Knowledge Hut

NOVEMBER 27, 2023

Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. This is where Data Science comes into the picture.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

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.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. Business Intelligence tools, therefore cannot process this vast spectrum of data alone, hence we need advanced algorithms and analytical tools to gather insights from these data. Data Modeling using multiple algorithms. What is Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

MAY 2, 2024

Spark is developed in Scala programming language. It achieves this using abstraction layer called RDD (Resilient Distributed Datasets) in combination with DAG, which is built to handle failures of tasks or even node failures. Some of these algorithms are also applicable to streaming data.

Scala 52

Scala Hospitality Healthcare Retail 52

U-Next

AUGUST 16, 2022

Python has progressively risen to become the sixth most popular programming language in the 2020s from its founding in February 1991. The more difficult a programming language is to use, the more difficult it is to build a functional network. Why Does Python Excel As A Machine Learning Programming Language?

Deep Learning 52

Deep Learning Python Programming Language Machine Learning 52

ProjectPro

OCTOBER 6, 2021

It is needed to understand machine learning and deep learning algorithms that are used along with NLP techniques. Ability to code in one of the popular programming languages like C/C++, Python, R, Java. We will first shine some light on all the subjects and topics you must know for NLP and book recommendations for each one.

Deep Learning 52

Deep Learning Programming Language Machine Learning Algorithm 52

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. Interact with the data scientists team and assist them in providing suitable datasets for analysis. This book has detailed chapters that have been divided into eight parts.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

OCTOBER 16, 2021

Hands-On Machine Learning with Scikit-learn and TensorFlow: The Introduction Scikit-learn is the go-to machine learning library for Data Scientists who work with Python programming language. It contains codes to support the implementation of machine learning algorithms in Python.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

FEBRUARY 25, 2022

The primary reason behind this spike is the sudden realization that using MLOps results in the improvised deployment of machine learning algorithms. Feature Selection and Feature Engineering Choosing the relevant machine learning/deep learning algorithms. Using machine learning algorithms to automate the solution pipelines.

Deep Learning 52

Deep Learning Algorithm Machine Learning Data Science 52

ProjectPro

JANUARY 21, 2022

The solution is devised by applying statistical algorithms called machine learning models, which assist in revealing hidden patterns in the data. Well-versed with applications of various machine learning and deep learning algorithms. Experience in specialized domains such as Natural Language Processing/Computer Vision/ etc.

Deep Learning 52

Deep Learning Data Science Algorithm Programming Language 52

Knowledge Hut

MARCH 22, 2024

The best data structure courses provide comprehensive coverage of linear structures like arrays and linked lists as well as non-linear structures like trees and graphs, with hands-on programming practice to build skill in implementing optimised algorithms using appropriate storage schemes. Books (data) are arranged side by side.

Algorithm 52

Algorithm Data Datasets Accessible 52

ProjectPro

JANUARY 20, 2022

Machine learning, a subdomain of artificial intelligence, uses algorithms and data to imitate how humans learn and steadily improve. Machine learning algorithms leverage existing data as input to forecast the expected output. help you create machine learning algorithms without heavy coding. to test and optimize your model.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

ProjectPro

FEBRUARY 22, 2022

You don’t have to fear, because SQL programming language is here. SQL stands for Structured Query Language and has been around since 1974. The language hasn’t lost its charm and remains relevant for a rainbow of jobs even after about 50 years. Dataset: As an example, you can use this Walmart Dataset on Kaggle.

Data Analysis 52

Data Analysis SQL Project Banking 52

Edureka

JANUARY 18, 2024

Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms. They manage intricate datasets, create forecasting models, and examine consumer behavior to deliver tailored experiences. What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

ProjectPro

SEPTEMBER 29, 2021

Machine learning has algorithms that are used in natural language processing, computer vision , robotics more efficiently. Machine learning uses algorithms that teach machines to learn and improve with data without explicit programming automatically. Best NLP Books- What Data Scientists Must Read? PREVIOUS NEXT <

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

Knowledge Hut

OCTOBER 24, 2023

The purpose of data visualization projects is to identify patterns, trends, and anomalies or deviations in large datasets/big data (the main data for visualization projects); that otherwise would have been impossible. The reason is, visualizing complex algorithms is a lot easier to understand than numerical outputs.

Project 52

Project BI Datasets Big Data 52

ProjectPro

AUGUST 17, 2021

Work On Real-World Hands-On Computer Vision Projects Read Some Books on Modern Computer Vision Learn Mathematical Concepts Read Research Papers Experiment with Machine Learning and Deep Learning Models Computer Vision Engineer Salary - How Much do they Earn? Prototyping algorithms and testing to articulate/quantify results.

Engineering 40

Engineering Deep Learning Machine Learning Algorithm 40

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

AUGUST 9, 2021

The best way to learn any technology or a programming language is to learn by doing. 1) Music Recommendation System on KKBox Dataset Music in today’s time is all around us. Music streaming services profit from recommendation algorithms as well. On average, about 20-40% of values in a dataset are outliers or missing.

