Based on our record, Scikit-learn seems to be a lot more popular than Expensify. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of Expensify. 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.
I never heard of them before, and the emails look like they are truly tied to 'expensify.com' but there is no 'unsubscribe' or anything similar. I am thinking maybe a scammer is trying to get me to sign in and put in some form of credit card details? Source: over 1 year ago
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: over 1 year ago
Abacus - Expenses without the 'expense report'
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Zoho Expense - Automate your expense reporting process and streamline the approval flow.
OpenCV - OpenCV is the world's biggest computer vision library
Fyle - Track expenses across devices on-the-go and maintain a central repository. With custom approval flows, automatic policy violation detection and an automated audit trail, be audit-ready at all times!
NumPy - NumPy is the fundamental package for scientific computing with Python