ProjectPro

JANUARY 15, 2021

And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course. Table of Contents What is a dataset in machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

Towards Data Science

MARCH 29, 2023

Turbo and GPT-4 to categorize datasets without the need for labeled data or model training, by prompting the model with data excerpts and category definitions. Oh, and I also recently got early access to GPT-4 and wanted to take it for a bit of a spin! ? … Is the Dataset in an Approved Category? Using GPT-3.5-Turbo

Datasets 62

Datasets Food Retail Hospitality 62

Netflix Tech

OCTOBER 16, 2019

By Ammar Khaku Introduction In a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. One example displaying the need for dataset propagation: at any given time Netflix runs a very large number of A/B tests.

Datasets 75

Datasets Metadata Bytes Machine Learning 75

Snowflake

APRIL 24, 2024

Members of the Snowflake AI Research team pioneered systems such as ZeRO and DeepSpeed , PagedAttention / vLLM , and LLM360 which significantly reduced the cost of LLM training and inference, and open sourced them to make LLMs more accessible and cost-effective for the community. license provides ungated access to weights and code.

Amazon Web Services 145

Amazon Web Services SQL AWS Architecture 145

ProjectPro

SEPTEMBER 27, 2021

The training dataset is ready and made available for you for most of these beginner-level object detection projects. You can use the flowers recognition dataset on Kaggle to build this model. The flowers recognition dataset consists of multiple pictures with different types of flowers. Make predictions on the test set.

Coding 52

Coding Project Datasets Retail 52

Knowledge Hut

FEBRUARY 29, 2024

Anaconda Navigator Anaconda Navigator is a UI Interface, as shown above, which allows you to access different tools like Jupyter Notebook, VS Code, and Spyder directly by clicking on the launching button. We are installing it for MacOSx, but you can also go for the same steps by downloading Anaconda Navigator for Windows.

Data Science 52

Data Science Project Datasets Python 52

Knowledge Hut

JANUARY 3, 2024

Importing And Cleaning Data This is an important step as a perfect and clean dataset is required for distinct and perfect data visualization. Pros And Cons Highest level of control for the rapid creation of charts Many graphs with fewer codes and higher resolution No pre-set defaults, and users have to define them each time.

Python 98

Python Programming Language Datasets R (Programming) 98

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

AUGUST 30, 2022

Top 5 Loan Prediction Datasets to Practice Loan Prediction Projects Univ.AI Top 5 Loan Prediction Datasets to Practice Loan Prediction Projects Univ.AI Let's look at some of these datasets. Top 5 Loan Prediction Datasets to Practice Loan Prediction Projects 1. Loan Prediction Dataset Based on Customer Behavior This Univ.AI

Machine Learning 52

Machine Learning Coding Project Datasets 52

ProjectPro

AUGUST 24, 2021

Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc. They are also often expected to prepare their dataset by web scraping with the help of various APIs. Machine Learning web service to host forecasting code.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

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. A trust policy that allows the EMR jobs to access other AWS services.

AWS 59

AWS Building Bytes Python 59

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. You can find the complete code to implement this scenario in the VDK GitHub repository. Please note that you need a free API key to download data from Europeana.

Data Process 75

Data Process Process Raw Data Data 75

ProjectPro

AUGUST 16, 2021

Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code. FAQs on Data Mining Projects 15 Top Data Mining Projects Ideas Data Mining involves understanding the given dataset thoroughly and concluding insightful inferences from it.

Data Mining 40

Data Mining Coding Project Datasets 40

Towards Data Science

JANUARY 7, 2024

Data profiling gives us statistics about different columns in our dataset. Table of contents Components of whylogs Environment setup Understanding the dataset Getting started with PySpark Data profiling with whylogs Data validation with whylogs Components of whylogs Let’s begin by understanding the important characteristics of whylogs.

Data Pipeline 77

Data Pipeline Hospitality Data Validation Datasets 77

Towards Data Science

JANUARY 26, 2023

In such cases one must consider the manner in which the files will be pulled to the application while taking into account: bandwidth capacity, network latency, and the application’s file access pattern. Direct Download from Amazon S3 In this post, we will assume that we are downloading files directly from Amazon S3.

