ProjectPro

MARCH 5, 2021

The invisible pieces of code that form the gears and cogs of the modern machine age, algorithms have given the world everything from social media feeds to search engines and satellite navigation to music recommendation systems. Recommender Systems – An Introduction Data collection is ubiquitous now.

Algorithm 40

Algorithm Systems Python Datasets 40

Pinterest Engineering

SEPTEMBER 20, 2023

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. Body image and representation in the media, online and offline, has been a part of the cultural dialogue for decades.

Building 85

Building Pipeline-centric Machine Learning Datasets 85

Knowledge Hut

JUNE 26, 2023

For this study, we wanted to create a "big data pipeline for user sentiment analysis on the US stock market." In a nutshell, this initiative uses social media data to provide real-time market sentiment predictions. However, the abundance of data opens numerous possibilities for research and analysis.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

MAY 31, 2023

Artificial intelligence has had a profound impact on our daily lives, and we employ AI whenever you look through social media, open Spotify, or conduct a fast Google search. Currently, most students and working professionals prefer a Data Science Course to make a smooth transition in the data science field.

Project 96

Project Healthcare Deep Learning Transportation 96

Edureka

SEPTEMBER 11, 2023

By employing algorithms that pick up on the subtleties of the input or training data they are given, generative AI certainly provides a multifaceted approach to data generation. It accomplishes this through complex algorithms and neural network architectures, and it has vast potential across many fields.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

Knowledge Hut

JULY 26, 2023

Consider exploring relevant Big Data Certification to deepen your knowledge and skills. What is Big Data? Big Data is the term used to describe extraordinarily massive and complicated datasets that are difficult to manage, handle, or analyze using conventional data processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

MARCH 19, 2024

From website hosting to running complicated machine learning algorithms, AWS provides a lot of applications that allow businesses to innovate, scale, and digitally transform. It also keeps backups, media files, log data, and static website content. You can enroll in an Am azon AWS course to learn more about AWS.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

JANUARY 18, 2024

These streams basically consist of algorithms that seek to make either predictions or classifications by creating expert systems that are based on the input data. Even Email spam filters that we enable or use in our mailboxes are examples of weak AI where an algorithm is used to classify spam emails and move them to other folders.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This is one of the major reasons behind the popularity of data science. An exploratory study of the given data set.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JANUARY 11, 2024

In this discussion, I will present some case studies to you that contain detailed and systematic data analysis of people, objects, or entities focusing on multiple factors present in the dataset. These companies can use recommendation engines with data science to achieve higher personalization and improved user interactions.

Data Science 98

Data Science Transportation Hospitality Banking 98

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. Possible Careers: Data analyst Marketing analyst Data mining analyst Data engineer Quantitative analyst 3.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

FEBRUARY 28, 2024

To analyze big data, we require sophisticated software and dedicated databases. It involves extracting valuable insights from these massive datasets to gain a competitive advantage. Once we manage to harness it correctly, the future of big data is undeniable. And AI-powered algorithms are the best at this.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

AltexSoft

SEPTEMBER 19, 2023

Loyalty program data can also be part of CRM records, including information on membership tiers or rewards earned. External travel data sources and providers External data encompasses all types of information and datasets created outside a company and existing beyond its direct control, ownership, or management.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Knowledge Hut

JUNE 28, 2023

In our data-driven world, our lives are governed by big data. The TV shows we watch, the social media we follow, the news we read, and even the optimized routes we take to work are all influenced by the power of big data analytics. Process of analyzing, collecting, and presenting data to support decision-making.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

U-Next

SEPTEMBER 13, 2022

Top Data Science & Machine Learning Interview Question . Explain the term Data Science? . The first step is to compile the pertinent data and business requirements. Especially when dealing with larger datasets, data analysis cannot be performed on the entire volume of data at once.

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

ProjectPro

NOVEMBER 18, 2021

Data science has been a trending buzzword in recent times. With wide applications in various sectors like healthcare, education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there.

Data Science 52

Data Science Project Food Pharmaceutical 52

ProjectPro

MAY 31, 2021

And even if you’re not very active on social media, I’m sure you now and then check your phone before leaving the house to see what the traffic is like on your route to know how long it could take you to reach your destination. Kicking off a big data analytics project is always the most challenging part.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

OCTOBER 22, 2021

It uses time-series data and automatically selects the most relevant anomaly detection algorithm for detecting dips, deviations, and spikes from inliers. You can use the UCI machine learning repository and Libsvm datasets for the anomaly detection project. You can use the Fake News data set from Kaggle.

Project 52

Project Cloud Computing Datasets Machine Learning 52

Edureka

APRIL 24, 2024

This integration provides an efficient experience for crafting visuals across a range of projects, from social media to marketing and other designs. Step 1: Data collection and preprocessing for training A massive chunk of data is accumulated to be used for training purposes.

