Pickl AI

OCTOBER 14, 2024

Summary: This article explores different types of Data Analysis, including descriptive, exploratory, inferential, predictive, diagnostic, and prescriptive analysis. This article explores the different types of Data Analysis, highlighting their methods and real-world applications.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Pickl AI

NOVEMBER 4, 2024

This article will guide you through effective strategies to learn Python for Data Science, covering essential resources, libraries, and practical applications to kickstart your journey in this thriving field. Perform exploratory Data Analysis (EDA) using Pandas and visualise your findings with Matplotlib or Seaborn.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

MAY 30, 2024

This article will explore these cycles, from data acquisition to deployment and monitoring. Also Read: Explore data effortlessly with Python Libraries for (Partial) EDA: Unleashing the Power of Data Exploration. By checking patterns, distributions, and anomalies, EDA unveils insights crucial for informed decision-making.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Becoming Human

MAY 15, 2023

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. In Inferential Statistics, you can learn P-Value , T-Value , Hypothesis Testing , and A/B Testing , which will help you to understand your data in the form of mathematics. What to do next?

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Pickl AI

JULY 25, 2023

In this comprehensive article, we will delve into the differences between Data Science and Data Engineering, explore the roles and responsibilities of Data Scientists and Data Engineers, and address some frequently asked questions in the domain. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 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. This article aims to equip you with a solid foundation of essential Data Science terms, empowering you to navigate the industry confidently.

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. Exploratory data analysis The purpose of having an EDA layer is to find out any obvious error or outlier in the data. But how to build it?

ML 59

ML ML Algorithm Machine Learning 59