### A Data Scientist’s Guide to 8 Types of Sampling Techniques

Overview Sampling is a popular statistical concept – learn how it works in this article We will also talk about eight different types of …

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Overview Sampling is a popular statistical concept – learn how it works in this article We will also talk about eight different types of …

Overview What is p-value? Where is it used in data science? And how can we calculate it? We answer all these questions and more …

Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at …

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, …

Overview Curious how the big product companies like Amazon, Walmart, AirBnb, etc. manage the ratings we see? The core idea behind these ratings systems …

Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, …

Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, …

What is the central limit theorem? What are it’s applications? And how can you implement the central limit theorem in R? Find out in this article!

This learning path is aimed toward those people who want to become a data scientist in 2019, and includes resources like courses, guides and much more!

Introduction So you love reading but can’t afford to splurge too much money on books? Quite a lot of the data science and machine …

Rank | Name | Points | |
---|---|---|---|

1 | Tezdhar | 5208 | |

2 | Sahil Verma | 4413 | |

3 | SRK | 3664 | |

4 | Denis Vorotyntsev | 3361 | |

5 | vopani Rao | 3339 |

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