ProjectPro

SEPTEMBER 6, 2021

The machine learning techniques are applicable in enhancing the security of the transactions by detecting the possibilities of fraud in advance. Deep learning solutions using Python or R programming language can predict fraudulent behavior. It is continually achieving better model portfolios as a result.

Machine Learning 52

Machine Learning Retail Healthcare Medical 52

ProjectPro

AUGUST 16, 2021

You can scale different variables to draw better conclusions from the data and also learn how to treat outliers in a dataset. Complete Solution: Credit Card Fraud Detection Data Science Project Data Mining Project on Wine Quality Dataset Dataset: For this project, you can use the R programming language.

Data Mining 40

Data Mining Coding Project Datasets 40

ProjectPro

FEBRUARY 24, 2016

A data scientist must have in-depth knowledge of technologies used to tame big data and should always be willing to learn the merging ones. It is known that machine learning ( deep learning , NLP , clustering techniques), python programming , and statistics are the must-have skills for data scientists in 2023.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

AUGUST 21, 2015

i) Data Ingestion – The foremost step in deploying big data solutions is to extract data from different sources which could be an Enterprise Resource Planning System like SAP, any CRM like Salesforce or Siebel , RDBMS like MySQL or Oracle, or could be the log files, flat files, documents, images, social media feeds. PREVIOUS NEXT <

Hadoop 40

Hadoop Big Data Metadata Java 40