Knowledge Hut

OCTOBER 29, 2023

Smart watches can help in data collection and then the same data can be fed into an application that is capable of sending alerts in case an outlier is detected. To build the project: Download the dataset and keep it ready for use. Refer the code from here and follow the document to visualize the results.

Project 52

Project Hospitality Food Datasets 52

ProjectPro

OCTOBER 8, 2021

You can start by downloading the Online Retail Dataset. Perform exploratory data analysis of the dataset to understand the various attributes in the dataset better. You can also use matplotlib to plot the dataset and visualize it. The algorithm assigns each data point to the closest centroid.

Retail 52

Retail Machine Learning Project Datasets 52

ProjectPro

OCTOBER 28, 2021

List of Prerequisites for Machine Learning Basic Mathematical Prerequisites for Machine Learning Linear Algebra Prerequisites for Machine Learning Is Coding required for Machine Learning? It simplifies complex problems by making probabilistic predictions for specific parameters in the dataset. Is Coding required for Machine Learning?

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

Knowledge Hut

NOVEMBER 28, 2023

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. Your data should possess the maximum available information to perform meaningful analysis. What is a Data Science Dataset?

Datasets 96

Datasets Data Science Project Banking 96

AltexSoft

MAY 12, 2022

Audacity doesn’t require coding skills. Yet, its toolset for for audio analysis is not very sophisticated. For further steps, you need to load your dataset to Python or switch to a platform specifically focusing on analysis and/or machine learning. Labeling of audio data in Audacity. Audio data analysis steps.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

ProjectPro

DECEMBER 21, 2021

Also, you will find many Python code snippets available online that will assist you in the same. Here are a few beginner-friendly machine learning projects with source code that you might want to explore- 1. The Rossmann Stores dataset is one of the most popular datasets used by Data Science beginners.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

DECEMBER 21, 2023

They have to choose the most appropriate datasets for analysis before proceeding with the modeling. A machine learning engineer has to figure out the differences in data distribution, which can further lead to errors in model performance. Download Machine Learning Engineer resume template here!

Machine Learning 52

Machine Learning Engineering Computer Science Portfolio 52

Knowledge Hut

FEBRUARY 28, 2024

In the early stages of the data analysis process, exploratory visualizations don't need to be pretty. More  More importantly, analysts can quickly gain a personal understanding of the data. As we understand what dashboard data visualization is and why we create it so let’s look at them.

BI 52

BI Business Intelligence Data Data Science 52

Knowledge Hut

MARCH 22, 2024

Rising Demand: Recent industry reports state that the adoption of MongoDB has been increasing, and the database has attracted over 40 million download users from thousands of organizations. Experience with infrastructure-as-code tools (e.g., Building dashboards and reports to visualize MongoDB data. AWS, Azure, GCP).

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

ProjectPro

JUNE 18, 2021

Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects Python is a simple and easy-to-learn programming language. It requires much fewer lines of code than other programming languages to perform the same operations. Java for Data Science - Should data scientists learn Java?

Java 52

Java Data Science Python Programming Language 52

ProjectPro

JULY 23, 2021

AWS users can run code without worrying about managing the services or creating workload-aware cluster scaling logic. You can retrieve the required content and can format and convert the content to download or display on the webpage. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

OCTOBER 18, 2021

Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. They have a well-researched collection of data such as ratings, reviews, timestamps, price, category information, customer likes, and dislikes.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

DECEMBER 28, 2023

Besides, most servers offer multi-format flexibility – that is, they allow you to view queries in colour-coded formats and export them to HTML, Excel, or PDF – which makes it simple for both technical and non-technical persons to use the tool. Key Features: It allows low-volume downloads – as small as 25MB.

SQL 52

SQL MySQL PostgreSQL Database 52

AltexSoft

MARCH 28, 2022

Negotiate a proprietary agreement with Airbnb, authorizing you to use their data. Publicly available datasets. Download free, anonymized datasets from Inside Airbnb , a non-commercial platform that presents snapshots of Airbnb listings with reviews, calendar and over 50 data points (pieces of information describing the listing.).

Hospitality 52

Hospitality Business Intelligence Datasets Machine Learning 52

ProjectPro

DECEMBER 7, 2021

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. However, it is not straightforward to create data pipelines.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. Table of Contents What is a dataset in machine learning? Why you need machine learning datasets? Where can I find datasets for machine learning? Why you need machine learning datasets?

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

FEBRUARY 22, 2022

This article will teach you exciting SQL project ideas to develop data analysis skills. Data, data, everywhere! SQL Projects For Data Analysis Hoping the example above has fueled you with the zeal to enhance your programming skills in SQL , we present you with an exciting list of SQL projects for practice.

Data Analysis 52

Data Analysis SQL Project Banking 52

ProjectPro

AUGUST 24, 2021

. :) But before you start data engineering project ideas list, read the next section to know what your checklist for prepping for data engineering role should look like and why. 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

APRIL 19, 2021

Collect Data Having clearly defined the business problem, a data analyst determines what data needs to be collected from existing data sources or databases. Collecting data in the real world is not as easy as downloading a dataset from Kaggle. Build and deploy data collection systems.

Portfolio 40

Portfolio Data Finance Certification 40

ProjectPro

JUNE 2, 2021

"Exploratory data analysis is an attitude, a state of flexibility, a willingness to look for those things that we believe are not there, as well as the things we believe might be there. “ - quoted in Exploratory Data Analysis Tukey PDF on Nonparametric Statistical Data Modeling. Off to Explore!

