Cloudyard

JULY 3, 2023

For below scenario, I used both Source and Target on same AWS Snowflake account with two different datasets. Configure 1: Install Snowflake ODBC driver on machine: Down load and Install the ODBC driver setup(64 bit) from the downloads available on snowflake console. ODBC setup Note: Please create this DSN inside the system DSN.

AWS 52

AWS Datasets Cloud Database 52

ProjectPro

JANUARY 24, 2023

In this project, you should first download the famous Iris Dataset and implement Exploratory Data Analysis techniques over it. In this project, we suggest you build your own dataset by clicking the images of your family members. Most beginners in Data Science and Machine learning have worked on this dataset.

Project 52

Project Datasets Algorithm Data Science 52

Edureka

APRIL 17, 2023

Prerequisites Before installing DAX Studio, ensure that your computer meets the following prerequisites: Windows 7 or later operating system (64-bit) Power BI Desktop installed (version 2.70 Click on the Download button on the home page. Click on the Download button on the home page. NET Framework 4.7.2

BI 40

BI Raw Data Datasets Data Analysis 40

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 106

Datasets Machine Learning Data Data Science 106

ProjectPro

FEBRUARY 28, 2022

So, if a driver is feeling drowsy and is about to faint, the ride-hailing service can deploy a system to raise the alarm after reading their facial expressions. Convolutional Neural Network: The convolution operation allows us to save on computation while working with images without compromising on the system’s accuracy.

Coding 52

Coding Project Deep Learning Datasets 52

Precisely

FEBRUARY 23, 2024

Top performers are much more likely to use technology systems to validate addresses and other geographic data points. Only 26% regard this tactic to be highly effective, whereas more than 40% indicate a strong preference for automated systems and scalable data validation tools.

Insurance 64

Insurance Data Validation Government High Quality Data 64

Precisely

MARCH 7, 2024

By harnessing the power of machine learning and natural language processing, sophisticated systems can analyze and prioritize claims with unprecedented efficiency and timeliness. By proactively enriching internal datasets with demographic and location-based data, insurers can multiply the effectiveness of their AI/ML investments.

Insurance 72

Insurance Process Medical Data Governance 72

Knowledge Hut

OCTOBER 29, 2023

Build Cardiovascular disease early detection system As the name suggests, this project is a simple one to get started with Azure Cognitive Services. Refer to the architecture diagram below: For the scope of this project, we will consider a simple dataset and use the Azure Anomaly Detector API to detect any outliers present in it.

Project 52

Project Hospitality Food Datasets 52

Netflix Tech

NOVEMBER 11, 2022

These services allow users to stream or download content across a broad category of devices including mobile phones, laptops, and televisions. However, some restrictions are in place, such as the number of active devices, the number of streams, and the number of downloaded titles.

Machine Learning 124

Machine Learning Digital Media Datasets Media 124

Cloudera

NOVEMBER 30, 2022

OMID enables big data applications to benefit from the best of both worlds: the scalability provided by NoSQL datastores such as HBase, and the concurrency and atomicity provided by transaction processing systems. var dataSet = List(Row(1, "1", 1), Row(2, "2", 2)). dataSet = dataSet :+ Row(w, "foo", w); }.

Database 82

Database Datasets NoSQL Big Data 82

Knowledge Hut

NOVEMBER 28, 2023

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. In this article, we will look at 31 different places to find free datasets for data science projects. What is a Data Science Dataset?

Datasets 96

Datasets Data Science Project Banking 96

Workfall

SEPTEMBER 18, 2023

Whether you need to integrate data from databases, APIs, cloud services, or other systems, Airbyte provides the tools to make it easier and more efficient. Multilingual Data Translator: Airbyte is like a linguistic prodigy fluent in the tongues of various data systems. Download Docker Desktop from here as a prerequisite.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Knowledge Hut

MARCH 29, 2024

Demonstrated proficiency in utilizing a wide array of sales and marketing technologies, including marketing automation platforms, CRM systems, social media management tools, and analytics platforms. Demonstrated track record of driving pipeline growth and revenue through the implementation of integrated campaigns. Click here for the template.

Management 52

Management Education Certification Media 52

ProjectPro

FEBRUARY 6, 2023

With over 10 million active subscriptions, 50 million active topics, and a trillion messages processed per day, Google Cloud Pub/Sub makes it easy to build and manage complex event-driven systems. You can build systems of event producers and consumers, known as publishers and subscribers, with the help of Pub/Sub.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Knowledge Hut

MARCH 27, 2024

Over the last few decades, machine learning has fundamentally altered how systems function and decisions are made. It also contains an extensive collection of data-on-data formatting techniques, slicing, and system and local variable information. You can download the machine learning cheat sheet pdf from the link.

Machine Learning 52

Machine Learning Deep Learning Algorithm Certification 52

ProjectPro

OCTOBER 28, 2021

Machine Learning is receiving so much traction because it reveals insightful facts from a given dataset that would not have been gained access to by using other tools. It simplifies complex problems by making probabilistic predictions for specific parameters in the dataset. You can verify this by looking at the skills mentioned below.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

Rockset

MARCH 17, 2022

In some systems, once the time window has passed, the rollups become read-only. Other systems create new tables for late arriving data. If you're not using a mutable analytical database, you'll probably batch download the whole transactional database into your analytical database once a day.

Database 52

Database IT PostgreSQL MongoDB 52

AltexSoft

MAY 12, 2022

The approach finds application in security systems for user authentication. Systems like Audio Analytic ‘listen’ to the events inside and outside your car, enabling the vehicle to make adjustments in order to increase a driver’s safety. Audio datasets are, on the contrary, created with particular machine learning tasks in mind.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

ProjectPro

JUNE 26, 2021

Must be able to draw insightful conclusions from the dataset and present them in an organized manner. Computer Vision Project Idea -1 Cartoonize an Image We all would have at least once downloaded an app that has creative filters and can transform our ordinary images into something more artsy and beautiful. Good communication skills.

