Linearregression model - Study guides, Revision notes & Summaries

QMB 3302 Final Verified A+ NLP stands for ️️Natural Language Processing Tokenization, as defined in the lecture is... ️️a computer turning letters and/or words into something it can read and understand, like numbers Recommenders come in many flavors. 2 of the most common, often used together and discussed in the lecture are: ️️1) Item Based 2) User Based Imagine you have a dataset with 2 columns, both filled with continuous numbers. You believe the first column is a p...

5 steps to building a machine learning model - 1. choosing a class of model 2. choose hyperparameters 3. arrange data 4. fit the model 5. predict a silhouette score of 1 is the [best/worst] and -1 is the [best/worst] score - best, worst basic idea of regression - we have some X values called features and some Y value, the variable we are trying to predict Difference between unsupervised and supervised learning - unsupervised: you have an X but no Y supervised: you have an X and a Y Ima...

This summary contains key takeaways, main ideas and concepts, formulas from each of the topics covered throughout the year (both Michaelmas and Lent Terms). The following summary gives an overall view of the MG205 Econometrics course, as well as a solid base for exam revisions allowing you to consolidate your knowledge without going over...AGAIN... a thousand slides provided by the teacher. The topics summarised are: The Linear Regression Model, MultipleRegression, Inference, Functional Form, ...