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contribution guidelines checks (#1787)

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* spelling corrections

* review

* improved documentation, removed redundant variables, added testing

* added type hint

* camel case to snake case

* spelling fix

* review

* python --> Python # it is a brand name, not a snake

* explicit cast to int

* spaces in int list

* "!= None" to "is not None"

* Update comb_sort.py

* various spelling corrections in documentation & several variables naming conventions fix

* + char in file name

* import dependency - bug fix

Co-authored-by: John Law <johnlaw.po@gmail.com>
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matkosoric
2020-03-04 13:40:28 +01:00
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parent 2b19e84767
commit 7f04e5cd34
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machine_learning/linear_regression.py
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"""
Linear regression is the most basic type of regression commonly used for
predictive analysis. The idea is pretty simple, we have a dataset and we have
a feature's associated with it. The Features should be choose very cautiously
as they determine, how much our model will be able to make future predictions.
We try to set these Feature weights, over many iterations, so that they best
fits our dataset. In this particular code, i had used a CSGO dataset (ADR vs
predictive analysis. The idea is pretty simple: we have a dataset and we have
features associated with it. Features should be chosen very cautiously
as they determine how much our model will be able to make future predictions.
We try to set the weight of these features, over many iterations, so that they best
fit our dataset. In this particular code, I had used a CSGO dataset (ADR vs
Rating). We try to best fit a line through dataset and estimate the parameters.
"""
import requests