ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

DECEMBER 22, 2016

Data Analyst Interview Questions and Answers 1) What is the difference between Data Mining and Data Analysis? Data Mining vs Data Analysis Data Mining Data Analysis Data mining usually does not require any hypothesis. Data analysis involves data cleaning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 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

Knowledge Hut

FEBRUARY 7, 2023

We can divide the types of Data Science Platforms into 3 parts. Automation Tools These tools help engineers to automate repetitive tasks in data science, including training models, selecting algorithms, and more. Gets slow when working on heavy Deep Learning Algorithms 2. They are: 1. Platform H2O.ai

Data Science 52

Data Science Google Cloud AWS Programming Language 52

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

FEBRUARY 1, 2022

Data Mining — How did you scrape the required data ? you set up to source your data. Predictive Modeling — Explain the machine learning model you trained, how did you finalized your machine learning algorithm, and talk about the evaluation techniques you performed on your accuracy score.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

JUNE 17, 2016

An “all-star” LinkedIn profile is likely to rank higher in LinkedIn internal search algorithm which means that you are more likely to be discovered by big data recruiters. Link to your Projects Portfolio and GitHub Profile This is extremely important if you are a fresher.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

AUGUST 16, 2021

FAQs on Machine Learning Projects for Resume Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning and Data Science have been on the rise in the latter part of the last decade. Quite similar to classification is clustering but with the minor difference of working with unlabelled data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

MARCH 15, 2016

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Let’s take a look at some Hadoop use cases in various industries. Hadoop in the Financial Sector The Finance sector is one of the major users of Hadoop.

Hadoop 40

Hadoop Retail Healthcare Banking 40