ProjectPro

DECEMBER 21, 2021

The Rossmann Stores dataset is one of the most popular datasets used by Data Science beginners. You can use the dataset and the linear regression machine-learning algorithm to forecast retail sales in this project. You will train and test the data model using the cross-validation method.

Machine Learning 52

Machine Learning Engineering Algorithm Data Science 52

AltexSoft

AUGUST 10, 2021

When combined with machine learning and data mining , it can make forecasts based on historical and existing data to identify the likelihood of conversion. So, the main difference from traditional lead scoring is the model’s ability to determine more reliable attributes based on expansive data. Demographic data.

Machine Learning 72

Machine Learning Data Mining Algorithm Datasets 72

ProjectPro

JUNE 18, 2021

It allows high-performance management of data using its powerful data structures. Pandas allow cleaning of messy datasets enabling them to be more readable and relevant. PySpark allows one to interface with Resilient Distributed Datasets (RDD’s) in Apache Spark and the Python programming language.

Java 52

Java Data Science Python Programming Language 52

U-Next

AUGUST 16, 2022

Deep learning necessitates a sophisticated architecture of neural networks made up of numerous nodes, each engaging with one another in different directions, as opposed to Machine Learning, which merely needs a well-built dataset of training instances. The connections between each node aren’t particularly complicated on their own.

Deep Learning 52

Deep Learning Python Programming Language Machine Learning 52

ProjectPro

DECEMBER 7, 2021

Focus on showcasing the following while compiling your portfolio and considering what kind of projects to include: 1) The potential to collect (or "scrape") relevant data from several sources. 2) The skill to clean datasets completely. The Apriori and Fp Growth data mining techniques can be used to do client market basket analysis.

Portfolio 52

Portfolio Building Data Mining Data Science 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

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

JULY 7, 2021

Pre-trained models are models trained on an existing dataset. All you need to do is download the model and train on top of it with the available data. Cat vs. Dog Image Classifier If you are a beginner in deep learning, this is a project you should start with.First, you will need to find a labeled dataset of cat and dog images.

Deep Learning 40

Deep Learning Project Portfolio Recruitment 40

Knowledge Hut

JUNE 4, 2024

These graphical depictions are pivotal in the field of data science for effective analysis and interpretation. Understanding the various types of data visualization in data science is crucial to select the appropriate visual method for the dataset at hand. Enroll in Data Science Online Bootcamp.

Data Science 40

Data Science Datasets Data Machine Learning 40

ProjectPro

JUNE 26, 2021

Deep understanding of Data Structures and algorithms. Must be able to draw insightful conclusions from the dataset and present them in an organized manner. Strong ability to code in programming languages like R/Python/Matlab. Strong foundation in Mathematics and Statistics. Good communication skills.

Project 40

Project Deep Learning Datasets Medical 40

U-Next

SEPTEMBER 19, 2022

It also keeps data up to date to the most recent second through data refreshing. You may rapidly search for critical insights and datasets inside your data using the Quick Insights option. In this power BI tutorial , we will comprehend different data connections to get information. It represents a personalized.

BI 40

BI Business Intelligence Datasets Retail 40

ProjectPro

AUGUST 5, 2021

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. The data is present in the form of text and needs to be pre-processed. Dataset: Kaggle Resume Dataset 2. Python Package: GluonNLP 4.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

JULY 23, 2021

TensorFlow clusters together machine learning and deep learning models and renders them through large datasets to train these models to think and create sensible outcomes on their own. If you are into intense research and want to proceed with Deep learning innovative projects having large datasets, TensorFlow is for you.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

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. Role Level Mid to Senior Level Responsibilities Analyzing MongoDB data to extract actionable insights and patterns.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

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

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. To get started, you'll need to gather data from a variety of sources. You can use RSS feeds, APIs, or web scraping techniques to collect this data. Source Code: Real Estate Search Based Data Mining 8.

Computer Science 111

Computer Science Coding Project Hospitality 111

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?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

Knowledge Hut

DECEMBER 26, 2023

This big data book for beginners covers the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. Learn how Spark functions on a cluster.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

ProjectPro

JUNE 24, 2021

Some amount of experience working on Python projects can be very helpful to build up data analytics skills. 1) Market Basket Analysis Market Basket Analysis is essentially a data mining technique to better understand customers and correspondingly increase sales.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

JULY 30, 2021

Data Description The dataset contains the following information about the products purchased by different users. on different images in a dataset. Data Description: This project will use sample images and videos as input data. Data Description: The data is contained in two different CSV files.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

AUGUST 13, 2021

COVID-19 Dataset Analysis and Prediction 5. Is there any other site like GitHub to download machine learning projects and the instructions for setting it up? You can use the Walmart dataset and use Python to predict sales of their stores. Classification System 4. Sentiment Analysis 5. Neural Networks 2. Text Summarization 3.

Machine Learning 40

Machine Learning Project Deep Learning Algorithm 40