Knowledge Hut

OCTOBER 11, 2023

There are many books on the market where you can learn and understand Power BI. This post will discuss the Top 10 Power BI books for beginners and advanced-level readers. From understanding the basics to mastering advanced techniques, these books are your gateway to harnessing the full potential of Power BI.

BI 52

BI Business Intelligence Data Analysis Data Preparation 52

ProjectPro

FEBRUARY 16, 2023

ProjectPro has curated a list of the best Apache Spark books that cater to different levels of expertise, from beginner to pros. So sit back, grab a cup of coffee, and let's dive into the world of reading the top Apache Spark books. So sit back, grab a cup of coffee, and let's dive into the world of reading the top Apache Spark books.

Big Data 52

Big Data Scala Machine Learning Hadoop 52

ProjectPro

JANUARY 27, 2023

Whether you are new to the world of data visualization or a seasoned pro looking to strengthen your data visualization skills, these top 7 data visualization books will help you understand the principles and techniques of data visualization needed to communicate your findings effectively.

Entertainment 52

Entertainment Big Data Python Computer Science 52

AltexSoft

AUGUST 18, 2021

Preparing airfare datasets. Read our article Preparing Your Dataset for Machine Learning to avoid common mistakes and handle your information properly. Public datasets. There are also free datasets — for instance, Flight Fare Prediction on Kaggle. Flight dataset structure. The section of the Kaggle dataset.

Algorithm 59

Algorithm Datasets R (Programming) Machine Learning 59

Christophe Blefari

MARCH 22, 2024

Commun Corpus — A HuggingFace dataset collection including public domain texts, newspapers and books in a lot of languages. This is a visualisation of the hours spent by Erin reading books in 2023. Designing RAGs — A super long and detailed article about RAG. go check what the algorithm prepared for you.

Electronics 130

Electronics Media Data Python 130

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

Knowledge Hut

MAY 3, 2024

Types of Machine Learning: Machine Learning can broadly be classified into three types: Supervised Learning: If the available dataset has predefined features and labels, on which the machine learning models are trained, then the type of learning is known as Supervised Machine Learning. A sample of the dataset is shown below.

Machine Learning 98

Machine Learning Algorithm Datasets Medical 98

Knowledge Hut

MAY 20, 2024

You can consider taking help from other CBAP guides and books. Make sure to read the reviews of the books before purchasing them. Become a Data Engineer and master the art of extracting insights from complex datasets. Knowing everything given in the BABOK is really important to clear the CBAP exam. Enroll now!

Certification 52

Certification Business Analyst Datasets Data Science 52

Monte Carlo

MAY 20, 2024

A data dictionary acts like a meticulous librarian cataloging every book by its exact place and content, focusing narrowly on the particulars of individual data stores. Typical contents of a data catalog include: Dataset Descriptions : Summaries of what each dataset contains, its purpose, and its business relevance.

Datasets 52

Datasets Government Data Business Analyst 52

AltexSoft

FEBRUARY 21, 2023

The key objective behind this task is to set the best booking prices to entice customers and ensure that hotels take full advantage of their business potential. The hotel had only one year of booking data, whereas for accurate price predictions at least two or three years of data are required.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

AltexSoft

NOVEMBER 15, 2022

The same formula goes for vacation rental property management, but instead of rooms, you calculate the percentage of booked vacation rental units. For example, if you run 85 vacation rentals and 70 of them are booked tonight, then tonight’s occupancy rate is around 82 percent (70 divided by 85 and multiplied by 100). Data sources.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

Knowledge Hut

JANUARY 19, 2024

Imagine having the ability to extract meaningful insights from diverse datasets, being the architect of informed strategies that drive business success. As you explore advanced data science topics, you discover the magic behind automating predictions and uncovering patterns in complex datasets. Implementing machine learning magic.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Cloudera

MARCH 27, 2023

Consult the Book of Spells Our spells are cast from our Enterprise Business Glossary. We doubled-down on data governance in 2021, and in 18 short months we’re flying high, in part because we are standardizing our enterprise datasets. How would you get the trust into trusted data ?

Finance 74

Finance Datasets Data Governance Government 74

AltexSoft

JUNE 21, 2023

The formula for vacation rental ADR is as follows: In the formula: the “total rental revenue represents the total revenue earned from a reservation, including daily rates and cleaning fee; the “number of nights booked” is the sum of all individual nights that guests have stayed or will stay at the property.

Hospitality 52

Hospitality Management Machine Learning Datasets 52

Cloudera

NOVEMBER 30, 2022

var dataSet = List(Row(1, "1", 1), Row(2, "2", 2)). dataSet = dataSet :+ Row(w, "foo", w); }. var rowRDD = spark.sparkContext.parallelize(dataSet). dataSet = List(Row(501, "500", 500), Row(502, "502", 502)). rowRDD = spark.sparkContext.parallelize(dataSet). for (w <- 3 to 500) {. format("phoenix"). .options(Map("table"

Database 81

Database Datasets NoSQL Big Data 81

Christophe Blefari

AUGUST 4, 2023

Mainly there are 3 datasets: Athletes — all the data about the athletes like their race ids, teams, their profile but also their body size. Should you go for dimensional modeling or go for OBT or even go for query-driven data modeling (coined by Joe Reis—who's writing a book about data modeling).

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

Christophe Blefari

SEPTEMBER 28, 2023

Big Data London exists since 2016 and when we look at sponsors it's like an history book. Announcing BigQuery Omni cross-cloud joins — Join datasets located in BigQuery with datasets located in AWS or Azure. Over the years Cloudera logo has been replaced by Snowflake and Databricks ones. Respectively $0.04

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

ProjectPro

FEBRUARY 22, 2022

Dataset: As an example, you can use this Walmart Dataset on Kaggle. The dataset contains Walmart store sales (Year, Month, Product Category, and Sales) for 2009-2014. SQL Project Idea: You can use the dataset to create an online retail application database in SQL. You must have come across various books.