Cloud Storage 72

Cloud Storage Big Data Cloud AWS 72

Cloudera

FEBRUARY 1, 2022

AMPs are developed by ML research engineers at Cloudera’s Fast Forward Labs , and as a result they are a great source for ML best practices and code snippets. If you do not have access to CDSW or CML, the AMP github repo has a README with instructions for getting up and running in any environment. Launch the AMP.

Deep Learning 109

Deep Learning Datasets Coding Machine Learning 109

ProjectPro

AUGUST 21, 2021

This project, although simple, is intended entirely towards understanding the various features available and configurable using the matplotlib library for a simple scatter plot, which is generally used to observe the relations between two attributes in the dataset. NOTE: The plots generated here are, however, Matplotlib objects.

Coding 52

Coding Project Datasets Machine Learning 52

Scott Logic

OCTOBER 18, 2023

To run JavaScript code, the runtime is compiled to WebAssembly, with your code running within the WebAssembly-hosted interpreter. The WebAssembly specification doesn’t define any host integration points, whether this is how you access the DOM, or exchange data with the host runtime (e.g.

Programming Language 145

Programming Language Coding Java Datasets 145

Rockset

JUNE 6, 2023

Real-time systems such as Elasticsearch were designed to work off of directly attached storage to allow for fast access in the face of real-time updates. This simplifies the system’s architecture and enables high bandwidth, low latency access to the data at query time. We can load larger datasets by just scaling the storage capacity.

Metadata 52

Metadata Datasets Architecture Algorithm 52

Marc Lamberti

NOVEMBER 23, 2022

It operates entirely in memory leading to out-of-memory errors if the dataset is too big. We are going to perform data analysis on the Stock Market dataset. This dataset contains CSV and JSON files for all NASDAQ, S&P500, and NYSE-listed companies. It’s a 10.22GB uncompressed dataset, and 1.0GB zip compressed.

Datasets 130

Datasets Python SQL Database 130

Towards Data Science

DECEMBER 23, 2023

We carefully select our catch, pulling data through the API and storing it in JSON format — a way of organizing our fish so that it’s easy to access and use later. You can download it from here. I’m using Visual Studio Code. This allows you to access the MinIO service using these ports on your local machine.

SQL 72

SQL Data Analytics Hadoop Raw Data 72

Workfall

JANUARY 17, 2024

Users can navigate between these pages by clicking on links, typically represented as page numbers or navigation buttons like “Next” and “Previous” This functionality is particularly useful when dealing with extensive datasets or articles, as it prevents overwhelming users with too much information on a single page.

Python 76

Python MySQL Coding Database 76

Towards Data Science

MARCH 6, 2023

The implementation The pipeline idea is simple, download the CSV files to the local machine, convert them into a Delta-Lake table stored in a GCS bucket, do the transformations needed over this delta table, and save the results in a Big Query Table that can be easily consumed by other downstream tasks. in CSV files (one per year).

Google Cloud 81

Google Cloud Cloud Storage Data Pipeline Cloud 81

ProjectPro

AUGUST 2, 2021

Upskill yourself for your dream job with industry-level big data projects with source code 2) Image Smoothing Image smoothing ameliorates the effect of high-frequency spatial noise from an image. You can try to replicate the results by using this Kaggle dataset ImageProcessing.

Coding 40

Coding Python Process Project 40

Knowledge Hut

APRIL 25, 2024

The IT departments no longer have exclusive access to information. The resources and expenses have been shown by a circular color-coded graph in the bottom right corner. In Reading view, you may post, embed, filter, export, and download as.pbix, look for related information, make QR codes, run Excel analysis, and more.

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

Cloudera

MARCH 29, 2021

Their flagship product, SQL Stream Builder, made access to real-time data streams easily possible with just SQL (Structured Query Language). They no longer have to depend on any skilled Java or Scala developers to write special programs to gain access to such data streams. . SQL Stream Builder continuously runs SQL via Flink.

