Knowledge Hut

MARCH 19, 2024

Data science uses and explores a variety of methods, including machine learning (ML), data mining (DM), and artificial intelligence ( AI ). This field is mostly focused on estimation, data analysis results, and understanding of these results. What Does a Software Engineer Do?

Software Engineer 52

Software Engineer Software Engineering Engineering IT 52

Knowledge Hut

MARCH 15, 2024

Then, as you start working, you will utilize this knowledge to optimize vital ML systems and algorithms. These systems are responsible for ingraining complex algorithms into digitized devices and increasing their processing power. You will become a seasoned professional in statistics and machine learning algorithms by now.

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

ProjectPro

FEBRUARY 8, 2016

It is the simplest form of analytics, and it describes or summarises the existing data using existing business intelligence tools. The main techniques used here are data mining and data aggregation. Descriptive analytics involves using descriptive statistics such as arithmetic operations on existing data.

Data Mining 56

Data Mining Big Data Medical Data Analytics 56

Knowledge Hut

FEBRUARY 12, 2023

Data science jobs for freshers in USA employ graduates from master programs in disciplines related to data science, a bachelor's degree holder in the relevant field can also land entry-level data science jobs in the US. Since they are highly sought-after careers, the portfolio of candidates with no experience must be strong.

Data Science 52

Data Science Computer Science Portfolio Certification 52

ProjectPro

MARCH 12, 2016

It collects more than 20 terabytes of log data every day for sentiment analysis, event analytics, customer segmentation, recommendation engine and sending out real-time location based offers. Interested to know how much a data scientist at PayPal earns? ”- said Hui Wang, PayPal’s senior director of global risk sciences.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

MARCH 14, 2014

In 2015, big data has evolved beyond the hype. 87% of companies using big data believe that within next 3 years big data analytics will redefine the competitive landscape of various industries. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! How big data helps businesses?

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms. Past experience with utilizing NLP algorithms is considered an added advantage. Hands-on experience with cloud-based platforms such AWS, Azure.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

OCTOBER 6, 2021

Data Mining Applications using Google Cloud Platform Data Mining Applications have become highly essential to solve different real-world problems. Check Out Top SQL Projects to Have on Your Portfolio It also uses Cloud Pub/Sub to receive notifications when data is uploaded in the Cloud Storage Bucket.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

Knowledge Hut

AUGUST 16, 2024

This will form a strong foundation for your Data Science career and help you gain the essential skills for processing and analyzing data, and make you capable of stepping into the Data Science industry. One reason for this is the higher demand for Data Scientists in the industry.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

ProjectPro

JULY 7, 2021

Dating App Algorithm 10. Suppose you have some programming background and knowledge of machine learning algorithms- you can quickly get started in the field of deep learning by reading a beginner-level book on the subject and practicing diverse machine learning and deep learning projects. Digit Recognition System 4. Text Generator 9.

Deep Learning 40

Deep Learning Project Portfolio Recruitment 40

ProjectPro

MAY 23, 2015

Inkiru's predictive technology platform pulls data from diverse sources and helps Walmart improve personalization through data analytics. How Walmart uses Big Data? Walmart has a broad big data ecosystem. Walmart uses data mining to discover patterns in point of sales data.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

SEPTEMBER 26, 2021

You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets. Machine Learning: Big Data, Machine Learning, and Artificial Intelligence often go hand-in-hand. Data Scientists use ML algorithms to make predictions on the data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 17, 2016

An “all-star” LinkedIn profile is likely to rank higher in LinkedIn internal search algorithm which means that you are more likely to be discovered by big data recruiters. Link to your Projects Portfolio and GitHub Profile This is extremely important if you are a fresher.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data).

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

AUGUST 24, 2021

Smart IoT Infrastructure Aviation Data Analysis Shipping and Distribution Demand Forecasting Event Data Analysis Data Ingestion Data Visualization Data Aggregation Let us discuss them in detail. After preprocessing, cleansing, and data transformation, you will visualize data in various Dashboards.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

FEBRUARY 27, 2023

Data engineering is also about creating algorithms to access raw data, considering the company's or client's goals. Data engineers can communicate data trends and make sense of the data, which large and small organizations demand to perform major data engineer jobs in Singapore.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

ProjectPro

DECEMBER 17, 2021

Additionally, solving a collection of take-home data science challenges is a good way of learning data science as it is relatively more engaging than other learning methods. So, continue reading this blog as we have prepared an exciting list of data science take-home challenges for you.

