Tutorial and Examples

Introduction Matplotlib is one of the most widely used data visualization libraries in Python. From simple to complex visualizations, it’s the go-to library for most. In this tutorial, we’ll take a look at how to plot a bar plot in Matplotlib. Bar graphs display numerical quantities on one axis and categorical variables on the other, letting you see how many occurrences there are for the different categories. Bar charts can be used for visualizing a time series, as well as […]

November 27, 2020 Python

Matplotlib: Change Scatter Plot Marker Size

Introduction Matplotlib is one of the most widely used data visualization libraries in Python. Much of Matplotlib’s popularity comes from its customization options – you can tweak just about any element from its hierarchy of objects. In this tutorial, we’ll take a look at how to change the marker size in a Matplotlib scatter plot. Import Data We’ll use the World Happiness dataset, and compare the Happiness Score against varying features to see what influences perceived happiness in the world: […]

November 27, 2020 Python

How to Check if List is Empty in Python

Introduction Lists are one of the four most commonly used data structures provided by Python. Its functionality, extensibility, and ease of use make it useful for implementing various types of functionalities. Python lists have a few interesting characteristics: Mutability – meaning it can change, which means it allows us to easily add and delete entries from it. This is the main difference between Python lists and tuples Homogeneity – meaning all elements within one list have to be of the […]

November 27, 2020 Python

Matplotlib Histogram Plot – Tutorial and Examples

Introduction Matplotlib is one of the most widely used data visualization libraries in Python. From simple to complex visualizations, it’s the go-to library for most. In this tutorial, we’ll take a look at how to plot a histogram plot in Matplotlib. Histogram plots are a great way to visualize distributions of data – In a histogram, each bar groups numbers into ranges. Taller bars show that more data falls in that range. A histogram displays the shape and spread of […]

November 27, 2020 Python

Convert Bytes to String in Python

Introduction In this article, we’ll take a look at how to convert Bytes to a String in Python. By the end of this article you will have a clear idea of what these types are and how to effectively handle data using them. Depending on the version of Python you’re using, this task will differ. Although Python 2 has reached its end of life, many projects still use it, so we’ll include both the Python 2 and Python 3 approaches. […]

November 24, 2020 Python

How to Change Plot Background in Matplotlib

Introduction Matplotlib is one of the most widely used data visualization libraries in Python. From simple to complex visualizations, it’s the go-to library for most. In this tutorial, we’ll take a look at how to change the background of a plot in Matplotlib. Importing Data and Libraries Let’s import the required libraries first. We’ll obviously need Matplotlib, and we’ll use Pandas to read the data: import matplotlib.pyplot as plt import pandas as pd Specifically, we’ll be using the Seattle Weather […]

November 24, 2020 Python

Rotate Axis Labels in Matplotlib

Introduction Matplotlib is one of the most widely used data visualization libraries in Python. Much of Matplotlib’s popularity comes from its customization options – you can tweak just about any element from its hierarchy of objects. In this tutorial, we’ll take a look at how to rotate axis text/labels in a Matplotlib plot. Creating a Plot Let’s create a simple plot first: import matplotlib.pyplot as plt import numpy as np x = np.arange(0, 10, 0.1) y = np.sin(x) plt.plot(x, y) […]

November 21, 2020 Python

Flask Form Validation with Flask-WTF

Introduction Form validation is one of the most essential components of data entry in web applications. Users can make mistakes, some users are malicious. With input validation, we protect our app from bad data that affects business logic and malicious input meant to harm our systems Trying to process unvalidated user inputs can cause unexpected/unhandled bugs, if not a server crash. In this context, validating data means verifying input and checking if it meets certain expectations or criteria(s). Data validation […]

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