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. Scikit-learn covers various classification , regression , clustering , and dimensionality reduction algorithms.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

OCTOBER 15, 2024

Hypothesis Testing : Statistical Models help test hypotheses by analysing relationships between variables. These models help in hypothesis testing and determining the relationships between variables. Bayesian models and hypothesis tests (like t-tests or chi-square tests) are examples of inferential models.

Decision Trees 52

Decision Trees Hypothesis Testing Clustering Data Analysis 52

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

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

NOVEMBER 5, 2024

This article explores the definitions of Data Science and AI, their current applications, how they are shaping the future, challenges they present, future trends, and the skills required for careers in these fields. Mastery of these tools allows Data Scientists to efficiently process large datasets and develop robust models.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

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. These models may include regression, classification, clustering, and more.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

MAY 30, 2024

This article will explore these cycles, from data acquisition to deployment and monitoring. Techniques like regression analysis, hypothesis testing , and clustering help uncover patterns and relationships within the data. Data Science and Data Analysis play pivotal roles in today’s digital landscape.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52