Chapter 15 Who got No Votes after the Hidden Gem Declaration

The notebooks which got No votes after the Hidden Gem declaration are shown below

Police Policy and the Use of Deadly Force, CTDS - Subtitles exploration, MOA Recipe,Advanced EDA: New Inferences from an old dataset, Leaf doctoR: EDA ,Evaluating defender ability to limit YAC , Do Left Handed Pitchers Make More Money? got No Votes after Hidden Gem declaration

a = s %>%
  filter(is.na(Count)) %>%
  select(notebook,title,review)



a %>%
  gt() %>%
  tab_header(
    title = "No Votes after the Hidden Gem Declaration")

No Votes after the Hidden Gem Declaration
notebook	title	review
https://www.kaggle.com/jpmiller/police-policy-and-the-use-of-deadly-force	Police Policy and the Use of Deadly Force	This work addresses the timely subject of police violence. A careful EDA of the associated dataset provides a great starting point for other Kagglers to become more involved in studying this important issue.
https://www.kaggle.com/crazydiv/ctds-subtitles-exploration	CTDS - Subtitles exploration	A fresh analysis of speaking patterns and conversation flow based on the subtitle transcripts of each episode. Also note the question clustering and answer summarisation insights.
https://www.kaggle.com/kailex/moa-recipe	MOA Recipe	An elegant R tidymodels + Keras approach to building a neural network starter model. Concise and well explained
https://www.kaggle.com/allohvk/advanced-eda-new-inferences-from-an-old-dataset	Advanced EDA: New Inferences from an old dataset	Featuring prosaic narration, this Notebook converses with the all too familiar Titanic dataset to provide a starting point for beginners. This includes detailed descriptions of pandas and seaborn commands.
https://www.kaggle.com/kailex/leaf-doctor-eda	Leaf doctoR: EDA	A well-structured template showcasing the step-by-step usage of the new [torch for R framework](https://torch.mlverse.org/) on the ongoing [Leaf Disease Image classification competition](https://www.kaggle.com/c/cassava-leaf-disease-classification).
https://www.kaggle.com/ryurko21/evaluating-defender-ability-to-limit-yac	Evaluating defender ability to limit YAC	An expertly structured explanation of a framework for a specific NFL defence strategy; as submitted to the [NFL Big Data Bowl](https://www.kaggle.com/c/nfl-big-data-bowl-2021). Featuring striking visuals and level of detail.
https://www.kaggle.com/ryanburge/do-left-handed-pitchers-make-more-money	Do Left Handed Pitchers Make More Money?	We continue our baseball theme from last week with an intriguing question and its data-based answer. Note the engaging narration and the thoughtful conclusions.
https://www.kaggle.com/bamps53/bms-baseline	bms-baseline	A part of the [3rd place solution](https://www.kaggle.com/c/bms-molecular-translation/discussion/243932) for the recently concluded molecular translation competition, this Notebook showcases a transformer framework that uses TPU for significant speed boost.
https://www.kaggle.com/shtrausslearning/airfoil-noise-prediction-modeling-using-gpr	Airfoil Noise Prediction Modeling using GPR	An in-depth exploratory analysis and model building for an airflow dataset. Features well-designed plot grid layouts as well as detailed narration and interpretation of the findings.
https://www.kaggle.com/williamisley3rd/bgg-ratings-mechanics-miniatures	BGG Ratings, Mechanics & Miniatures?!	This work presents a well-narrated exploration of a [board game dataset](https://www.kaggle.com/mrpantherson/board-game-data). Detailed interpretations of visuals and tables are always helpful for a reader, and provide the flow that every good EDA needs.
https://www.kaggle.com/showeed/annoy-similar-images-ver2	[Annoy]Similar Images ver2	This work is a great example of image data cleaning and quality checks with the help of the [annoy library](https://github.com/spotify/annoy). It emphasises the importance of understanding your training data.
https://www.kaggle.com/yamqwe/g-research-tabnet-starter-notebook	G-Research: TabNet starter notebook	This work assembles a flexible experimentation setup for the ongoing [Crypto Forecasting competition](https://www.kaggle.com/c/g-research-crypto-forecasting). The different steps are cleanly separated and well documented; including a custom CV split.
https://www.kaggle.com/irenashen1/capstone-bellabeat-case-study-r	Capstone: Bellabeat Case Study | R	An in-depth investigation of fitness tracker data that showcases great structure and interesting visuals. Note the final section that aims to derive actionable recommendations.