Learn Decision Trees
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Machine Learning Basics
Machine Learning Basics
By: Hiba HMD
Basics, Classification, Regression6Decks53Flashcards1Learner -
Business
Business
By: Lucy sharrock
Enterprise, business sectors, types of businesses101Decks362Flashcards2Learners -
Business
Business
By: monica Puntmann
1.2 Types of Business Entities, 1.3, 1.431Decks324Flashcards1Learner -
Business Theme 3
Business Theme 3
By: Shai Nicholas
Theme 3.1.1-3.1.4, Theme 3 Formula, Theme 3.3.1 Sales Forecasting8Decks93Flashcards2Learners -
Data Science - from ChatGPT
Data Science - from ChatGPT
By: Noah Green
Data Science Terminology - assorted topics, Data Science Risk Management, Machine Learning Lifecycle67Decks729Flashcards1Learner -
3.3 Decision Making Tools
3.3 Decision Making Tools
By: Aenon Decordova
3.3.1 Quantitative Sales Forecasting, 3.3.2 Investment Appraisal, 3.3.3 Decision Trees4Decks31Flashcards1Learner -
Data Science
Data Science
By: Krystian Owczarek
Baby Steps, Regularization, Feature Selection4Decks69Flashcards1Learner -
Business theme 3
Business theme 3
By: Megan Price
3.1.1- corporate objectives, 3.1.2- corporate strategy, 3.1.2- corporate strategy p223Decks150Flashcards1Learner -
Machine Learning
Machine Learning
By: LearnNew EachDay
Introduction, Seven Steps of Machine Learning, Plain and Simple Estimators8Decks25Flashcards4Learners -
business theme three
business theme three
By: abi digger
3.1.1 corporate objectives, 3.1.2 theories of corporate strategy, 3.1.3 swot analysis22Decks251Flashcards1Learner -
Data Science from Scratch with Python
Data Science from Scratch with Python
By: Thomas Reinecke
Python Basics for Data Science, Statistics, Probability16Decks84Flashcards1Learner -
Business Theme 2 LT
Business Theme 2 LT
By: Lucy Tilney
3.1.1 Corporate objectives, 3.1.2 Theories of corporate strategy, 3.1.3 SWOT analysis22Decks112Flashcards2Learners -
ML Expert
ML Expert
By: Kelvin Waters
Introduction, Prerequistes, SL Naive Bayes classifier10Decks44Flashcards1Learner -
Udacity
Udacity
By: Justin Roethle
Intro Material, Statistics, Evaluating Model Performance5Decks52Flashcards1Learner -
Machine Learning 1
Machine Learning 1
By: doppel sechs
Bayesian Decision Theory, Parameter Estimation, Principal Component Analysis12Decks53Flashcards1Learner -
Business Intelligence and Analytics
Business Intelligence and Analytics
By: Parish Hada
Clustering, Classification and ROC, Decision Tree3Decks34Flashcards1Learner -
Business theme 3
Business theme 3
By: Paddy Catlin Brown
Corporate Objectives, Corporate stratergies, Ansoff's Matrix17Decks122Flashcards1Learner -
Statistics
Statistics
By: Gabriela Ilewicz
Probability, Statistical Inference & Wilcoxon Rank Sum, Wilcoxon Matched Pairs16Decks119Flashcards1Learner -
Advanced Machine Learning
Advanced Machine Learning
By: Viktor Karlsson
Support Vector Machines, Decision trees / ensemble methods, Non-linearity5Decks22Flashcards1Learner -
Tecnico, Decision support models
Tecnico, Decision support models
By: Johanna Nylander
T1, Introduction, T2, Decision trees, influence diagrams & payoff, T3, Bayesian Nets16Decks133Flashcards1Learner -
Quant
Quant
By: Akanksha Singh
Scenario Analysis, Decision Trees, And Simulation, Multiple Regression & Issues In Regression Analysis, Correlation & Regression4Decks23Flashcards2Learners -
Business Leadership- Mrs Berry
Business Leadership- Mrs Berry
By: Laila Charlton
Leadership And Managment, Managment And Leadership Style, Decision Trees3Decks15Flashcards1Learner -
Code of practice
Code of practice
By: Venus Ngai
Consent, Domestic Abuse + Sexual abuse, Supervision of OTA and OT student14Decks65Flashcards1Learner -
ML
ML
By: R C
Decision Trees1Decks64Flashcards1Learner -
Data Mining
Data Mining
By: Juan Carlos Jaramillo
Data Preparation, Text Mining, Credibility: Robust Evaluation Models12Decks104Flashcards1Learner -
Business Edexcel A2
Business Edexcel A2
By: Rebecca Brittain
3.2.1 Growth, 3.2.3 Mergers and takeovers, 3.1.1 Corporate objectives, 3.1.2 Theories of corporate strategy, 3.2.2 Organic growth, 3.2.4 Reasons for staying small24Decks127Flashcards12Learners -
Business Theme 3
Business Theme 3
By: ruby may
Corporate Objectives 3.1.1, Theories of Corporate Strategy 3.1.2, SWOT analysis 3.1.315Decks131Flashcards1Learner -
Hands on Machine Learning with Tensorflow and Keras, 3rd Addition
Hands on Machine Learning with Tensorflow and Keras, 3rd Addition
By: Thomas P O'Connor
Chapter 1: The Machine Learning Landscape, Chapter 2: End-to-End Machine Learning Project, Chapter 3: Classification7Decks47Flashcards1Learner -
Machine Learning
Machine Learning
By: Toni Toyobo
Week 1: Data and KNN, Week 2: Decision Trees2Decks40Flashcards1Learner -
Business Edexcel A2
Business Edexcel A2
By: Ruth Ryan
KT1: 3.2.1 Growth, 3.2.2 Mergers and Takeovers, KT2: 3.1.1 Corporate Objectives, 3.1.2. Theories of Corporate Strategy, KT3: 3.2.3 Organic Growth, 3.2.4 Reasons for Staying Small24Decks93Flashcards11Learners