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Hi there 👋

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Salutations, fellow explorer of the digital realm! I extend to you a warm invitation to venture through the virtual dimensions of my GitHub profile, where the alchemy of Data Science and the artistry of Web Development converge harmoniously.

🔭 Currently Crafting

At this moment, my creative forge is ablaze with projects that merge the worlds of Data Science, Finance, and Trading. I'm diligently crafting software solutions that harness the power of data to illuminate insights and strategies within the financial markets.

🌱 Ever-Seeking Knowledge

As an eternal disciple of wisdom, I am continuously honing my craft. Presently, I'm delving deeper into the art of algorithmic trading, mastering the arcane mysteries of quantitative finance, and refining my data science prowess through advanced statistical modeling techniques.

👯 Collaboration Calls

Collaboration is the crucible of innovation, and I extend an invitation to fellow wanderers of this domain. If you're passionate about financial markets, trading algorithms, or the fusion of data science and finance, I'm eager to forge alliances and embark on remarkable journeys together.

🤔 Seeking Guidance

Though the path I tread is illuminated, there are boundless realms yet unexplored. I seek wisdom and camaraderie in deciphering complex market behaviors and architecting robust trading algorithms. If you're well-versed in quantitative finance or algorithmic trading, your insights would be invaluable.

💬 Let's Discuss

Enthusiastic discourse is the elixir of growth. Feel free to strike up conversations with me about data-driven financial strategies, trading algorithms, or the intricate dance between data science and finance.

📫 How to Unveil Secrets

To summon me from the digital ether, you can reach out through these portals:

May our paths converge in the pursuit of knowledge, insights, and prosperous trades.

"In the world of data and finance, discoveries await those who dare to explore."

Assyl Ammar's Projects

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

django_appml icon django_appml

This repository for my app machine learning using django framework. The method machine learning include K-Means clustering, K-Nearest Neighbor and Naive Bayes

q-learning icon q-learning

In this example, i found the shortest way between two given points using Q-Learning.

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