Data Analysis, Decision Trees and Supervised Learning

Data Analysis

Decision Trees

Supervised Learning

Problem-solving tools offered by digital technology

Data Science Dojo

FEBRUARY 15, 2023

Zheng’s “Guide to Data Structures and Algorithms” Parts 1 and Part 2 1) Big O Notation 2) Search 3) Sort 3)–i)–Quicksort 3)–ii–Mergesort 4) Stack 5) Queue 6) Array 7) Hash Table 8) Graph 9) Tree (e.g.,

K-nearest Neighbors

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Multi-class classification

Dataconomy

APRIL 25, 2025

Understanding classification In machine learning, classification is a supervised learning task that is fundamental for organizing and interpreting data. The objective is to construct models that can accurately predict the class of new, unseen data, making classification a cornerstone of data analysis.

K-nearest Neighbors

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Trending Sources

Decision Trees and Random Forests in KNIME

phData

MAY 19, 2023

This post will delve into one of the many facets of KNIME’s capabilities –building predictive models using decision trees and random forests. These algorithms are not just fundamental to any data scientist’s toolkit, but they also form the backbone of many complex machine learning workflows.

Decision Trees

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Supervised learning vs Unsupervised learning

Pickl AI

APRIL 3, 2023

Therefore, Supervised Learning vs Unsupervised Learning is part of Machine Learning. Let’s learn more about supervised and Unsupervised Learning and evaluate their differences. What is Supervised Learning? What is Unsupervised Learning?

Supervised Learning

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Binary classification

Dataconomy

APRIL 29, 2025

Binary classification is a supervised learning method designed to categorize data into one of two possible outcomes. This approach is crucial in the realms of data analysis, enabling decisions that affect real-world applications, such as healthcare, finance, and customer service.

Support Vector Machines

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Supercharge your skill set with 9 free machine learning courses

Data Science Dojo

JUNE 1, 2023

The course covers topics such as linear regression, logistic regression, and decision trees. Machine Learning for Absolute Beginners by Kirill Eremenko and Hadelin de Ponteves This is another beginner-level course that teaches you the basics of machine learning using Python.

Machine Learning

Machine Learning Machine Learning Natural Language Processing Deep Learning

Five machine learning types to know

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Supervised machine learning Supervised machine learning is a type of machine learning where the model is trained on a labeled dataset (i.e.,

Machine Learning

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Journey to AI blog

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

Machine Learning

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Exploring the dynamic fusion of AI and the IoT

Dataconomy

MAY 25, 2023

Here are some ways AI enhances IoT devices: Advanced data analysis AI algorithms can process and analyze vast volumes of IoT-generated data. By leveraging techniques like machine learning and deep learning, IoT devices can identify trends, anomalies, and patterns within the data.

Internet of Things

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From Pixels to Places: Harnessing Geospatial Data with Machine Learning.

Towards AI

APRIL 4, 2024

A sector that is currently being influenced by machine learning is the geospatial sector, through well-crafted algorithms that improve data analysis through mapping techniques such as image classification, object detection, spatial clustering, and predictive modeling, revolutionizing how we understand and interact with geographic information.

K-nearest Neighbors

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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

JULY 12, 2024

Scikit-learn: A simple and efficient tool for data mining and data analysis, particularly for building and evaluating machine learning models. TensorFlow and Keras: TensorFlow is an open-source platform for machine learning.

Artificial Intelligence

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Understanding and Building Machine Learning Models

Pickl AI

NOVEMBER 18, 2024

The main types are supervised, unsupervised, and reinforcement learning, each with its techniques and applications. Supervised Learning In Supervised Learning , the algorithm learns from labelled data, where the input data is paired with the correct output. predicting house prices).

Machine Learning

Machine Learning Machine Learning Algorithm Decision Trees

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

SEPTEMBER 12, 2024

Data Cleaning: Raw data often contains errors, inconsistencies, and missing values. Data cleaning identifies and addresses these issues to ensure data quality and integrity. Data Visualisation: Effective communication of insights is crucial in Data Science.

Data Analyst

Data Analyst Data Science Machine Learning Machine Learning

Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. Explain the difference between supervised and unsupervised learning.

Data Analyst

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Understand The Difference Between Machine Learning and Deep Learning

Pickl AI

FEBRUARY 7, 2025

Features : The attributes or characteristics of the data used to make predictions. Types of Machine Learning Machine Learning is divided into three main types based on how the algorithm learns from the data: Supervised Learning In supervised learning , the algorithm is trained on labelled data.

Deep Learning

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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis.

Machine Learning

Machine Learning Machine Learning Data Science Big Data

Must-Have Skills for a Machine Learning Engineer

Pickl AI

NOVEMBER 28, 2024

These techniques span different types of learning and provide powerful tools to solve complex real-world problems. Supervised Learning Supervised learning is one of the most common types of Machine Learning, where the algorithm is trained using labelled data.

Machine Learning

Machine Learning Machine Learning ML ML

Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. These components solve complex problems and drive decision-making in various industries.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Data Science Machine Learning

Data Science Current

Problem-solving tools offered by digital technology

Multi-class classification

Trending Sources

Decision Trees and Random Forests in KNIME

Supervised learning vs Unsupervised learning

Binary classification

Supercharge your skill set with 9 free machine learning courses

Five machine learning types to know

Anomaly detection in machine learning: Finding outliers for optimization of business functions

Exploring the dynamic fusion of AI and the IoT

From Pixels to Places: Harnessing Geospatial Data with Machine Learning.

Artificial Intelligence Using Python: A Comprehensive Guide

Understanding and Building Machine Learning Models

Basic Data Science Terms Every Data Analyst Should Know

Top 50+ Data Analyst Interview Questions & Answers

Top 10 Data Science Interviews Questions and Expert Answers

Understand The Difference Between Machine Learning and Deep Learning

Data science vs. machine learning: What’s the difference?

Must-Have Skills for a Machine Learning Engineer

Understanding the Synergy Between Artificial Intelligence & Data Science

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