ProjectPro

OCTOBER 26, 2021

A machine learning framework is a tool that lets software developers, data scientists, and machine learning engineers build machine learning models without having to dig into the underlying working principle(math and stat) of the machine learning algorithms. It is Spark's fundamental data structure.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep Learning 52

U-Next

SEPTEMBER 22, 2022

The concept of predictive modeling can be explained as a form of data mining in which historical data is analyzed to identify patterns or trends, and then that knowledge is used to estimate the future. . By analyzing data points that are outlying, this model will be able to determine the cause. Classification Model .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

ProjectPro

JULY 30, 2021

With so many companies gradually diverting to machine learning methods , it is important for data scientists to explore MLOps projects and upgrade their skills. In this project, you will work on Google’s Cloud Platform (GCP) to build an Image segmentation system using Mask RCNN deep learning algorithm.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

DECEMBER 21, 2021

Machine learning, unlike other fields, has a global reach when it comes to job opportunities. The machine learning career path is perfect for you if you are curious about data, automation, and algorithms, as your days will be crammed with analyzing, implementing, and automating large amounts of knowledge.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

ProjectPro

DECEMBER 17, 2021

Additionally, solving a collection of take-home data science challenges is a good way of learning data science as it is relatively more engaging than other learning methods. So, continue reading this blog as we have prepared an exciting list of data science take-home challenges for you.

Data Science 52

Data Science Medical Datasets Machine Learning 52

U-Next

AUGUST 3, 2022

Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. After understanding what Data Science is and its fundamental principles, what else do we need to discuss? What is a Data Scientist? What are Data Scientist roles?

Retail 52

Retail Data Science Computer Science Entertainment 52

Knowledge Hut

APRIL 20, 2023

Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. Data science professionals are in high demand in areas such as banking, healthcare, and e-commerce. Companies in technology, banking, healthcare, and e-commerce.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

U-Next

AUGUST 25, 2022

Doing research in that field would be highly beneficial if you’re going for an MS in computer vision, deep learning, etc. The sentiment classification algorithm examines the phrases in each mobile user’s remark on a particular product and begins matching them with phrases already present in the databases.

Project 40

Project Engineering Medical Healthcare 40

Databand.ai

DECEMBER 20, 2022

In his role at LendingTree, he works closely with the data engineering team, synthesizes findings from data to provide actionable recommendations, and works with tree-based algorithms. Eric is certified in Lean Six Sigma and experienced in Python, SQL, and machine learning.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Classification 2. Machine Learning Projects on Prediction 3. Machine Learning Projects on Computer Vision 4. Machine Learning Projects on Natural Language Processing (NLP) 5. Deep Learning and Neural Network Projects 6.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

NOVEMBER 3, 2021

How to Become a Freelance Data Scientist Step-1: Explore the world of Data Science and Identify your bias It becomes difficult to know every nut and bolt of all the application systems when it comes to Data Science. That is primarily because the field of Data Science has quite a lot of subdomains to explore.

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

ProjectPro

JANUARY 15, 2021

100+ Machine Learning Datasets for Data Science and Machine Learning Practitioners Best Retail Datasets for Machine Learning Best Healthcare Datasets for Machine Learning Best Banking and Finance Machine Learning Datasets Social Media Datasets for Machine Learning Crime Datasets for Machine Learning Next Steps What is a dataset in machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

FEBRUARY 1, 2022

A data science case study is an in-depth, detailed examination of a particular case (or cases) within a real-world context. Data Mining — How did you scrape the required data ? you set up to source your data. How would you improve the bank's existing state-of-the-art credit scoring of borrowers?

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Concepts of deep learning can be used to analyze this dataset properly.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

MARCH 17, 2014

Big data analytics drives innovations by helping organizations make best possible decisions through –high performance data mining, predictive analytics, text mining, social sentiment analysis, text mining, forecasting and optimization. Hadoop is an open source software project.

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52