Name			Followers
	Woodlamp Tech	We use our backgrounds in research and analytics, design-thinking and engineering to build data tools that humans love to use.	1
	Dylan Roy	Sharing things I am passionate about, and working on so that readers like you can take advantage of my experiences working as an engineer & building out side projects.	1
	FOLK Developers	We aim to reach out to developers worldwide, who learn,share and contribute.	1
	kanger	kanger is a free resource to guide learners with edifying resources	1
	Code Series	Coding, Tutorials, Programming And Concepts Sharing	1
	BroadHorizon Cmotions	We love data!	1
	Gradient Ascent	We’re a bunch of people who like doing Data Science projects and write about them. It’s partially for self-promotion but mostly because we’re pretty stoked about what we did and want to share it with y’all	1
	Kernel-X	Advancing scientific computing knowledge leveraging opensource technology	1
	Rakesh Nain	My name is Rakesh Nain. I am pursuing a Master’s degree in Data Science from Monash University. I want to share my all learnings from Monash University and my own self learnings which I get by doing various online courses and my projects in Data Science.	1
	Seaview Analytics	Fresh and clear perspectives from scientists, entrepreneurs, and engineers on the latest trends in data science — and what they mean for your business	1
	NLP Technology	Recent trends in Natural Language Processing	1
	The HumAIn Podcast	The HumAIn Podcast is a leading data science podcast where frequently discussed topics include AI trends, AI for all, computer vision, natural language processing, machine learning, data science, and reskilling and upskilling for developers.	1
	Data De-Mystified	Data is information. There are so many ways , tools and techniques this information can be converted to useful output. This page curates contents revolving how data can be useful and tools used.	1
	NannyML	NannyML is a monitoring suite that detects data and concept drift, estimates model performance, and gives you full control over the decisions made by your ML.	1
	good datasets for beginners	Here are some good datasets for beginners using which they can learn how different problems can be solved in machine learning. As each dataset contains high quality, and balanced data So Efficient and accurate models can be trained using these datasets.	1