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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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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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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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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.