**Daily update | 11 November, 2021**

# Medium

#### Five of the Best Data Science Projects from 2021

**Author:** Terence Shin**Claps:** 253**Source:** data-science**Description:** A Curated List of the Best Kaggle Notebooks from 2021

#### 4 Awesome Pandas Methods To Quickly Analyze Any Dataset

**Author:** Suraj Gurav**Claps:** 211**Source:** data-science**Description:** ..Learn How To Surprisingly Speed Up Exploratory Data Analysis (EDA)!

#### Five Advanced Plots in Python — Matplotlib

**Author:** Rashida Nasrin Sucky**Claps:** 124**Source:** artificial-intelligence**Description:** Interactive 3d Plots with Examples

#### Precision and Recall Made Simple

**Author:** Zeya**Claps:** 71**Source:** machine-learning**Description:** Making precision and recall easy to understand with simple example, step-by-step explanation and animated GIFs

#### Handling Missing data in Machine Learning

**Author:** Devin Soni 👑**Claps:** 61**Source:** data-science**Description:** How to deal with missing data while building ML models

# StackExchange

#### Age is given partly as a continuous and partly as a categorical variable

**Source:** stats**Views:** 213**Score:** 13**Tags:** r regression categorical-data references

#### In GD-optimisation, if the gradient of the error function is w.r.t to the weights, isn't the target value dropped since it's a lone constant?

**Source:** stats**Views:** 795**Score:** 7**Tags:** neural-networks gradient-descent gradient inverse-problem automatic-differentiation

#### In backpropagation, if the gradient of the error function is w.r.t to the weights, isn't the target value dropped since it's a lone constant?

**Source:** stats**Views:** 472**Score:** 4**Tags:** neural-networks error gradient-descent backpropagation gradient

#### How to classify using incomplete features

**Source:** datascience**Views:** 359**Score:** 4**Tags:** classification

#### How to normalize input of neural network if you don't know the data in advance

**Source:** stats**Views:** 12**Score:** 3**Tags:** neural-networks normalization