Knowledge Hut

NOVEMBER 27, 2023

For instance, sales of a company, medical records of a patient, stock market records, tweets, Netflix’s list of programs, audio files on Spotify, log files of a self-driven car, your food bill from Zomato, and your screen time on Instagram. How would one know what to sell and to which customers, based on data?

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Knowledge Hut

OCTOBER 27, 2023

The specific graphical techniques used in EDA tasks are quite simple, for example: Plotting raw data to gain relevant insight. Simple statistics, such as mean and standard deviation plots, are plotted on raw data. For better results, concentrate the analysis on specific sections of the data.

Data Science 96

Data Science Coding Project Datasets 96

Monte Carlo

AUGUST 31, 2023

In data science we call these attributes “features,” which are essentially what the rest of the data world calls a key metric. Why we originally built features with SQL Feature engineering and construction isn’t much different than other modern data pipeline architectures. This precludes more advanced algorithmic functionality.

SQL 64

SQL Data Science Machine Learning Algorithm 64

Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that combines computer programming, statistics, and business knowledge to solve problems and make decisions based on data rather than intuition or gut instinct. It requires mathematical modeling, machine learning, and other advanced statistical methods to extract useful insights from raw data.

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

DareData

JULY 29, 2020

We have heard news of machine learning systems outperforming seasoned physicians on diagnosis accuracy, chatbots that present recommendations depending on your symptoms , or algorithms that can identify body parts from transversal image slices , just to name a few. Good data pipelines are essential for any data-driven company.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

Knowledge Hut

APRIL 23, 2024

Real-time Customer Data Analysis for Personalized Interactions: Big data analytics provides real-time customer data analysis, enabling businesses to personalize consumer interactions right away. An example could be targeted ads by Swiggy/Zomato based on your preferred food orders.

Big Data 52

Big Data Recruitment Retail Transportation 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. To build such ML projects, you must know different approaches to cleaning raw data. To develop such algorithms, you need to have a thorough understanding of the following: a.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52