Data Science 52

Data Science Python Project Datasets 52

ProjectPro

APRIL 14, 2021

Build a data science project for every concept that you learn through the book or any other online data science resources. If any particular math or statistics concept does not make sense to you, be it on the book, or in the class, keep up your confidence and search for other alternate online resources to learn any given data science concept.

Data Science 40

Data Science Portfolio Machine Learning Python 40

ProjectPro

SEPTEMBER 6, 2021

If you could understand them, it would mean you will get the chance of booking your tickets near your travel date. Recommended Web Scraping Tool: The two web scraping libraries that will help you smooth this project’s implementation is BeautifulSoup and Requests of the Python programming language.

Project 52

Project Programming Language Entertainment Python 52

ProjectPro

APRIL 1, 2021

Skills Required For a Successful Career in Data Science Apart from the statistical know-how and programming skills, the most important thing is an individual’s love for data. Here is our quick checklist of data science skills - Programming Skills - You need to know a programming language like Python or R.

Data Science 40

Data Science Telecommunication Algorithm Machine Learning 40

Edureka

APRIL 17, 2023

Data mining involves identifying patterns and relationships in large datasets, while data cleaning involves removing errors, inconsistencies, and duplicates in the data. Some programming languages that data analysts need to learn to include Python, R, and SQL, among others.

Data Mining 40

Data Mining Data Analysis Recruitment Machine Learning 40

U-Next

AUGUST 11, 2022

Programming and logical reasoning. You should have a thorough knowledge of at least one programming language. Popular open source languages like Python and R for Data Science are easily accessible and involve a shorter learning curve. These powerful languages can be used for analysis, data manipulation and more. .

Data Science 40

Data Science Relational Database PostgreSQL MongoDB 40

ProjectPro

FEBRUARY 11, 2021

Getting Started with Machine Learning Engineering FAQs on becoming a Machine Learning Engineer Becoming a machine learning engineer looks like a daunting task because one needs to possess a versatile skill set with knowledge of more than one programming language. A true machine learning engineer is a unicorn.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Engage in hands-on projects, work with real-world datasets, and practice using Big Data tools and platforms.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

AUGUST 5, 2021

Candidates are aware of the keyword matching algorithm, and many of them insert as many keywords as possible into their resumes to get shortlisted by the company. You can use the Resume Dataset available on Kaggle to build this model. This dataset contains only two columns — job title and the candidate’s resume information.

Project 52

Project Datasets Deep Learning Machine Learning 52

AltexSoft

SEPTEMBER 21, 2023

Whether you’re an enterprise striving to manage large datasets or a small business looking to make sense of your data, knowing the strengths and weaknesses of Elasticsearch can be invaluable. For instance, you could have different indices for Hotels, Guests, and Bookings in the hospitality industry. Business workflow automation.

Engineering 52

Engineering NoSQL Programming Language Java 52

Rock the JVM

MAY 22, 2023

Scala is usually taught to Java developers, but Java is not mandatory: Python, C++, C#, JavaScript or some other mainstream language is perfectly fine. Apache Spark Apache Spark is a popular distributed computing engine that provides high-performance processing of large-scale datasets.

Scala 52

Scala Java Programming Language Programming 52

ProjectPro

JULY 10, 2021

You can spend time watching various podcasts on time series or read the best machine learning books , but you'll always struggle hard to put the time series modeling techniques you've learned into practice. Time Series Analysis is the process of identifying common patterns in the datasets over a specified time.

Project 40

Project Banking Datasets Python 40

AltexSoft

JUNE 9, 2023

Nowadays, language models are the backbone of natural language processing (NLP) — the ML technique empowering machines to analyze, comprehend, and generate human language. Types of language models Language models come in two main categories: statistical models and those based on deep neural networks.

Project 52

Project Java Hospitality Transportation 52

Knowledge Hut

JULY 26, 2023

Columnar stores, such as Apache Cassandra and Apache HBase, organize data by columns rather than rows, allowing for faster read and write operations on huge datasets. They provide specialized data types and indexing algorithms for storing and querying map, coordinate, and spatial relationship information. Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 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. The Yelp dataset, which is used for academic and research purposes, is processed here.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Databand.ai

DECEMBER 13, 2022

Currently, Charles works at PitchBook Data and he holds degrees in Algorithms, Network, Computer Architecture, and Python Programming from Bradfield School of Computer Science and Bellevue College Continuing Education.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

AltexSoft

MARCH 14, 2023

Software engineers use a technology stack — a combination of programming languages, frameworks, libraries, etc. — It must collect, analyze, and leverage large amounts of customer data from various sources, including booking history from a CRM system, search queries tracked with Google Analytics, and social media interactions.

IT 59

IT Data Warehouse Data Governance Data Lake 59

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. How Walmart uses Big Data?

Big Data 52

Big Data Data Analysis Hadoop Retail 52