Based on our record, Mint should be more popular than Scikit-learn. It has been mentiond 80 times since March 2021. 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.
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
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 / 11 months 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 / about 1 year 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 / almost 2 years ago
A few budgeting platforms to check out. I've tried a couple of these and can vouch for the Intuit, YNAB, and Google Sheet but the others are just ones I found online. The important part is finding one that works for you. Source: over 1 year ago
I think there's an ongoing issue somewhere because, https://mint.intuit.com/ is also dead. - Source: Hacker News / over 1 year ago
Mint - feel they were the original and the first. Investments were always broken for me, but think they still do a great job on the expenses side. Source: over 1 year ago
Money makes the world go round, and managing it well can be pretty time-consuming. After all, entire professions, like financial planners and accountants, are centered around just that. However, Mint is a great tool for productively managing your own money, budgets, and financial goals, bringing together bank accounts, credit cards, loans, and investments into a centralized platform. Its real-time syncing and... - Source: dev.to / over 1 year ago
Https://mint.intuit.com/ scroll down and expand mint help center. Source: almost 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.
YNAB - Working hard with nothing to show for it? Use your money more efficiently and control your spending and saving with the YNAB app.
OpenCV - OpenCV is the world's biggest computer vision library
GnuCash - A personal and small-business financial-accounting software, licensed under GNU/GPL and available for Linux, Windows, Mac OS X, BSD, and Solaris.
NumPy - NumPy is the fundamental package for scientific computing with Python
Quicken - Stay in control of your monthly cash flows, budgets, and expenditures. Quicken provides a navigable interface where you can organize your debit, credit, and savings, and build good habits accordingly.