Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
#buildinpublic
Open Makers
100 in 100 Challenge
Astramind for Makers
bipp’d
Publicly
GrowthList
GrowthHackers Projects
Scikit-learn #buildinpublicBased on our record, Scikit-learn seems to be a lot more popular than #buildinpublic. While we know about 28 links to Scikit-learn, we've tracked only 2 mentions of #buildinpublic. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 12 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
Yes I also made wip.co startup.jobs highscore.money expensive.chat buildinpublic.com pr.co caption.cat getfaces.com requestforstartup.co openmargin.com eatmore.io pushmore.io [😁.to](https://😁.to) linkhyper.com tweet.photo sp-forums.com tunnelvision.xyz hundredunderhundred.com. Source: over 2 years ago
Marc Köhlbrugge is the founder of a seemingly never ending list of products. Examples include BetaList (startup discovery platform), Startup Jobs (job board) and WIP (community of makers). More recently he launched BuildInPublic.com (Twitter community). He has also made more experimental products like Highscore Money (pay your way into a leaderboard) and Expensive Chat (chatroom where you pay 1 cent per letter). Source: over 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Open Makers - Open Makers is a community for those of you who are "building in public" and want to share your maker journey.
OpenCV - OpenCV is the world's biggest computer vision library
100 in 100 Challenge - Get 100 new paid users in 100 days
NumPy - NumPy is the fundamental package for scientific computing with Python
Astramind for Makers - Astramind is a platform where makers build in public and engage with potential customers, fellow makers.