SQL 113

SQL Scala Manufacturing Java 113

ProjectPro

FEBRUARY 8, 2023

When Glue receives a trigger, it collects the data, transforms it using code that Glue generates automatically, and then loads it into Amazon S3 or Amazon Redshift. You can produce code, discover the data schema, and modify it. For analyzing huge datasets, they want to employ familiar Python primitive types.

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

DECEMBER 26, 2023

Python provides frameworks/libraries like Scikit-learn, TensorFlow, PyTorch, Keras among others for building and validating ML or DL models in just 5-10 lines of code. Step 2: Practice with hands-on learning Hands-on coding is one of the most acceptable methods to advance your knowledge of Python.

Data Science 92

Data Science Python Programming Language Portfolio 92

Knowledge Hut

JANUARY 24, 2024

Data Sources Tableau Software can access many data sources and servers. Provides Great Security Data connections and user access feature a fail-safe security system based on authentication and authorization mechanisms. Users can access a range of resources for issue resolution and guidance.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Rockset

MARCH 1, 2023

OLTP databases aren’t built to ingest massive volumes of data streams and perform stream processing on incoming datasets. Rockset’s distributed SQL engine accesses data from the relevant RocksDB instance during query processing. So they are not suitable for real-time analytics.

Data Ingestion 144

Data Ingestion Database Architecture Cloud Storage 144

Rockset

APRIL 18, 2023

Just like how a git repo lets an engineering team use and modify the same pool of code, a feature repo lets people share and manage the same set of features. We showcase how to serve features in Rockset using the BETH Dataset , a cybersecurity dataset with 8M+ data points that was purpose-built for anomaly detection training.

Machine Learning 52

Machine Learning Datasets Database Data Pipeline 52

Cloudera

NOVEMBER 30, 2022

Git link for the example code : [link]. var dataSet = List(Row(1, "1", 1), Row(2, "2", 2)). dataSet = dataSet :+ Row(w, "foo", w); }. var rowRDD = spark.sparkContext.parallelize(dataSet). dataSet = List(Row(501, "500", 500), Row(502, "502", 502)). rowRDD = spark.sparkContext.parallelize(dataSet).

Database 81

Database Datasets NoSQL Big Data 81

ProjectPro

OCTOBER 8, 2021

You can start by downloading the Online Retail Dataset. Perform exploratory data analysis of the dataset to understand the various attributes in the dataset better. You can also use matplotlib to plot the dataset and visualize it. This helps us find the optimal number of potential customer segments in the dataset.

Retail 52

Retail Machine Learning Project Datasets 52

Rockset

MARCH 28, 2024

[Building such a recommendation system] ( [link] ) that deals efficiently with high-dimensional data to find accurate, relevant, and similar items in a large dataset requires effective and efficient vectorization, vector indexing, vector search, and retrieval which in turn demands robust databases with optimal vector capabilities.

Systems 52

Systems Building Database Utilities 52

Knowledge Hut

JANUARY 18, 2024

The PowerBI Site or service, PowerBI.com , is widely used to share reports, datasets, and dashboards. You might face trouble in connecting and importing large datasets, as well as problems such as slow performance and time-outs. Apart from these, Power BI allows various other tools which will be very advantageous for you.

BI 52

BI Data Cleanse Business Intelligence Datasets 52

Ascend.io

MARCH 17, 2023

Data teams need a new technology that will empower them to focus on business value rather than fixing code holding together a patchwork of point solutions. Technology needs to be accessible to a much broader user base. Changes and fixes need to happen in minutes, not days. Pipelines need to grow faster than the cost to run them.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Ascend.io

MARCH 17, 2023

Data teams need a new technology that will empower them to focus on business value rather than fixing code holding together a patchwork of point solutions. Technology needs to be accessible to a much broader user base. Changes and fixes need to happen in minutes, not days. Pipelines need to grow faster than the cost to run them.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52