Project 40

Project Deep Learning Datasets Medical 40

Knowledge Hut

OCTOBER 26, 2023

Content Recommendation System You can build a content recommendation system using Amazon SageMaker, a machine learning service offered by AWS. Most streaming platforms, including Netflix and Amazon Prime Video, already utilize content recommendation systems. This dataset can be downloaded in two formats: Parquet and TAV.

AWS 52

AWS Coding Project Cloud Computing 52

ProjectPro

OCTOBER 18, 2021

Recommender System Projects Have you ever seen movies or web series on online streaming platforms? Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. for developing these kinds of projects. Let the FOMO kick in!

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

OCTOBER 11, 2023

Microsoft Power BI gives you total control over the flow of important business data into and out of your system and offers transparency for timely, data-driven decision-making. This entails figuring out what the company's needs are, creating system designs, and working with developers to put ideas into practice.

BI 52

BI Certification Business Intelligence Consulting 52

Knowledge Hut

OCTOBER 29, 2023

Hospital Management System Type : Application development, Database management, Programming There is no shortage of computer science project topics out there. But if you are looking for something that's both technically challenging and socially relevant, consider a hospital management system. Source Code: News Feed App 4.

Computer Science 111

Computer Science Coding Project Hospitality 111

ProjectPro

AUGUST 16, 2021

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. Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset.

Data Mining 40

Data Mining Coding Project Datasets 40

Knowledge Hut

DECEMBER 21, 2023

Some of the responsibilities of machine learning engineers are as follows: The primary task of machine learning engineers is to design and develop the models of ML systems. They have to choose the most appropriate datasets for analysis before proceeding with the modeling. Download Machine Learning Engineer resume template here!

Machine Learning 52

Machine Learning Engineering Computer Science Portfolio 52

Knowledge Hut

MARCH 22, 2024

MongoDB is the fourth most popular Database Management System (DBMS). Rising Demand: Recent industry reports state that the adoption of MongoDB has been increasing, and the database has attracted over 40 million download users from thousands of organizations. Integrating MongoDB with front-end and backend systems.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

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

Cloudera

JANUARY 31, 2024

Replication is a crucial capability in distributed systems to address challenges related to fault tolerance, high availability, load balancing, scalability, data locality, network efficiency, and data durability. To get hands on with SRM, download Cloudera Stream Processing Community edition here. Interested in joining Cloudera?

Management 70

Management Kafka Big Data Cloud 70

Rockset

APRIL 18, 2023

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. We use the following code to generate the embeddings: import gzip import json import openai # Download the following file from [link] product_data_full = [] for line in gzip.open('./amazon_metadata/meta_Video_Games.json.gz',

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

ProjectPro

DECEMBER 21, 2021

To develop machine learning systems, you can easily leverage NumPy, Pandas, Matplotlib, and Scikit-learn. The Rossmann Stores dataset is one of the most popular datasets used by Data Science beginners. You can use the dataset and the linear regression machine-learning algorithm to forecast retail sales in this project.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Monte Carlo

DECEMBER 19, 2022

Data quality testing is the process of validating that key characteristics of a dataset match what is anticipated prior to its consumption. Download our Data Quality Testing 101 eBook So, what is data quality testing anyway? Like all software and data applications, ETL/ELT systems are prone to failure from time-to-time.

High Quality Data 52

High Quality Data Data Bytes SQL 52

Rockset

JUNE 17, 2021

Support tickets, sales transactions and marketing interactions are stored in operational databases which serve as a system of record. Third-party datasets enrich the customer profile. Learn how to build data stacks for real-time analytics by downloading the 7 Reference Architectures for Real-Time Analytics.

Data Lake 40

Data Lake Architecture Data Preparation Database 40

ProjectPro

AUGUST 13, 2021

Classification System 4. COVID-19 Dataset Analysis and Prediction 5. Is there any other site like GitHub to download machine learning projects and the instructions for setting it up? You can use the Walmart dataset and use Python to predict sales of their stores. Predictive Analytics 2. Building a ChatBot 3.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

JULY 23, 2021

Content Recommendation System 10. Blood Bank Management System 16. Hybrid Recommendation System 21. AWS has exceptional flexibility to select the desired operating system, database, and other services. You can retrieve the required content and can format and convert the content to download or display on the webpage.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Cloudera

JUNE 7, 2021

For so long we’ve been told that batch and streaming (bounded and unbounded systems) were orthogonal technologies – a reference architecture where streams feed lakes and nothing more. For example, here we are enriching a stream of data that measures testing status for manufacturing systems. Writing to batch systems.

SQL 63

SQL Manufacturing Finance Architecture 63

ProjectPro

DECEMBER 9, 2021

For true labels, the Discriminator model uses the raw input images from the MNIST dataset. We recommend using Anime Face Dataset. You can use the CelebFaces Attributes (CelebA) Dataset for training the model. The unsupervised mode allows the model to learn the hidden features of the images from the unlabelled dataset.

Project 52

Project Medical Datasets Deep Learning 52

ProjectPro

JULY 26, 2021

TensorFlow is equipped with features, like state-of-the-art pre-trained models, p opular machine learning datasets , and increased ease of execution for mathematical computations, making it popular among seasoned researchers and students alike. Recommender Systems (Tweet Ranking) using TensorFlow 2. Sudoku Solver using TensorFlow 4.

Project 40

Project Deep Learning Medical Datasets 40