KDnuggets

AUGUST 7, 2019

In this tutorial, you’ll use Python and Pandas to explore a dataset and create visual distributions, identify and eliminate outliers, and uncover correlations between two datasets.

Data Analysis 108

Data Analysis Python Datasets Data 108

KDnuggets

AUGUST 12, 2019

Semantic segmentation refers to the process of linking each pixel in an image to a class label. These labels could include a person, car, flower, piece of furniture, etc., just to mention a few. We’ll now look at a number of research papers on covering state-of-the-art approaches to building semantic segmentation models.

Building 94

Building Process Python 94

KDnuggets

SEPTEMBER 26, 2019

This article provides a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries.

Python 117

Python 117

ProjectPro

JUNE 6, 2025

The US Bureau of Labor Statistics states that computer and information research scientists would experience a job growth rate of 15% from 2019 to 2029. They are also required to be handy with a wide range of computer programming languages and platforms , including Python, Matlab, Linux, and C++.

Deep Learning 45

Deep Learning Engineering Programming Language Software Engineer 45

KDnuggets

JULY 26, 2019

This particular article focuses on crafting convolutional neural networks in Python using TensorFlow and Keras. Different neural network architectures excel in different tasks.

Python 123

Python Architecture 123

KDnuggets

NOVEMBER 7, 2019

This post will walkthrough a Python implementation of a vocabulary class for storing processed text data and related metadata in a manner useful for subsequently performing NLP tasks.

Python 122

Python Metadata Process Data Preparation 122

Knowledge Hut

APRIL 22, 2024

Anyone aspiring to be a data scientist, machine learning engineer, or software developer must have thought about learning Python. The same study found Python to be the most desired coding language among those who do not presently use it. The popularity of Python cannot be disputed. What is Python?

Python 98

Python Programming Language Data Science Programming 98

KDnuggets

NOVEMBER 21, 2019

This tutorial will take you through two options that have automated the geocoding process for the user using Python, Selenium and Google Geocoding API.

Python 120

Python Process 120

KDnuggets

NOVEMBER 21, 2019

Brush up on your Python basics with this post on creating, using, and manipulating tuples.

Python 102

Python Programming 102

KDnuggets

NOVEMBER 15, 2019

In Python, lists store an ordered collection of items which can be of different types. This post is an overview of lists and their manipulation.

Python 101

Python Programming 101

KDnuggets

SEPTEMBER 4, 2019

Save 40% on Get Programming with Python, Data Science with Python and Dask, and Learn Quantum Computing with Python and Q# with code nlpython40.

Python 88

Python Programming Data Science Coding 88

ProjectPro

JUNE 6, 2025

Additionally, the website reported that the number of job positions was almost similar in 2019 and 2020. And one of the most popular tools, which is more popular than Python or R , is SQL. A data engineer relies on Python and other programming languages for this task.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

Knowledge Hut

DECEMBER 26, 2023

In today’s AI-driven world, Data Science has been imprinting its tremendous impact, especially with the help of the Python programming language. Owing to its simple syntax and ease of use, Python for Data Science is the go-to option for both freshers and working professionals. This image depicts a very gh-level pipeline for DS.

Data Science 92

Data Science Python Programming Language Portfolio 92

ProjectPro

JUNE 6, 2025

The data is present in the form of text and needs to be pre-processed and you can use the NLTK Python library for this data preparation process. Tools and Libraries: Python, NLTK Dataset: Kaggle Resume Dataset Experience Hands-on Learning with the Best Course for MLOps 2. You can use the GluonNLP library for this purpose.

Project 98

Project Datasets Deep Learning Machine Learning 98

KDnuggets

NOVEMBER 8, 2019

Do you want to extract csv files with Python and visualize them in R? How does preparing everything in R and make conclusions with Python sound? Both are possible if you know the right libraries and techniques. Here, we’ll walk through a use-case using both languages in one analysis.

Python 99

Python 99

KDnuggets

NOVEMBER 14, 2019

The following guidelines will help you create the best representations of your data using R and Python's Pandas library. Producing accessible data visualizations is a key data science skill.

Python 96

Python Data Science Data Accessibility 96

KDnuggets

JULY 29, 2019

This free ebook is a great resource for data science beginners, providing a good introduction into Python, coding with Raspberry Pi, and using Python to building predictive models.

Python 77

Python Data Science Coding Building 77

KDnuggets

SEPTEMBER 4, 2019

In the following post, I am going to give a brief guide to four of the most established packages for interpreting and explaining machine learning models.

Machine Learning 123

Machine Learning Python 123

KDnuggets

DECEMBER 12, 2019

Check out this introduction to creating, accessing, and updating dictionaries in Python.

Python 84

Python Accessibility Accessible Programming 84

ProjectPro

JUNE 6, 2025

In fact, as per a report by Dice Insights in 2019, companies are hungry for data engineers as the job role ranked at the top of the list of trending jobs. The most popular programming language for data engineers is Python , which has an easy-to-understand syntax and helps quickly automate various tasks.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Pydantic AI, a Python agent framework, addresses these challenges by providing a fast, extensible solution for developers working with complex data in AI and machine learning projects. PydanticAI is a Python agent framework designed to simplify the development of production-grade applications using generative AI (GenAI).