Datasets 40

Datasets Technology Designing Data Collection 40

AltexSoft

MAY 12, 2023

Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc. Social media posts.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

U-Next

AUGUST 11, 2022

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Cybersecurity: Today, every individual has a virtual presence through a social media profile or a business website.

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

AUGUST 9, 2021

Top 20 Python Projects for Data Science Without much ado, it’s time for you to get your hands dirty with Python Projects for Data Science and explore various ways of approaching a business problem for data-driven insights. 1) Music Recommendation System on KKBox Dataset Music in today’s time is all around us.

Data Science 52

Data Science Python Project Datasets 52

Monte Carlo

OCTOBER 5, 2023

Data freshness (aka data timeliness) means your data should be up-to-date and relevant to the timeframe of analysis. Example: Social media metrics (e.g., Data validity means your data conforms to the required format, type, or range of values. likes, shares) should be refreshed at least once every 12 hours.

Government 52

Government Data Governance Data Datasets 52

U-Next

AUGUST 3, 2022

After understanding what Data Science is and its fundamental principles, what else do we need to discuss? What is a Data Scientist? A Data Scientist is skilled in concluding data using various systems, procedures, and algorithms. Qualifications needed to become a Data Scientist.

Retail 52

Retail Data Science Computer Science Entertainment 52

Knowledge Hut

JUNE 20, 2023

Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters. Facial reorganization, social media optimization, etc. Additionally, they create and test the systems necessary to gather and process data for predictive modelling. Assemble data for predictive and prescriptive modeling.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 16, 2021

FAQs on Machine Learning Projects for Resume Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning and Data Science have been on the rise in the latter part of the last decade. Quite similar to classification is clustering but with the minor difference of working with unlabelled data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

DECEMBER 9, 2021

Pictures of many legendary individuals, including freedom fighters, activists, renowned scientists and researchers, authors, were infused with life and shared on social media platforms. Generator Network ( Source ) As shown in the figure above, this generated image is fed to the Discriminator network as training data with fake labels.

Project 52

Project Medical Datasets Deep Learning 52

Grouparoo

DECEMBER 7, 2021

If undetected, corruption of data and its information will compromise the processes that utilize that data. Personal Data Collecting and managing data carries regulatory responsibilities regarding data protection and evidence required for regulatory compliance.

Data Integration 52

Data Integration Manufacturing ETL Tools Transportation 52

U-Next

SEPTEMBER 21, 2022

The idiom “data is the new oil” appropriately explains how data is fueling practically every possible system across the planet. Everything from your online buying experience to your pastime, what you stream, and what you share on social media creates and operates on data that millions of people like you generate.

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

ProjectPro

JULY 10, 2021

Sentiment Analysis from Social Media Feeds 3. Time Series-based Data Analysis for Taxi Service 4. Practicing the implementation of various time series analysis and forecasting techniques on real-world machine learning datasets is essential to master time series analysis concepts for machine learning. Stock Price Prediction 2.

Project 40

Project Banking Datasets Python 40

AltexSoft

MARCH 22, 2022

There are several key reasons, a business may consider using synthetic data: Cost and time efficiency. Synthetic data maybe way cheaper to generate than to collect from real world events, if you don’t have a proper dataset. Exploring rare data. Text data generation. Sound data generation.

Machine Learning 52

Machine Learning IT Medical Insurance 52

ProjectPro

APRIL 14, 2015

graduate devised an algorithm to hack OkCupid by optimally using the data that was already there. McKinlay was not satisfied with the compatible match making algorithms the dating sites were using as it did not help him find his Mrs. Perfect with similar tastes who could become his soul mate. Image Credit: linkurio.us

Big Data 52

Big Data Data Analysis Algorithm MongoDB 52

AltexSoft

AUGUST 10, 2021

So, the main difference from traditional lead scoring is the model’s ability to determine more reliable attributes based on expansive data. ML algorithms process your historic sales data to discover patterns and determine which attributes and combinations of attributes indicate a customer’s propensity to convert. Marital status.

Machine Learning 72

Machine Learning Data Mining Datasets Algorithm 72

ProjectPro

AUGUST 24, 2021

And if you are aspiring to become a data engineer, you must focus on these skills and practice at least one project around each of them to stand out from other candidates. Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? 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? How Walmart uses Big Data?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

OCTOBER 20, 2021

The estimator automatically performs the algorithm selection as well as the hyperparameter tuning Auto-Keras : To recall, Keras is an open-source library that provides a Python interface into the world of Artificial Intelligence, especially Tensorflow. Auto-Weka : Weka is a top-rated java-based machine learning software for data exploration.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52