Christophe Blefari

JULY 15, 2023

Yesterday I found a way to get sensor data of half of the Tour de France peloton, I was sure it was a good dataset to explore new tools with. And it's honestly a great dataset but it's a bit hard to download and format all the data for exploration. There is a part two with live Python examples.

Datasets 130

Datasets Python Machine Learning Data 130

Knowledge Hut

JUNE 25, 2024

Python could be a high-level, useful programming language that allows faster work. Python was designed by Dutch computer programmer Guido van Rossum in the late 1980s. For those interested in studying this programming language, several best books for python data science are accessible. out of 5 on the Goodreads website.

Data Science 97

Data Science Python Hadoop Machine Learning 97

ProjectPro

FEBRUARY 16, 2023

Whether you’re looking to track objects in a video stream, build a face recognition system, or edit images creatively, OpenCV Python implementation is the go-to choice for the job. One library in Python is particularly famous for backing such computer vision applications and goes by the name- OpenCV. What is OpenCV Python?

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Python Process Deep Learning Algorithm 98

Marc Lamberti

NOVEMBER 23, 2022

It operates entirely in memory leading to out-of-memory errors if the dataset is too big. Finally, DuckDB has a Python Client and shines when mixed with Arrow and Parquet. DuckDB with Python Time to practice! We are going to perform data analysis on the Stock Market dataset. That’s not the case with Pandas.

Datasets 130

Datasets Python SQL Database 130

Cloudera

MAY 19, 2021

For more information see: < [link] > The RAPIDS libraries are designed as drop-in replacements for common Python data science libraries like pandas (cuDF), numpy (cuPy), sklearn (cuML) and dask (dask_cuda). Get the Dataset. The dataset can be downloaded from: [link]. See < [link] > for more details.

Machine Learning 137

Machine Learning Data Science Datasets Raw Data 137

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

Knowledge Hut

MAY 29, 2024

The choice of datasets is crucial for creating impactful visualizations. The dataset selection depends on goals, context, and domain, with considerations for data quality, relevance, and ethics. In this article, we will discuss the best datasets for data visualization. Census Bureau The U.S.

Datasets 52

Datasets Transportation Entertainment Media 52

Towards Data Science

JANUARY 27, 2025

Project explanation The dataset for this project was reading data from my personal Goodreads account; it can be downloaded from my GitHub repo. If you use Goodreads, you can export your own data in CSV format, substitute it for the dataset provided, and explore it with the code for this tutorial. build(model).run()

Building 53

Building Datasets Coding Data 53

Workfall

JANUARY 17, 2024

We will do a step-by-step implementation with FastAPI, a top-notch Python tool, which helps organize info better. FastAPI is a modern, high-performance web framework for building APIs with Python based on standard type hints. Following that, we’ll establish a connection to our MySQL database using Python code.

Python 76

Python MySQL Database Coding 76

Tweag

SEPTEMBER 23, 2024

The Python programming language, and its huge ecosystem (there are more than 500,000 projects hosted on the main Python repository, PyPI ), is used both for software engineering and scientific research. In fact, the Python ecosystem and community is notorious for the countless ways it uses to declare dependencies.

Python 57

Python Project Metadata Datasets 57

Towards Data Science

JANUARY 26, 2023

We will consider several options for ingesting the file contents in Python and measure how they perform in different application use cases. Direct Download from Amazon S3 In this post, we will assume that we are downloading files directly from Amazon S3. There a number of methods for downloading a file to a local disk.

Cloud Storage 98

Cloud Storage Big Data Cloud AWS 98

Snowflake

SEPTEMBER 5, 2023

Snowflake lets you apply near-magical generative AI transformations to your data all in Python, with the protection of its out-of-the-box governance and security features. Snowpark ML unifies data pre-processing, feature engineering, model training, and model management and integrated deployment into a single, easy-to-use Python toolkit.

Medical 134

Medical Python Government Datasets 134

DataKitchen

APRIL 18, 2025

Meanwhile, new projects are spun rapidly, and datasets are reused for purposes far removed from their original intent. TestGen is open-source software that runs a series of tests on your data without requiring you to write a single line of YAML, SQL, or Python. So heres my advice: Download TestGen. Refine your rules over time.

