Learn Logistic Regression
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ACIT4630 - ML/DL
ACIT4630 - ML/DL
By: Rikard Donnelly
ML-01 - ML-01-Introduction and linear regression, ML-02 - Logistic regression & classification, ML-03 - Regularization in regression ...18Decks701Flashcards6Learners -
Prediction Modelling
Prediction Modelling
By: Naomi L
Introduction Class Part 1, Introduction Class 2, GLM 1 - Simple linear regression ...13Decks343Flashcards2Learners -
2020 Research Methods
2020 Research Methods
By: Max I
L2 - Thematic Analysis, L3 - Discourse Analysis (not needed), L4 - Nonparametrics ...9Decks331Flashcards5Learners -
Epidemiology
Epidemiology
By: Birwe Leon
Measures of Association, Surveillance and Trends, Standardization and Life Tables ...13Decks327Flashcards1Learner -
MRes Advanced Quantitative Exam
MRes Advanced Quantitative Exam
By: Thomas Hein
Logistic Regression, Sampling - ReSampling Methods, Bayes ...5Decks318Flashcards6Learners -
a PR3144
a PR3144
By: del neo
LEC 1 Introduction To Research & Scientific Methods, LEC 2 Developing Research Questions & Study Plan, LEC 4 Statistics ...24Decks632Flashcards1Learner -
493: Probabilistic inference
493: Probabilistic inference
By: Patrick Henriksen
Graphical models, Gaussian Processes, Bayesian optimization ...7Decks151Flashcards8Learners -
Basic Stats
Basic Stats
By: Amelia Jasinski
Week 1: Exploratory Data Analysis & Basic Statistics, Week 2: Normal Distribution, Inference, and Confidence Intervals, Week 3: Hypothesis Testing and Significance ...11Decks310Flashcards3Learners -
DAPR 2
DAPR 2
By: Emily Etty
1. Introduction to Linear Model, 2. Multiple Regression, 3. Testing and Evaluating Linear Models ...18Decks357Flashcards3Learners -
z. Honours Stats Revision
z. Honours Stats Revision
By: Catherine Gilbert
week 3 Data Cleaning (text books), Week 4 ANCOVA, Week 11 Reporting & Interpreting Qualitative Research ...23Decks637Flashcards17Learners -
statistics
statistics
By: Lucie Netscher
populations, samples and normal distribution, standard error and confidence intervals, significance and regression coeffeicent ...7Decks127Flashcards1Learner -
PSYC4050: Research Methodology IV
PSYC4050: Research Methodology IV
By: Michello Condollini
Lecture 2: Missing Data (Alt 2), Lecture 3: Regression Assumptions Alt 2, Lecture 4: Exploratory Factor Analysis (Alternate) ...25Decks392Flashcards2Learners -
Data Science & Big Data Analytics
Data Science & Big Data Analytics
By: Tom Burgoyne
01. Introduction to Big Data Analytics, 12. The Endgame, or Putting It All Together, 11. SQL Essentials & Advanced ...14Decks231Flashcards42Learners -
PSYC4050
PSYC4050
By: Emma Richmond-Darvill
Wk 3 - EFA 1, Wk 4 - EFA 2, Wk 5 - CFA ...10Decks332Flashcards5Learners -
AI2 module
AI2 module
By: Saabarin Dirie
AI2 lecture 1 -> Uncertainty, maximum likelihood, search ...18Decks243Flashcards1Learner -
NUR4103B
NUR4103B
By: Unknown Unknown
Sampling and data collection, reliability, experimental studies ...10Decks186Flashcards1Learner -
MMB8101 - Statisitics
MMB8101 - Statisitics
By: Emma Cairns
Topic 1 - Populations, Samples and Normal Distributions, Topic 2 - Standard Errors, Confidence Intervals and T-tests., Linear regression and logistic regression ...8Decks91Flashcards2Learners -
365 Data Science - Machine Learning in Python
365 Data Science - Machine Learning in Python
By: R W
Linear Regression, Logistic Regression, Cluster Analysis3Decks94Flashcards4Learners -
24-25 RMS
24-25 RMS
By: Nagisa 528
Lecture 1: Research Methods, Lecture 2A: Sampling Techniques, Lecture 2C: Levels of Measurement ...38Decks648Flashcards1Learner -
Predictive Analytics
Predictive Analytics
By: Fra Argenziano
Intro, Basic Data Analysis, Data Preparation ...9Decks61Flashcards1Learner -
Machine Learning
Machine Learning
By: Laura Ellicott
Supervised Learning, Logistic Regression, Likelihood ...17Decks187Flashcards2Learners -
psy4401
psy4401
By: Priya Johar
Module 3 - Logistic Regression1Decks25Flashcards6Learners -
Foundations Of ML
Foundations Of ML
By: Claudio Saponaro
Intro To Linear Regression + General, Logistic Regression2Decks24Flashcards1Learner -
DABN13: Machine Learning
DABN13: Machine Learning
By: Paula Nordahl
Week 1: Introduction & Overview, Week 2: Learning Linear & Logistic Regression, Week 3: Performance Evaluation ...8Decks203Flashcards2Learners -
Y1S2_IT1244
Y1S2_IT1244
By: Faith Yeo
CHAP 1 : Intro to AI, CHAP 2 : AI OPPORTUNITIES, CHAP 3 : Search Techniques (uninformed) ...12Decks296Flashcards1Learner -
GOV 321
GOV 321
By: Mari Bardsen
Philosophies and stand points, Sampling, Measurement ...12Decks137Flashcards1Learner -
Big Data Analytics
Big Data Analytics
By: Sandie Huang
Project Questions, L1: Course Introduction, L:2 Data Handling ...11Decks296Flashcards2Learners -
Research Methods and Stats 4
Research Methods and Stats 4
By: Hannah Bricklebank
1. Thematic Analysis, 2. Grounded Theory, Interpretative Phenomenological Analysis ...10Decks141Flashcards1Learner -
CS 478
CS 478
By: Katherine Fadeyeva
Text Tokenization, N-gram Modeling, Logistic Regression ...14Decks198Flashcards1Learner -
Introduction to Research Methods in Statistics
Introduction to Research Methods in Statistics
By: Matthew Cohen
Practical 1, Lecture 2: sampling and confidence, Lecture 3: hypothesis testing ...10Decks140Flashcards5Learners