Edureka

APRIL 17, 2023

Here are a few project ideas that are suitable for beginners: Analyzing a dataset to identify trends and patterns: One of the most common projects for beginners is to analyze a dataset to identify trends and patterns. Intermediate data analytics projects can be challenging but rewarding.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

JULY 7, 2023

Applications of Data Mining in Software Engineering Mining Software Engineering Data The mining of software engineering data is one of the significant research paper topics for software engineering, involving the application of data mining techniques to extract insights from enormous datasets that are generated during software development processes.

Software Engineering 52

Software Engineering Software Engineer Engineering Data Mining 52

U-Next

AUGUST 11, 2022

Signal Processing Techniques : These involve changing or manipulating data such that we can see things in it that aren’t visible through direct observation. . Healthcare: Medical Science involves a huge deal of technology, from medical research to operational equipment production. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

DECEMBER 17, 2021

By implementing various machine learning algorithms over a dataset of dates, store, item information, promotions, and unit sales, you will be using time forecasting methods to predict the sales. Two Sigma Investments is a firm implementing data science tools over datasets for predicting financial trade since 2001.

Data Science 52

Data Science Medical Machine Learning Datasets 52

ProjectPro

JANUARY 19, 2022

Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use. Data infrastructure, data warehousing, data mining, data modeling, etc.,

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

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. influence the land prices.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Knowledge Hut

JANUARY 18, 2024

In my exploration of linear regression models across diverse fields such as ads, medical research, farming, and sports, I've marveled at their versatility. In simpler terms, it seeks the smallest sum of squared residuals for the given dataset. Model overfitting and data mining techniques can also inflate the value of R 2.

Machine Learning 52

Machine Learning Data Mining Medical Datasets 52

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. You can download a dataset of images of people with a mask and without a mask. Strong ability to code in programming languages like R/Python/Matlab.

Project 40

Project Deep Learning Datasets Medical 40

Knowledge Hut

JANUARY 18, 2024

The Internet of Things (IoT) is an expanding network of interconnected devices, sensors, and systems that collect and exchange data. These devices can range from everyday objects, such as smart thermostats, refrigerators, and light bulbs, to more complex devices, such as industrial machinery and medical equipment.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 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

U-Next

OCTOBER 27, 2022

AI clouds have been used in many domains, such as self-driving cars, medical diagnosis, and speech recognition. This method allows computers to discover hidden patterns in large datasets by grouping similar items together. This type of learning is used in data mining, natural language processing, and many other applications. .

Cloud Computing 40

Cloud Computing Cloud IT Algorithm 40

U-Next

OCTOBER 16, 2022

AI clouds have been used in many domains, such as self-driving cars, medical diagnosis, and speech recognition. This method allows computers to discover hidden patterns in large datasets by grouping similar items together. This type of learning is used in data mining, natural language processing, and many other applications. .

Cloud Computing 40

Cloud Computing Cloud Algorithm Machine Learning 40

ProjectPro

DECEMBER 14, 2021

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling. Regardless of the data source, query editors are helpful for editing datasets.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

FEBRUARY 1, 2022

Data Mining — How did you scrape the required data ? you set up to source your data. Data Exploration — Talk about the exploratory data analysis you performed for the initial investigation of your data to spot patterns and anomalies. Do the images vary within the dataset?

Data Science 52

Data Science Datasets Banking Machine Learning 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

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. Medical science and healthcare devices using AI also leverage TensorFlow to determine accurate solutions. What is Keras?

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

ProjectPro

MARCH 16, 2015

Big data in healthcare is used for reducing cost overhead, curing diseases, improving profits, predicting epidemics and enhancing the quality of human life by preventing deaths. Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

MARCH 15, 2016

That way every server, stores a fragment of the entire data set and all such fragments are replicated on more than one server to achieve fault tolerance. Hadoop MapReduce MapReduce is a distributed data processing framework. Apache Hadoop provides solution to the problem caused by large volume of complex data.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

AUGUST 16, 2021

Pairwise Ranking and Sentiment Analysis of Customer Reviews The data set for the project contains over 1600 product reviews for medical products, which have been labelled as informative and non-informative. Outliers in the dataset are dropped, and null values are imputed.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Knowledge Hut

MAY 23, 2024

They need to be able to identify patterns in data and draw accurate conclusions from those patterns. Second, data scientists must be expert programmers and be able to wrangle large datasets, build complex algorithms, and run simulations. Third, data scientists must have deep domain expertise in the industry they are working in.

Computer Science 98

Computer Science Java Data Science Certification 98

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

databricks

AUGUST 10, 2023

Across industries, data scientists spend up to 80% of their time trying to properly prepare and cleanse datasets for data mining and artificial.

Medical 87

Medical Data Mining Datasets Data 87