ProjectPro

OCTOBER 18, 2021

Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data). In this project, you will use Convolutional Neural Networks (CNNs) to train machine learning algorithms.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

JANUARY 18, 2024

It is an interdisciplinary science with multiple approaches, and advancements in Machine Learning and deep learning are creating a paradigm shift in many sectors of the IT industry across the globe. SQL for data migration 2. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

AltexSoft

JULY 27, 2021

This type of CF uses machine learning or data mining techniques to build a model to predict a user’s reaction to items. The next step involves selecting fitting storage that is scalable enough to manage all the collected data. Or you may use a mix of different data repositories depending on the purposes.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

ProjectPro

JANUARY 25, 2022

PySpark SQL and Dataframes A dataframe is a shared collection of organized or semi-structured data in PySpark. This collection of data is kept in Dataframe in rows with named columns, similar to relational database tables. With PySparkSQL, we can also use SQL queries to perform data extraction.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

MARCH 12, 2016

Considering the fact that Hadoop lacks advanced security measures, PayPal institutes strong governance and security policies by anonymizing all data before it is stored into Hadoop. At PayPal the raw clickstream data is processed in Hadoop through a cleaning phase. Interested to know how much a data scientist at PayPal earns?

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

AUGUST 24, 2021

Google BigQuery receives the structured data from workers. Finally, the data is passed to Google Data studio for visualization. In this data engineering project, you will apply data mining concepts to mine bitcoin using the freely available relative data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

AUGUST 11, 2022

When it comes to the analysis and processing of data, Data Scientists are distinguished from data engineers at each step of the way. These methods create valuable data and capture insight revealed from the data, for example, categorisation, data mining, clustering, and data modelling.

Data Science 40

Data Science Data Cleanse Unstructured Data Machine Learning 40

AltexSoft

MAY 12, 2023

What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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