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

ProjectPro

APRIL 19, 2021

Collecting data in the real world is not as easy as downloading a dataset from Kaggle. A data analyst collates all the data in one place and works with developers to create an ETL pipeline for the same by setting up business rules to transform the data on it should look once it is loaded into the system.

Portfolio 40

Portfolio Data Finance Certification 40

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

SEPTEMBER 6, 2021

Project Idea: You can build a system that collects the prices of a product from different eCommerce websites and prepares a list of them. For scraping data, you can download ParseHub , which is a free web scraper available online. That helps portfolio managers to be sure of the investments in a company of their interest.

Project 52

Project Programming Language Entertainment Python 52

ProjectPro

DECEMBER 7, 2021

A data pipeline automates the movement and transformation of data between a source system and a target repository by using various data-related tools and processes. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

DECEMBER 7, 2021

Your data analyst portfolio is an opportunity to demonstrate your ability to tell a story, which is a crucial data analyst skill. Nothing beats facts when it comes to conveying the power of a tale, and your data analyst portfolio is your chance to illustrate how your story may connect with that of the organization you're applying to.

Portfolio 52

Portfolio Building Data Mining Data Analysis 52

ProjectPro

MAY 26, 2021

Build a Project Portfolio and Find your Dream Machine Learning Job With Us! 5) Handling Outliers Outliers are unusually high or low values in the dataset which are unlikely to occur in normal scenarios. Build a Job-Winning Data Science Portfolio.

Machine Learning 40

Machine Learning Engineering Data Science Portfolio 40

Knowledge Hut

DECEMBER 26, 2023

Projects will challenge you, teach you new Python ideas, and assist you in developing a portfolio to demonstrate your skills to future employers. Step 4: Build a Data Science Portfolio as you Learn Python A portfolio is a must for aspirant data scientists because it's one of the critical qualities hiring managers look for in a prospect.

Data Science 92

Data Science Python Programming Language Portfolio 92

Precisely

OCTOBER 5, 2023

Data enrichment is the process of combining first-party data from internal sources with third-party data from external sources or data from other internal systems. sample datasets: are data samples available for download and evaluation? What is Data Enrichment ? And data enrichment is what helps make those decisions possible.

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

ProjectPro

SEPTEMBER 27, 2021

Object detection systems are being used in a wide range of industries. They are being employed in surveillance cameras, self-driving cars, and image inspection systems. There is huge opportunity for growth and employment if you are able to build, deploy, and scale object detection systems.

Coding 52

Coding Project Datasets Retail 52

ProjectPro

JULY 28, 2021

Google Maps, for instance, is extensively used and has more than 5 Billion downloads. Google uses a levelling system to decide the compensation of the Data Scientists and the promotions of its employees. Data Science is at the heart of Google’s business model.

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

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. The Yelp dataset, which is used for academic and research purposes, is processed here.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

FEBRUARY 22, 2022

You can use these SQL projects for data analysis and add them to your data analyst portfolio. Data Analysts use SQL to build an inventory management system to help business owners make critical decisions related to inventory planning. Dataset: As an example, you can use this Walmart Dataset on Kaggle.

Data Analysis 52

Data Analysis SQL Project Banking 52

ProjectPro

OCTOBER 27, 2021

The huge volumes of financial data have helped the finance industry streamline processes, reduce investment risks, and optimize investment portfolios for clients and companies. Also, remove all missing and NaN values from the dataset, as incomplete data is unnecessary. You can download the Brazilian Public Dataset to get started.

Finance 52

Finance Machine Learning Project Banking 52

Cloudera

OCTOBER 26, 2020

Dell/EMC through their PowerScale and ECS product portfolio have been long time advocates of hybrid solutions. Observance of the CDP interface classification system. Share query, chart results and download for any database. Easily search, glance, import datasets or jobs. Validation includes: Overall architecture.

Certification 87

Certification Cloud Kafka Unstructured Data 87

ProjectPro

JANUARY 24, 2023

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects Let us now explore the SageMaker architecture to understand what makes Amazon SageMaker unique and popular among the masses. Analyze – Data Wrangler allows you to analyze the features in your dataset at any stage of the data preparation process.

Building 52

Building Algorithm Machine Learning AWS 52

ProjectPro

FEBRUARY 18, 2022

Data from multiple systems (CRMs, social media platforms , Web reporting, etc.) Supports data migration to a data warehouse from existing systems, etc. The Yelp dataset consists of information on Yelp's companies, user reviews, and other information that has been made freely available for personal, educational, and scholarly use.

