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My favorite programming language is Python, a versatile and powerful tool that I have mastered to a tee. I have harnessed the capabilities of Python in various domains, including backend web development, automation, and much more. Whether it's crafting elegant web solutions, streamlining processes through automation, or delving into data analysis, Python is my trusted companion in these endeavors.
One of my most significant achievements is my in-depth understanding of MQL5, which I've cultivated since 2019. This experience has made me a seasoned professional in algorithmic trading, equipped with the knowledge and skills to create sophisticated trading strategies that can maximize returns and minimize risks. The world of finance and trading is ever-evolving, and I ensure that I stay at the forefront of these developments to offer top-notch algorithmic trading solutions.
For a closer look at my coding prowess and contributions, feel free to follow me on GitHub: https://github.com/MegaJoctan
I take pride in my open-source projects and the code I share with the programming community.
DISCORD: https://discord.gg/2qgcadfgrx
TELEGRAM: https://t.me/omegafx_co
If you're looking for a skilled collaborator for your Machine Learning project, look no further! You can hire me by opening this link: https://www.mql5.com/en/job/new?prefered=omegajoctan
I bring a wealth of experience in programming and a deep appreciation for the nuances of machine learning.
But that's not all – I also offer a range of trading products that cater to both beginners and experts. Explore my catalog of free and paid trading products here: My Trading Products. These meticulously crafted tools can help you navigate the world of algorithmic trading more effectively and profitably.
Thank you for taking the time to learn more about me. I'm always eager to connect with fellow developers, traders, and enthusiasts. Let's collaborate and innovate together!
数据挖掘在数据科学家和交易者看来至关重要，因为很多时候，数据并非如我们想象的那么简单。 人类的肉眼无法理解数据集中的不显眼底层形态和关系，也许 K-means 算法可以帮助我们解决这个问题。 我们来发掘一下...
与线性回归不同，多项式回归是一种很灵活的模型，旨在更好地执行线性回归模型无法处理的任务，我们来找出如何在 MQL5 中制作多项式模型，并据其做出积极东西。
在我们透彻之前，还有一些涵盖前馈神经网络的次要事情，设计就是其中之一。 针对我们的输入，看看我们如何构建和设计一个灵活的神经网络、隐藏层的数量、以及每个网络的节点。
许多人喜欢它们，但却只有少数人理解神经网络背后的整个操作。 在本文中，我尝试用淳朴的语言来解释前馈多层感知，解密其封闭大门背后的一切。
梯度下降在训练神经网络和许多机器学习算法中起着重要作用。 它是一种快速而智能的算法，尽管它的工作令人印象深刻，但它仍然被许多数据科学家误解，我们来看看有关它的全部。
决策树模仿人类的方式针对数据进行分类。 我们看看如何构建这棵树，并利用它们来分类和预测一些数据。 决策树算法的主要目标是将含有杂质的数据分离成纯节点或靠近节点。
在本文中，我将尝试运用我们的逻辑模型，基于美国经济的基本面，来预测股市崩盘，我们将重点关注 NETFLIX 和苹果。利用 2019 年和 2020 年之前的股市崩盘，我们看看我们的模型在当前的厄运和低迷中会表现如何。
Matrix is the foundation of complex trading algorithms as it helps you perform complex calculations effortlessly and without the need for too much computation power, It's no doubt that matrix has made possible many of the calculations in modern computers as we all know that bits of information are stored in array forms in our computer memory RAM, Using some of the functions in this library I was able to create machine learning robots that could take on a large number of inputs To use this
这一次，我们的模型是由矩阵构建的，它更具灵活性，同时它允许我们构建更强大的模型，不仅可以处理五个独立变量，但凡我们保持在计算机的计算极限之内，它还可以处理更多变量，这篇文章肯定会是一篇阅读起来很有趣的文章。
数据分类对于算法交易者和程序员来说是至关重要的。 在本文中，我们将重点关注一种分类逻辑算法，它有帮于我们识别“确定或否定”、“上行或下行”、“做多或做空”。
我们作为交易员，现在是时候基于数字所言来培训我们的系统，并自行制定决策了。 尽管我们的眼睛看不到，但我们的勇气让我们相信，这是世界前进的方向，所以，让我们顶着波浪的方向移动。
您想成为一名成功的 MQL5 自由开发者吗？ 如果答案是肯定的，这篇文章适合您。