Data Analysis 52

Data Analysis SQL Project Banking 52

Towards Data Science

AUGUST 31, 2023

How can you make datasets with hundreds of millions of rows aggregate or join faster? A regular index is the kind of thing you might find at the end of a book: a list of words and where they have shown up in the text. In doing geospatial data science work, it is very important to think about optimizing the code you are writing.

Data Engineering 72

Data Engineering Data Engineer Engineering Data Science 72

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. and 2.2.4.). If you’re also a visual learner like me, you’d like to “ see ” it, right? Image by Author. Image by Author.

Datasets 103

Datasets Machine Learning Data Data Science 103

ProjectPro

MAY 20, 2016

With petabytes of digital information surrounding us on any topic under the sun, we often forget the importance of reading a book , to gain in-depth understanding about the latest big data technologies. A popular author Neil Richard MacKinnon Gaiman said- “A book is a dream that you hold in your hand.”

Hadoop 40

Hadoop Big Data Portfolio Data Ingestion 40

Towards Data Science

MARCH 2, 2024

The primary objective here is to establish a metric that can effectively measure the cleanliness level of a dataset, translating this concept into a concrete optimisation problem. However, these metrics are task-specific and do not offer a unified measure for the overall cleanliness of a dataset that includes various types of errors.

Datasets 60

Datasets Data Data Science Python 60

ProjectPro

SEPTEMBER 29, 2021

Table of Contents Learning Probability and Statistics for Machine Learning Best Statistics Book for Machine Learning Best Probability Book for Machine Learning How to choose the Best Statistics Course for Machine Learning? The first one is to understand the dataset, and this is where you require knowledge of statistics.

Machine Learning 52

Machine Learning Insurance Algorithm Datasets 52

Knowledge Hut

OCTOBER 27, 2023

Since we've all been students, working with a dataset you're familiar with makes it easier to learn. Start by getting a dataset and splitting it into different performance parts. Practice Dataset Student Result 5. This will help you practice cleaning the dataset. Show progress using visuals like gauges or KPIs.

BI 52

BI Project Datasets Healthcare 52

ProjectPro

OCTOBER 16, 2021

Not only that, but it also provides the option to effortlessly use various popular datasets like MNIST, California Housing, etc. To understand the broad applications of the two libraries in Python, most beginners in machine learning resort to hands-on machine learning with scikit-learn and TensorFlow pdf book.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

Knowledge Hut

NOVEMBER 27, 2023

Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. Data Science Preparation Books 1. Practical Statistics for Data Science This book will give you all the required knowledge you need on statistics to begin your Data Science journey.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Ascend.io

FEBRUARY 15, 2024

Large datasets bring challenges in terms of processing power and storage needs. Understanding the desired outcome of the end product is important and should be top of mind when evaluating each table or dataset that is ingested. This strategy is more efficient for large datasets as it reduces the data volume being transferred.

Datasets 52

Datasets Database Data Warehouse Data 52

Knowledge Hut

OCTOBER 29, 2023

Once you have a dataset, you will need to process it and transform it into a format that can be displayed in your app. LMSs are designed to help libraries track and manage their books, e-books, journals, and other materials. Restaurant Booking Website Another great project idea is to develop a restaurant booking website.

Computer Science 111

Computer Science Coding Project Hospitality 111

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. Book Recommendation: Python for Everybody by Dr Charles R.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

Knowledge Hut

MAY 3, 2024

Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars. Spark's primary data structure is Resilient Distributed Datasets (RDD). Each dataset in an RDD is split into logical divisions that may be calculated on several cluster nodes.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Knowledge Hut

MAY 1, 2024

It is important to understand the concepts, either by going through standard books or well-known websites, before implementing them. It helps in generalizing the relationship to the entire dataset. It is important to remember that the dataset drawn from the population is relevant and represents the population accurately.

Data Science 52

Data Science Datasets Algorithm Machine Learning 52

The Modern Data Company

MARCH 7, 2023

A number such as 516.375 above identifies a book or other resource specifically as dealing with Finsler Geometry. That number also shows how that book relates to others above and below it in the hierarchy. This can increase discoverability and thereby promote the use of that dataset for the intended purpose.

Data Governance 52

Data Governance Government Metadata Datasets 52

Knowledge Hut

MARCH 27, 2024

In simpler terms, a database is where information is neatly stored, like books on shelves, while data structures are the behind-the-scenes helpers, ensuring data is well-organized and easy to find. Flexibility: Offers scalability to manage extensive datasets efficiently. How Are They Similar?

Database 52

Database Algorithm Relational Database PostgreSQL 52

Scott Logic

NOVEMBER 24, 2023

Decision trees are simple structures which go through a dataset and pose yes or no questions about its content. From asking these binary questions, the decision tree allows us to get an idea of which features split the dataset most effectively. Most often, the goal is to predict a target feature of the dataset based on the rest.

Datasets 52

Datasets Machine Learning Deep Learning Medical 52

Databand.ai

AUGUST 30, 2023

Data profiling tools: Profiling plays a crucial role in understanding your dataset’s structure and content. Data testing tools provide insights into potential errors or discrepancies within datasets, allowing necessary corrections to be made promptly and enabling faster, more confident decision-making processes.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 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

AltexSoft

SEPTEMBER 19, 2023

Company’s booking website and mobile app allow you to track and collect a wealth of data, from web traffic information to user behavioral metrics (session duration, navigation paths, etc.), For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52