**Daily update | 10 January, 2022**

# Medium

#### Rolling in the deep with Deepnote

**Author:** Kush Ojha**Claps:** 150**Source:** data-science**Description:** After changing my operating system to Linux, I found it rather clunky to set up Anaconda and run Jupyter Notebooks. This made me look for a…

#### Top 20 Data Science Interview Questions and Answers to Beat the Odds

**Author:** Andrew Lombarti**Claps:** 128**Source:** machine-learning**Description:** Questions and answers that will help you get that career changing data science job!

#### Essential Questions to Ask Before Starting a Data Science Project

**Author:** Shahwaiz Punjwani**Claps:** 113**Source:** data-science**Description:** How to make sure your data science project gets a good start

#### Foundation of Machine learning - 1

**Author:** Sarthak Malik**Claps:** 51**Source:** machine-learning**Description:** Hola, Machine learning lovers!

#### Linear Regression | Machine Learning (From Scratch)

**Author:** Kishan Modasiya**Claps:** 43**Source:** machine-learning**Description:** In Machine Learning, Linear Regression is one of the easiest and most popular algorithm. Check it out…

# StackExchange

#### Real world performance of p<0.005 compared with 0.05

**Source:** stats**Views:** 54**Score:** 4**Tags:** statistical-significance

#### Why is dimensionality reduction used if it almost always reduces the explained variation?

**Source:** stats**Views:** 31**Score:** 4**Tags:** machine-learning

#### Expected Value and Indicator Random Variable

**Source:** stats**Views:** 53**Score:** 3**Tags:** probability expected-value indicator-function

#### Is there a metric that combines recall and precision other than the F1 score?

**Source:** stats**Views:** 19**Score:** 2**Tags:** machine-learning probability classification

#### Vectors orthogonality reduced to inner product

**Source:** cs**Views:** 11**Score:** 2**Tags:** algorithms complexity-theory reductions combinatorics satisfiability