ProjectPro

SEPTEMBER 27, 2021

After the birth of the new domain of Data Science, data has become a prized possession for most companies. They rely on data science algorithms to understand customer behavior, predict sales, etc. Exploring the independent variables in the dataset gives a fair idea about what algorithms can be used for that dataset.

Datasets 52

Datasets Finance Portfolio Banking 52

ProjectPro

FEBRUARY 5, 2022

Regression Models Regression models include popular algorithms like linear regression vs logistic regression , etc. Depending on the nature of the time series data, we assume an equation for the trend and use methods like least-squares fitting to estimate the coefficients in the equation. to solve time series analysis problems.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

Knowledge Hut

JANUARY 16, 2024

It is the realm where algorithms self-educate themselves to predict outcomes by uncovering data patterns. It has no manual coding; it is all about smart algorithms doing the heavy lifting. In traditional machine learning, data combined with statistical tools generate predictions that offer practical insights for decision-making.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

ProjectPro

SEPTEMBER 26, 2021

Senior Big Data Engineer Salary, The average salary of a Big Data Engineer with over 8 to 10 years of experience is around $120K. The senior-level roles require expert knowledge and skills in complex data analysis and programming. It can go up to $170K annually as per the skill-set and expertise.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

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

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

Knowledge Hut

FEBRUARY 12, 2023

It has automated systems for data processing, which removes the requirement for manual operations. Data science jobs in USA for freshers salary need to possess this skill to enter the field of data analysis. It involves complex calculations applied to data collected and refined to conclude.

Data Science 52

Data Science Computer Science Portfolio Certification 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

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. You will also compare the two algorithms to understand the differences between them.

Business Analyst 52

Business Analyst Project Retail Datasets 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

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

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

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