Kwanit Gupta
Kwanit Gupta
Reference :- https://towardsdatascience.com/regression-tree-in-python-from-scratch-9b7b64c815e3
References :- https://www.section.io/engineering-education/linear-discriminant-analysis/ https://youtu.be/9IDXYHhAfGA
References :- https://machinelearningmastery.com/how-to-code-the-students-t-test-from-scratch-in-python/
References ;- https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.DistanceMetric.html ---> (A Guide for various distance metrics, so just refer the mathematical formulas, then implement here) https://aigents.co/blog/publication/distance-metrics-for-machine-learning https://machinelearningmastery.com/distance-measures-for-machine-learning/ https://towardsdatascience.com/importance-of-distance-metrics-in-machine-learning-modelling-e51395ffe60d
After Numerical Outlier Method, other "Anomaly Detection" Methods are also required to be implemented as well. Below are some of the Resources:- https://archive.siam.org/meetings/sdm10/tutorial3.pdf https://www.analyticsvidhya.com/blog/2019/02/outlier-detection-python-pyod/
**Is your feature request related to a problem? Please describe.** As a beginner, while witnessing the ReadMe Section, it should be pretty clear about Algorithms / Tools. **Describe the solution...
Reference (An introductory one) :- https://www.analyticsvidhya.com/blog/2020/02/4-boosting-algorithms-machine-learning/
Aim :- Make Bagging convenient according to the Base_Estimator_Model (Linear Regression, Decision Tree, SVMs, etc.) and according to their numbers too. References :- https://machinelearningmastery.com/implement-bagging-scratch-python/
Reference :- https://towardsdatascience.com/hidden-markov-model-implemented-from-scratch-72865bda430e
To be Dealt after #144 Issue. **Is your feature request related to a problem? Please describe.** Models.py will tend to increase, as more models will get included, which seems to...