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Classification vs. Clustering

Pickl AI

Decision Trees Decision Trees are non-linear model unlike the logistic regression which is a linear model. The use of tree structure is helpful in construction of the classification model which includes nodes and leaves. Consequently, each brand of the decision tree will yield a distinct result.

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Five machine learning types to know

IBM Journey to AI blog

Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others. Naïve Bayes algorithms include decision trees , which can actually accommodate both regression and classification algorithms.

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Elevating business decisions from gut feelings to data-driven excellence

Dataconomy

It leverages the power of technology to provide actionable insights and recommendations that support effective decision-making in complex business scenarios. At its core, decision intelligence involves collecting and integrating relevant data from various sources, such as databases, text documents, and APIs.

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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

Public Datasets: Utilising publicly available datasets from repositories like Kaggle or government databases. Decision Trees Decision trees recursively partition data into subsets based on the most significant attribute values. Web Scraping : Extracting data from websites and online sources.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Key Components of Data Science Data Science consists of several key components that work together to extract meaningful insights from data: Data Collection: This involves gathering relevant data from various sources, such as databases, APIs, and web scraping. Data Cleaning: Raw data often contains errors, inconsistencies, and missing values.

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Understanding and Building Machine Learning Models

Pickl AI

Structured data refers to neatly organised data that fits into tables, such as spreadsheets or databases, where each column represents a feature and each row represents an instance. Selecting an Algorithm Choosing the correct Machine Learning algorithm is vital to the success of your model. For a regression problem (e.g.,

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Unravelling the Buzzwords: Artificial Intelligence vs Deep Learning Explained

Pickl AI

Think of “expert systems” from the 1980s, designed to mimic the decision-making ability of a human expert in a specific domain (like medical diagnosis or financial planning). These systems used vast databases of knowledge and complex if-then rules coded by humans.