Data Analysis 52

Data Analysis Python Machine Learning Data Science 52

Knowledge Hut

FEBRUARY 29, 2024

As per official statistics, they provide more than 100 installers with more than 8000+ packages for Data Science and Machine Learning. Anaconda Navigator Anaconda Navigator is a UI Interface, as shown above, which allows you to access different tools like Jupyter Notebook, VS Code, and Spyder directly by clicking on the launching button.

Data Science 52

Data Science Project Datasets Python 52

ProjectPro

MAY 26, 2021

Say you have been provided the following data about candy orders: You have also been informed that the customers are uncompromising candy-lovers who consider their candy preference far more important than the price or even dimensions (essentially uncorrelated price, dimensions, and candy sales).

Machine Learning 40

Machine Learning Engineering Data Science Portfolio 40

ProjectPro

JULY 28, 2021

Google Data Scientist Job Description - All You Need to Know Skills Required for a Data Scientist at Google Technical Skills Soft Skills Google Data Scientist Salary - How much does a data scientist at Google make? How to Apply for a Data Scientist Job at Google? What does a data scientist at Google do?

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

Knowledge Hut

DECEMBER 26, 2023

Use of Python in Data Science Data Science here is indeed an umbrella term, however, let’s try and understand, how Python is super helpful and integral part of end-to-end Data Science pipeline. Step 2: Practice with hands-on learning Hands-on coding is one of the most acceptable methods to advance your knowledge of Python.

Data Science 92

Data Science Python Programming Language Portfolio 92

ProjectPro

AUGUST 30, 2022

Top 5 Loan Prediction Datasets to Practice Loan Prediction Projects Univ.AI Top 5 Loan Prediction Datasets to Practice Loan Prediction Projects Univ.AI A machine learning model can look at this data, which could be static or time-series, and give a probability estimate of whether this loan will be approved.

Machine Learning 52

Machine Learning Coding Project Datasets 52

Knowledge Hut

JANUARY 12, 2024

OpenAI has launched a new tool known as Code Interpreter (CI) which is a plugin of ChatGPT – 4 that allows users to easily upload images, CSVs, PDFs, and other files. This Code Interpreter (CI) plugin can handle file downloads and uploads. What is ChatGPT Code Interpreter? How Does ChatGPT's Code Interpreter Work?

Coding 52

Coding IT Python Data Analysis 52

Cloudera

MAY 19, 2021

This year, we expanded our partnership with NVIDIA , enabling your data teams to dramatically speed up compute processes for data engineering and data science workloads with no code changes using RAPIDS AI. As a machine learning problem, it is a classification task with tabular data, a perfect fit for RAPIDS.

Machine Learning 137

Machine Learning Datasets Data Science Raw Data 137

Knowledge Hut

JANUARY 24, 2024

Power BI supports Data Analysis Expression and the M language for data manipulation and modeling. Data Visualization Tableau allows its users to customize dashboards specifically for devices. The Ask Data Tool It simplifies data manipulation by allowing us to conduct basic Google searches.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

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

FEBRUARY 5, 2021

Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. Table of Contents What is the MNIST dataset? Test the Trained Neural Network Visualizing the Test Results Ending Notes What is the MNIST dataset?

Datasets 40

Datasets Deep Learning Medical Algorithm 40

Marc Lamberti

NOVEMBER 23, 2022

If you need to run a DB for local data analysis, it’s the way to go! Because it is columnar-oriented DB (along with other optimizations), complex-long-running queries to aggregate, join, or read data become blazingly fast! It operates entirely in memory leading to out-of-memory errors if the dataset is too big.

Datasets 130

Datasets Python SQL Database 130

Knowledge Hut

JANUARY 12, 2024

You can multitask effortlessly, maybe run some data analysis while catching up on emails. The best part is that Linux is practically invincible against viruses and malware, ensuring your data stays safe. Before venturing into the world of Linux for data science , it is pivotal to have a solid foundation in data science itself.

Data Science 52

Data Science R (Programming) Python Data 52

ProjectPro

DECEMBER 7, 2021

Consider these free data analyst portfolio platforms if you're just getting started: Github : GitHub, an open-source community of 56 million developers, is one such popular choice for hosting your portfolio for free. 4) Data Visualization The data analysis process includes more than just extracting useful insights from data.

Portfolio 52

Portfolio Building Data Mining Data Analysis 52

ProjectPro

FEBRUARY 18, 2022

Supports data migration to a data warehouse from existing systems, etc. 15 ETL Projects Ideas For Big Data Professionals Below is a list of 15 ETL projects ideas curated for big data experts, divided into various levels- beginners, intermediate and advanced. Load the dataset into HDFS storage after downloading it.

Project 52

Project AWS Kafka Healthcare 52

Knowledge Hut

APRIL 25, 2024

The resources and expenses have been shown by a circular color-coded graph in the bottom right corner. Reports are for stakeholders who want to slice and dice data to find insights and need additional information. PepsiCo also used the BI's capacity to cut down analysis time by up to 90%.

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

ProjectPro

SEPTEMBER 16, 2021

The components are as follows: Data Analysis : The analysis component of the MLOps flow can be implemented using various tools and programming languages like Python and R. Please remember, in production, the actual process of Data Science does not change. Rather the way we approach solution design evolves.

Project 52

Project Amazon Web Services Machine Learning Data Science 52

ProjectPro

OCTOBER 27, 2021

Use the Pandas data frame to read and store your data. Also, remove all missing and NaN values from the dataset, as incomplete data is unnecessary. You can use the Huge Stock Market Dataset or the NY Stock Exchange Dataset to implement this machine learning project. Our data is imbalanced.

Finance 52

Finance Machine Learning Project Banking 52