Machine Learning Useful Links

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In this guide I am sharing some useful links related to Machine Learning and Algorithms. These tutorial will help anyone preparing for ML algorithm or learning about ML in general.

Machine Learning:
https://www.edureka.co/blog/interview-questions/machine-learning-interview-questions/

https://www.springboard.com/blog/machine-learning-interview-questions/

https://www.analyticsvidhya.com/blog/2016/09/40-interview-questions-asked-at-startups-in-machine-learning-data-science/

Confusion Matrix:
https://towardsdatascience.com/beyond-accuracy-precision-and-recall-3da06bea9f6c

https://www.kdnuggets.com/2020/01/guide-precision-recall-confusion-matrix.html#:

Logistic Regression:

https://www.datacamp.com/community/tutorials/understanding-logistic-regression-python

Decision Tree:

https://www.edureka.co/blog/decision-trees/

https://www.geeksforgeeks.org/decision-tree-introduction-example/

Random Forest:

https://towardsdatascience.com/an-implementation-and-explanation-of-the-random-forest-in-python-77bf308a9b76

https://www.analyticsvidhya.com/blog/2015/06/tuning-random-forest-model/#:~:text=n_estimators%20%3A,but%20makes%20your%20code%20slower.

Naive Bayes:

https://www.analyticsvidhya.com/blog/2017/09/naive-bayes-explained/#:~:text=It%20is%20a%20classification%20technique,presence%20of%20any%20other%20feature.

https://www.geeksforgeeks.org/naive-bayes-classifiers/

K-Nearest Neighbor:

https://www.kdnuggets.com/2020/04/introduction-k-nearest-neighbour-algorithm-using-examples.html

https://www.tutorialspoint.com/machine_learning_with_python/machine_learning_with_python_knn_algorithm_finding_nearest_neighbors.htm

https://towardsdatascience.com/machine-learning-basics-with-the-k-nearest-neighbors-algorithm-6a6e71d01761#:~:text=Summary-,The%20k%2Dnearest%20neighbors%20(KNN)%20algorithm%20is%20a%20simple,both%20classification%20and%20regression%20problems.&text=Finally%2C%20we%20looked%20at%20an,an%20application%20of%20KNN%2Dsearch.

Neural Networks:

https://towardsdatascience.com/machine-learning-for-beginners-an-introduction-to-neural-networks-d49f22d238f9

A/B Testing:

https://medium.com/@robbiegeoghegan/implementing-a-b-tests-in-python-514e9eb5b3a1

This guide wiil help you out in many way, I used it so I thought its a good time to share it with other. If you want to add something do let me know in comment. Thanks!


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