Knowledge Hut

JANUARY 18, 2024

To ensure that you can pick the right tool for your job, this article will look at some of the most popular data science programming languages scientists use today. The choice becomes easy when you are aware of your data science career path. What Is Data Science? It came out in 2009 when Google introduced it to the world.

Programming Language 98

Programming Language Data Science Programming Scala 98

Knowledge Hut

JANUARY 18, 2024

To make sure that you can pick the right tool for your job, this article will look at some of the most popular data science programming languages used by scientists today. The choice becomes easy when you are aware your data science career path. What Is Data Science? It came out in 2009 when Google introduced it to the world.

Programming Language 75

Programming Language Data Science Programming Scala 75

ProjectPro

FEBRUARY 22, 2022

This article will teach you exciting SQL project ideas to develop data analysis skills. Data, data, everywhere! SQL Projects For Data Analysis Hoping the example above has fueled you with the zeal to enhance your programming skills in SQL , we present you with an exciting list of SQL projects for practice.

Data Analysis 52

Data Analysis SQL Project Banking 52

Knowledge Hut

NOVEMBER 28, 2023

We will discuss the different types of datasets in data science which cover disciplines like data visualization, data processing, machine learning, data cleaning, exploratory data analysis, natural language processing, and computer vision. Below are some of the public datasets for data science.

Datasets 96

Datasets Data Science Project Banking 96

ProjectPro

MARCH 5, 2021

The invisible pieces of code that form the gears and cogs of the modern machine age, algorithms have given the world everything from social media feeds to search engines and satellite navigation to music recommendation systems. Hannah Fry, Mathematician. Let’s join these columns and make a new column out of it.

Algorithm 40

Algorithm Systems Python Datasets 40

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

AltexSoft

JULY 27, 2021

By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76