Remove Decision Trees Remove Events Remove Hypothesis Testing
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Cracking the Code: An Introduction to Mathematics for Machine Learning

Pickl AI

Statistics enables data interpretation, hypothesis testing, and model evaluation. It deals with quantifying the likelihood of events occurring. Event: A subset of the sample space. Probability: A number between 0 and 1 assigned to an event, representing its likelihood. P(A|B) = [P(B|A) * P(A)] / P(B).

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Statistical Modeling: Types and Components

Pickl AI

This is especially useful in finance and weather forecasting, where predictions guide decision-making. Hypothesis Testing : Statistical Models help test hypotheses by analysing relationships between variables. They identify patterns in existing data and use them to predict unknown events.

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Data Analysis vs. Data Visualization – More Than Just Pretty Charts

Pickl AI

Hypothesis Testing: Formally testing assumptions or theories about the data using statistical methods to determine if observed patterns are statistically significant or likely due to chance. Modeling: Build a logistic regression or decision tree model to predict the likelihood of a customer churning based on various factors.

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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. Joint Probability: The probability of two events co-occurring, often used in Bayesian statistics and probability theory.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

Decision trees are more prone to overfitting. Underfitting: Here, the model is so simple that it is not able to identify the correct relationship in the data, and hence it does not perform well even on the test data. Some algorithms that have low bias are Decision Trees, SVM, etc. character) is underlined or not.

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

Pickl AI

Diagnostic Analytics Diagnostic analytics goes further than descriptive analytics by focusing on why certain events occurred. Predictive analytics helps forecast potential scenarios and understand likely future events by analysing patterns and trends.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Students should understand the concepts of event-driven architecture and stream processing. Statistical Analysis Introducing statistical methods and techniques for analysing data, including hypothesis testing, regression analysis, and descriptive statistics. Knowledge of RESTful APIs and authentication methods is essential.