GnuCash might be a bit more popular than Scikit-learn. We know about 38 links to it since March 2021 and only 31 links to Scikit-learn. 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 / 12 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
Https://gnucash.org/ is a pretty solid free and open source option. The catch being its UI probably isn't as refined as some other options, and I'm not sure how/if online banking connections work, so can be a bit manual. Source: almost 2 years ago
Could checkout https://gnucash.org/. Probably not as nice as a UI as some other options, but its quite robust in terms of tracking your finances. It has a budgeting feature, but I never used it. Worst case could use another app just for budgeting and GnuCash for general tracking of the current state of your accounts, and generating reports and such. Source: about 2 years ago
As of today (2/22/2023), gnucash.org seems to be up and running. Do the young folks still use "woot" as an exclamation of delight or is that already passe??😄. Source: over 2 years ago
I guess PART of my concern is that when you have a blank screen at gnucash.org for too long, it APPEARS to the outside world... People who might wish to consider using and supporting gnucash... that there is a problem that the organization is unable to handle and therefore the question arises "Are the team at gnucash competent or incompetent"? Source: over 2 years ago
I am a fan of Open Source projects and I've known about GnuCash for some time. I've started an online personal finance course that uses GnuCash, HOWEVER, the gnucash.org site seems to have been down for days or weeks lately. What's up. I thought the pandemic was over and the 'ronavirus was going into obscurity... Am I wrong? Did the team all die off? Are they not taking this seriously? OR... Is there actually... Source: over 2 years ago
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Mint - Free personal finance software to assist you to manage your money, financial planning, and budget planning tools. Achieve your financial goals with Mint.
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HomeBank - Access Financial Services. Easy, fee-free banking for entrepreneurs Get the financial tools and insights to start, build, and grow your business.
NumPy - NumPy is the fundamental package for scientific computing with Python
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