Data 46

Data Datasets Machine Learning Data Science 46

Towards Data Science

OCTOBER 21, 2023

Well, PyrOSM is build on Cython (C Python) and it uses faster libraries for deserializing OSM data as well as smaller optimizations like numpy arrays which allows it to process data fast. In fact, if you wanted, you could download the entirety of Open Street Maps data into one file, known as Planet (around 1000 Gb of data)! ?‍?

Datasets 98

Datasets Data Data Science Python 98

Knowledge Hut

FEBRUARY 29, 2024

Steps to Learn and Master Data Science Learning a Language – Python Choosing and learning a new programming language is not an easy thing, in terms of learning data science, Python comes out first. Python is a high-level, interpreted, general-purpose, object-oriented programming language.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Towards Data Science

FEBRUARY 19, 2024

However, the full dataset is about 40GB, and trying to handle that much data on my little laptop, or even in a Colab notebook was a bit much, so I had to figure out a pipeline that could manage filtering and embedding a larger data set. The previous version used only about 3.5k First we pull out the relevant columns from the raw data file.

AWS 90

AWS Building Python Bytes 90

Towards Data Science

NOVEMBER 16, 2023

Splittable in chunks : instead of processing an entire dataset in a single, resource-intensive operation, batch data can be divided into smaller, more manageable segments. This operation is a batch process because it downloads data only once and does not require streamlining. We’ll store the extracted data in a table.

Data Process 98

Data Process Process Raw Data Data 98

Knowledge Hut

OCTOBER 27, 2023

Apart from reading the literature, the great way to maximize your experience is to on data science projects with python , R, and other tools. On an unclean and disorganised dataset, it is impossible to build an effective and solid model. Reddit datasets. Know more about measures of dispersion. Websites you can check: Data.world.

Data Science 96

Data Science Coding Project Datasets 96

Towards Data Science

MARCH 6, 2023

It’s possible to go from simple ETL pipelines built with python to move data between two databases to very complex structures, using Kafka to stream real-time messages between all sorts of cloud structures to serve multiple end applications. Create a new dataset in Google Big Query named censo-ensino-superior 5. data/ mkdir -p./src/credentials

Google Cloud 98

Google Cloud Cloud Storage Data Pipeline Cloud 98

Christophe Blefari

SEPTEMBER 13, 2024

Building a cost-effective analytics stack with Modal, dlt, and dbt — A great example of how you can built a small analytics stack in today's world with dlt, dbt and Modal, a serverless platform to run Python stuff. It avoids the need to repeatedly download the data.

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Pipeline-centric Data Python Data Science 100

Towards Data Science

AUGUST 29, 2023

Today, we will delve into the intricacies the problem of missing data , discover the different types of missing data we may find in the wild, and explore how we can identify and mark missing values in real-world datasets. For that matter, we’ll take a look at the adolescent tobacco study example , used in the paper. Image by Author.

Datasets 117

Datasets Machine Learning Data Data Science 117

U-Next

AUGUST 16, 2022

Introduction: About Deep Learning Python. Python has progressively risen to become the sixth most popular programming language in the 2020s from its founding in February 1991. What Is Deep Learning Python? Python is incredibly simple to use and understand compared to other computer languages.

Deep Learning 52

Deep Learning Python Programming Language Machine Learning 52

ProjectPro

FEBRUARY 5, 2021

Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. Table of Contents What is the MNIST dataset? Test the Trained Neural Network Visualizing the Test Results Ending Notes What is the MNIST dataset?

Datasets 40

Datasets Deep Learning Medical Algorithm 40

ProjectPro

JUNE 7, 2021

So let's kickstart the learning journey with a hands-on python chatbot projects that will teach you step by step on how to build a chatbot in Python from scratch. Table of Contents How to build a Python Chatbot from Scratch? Did you recently try to ask Google Assistant (GA) what’s up? Well, I did, and here is what GA said.

Python 52

Python Project Building Algorithm 52

Towards Data Science

APRIL 6, 2023

Create Python or Spark processing jobs using the visual interface, code editor, or Jupyter notebooks. It’s a tool to develop, organize, order, schedule, and monitor tasks using a structure called DAG — Direct Acyclic Graph, defined with Python code. Because of this, these applications are meant to be small and stateless.

