ProjectPro

SEPTEMBER 27, 2021

They rely on data science algorithms to understand customer behavior, predict sales, etc. When working with datasets of different types to implement data science algorithms, one has to understand the datasets properly. They then use the algorithms to formulate necessary predictions from the data.

Datasets 52

Datasets Finance Portfolio Banking 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

Machine learning, a subdomain of artificial intelligence, uses algorithms and data to imitate how humans learn and steadily improve. Machine learning algorithms leverage existing data as input to forecast the expected output. help you create machine learning algorithms without heavy coding.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

ProjectPro

FEBRUARY 5, 2022

And, when one uses statistical tools over these data points to estimate their values in the future, it is called time series analysis and forecasting. For example, consider the Australian Wine Sales dataset containing information about the number of wines Australian winemakers sold every month for 1980-1995.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 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

JANUARY 6, 2022

Table of Contents Why Use Python for Data Visualization? Top 10 Python Data Visualization Libraries 1. 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? Matplotlib 2.

Python 52

Python Datasets Programming Language Data Science 52

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. We can divide the types of Data Science Platforms into 3 parts. They are: 1. Platform H2O.ai

Data Science 52

Data Science Google Cloud Programming Language AWS 52

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 begins with a question or an assumption.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52