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Based on our record, Scikit-learn should be more popular than Alternative.me. It has been mentiond 29 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.
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 / 19 days 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 / 4 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 / about 1 year 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
According to data retrieved today March 21st from alternative.me and after the recent rise in the cryptocurrency market, with Bitcoin (BTC) surging above $28,000, the crypto Fear & Greed Index hit a 16-month high, currently giving a reading of 68, indicating high levels of "greed". Source: over 1 year ago
Really cool! Just did a quick browse of your code and noticed you're using the alternative.me API. Any reason you chose their API over others like CoinGecko or KuCoin? I'm developing my own crypto trading and analysis software right now and I'm trying to standardize all my tools to use the same API, so comparing the ones available is important to me. Source: over 2 years ago
It uses the APIs from alternative.me (https://alternative.me/crypto/fear-and-greed-index/). Source: over 2 years ago
When its about money, Fear and Greed are emotions often involved and hard to controll. The people behind "alternative.me" had the idea to look at the market (by using data) and say if a certain point in time is rather bearish or bullish . Source: over 2 years ago
Real lifehack: https://alternative.me (find alternatives for paid software). Source: almost 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
AlternativeTo - AlternativeTo lets you find apps and software for Windows, Mac, Linux, iPhone, iPad, Android, Android Tablets, Web Apps, Online, Windows Tablets and more by recommending alternatives to apps you already know.
OpenCV - OpenCV is the world's biggest computer vision library
Product Hunt - A website that lets users share and discover new products
NumPy - NumPy is the fundamental package for scientific computing with Python
SaaSHub - Find and promote software that will help you grow your business or to be more productive.