Data Pipeline 98

Data Pipeline AWS Amazon Web Services Python 98

Scott Logic

OCTOBER 18, 2023

There is also a strong preference for Go and Python - which is something I wasn’t expecting. If you want to explore the data, feel free to download the dataset , please do attribute if you reproduce or use this data.

Programming Language 145

Programming Language Coding Java Programming 145

AltexSoft

MAY 12, 2022

For further steps, you need to load your dataset to Python or switch to a platform specifically focusing on analysis and/or machine learning. Librosa is an open-source Python library that has almost everything you need for audio and music analysis. Commercial datasets. Expert datasets. Source: Towards Data Science.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Cloudera

APRIL 15, 2022

“As the availability and volume of Earth data grow, researchers spend more time downloading and processing their data than doing science,” according to the NCSS website. RES leverages Cloudera for backend analytics of their climate research data, allowing researchers to derive insights from the climate data stored and processed by RES.

Big Data 82

Big Data Big Data Tools Banking Finance 82

Knowledge Hut

JANUARY 12, 2024

The main agenda is to remove the redundant and dependent features by changing the dataset onto a lower-dimensional space. variables) in a particular dataset while retaining most of the data. They make predictions based upon the probability that a new input dataset belongs to each class.

Machine Learning 97

Machine Learning Datasets Medical Algorithm 97

Knowledge Hut

FEBRUARY 7, 2023

With this article, we shall tap into the understanding of spatial data and geospatial data analysis with Python through some examples and how to perform operations from spatial statistics Python libraries. This can be learned in the Data Science online courses. What is Geospatial Data? 

Python 52

Python Data Science Data Analysis Datasets 52

ProjectPro

FEBRUARY 8, 2023

Scale Existing Python Code with Ray Python is popular among data scientists and developers because it is user-friendly and offers extensive built-in data processing libraries. For analyzing huge datasets, they want to employ familiar Python primitive types. CSV files), in this case, a CSV file in an S3 bucket.

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AWS Scala Metadata Data Lake 98

ProjectPro

JUNE 18, 2021

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? Which has a better future: Python or Java in 2021? This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021.

Java 52

Java Data Science Python Programming Language 52

DataKitchen

APRIL 13, 2021

Download the 2021 DataOps Vendor Landscape here. Soda doesn’t just monitor datasets and send meaningful alerts to the relevant teams. Studio.ML — A model management framework written in Python to help simplify and expedite your model-building experience. DataOps is a hot topic in 2021. CD Foundation SIG on MLOps .

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Confluent

JULY 16, 2019

Assuming a setup has been arranged where the images to be analyzed for potential burglars are constantly uploaded onto a file server, we can reuse the same server to download the images into Kafka. Since the advent of functional languages on the JVM, Erik-Berndt has worked on big and fast data technologies using Python, Java, and Scala.

Machine Learning 101

Machine Learning Kafka Java Datasets 101

ProjectPro

JANUARY 24, 2023

Top 5 Pattern Recognition Project Ideas in Python Here are five pattern recognition projects for beginners. In this project, you should first download the famous Iris Dataset and implement Exploratory Data Analysis techniques over it. Most beginners in Data Science and Machine learning have worked on this dataset.

Project 52

Project Datasets Data Science Algorithm 52

Knowledge Hut

DECEMBER 22, 2023

Python R SQL Java Julia Scala C/C++ JavaScript Swift Go MATLAB SAS Data Manipulation and Analysis: Develop skills in data wrangling, data cleaning, and data preprocessing. Learn how to work with big data technologies to process and analyze large datasets. Additionally, confirm that the dataset you are utilizing is error-free.

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Portfolio Data Science Programming Language Scala 98

ProjectPro

FEBRUARY 28, 2022

One can easily build a facial emotion recognition project in Python. This article will discuss the source code of a Facial Expression Recognition Project in Python. Before we jump on to the code, allow us to give you a fair idea of the dataset. The test dataset has 28,709 samples, and the training dataset has 3,589 samples.

Coding 52

Coding Project Deep Learning Datasets 52