Remove Decision Trees Remove Hypothesis Testing Remove Natural Language Processing
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How Data Science and AI is Changing the Future

Pickl AI

AI encompasses various subfields, including Machine Learning (ML), Natural Language Processing (NLP), robotics, and computer vision. Together, Data Science and AI enable organisations to analyse vast amounts of data efficiently and make informed decisions based on predictive analytics.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Decision Trees: A supervised learning algorithm that creates a tree-like model of decisions and their possible consequences, used for both classification and regression tasks. Null Hypothesis: A statement that there is no effect or no difference, serving as the basis for statistical testing.

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Introduction to R Programming For Data Science

Pickl AI

It provides functions for descriptive statistics, hypothesis testing, regression analysis, time series analysis, survival analysis, and more. It offers a comprehensive set of built-in statistical functions and packages for hypothesis testing, regression analysis, time series analysis, survival analysis, and more.

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Best Resources for Kids to learn Data Science with Python

Pickl AI

Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, Natural Language Processing , Statistics and Mathematics. It includes regression, classification, clustering, decision trees, and more. It can be easily ported to multiple platforms.

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Data Demystified: What Exactly is Data?- 4 Types of Analytics

Pickl AI

Text Analytics (Natural Language Processing) Text analytics, also known as natural language processing (NLP), involves extracting valuable information and insights from unstructured text data, such as customer reviews, social media posts, or survey responses. Key Features: i.

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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

AI is making a difference in key areas, including automation, language processing, and robotics. Natural Language Processing: NLP helps machines understand and generate human language, enabling technologies like chatbots and translation.

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Introduction to applied data science 101: Key concepts and methodologies 

Data Science Dojo

Statistical analysis and hypothesis testing Statistical methods provide powerful tools for understanding data. Hypothesis testing, correlation, and regression analysis, and distribution analysis are some of the essential statistical tools that data scientists use.