#linear-regression

Using a multivariable linear regression model to predict the sprint speed of players in FIFA 19
▻https://hackernoon.com/using-a-multivariable-linear-regression-model-to-predict-the-sprint-spee

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Using a multivariate linear regression model to predict the sprint speed of players in FIFA 19FIFA 19 Source: Express.co.ukI play FIFA games occasionally but classify myself as a relatively strong player who wins more often than not against other casual players. I am not a huge soccer fan in general and do not try and play a strategic game. Instead I rely heavily on player sprint speed and making unpredictable runs and turns. I often combine these skills to find and make spaces in my opponents space and dribble my way to a victory - much to the frustration of my opponent. Given this backdrop, I decided to download the FIFA19 dataset from Kaggle with the intention of predicting player sprint speed based on variables/features that I believed would best predict a player’s sprint (...)

#python #algorithms #machine-learning #data-science #linear-regression

Visualizing Linear Regression with #pytorch
▻https://hackernoon.com/visualizing-linear-regression-with-pytorch-9261f49edb09?source=rss----3a

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Linear regression is a common machine learning technique that predicts a real-valued output using a weighted linear combination of one or more input values.For instance, the sale price of a house can often be estimated using a linear combination of features such as area, number of bedrooms, number of floors, date of construction etc. Mathematically, it can be expressed using the following equation:house_price = w1 area + w2 n_bedrooms + w3 n_floors + ... + w_n age_in_years + bThe “learning” part of linear regression is to figure out a set of weights w1, w2, w3, ... w_n, b that leads to good predictions. This is done by looking at lots of examples one by one (or in batches) and adjusting the weights slightly each time to make better predictions, using an optimization technique (...)

#visualization #linear-regression #machine-learning #python