BirthdayBot for Slack Reviews

Scikit-learn Reviews

BirthdayBot for Slack mentions (4)

• Slack apps that will boost your team workspace

  Opt-out of birthday celebrations if you prefer to keep your bday private. BirthdayBot for Slack *Never miss your teammates' birthdays*birthdaybot.io. - Source: dev.to / almost 2 years ago

• Should I niche further down to beat the competitior?

  I am thinking of building Saas that remind team members of their b-day. However, it seems like the service already exists: https://birthdaybot.io/ In this case, should I try to make my Saas more special by creating one for other Chat apps like RocketChat maybe? Source: about 2 years ago

• Should I niche down further on my idea?

  For example, I had idea of having providing Birthday Alarm service for employee on Slack Like B2B Saas. However I realized this already exists: https://birthdaybot.io/. Source: about 2 years ago

• How to build a slack birthday bot

  The current most popular BirthdayBot on slack is used by more than 25,000 companies which makes birthday wishing business very lucrative, however it comes at a hefty price of $1.99 per user / month for premium package which can make it quite expensive for mid to large size companies. - Source: dev.to / over 2 years ago

Scikit-learn mentions (29)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 22 days ago

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  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 / 4 months ago

• Link Prediction With node2vec in Physics Collaboration Network

  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 / about 1 year ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  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

• PSA: You don't need fancy stuff to do good work.

  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