Knowledge Hut

JANUARY 16, 2024

These professionals, with their ML engineer skills, have expertise in research, building, and designing to develop AI systems that harness expansive datasets. Machine learning engineers work with data science teams on a diverse range of tasks. Several programming languages can be used to do this.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

ProjectPro

NOVEMBER 10, 2016

The job role of a Hadoop developer is playing with large datasets to program big data applications and anybody capable of doing it is the right fit for employers regardless of the experience. 33% of Hadoop Developers are from other programming background like PHP,NET, etc. 2) 37% of Hadoop developers know Unix/Linux.

Hadoop 52

Hadoop NoSQL Java Electronics 52

Knowledge Hut

JANUARY 24, 2024

Programming Support Compared to Power BI, Tableau integrates much better with R. Power BI supports Data Analysis Expression and the M language for data manipulation and modeling. Data Visualization Tableau allows its users to customize dashboards specifically for devices. BI projects.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Knowledge Hut

MAY 31, 2023

Sales Data Analysis It involves the analysis of data on every aspect of a company’s sales. Excel or Google Sheets can clean and analyze data for charts and graphs. Python or R is good for advanced data analysis and statistical modeling, like looking for trends or making predictions.

Project 52

Project Datasets Media Python 52

ProjectPro

DECEMBER 14, 2021

Customer Churn Analysis 2. Product Sales Data Analysis 3. Marketing Campaign Insights Analysis 4. Financial Performance Analysis 5. Healthcare Sales Analysis Intermediate-Level Power BI Project Ideas 6. Loan Application Analysis 10. Airport Authority Data Analysis 12.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

JANUARY 20, 2022

Here’s a list of pre-requisites you are required to have as a machine learning engineer- To do computations and work with algorithms, you'll need strong mathematical skills; fundamental coding skills in Python as well as experience with a typed language (e.g., However, programming fundamentals are still needed.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

ProjectPro

JANUARY 6, 2022

Pygal Learning Python for Data Analysis and Visualization FAQs Is matplotlib better than plotly? Which library is best for data visualization in Python? Why Use Python for Data Visualization? Python is a prevalent general-purpose programming language commonly used for data visualization in the data science community.

Python 52

Python Datasets Programming Language Data Science 52

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

NOVEMBER 30, 2021

Project Idea: In this project, you will work on a retail store’s data and learn how to realize the association between different products. Additionally, you will learn how to implement Apriori and Fpgrowth algorithms over the given dataset. The goal is to predict the sales and revenue of different stores based on historical data.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

JUNE 17, 2015

“Companies are betting big that harnessing data can play a major role in their competitive plans and is leading to high pay for critical skills.”-said The big data phenomenon is just incomplete without the use of popular NoSQL databases like MongoDB, Cassandra, HBase Neo4j, CouchDB, Riak and Redis. from the previous year.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

Knowledge Hut

FEBRUARY 7, 2023

A data science platform is software that includes a variety of technologies for machine learning, data science, and other advanced analytics projects. Typically, data science projects involve using an abundance of ls (eg. GUI Dashboards They have integrated dashboards to help visualize the graphs and results for the clients.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

DECEMBER 22, 2016

If you are aspiring to be a data analyst then the core competencies that you should be familiar with are distributed computing frameworks like Hadoop and Spark, knowledge of programming languages like Python, R , SAS, data munging, data visualization, math , statistics , and machine learning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

AUGUST 21, 2015

IBM has a nice, simple explanation for the four critical features of big data: a) Volume –Scale of data b) Velocity –Analysis of streaming data c) Variety – Different forms of data d) Veracity –Uncertainty of data Here is an explanatory video on the four V’s of Big Data 3.

Hadoop 40

Hadoop Big Data Metadata Java 40