Software Alternatives, Accelerators & Startups

FXTM VS Scikit-learn

Compare FXTM VS Scikit-learn and see what are their differences

FXTM logo FXTM

FXTM Trader – Forex Trading app enables users to find a broker so they can do online trading using an extensive collection of more than 250 different financial instruments.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • FXTM Landing page
    Landing page //
    2023-08-18
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

FXTM videos

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Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to FXTM and Scikit-learn)
Finance
100 100%
0% 0
Data Science And Machine Learning
Investing
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare FXTM and Scikit-learn

FXTM Reviews

5 MetaTrader alternatives for Apple devices (Jan 2023)
FXTM is not lagging behind with its FXTM Trader. The app allows full control over your trading accounts, including the ability to deposit, withdraw and monitor your funds, to monitor your preferred instruments and access live currency rates, and quickly open and close positions.
Source: smnweekly.com
Best Forex Brokers: Top 5 Most Authentic FX Brokers Of 2022
FXTM stands for ForexTime, and they entered the industry back in 2011 as a global CFD and Forex broker. FXTM is based out of Cyprus and is subsequently regulated by the Cyprus Securities and Exchange Commission or the CySEC.

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. 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.

FXTM mentions (0)

We have not tracked any mentions of FXTM yet. Tracking of FXTM recommendations started around Mar 2021.

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
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What are some alternatives?

When comparing FXTM and Scikit-learn, you can also consider the following products

Binomo - Binomo: Easy stock trading app provides users with virtual funds through which they can practice share and stock trading on their mobile phones.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Vantagemarkets - Vantage is a regulated CFD broker, providing traders with access to the global Forex market through top tier FX liquidity providers.

OpenCV - OpenCV is the world's biggest computer vision library

XTB - Leading European FX & CFDs brokerage Group

NumPy - NumPy is the fundamental package for scientific computing with Python