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