ODSC - Open Data Science

DECEMBER 7, 2023

You’ll take a deep dive into DataGPT’s technology stack, detailing its methodology for efficient data processing and its measures to ensure accuracy and consistency. You’ll cover the integration of LLMs with advanced algorithms in DataGPT, with an emphasis on their collaborative roles in data analysis.

Data Science 98

Data Science Data Wrangling Machine Learning Machine Learning 98

Becoming Human

MAY 15, 2023

You have to learn only those parts of technology that are useful in data science as well as help you land a job. Don’t worry; you have landed at the right place; in this article, I will give you a crystal clear roadmap to learning data science. Data Analysis After learning math now, you are able to talk with your data.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Pickl AI

OCTOBER 15, 2024

Summary: Statistical Modeling is essential for Data Analysis, helping organisations predict outcomes and understand relationships between variables. Introduction Statistical Modeling is crucial for analysing data, identifying patterns, and making informed decisions.

Decision Trees 52

Decision Trees Hypothesis Testing Clustering Data Analysis 52

Mlearning.ai

MAY 1, 2023

Inferential Statistics: It consists of collecting sample data and making conclusions about the data using some experiments. It involves hypothesis testing , confidence intervals, and regression analysis. In my future articles, I will try to cover more topics related to statistics in data science.

Data Science 52

Data Science Hypothesis Testing Data Analysis Data Analysis 52

Pickl AI

AUGUST 22, 2024

Summary: This article delves into qualitative and quantitative data, defining each type and highlighting their key differences. It discusses when to use each data type, the benefits of integrating both, and the challenges researchers face.

Data Analysis 52

Data Analysis Data Analysis Hypothesis Testing Data Analyst 52

Pickl AI

DECEMBER 10, 2024

For beginners, choosing the right Data Science books is a crucial first step in building a solid foundation. This article highlights the best Data Science books to kickstart your journey into this transformative field. Step-by-step tutorials with real-world Data Analysis examples.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

JULY 25, 2023

Two prominent roles that play a crucial part in this data-driven landscape are Data Scientists and Data Engineers. At the core of Data Science lies the art of transforming raw data into actionable information that can guide strategic decisions. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Ocean Protocol

FEBRUARY 15, 2024

Post3 is designed to extract and analyze data from Web3 media platforms. The Post3 platform addresses a recurring demand for searchability and data analysis in Web3 news, alerts, and digital media. Top 3 1st Place— Marco Rodrigues Marco impressed the review committee with his innovative web application, Post3 Engine.

Hypothesis Testing 52

Hypothesis Testing Predictive Analytics Data Science Business Intelligence 52

Pickl AI

APRIL 26, 2024

This article aims to guide you through the intricacies of Data Analyst interviews, offering valuable insights with a comprehensive list of top questions. Additionally, we’ve got your back if you consider enrolling in the best data analytics courses. Case Study Questions Imagine you have a dataset of customer transactions.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

OCTOBER 23, 2024

Summary: This article delves into the importance of sample size in statistical analyses, highlighting its impact on tests such as t-tests, ANOVA, regression, and Chi-Square tests. This ensures that conclusions drawn from the analysis are valid, enabling researchers to make informed predictions and decisions based on data.

Hypothesis Testing 52

Hypothesis Testing Data Analysis Data Analysis 52

Pickl AI

NOVEMBER 5, 2024

These statistics underscore the significant impact that Data Science and AI are having on our future, reshaping how we analyse data, make decisions, and interact with technology. Companies can tailor products and services to individual preferences based on extensive Data Analysis.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Pickl AI

NOVEMBER 11, 2024

The mode represents a dataset’s most frequently occurring value, offering valuable insights, mainly when data distributions vary. This article will explore the concept of mode, its calculation, applications, and significance in statistical analysis, providing a comprehensive understanding of this vital statistical measure.

Data Analysis 52

Data Analysis Data Analysis Hypothesis Testing Clustering 52

Pickl AI

NOVEMBER 27, 2024

Integrating both into Data Science workflows enhances flexibility, expands access to diverse libraries, and improves performance by leveraging the best features of each language. Python for Data Science Python has become the go-to programming language for Data Science due to its simplicity, versatility, and powerful libraries.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

The MLOps Blog

MAY 31, 2023

In this article, I will share my learnings of how successful ML platforms work in an eCommerce and what are the best practices a Team needs to follow during the course of building it. As an example for catalogue data, it’s important to check if the set of mandatory fields like product title, primary image, nutritional values, etc.

ML 59

ML ML Algorithm Machine Learning 59

Mlearning.ai

MAY 23, 2023

To land a coveted data science role, you must excel in the interview process, which often includes a series of challenging questions to assess your technical skills, problem-solving abilities, and domain knowledge. Read the full blog here —  [link] Data Science Interview Questions for Freshers 1. What is the main advantage of sampling?

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52