Building 40

Building Pipeline-centric Database-centric Data Validation 40

KDnuggets

NOVEMBER 13, 2019

Whether you’re a beginner or an expert, there’s always new ways you can improve your Python coding. Save 40% off this trio of Manning Python books today! Just enter the code nlpropython40 at checkout when you buy from manning.com.

Python 68

Python Computer Science Coding 68

KDnuggets

AUGUST 21, 2019

This tutorial covers decision trees for classification also known as classification trees, including the anatomy of classification trees, how classification trees make predictions, using scikit-learn to make classification trees, and hyperparameter tuning.

Python 115

Python 115

Preset

NOVEMBER 19, 2023

Overview of Mode Analytics Founded in 2013, Mode is a business intelligence tool known for its integrated R and Python notebooks. Data teams can load SQL results directly into connected R and Python notebooks to extend analytics. In June 2019, the Looker team announced that they were being acquired by Google.

BI 52

BI Business Intelligence SQL Datasets 52

Marc Lamberti

FEBRUARY 21, 2022

As you know, Apache Airflow is written in Python, and DAGs are created via Python scripts. By leveraging Python, you can create DAGs dynamically based on variables, connections, a typical pattern, etc. Python globals with Apache Airflow You must know that Airflow loads any DAG object it can import from a DAG file.

Python 130

Python Metadata Coding Process 130

ProjectPro

JUNE 6, 2025

Transfer Learning Examples Keras Transfer Learning Implementation in Python Build exciting Deep Learning Systems with ProjectPro! Start working on these projects in data science using Python and excel in your data science career. Table of Contents What is Transfer Learning in Deep Learning? Why use Transfer Learning?

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

ProjectPro

JUNE 6, 2025

Project Idea: By merging using unique key values, you can take a look at the statistics of the dataset using Pandas dataframes and Matplotlib library of Python Programming language. Data Mining Project with Source Code in Python and Guided Videos - Machine Learning Project-Walmart Store Sales Forecasting.

Data Mining 52

Data Mining Coding Project Datasets 52

ProjectPro

JUNE 6, 2025

Computer Vision Mini Projects If you are looking for computer vision python projects that are quick to implement and do not take up a lot of time, then the projects in this section are best suited for you. Using OpenCV in Python, cartoonizing an image is simple. One such filter that we readily come across is the cartoon filter.

Project 66

Project Deep Learning Datasets Algorithm 66

LinkedIn Engineering

APRIL 18, 2023

LinkedIn engineers have been using Salt , a Python-based, open source software, for executing tasks on hosts for more than a decade now, due to its high performance and pluggability. The Zen of python) by Tim Peters. lipy-lisaltmaster: Python library for clients. For non python clients, i.e

MySQL 103

MySQL Python Bytes Kafka 103

ProjectPro

JUNE 6, 2025

Between 2019-02-01 and 2019-05-01, find the customer with the highest overall order cost. Next Steps: Preparing for Your Data Analyst Interview One of the best ways to prepare for a data analyst job interview is to work with projects that test your hands-on knowledge on diverse data analyst skills like SQL, Excel, Python, and others.

SQL 40

SQL MySQL MongoDB Data 40

KDnuggets

SEPTEMBER 18, 2019

Support for Python 2 will expire on Jan. 1, 2020, after which the Python core language and many third-party packages will no longer be supported or maintained. Take this survey to help determine and share your level of preparation.

Python 77

Python 77

KDnuggets

OCTOBER 31, 2019

A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer.

Python 118

Python Building Machine Learning Engineering 118

KDnuggets

SEPTEMBER 4, 2019

A recurring subject in NLP is to understand large corpus of texts through topics extraction. Whether you analyze users’ online reviews, products’ descriptions, or text entered in search bars, understanding key topics will always come in handy.

Python 122

Python 122

ProjectPro

JUNE 6, 2025

Get FREE Access to Machine Learning Example Codes for Data Cleaning , Data Munging, and Data Visualization 3) Boxplot with Seaborn Seaborn is another statistical graphics library in Python built on top of matplotlib. 5) Basic Interactive Binned Scatter Plot with Altair Altair is another statistical visualization library for Python.

Coding 67

Coding Project Machine Learning Datasets 67

ProjectPro

JUNE 6, 2025

Between 2019-02-01 and 2019-05-01, find the customer with the highest overall order cost. One of the best ways to prepare for a data analyst job interview is to work with projects that test your hands-on knowledge on diverse data analyst skills like SQL, Excel, Python, and others.

SQL 40

SQL MySQL MongoDB Database 40

Christophe Blefari

DECEMBER 9, 2022

The first one since 2019 and it was awesome, I met with a lot of people, the talks and the venue were awesome. You need to pip install their package and then you're able in Python to transform your tables. Paris Airflow Meetup 🧑‍🔧 On Tuesday I organised the 4th Paris Apache Airflow Meetup.

SQL 130

SQL Data Kafka Data Science 130

Knowledge Hut

MAY 3, 2024

Sequence is one of the most basic data types in Python. Although Python comes with six types of pre-installed sequences, the most used ones are lists and tuples, and in this article, we would be discussing lists and their methods. To know more about sys.argv command line argument in Python, click here.

Python 52

Python Programming Certification Accessibility 52