Data Science 52

Data Science Medical Machine Learning Algorithm 52

Knowledge Hut

DECEMBER 21, 2023

Here are the different job opportunities in the field of data engineering. Data Engineer / Big Data Engineer Data engineers create and test flexible Big Data ecosystems for businesses to run their algorithms on reliable and well-optimized data platforms.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

JANUARY 25, 2022

PySpark SQL provides all existing and new users with consistent shared access to various data sources such as Parquet, JSON, and many others. PySpark SQL also supports a diverse set of Big Data (machine learning) algorithms such as Classification, Clustering, Linear Regression, etc.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

MARCH 17, 2014

Big Data Analytics tackles even the most challenging business problems through high-performance analytics. To add on to this, organizations are realizing that distinct properties of deep learning and machine learning are well-suited to address their requirements in novel ways through big data analytics.

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

ProjectPro

JULY 3, 2015

The combined potential of Apache Hadoop’s parallel processing of large datasets and HANA’s in-memory computing capabilities offers- Cost effective solutions for large scale data storage and processing of both structured , semi structured and unstructured data such as text, video,audio,web logs, and machine data.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

Knowledge Hut

JANUARY 22, 2024

In the ever-evolving landscape of technology, where data reigns supreme, the pursuit of mastery in data science, specifically exploring "Data Science Course Fees," has become more than a professional endeavor—it's a journey into the heart of innovation. Welcome to the world of data science.

Data Science 52

Data Science Certification Education Programming 52

ProjectPro

MARCH 15, 2016

These days we notice that many banks compile separate data warehouses into a single repository backed by Hadoop for quick and easy analysis. Hadoop clusters are used by banks to create more accurate risk analysis models for the customers in its portfolio. Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Knowledge Hut

FEBRUARY 7, 2023

We can divide the types of Data Science Platforms into 3 parts. Automation Tools These tools help engineers to automate repetitive tasks in data science, including training models, selecting algorithms, and more. Gets slow when working on heavy Deep Learning Algorithms 2. They are: 1. Platform H2O.ai

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 52

ProjectPro

AUGUST 5, 2021

If you are looking to break into AI and don’t have a professional qualification, the best way to land a job is to showcase some interesting artificial intelligence projects on your portfolio or show your contributions to open-source AI projects. The data is present in the form of text and needs to be pre-processed.

Project 52

Project Datasets Deep Learning Machine Learning 52

Knowledge Hut

SEPTEMBER 25, 2023

Here are all the abilities you need to become a Certified Data Analyst, from tool proficiency to subject knowledge: Knowledge of data analytics tools and techniques: You can gain better insights about your quantitative and qualitative data using a variety of tools.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

ProjectPro

APRIL 2, 2015

Retail Analytics truly started with Target having figured out, quite early on – that data analytics can take the consumer buying experience to a whole other level. All this results in huge amounts of Big Data being generated which can be leveraged through Retail Analytics to get a precise view of demand and sales volume.

Retail 40

Retail Hadoop Big Data Data Mining 40

Knowledge Hut

SEPTEMBER 6, 2023

Statistical Knowledge : It is vital to be familiar with statistical procedures and techniques in order to assess data and form trustworthy conclusions. Data Mining and ETL : For gathering, transforming, and integrating data from diverse sources, proficiency in data mining techniques and Extract, Transform, Load (ETL) processes is required.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

FEBRUARY 1, 2022

Data Mining — How did you scrape the required data ? you set up to source your data. Predictive Modeling — Explain the machine learning model you trained, how did you finalized your machine learning algorithm, and talk about the evaluation techniques you performed on your accuracy score.

Data Science 52

Data Science Datasets Banking Machine Learning 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

JULY 15, 2021

You shall also use digital signatures and data encryption algorithms, such as Advanced Encryption Standard (AES), in the system. Data security and cloud computing are the areas focussed on this project. Diffie-Hellman key exchange is a suitable algorithm to carry out encryption and decryption.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

AUGUST 11, 2021

Analysis Layer: The analysis layer supports access to the integrated data to meet its business requirements. The data may be accessed to issue reports or to find any hidden patterns in the data. Data mining may be applied to data to dynamically analyze the information or simulate and analyze hypothetical business scenarios.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JUNE 24, 2021

With more complex data, Excel allows customization of fields and functions that can make calculations based on the data in the excel spreadsheet. Exploring various big data projects gives a better idea of where your interests lie while working with different analytics tools.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

AUGUST 13, 2021

Predictive Analytics Predictive Analytics involves using data science methods to estimate the value of a quantity necessary for decision making. This application of machine learning algorithms has changed the game for many businesses. The algorithm has now evolved into exciting neural networks like ANN, CNN, RNN, etc.

Machine Learning 40

Machine Learning Project Deep Learning Algorithm 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.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52