Name			Followers
	3-D point clouds objects detection and classification	Graph connected components	0
	Data: Science & Engineering	In our fast paced, data driven world, we are faced with the challenge of developing agile software that can evolve with emerging technologies and do its work each time faster. Whether is engineering the data flow or running ML models to extract results, we have to handle our data	0
	The Sports Slaughterhouse	The Sports Slaughterhouse takes some aspect of sports and chops it into fine little pieces until you can’t even recognize it anymore.	0
	CDO by AlphaConverge	AlphaConverge is a consulting firm, top expert in digital/data science from other leading management consulting firms like Accenture. Guest author on top publications. CDO offers insights to help C-level leaders to navigate the pandemic.	0
	AlayaLabs	AlayaLabs, AlayaCare’s R&D Department, is a strategic group that helps deliver innovation and product strategy at AlayaCare. Our goal is to leverage proven and emerging technologies to enable data driven home care agencies.	0
	KnowYourML	We help you understand all your machine learning concepts easier and figurative.	0
	Popstistics	We take a close look at the statistics and data from film, books, television, video games, and music. How likely are you to die in Elm Street? What is the optimal number of years in the future to set a film? Find out the answers to these questions and more.	0
	ThinkLearnshare.in	Diving deep into NLP and its implementations, getting aware of how NLP is involved in our daily lives.	0
	Data Science on Customer Churn Data	Customer churn is a big problem in the telecommunication industry. We will use various data science techniques to get useful insight into customer churn data. We will learn different algorithms, machine learning models, and interpretation of model results.	0
	Clement & Jermyn	Exploring Data Science	0
	Forecast Data with Text by Multi Input and Single Output CNN+RNN Model	To forecast data, we need the value y for the given date x. Now what if cases like a text is also placing a crucial role in up’s and dips of a volume (y), now the case is how do we consider the influencing text data to forecast the volume (y).	0
	fnp.dev	Musings on engineering and ai from fnp.dev	0
	Data Science and Machine Learning by Arnab Dey	Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.	0
	Genie Lab	Personal data story journal by Rakesh Chintha	-1
	Applications of Machine Learning	The authors of this publications are students at IIIT Delhi. They are passionate computer science learners having a keen interest in software development and data science.	-1