Project 52

Project AWS Kafka Healthcare 52

ProjectPro

AUGUST 5, 2021

Say , if you are intrigued by facial recognition systems and image generation, you can choose to work in the field of computer vision. Object Detection System 6. You can use the Resume Dataset available on Kaggle to build this model. Dataset: Kaggle Resume Dataset 2. Resume Parser 2. Fake News Detector 3.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

SEPTEMBER 16, 2021

Metadata Store : Metadata for more significant and evolving datasets can be housed in metadata stores Model Registry : Logging models are done in the model registry; this setup helps reflect on multiple iterations. It is a decent dataset to query with multiple nuances that can be analyzed.

Project 52

Project Amazon Web Services Machine Learning Data Science 52

U-Next

SEPTEMBER 19, 2022

You may rapidly search for critical insights and datasets inside your data using the Quick Insights option. You can link to data files on your Excel files, local system, Facebook, Azure SQL Database, Power BI datasets, Google Analytics, and more. Power BI: BI datasets and dataflows. Below are some most used data sources.

BI 40

BI Business Intelligence Datasets Retail 40

ProjectPro

AUGUST 2, 2021

You can try to replicate the results by using this Kaggle dataset ImageProcessing. You can use this dataset: Tamil Neural Style Transfer Dataset for this image processing project.) The prevalence of OCR systems is only rising as the world becomes increasingly digitized. cat, dog, and panda classifier dataset.

Coding 40

Coding Python Process Project 40

ProjectPro

OCTOBER 8, 2021

Dataset The dataset is used to create visualizations. Report Reports are a collection of visualizations that show different insights of the dataset from a different perspective. Tiles A tile is typically a snapshot of the dataset or visualization, or report. How will you accomplish this task? What is Power Pivot?

BI 52

BI Datasets Certification SQL 52

ProjectPro

JUNE 24, 2021

10+ Real-Time Azure Project Ideas for Beginners to Practice Access Job Recommendation System Project with Source Code Why Should Students Work on Big Data Analytics Projects ? It helps to build a job-winning data analytics portfolio and sets you apart from other candidates while applying for a job.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

APRIL 6, 2021

That is because your cognition and the visual system can generalize well. This field was again popularised by the Imagenet Challenge- Imagenet is a huge database of labeled images, the dataset has now over a million images with thousands of labels. A lot of time passed after that.

Deep Learning 40

Deep Learning Python Medical Datasets 40

ProjectPro

AUGUST 11, 2021

According to Wikipedia , a Data Warehouse is defined as "a system used for reporting and data analysis. The data to be collected may be structured, unstructured or semi-structured and has to be obtained from corporate or legacy databases or maybe even from information systems external to the business but still considered relevant.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

AUGUST 31, 2018

Adaptable pricing system When opposed to AWS, the pricing structure is less adaptable. AWS vs. Azure: Salary Burning Glass is a website that has performed research over the US jobs postings dataset. They contain beginner-friendly solution videos and also downloadable source code files for your convenience.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

ProjectPro

AUGUST 18, 2021

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects Basic Tableau Interview Questions 1. Tableau supports data extraction from simple data storage systems such as MS Excel or MS Access and intricate database systems like Oracle. Developers can run Tableau on Windows and Mac operating systems.

BI 40

BI Database-centric SQL Software Engineer 40

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig. Stock Code: This refers to the product ID.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

JUNE 29, 2021

Apache Kafka and Flume are distributed data systems, but there is a certain difference between Kafka and Flume in terms of features, scalability, etc. Once you download the latest version of Apache Kafka, remember to extract it. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects.

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

JULY 7, 2021

Digit Recognition System 4. Automated Attendance System 8. Object Detection System 13. Recommender System 14. The most popular advancements in machine learning are applications of deep learning — self-driving cars, facial recognition systems, and object detection systems. Covid-19 Detection in Lungs 3.

Deep Learning 40

Deep Learning Project Portfolio Datasets 40

ProjectPro

AUGUST 21, 2015

Data that can be stored in traditional database systems in the form of rows and columns, for example, the online purchase transactions can be referred to as Structured Data. Data that can be stored only partially in traditional database systems, for example, data in XML records can be referred to as semi-structured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 4, 2015

The holistic view of Hadoop architecture gives prominence to Hadoop common, Hadoop YARN, Hadoop Distributed File Systems (HDFS ) and Hadoop MapReduce of the Hadoop Ecosystem. 2) Hadoop Distributed File System (HDFS) - The default big data storage layer for Apache Hadoop is HDFS.

Hadoop 52

Hadoop Architecture IT Java 52