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πŸš€ Exploring the Codescape with Somkietacode 🌌

Profile Introduction:

Howdy, I'm Somkietacode! πŸ‘‹

I'm a passionate and dedicated developer exploring the wonders of the coding universe. My real name is Ouedraogo Somkieta, but you can call me Somkietacode. πŸ˜„

As a software enthusiast, my coding journey encompasses a wide range of interests and expertise. I love diving into front-end web development, crafting intuitive user interfaces with HTML, CSS, and JavaScript. I'm equally excited about back-end technologies, where I leverage the power of Python, Node.js, and databases to build robust and scalable applications.

In my interstellar quest for knowledge, I also dabble in mobile app development, experimenting with both Android and iOS platforms. Additionally, I find myself captivated by the potential of data science and machine learning, unraveling patterns and insights from datasets to make data-driven decisions.

With each line of code, I strive to create solutions that not only function flawlessly but also inspire and leave a positive impact on the world. Beyond coding, I'm a firm believer in open-source contributions and the collaborative nature of the developer community.

Come along, and let's embark on an exhilarating coding journey together! πŸš€πŸŒŒ

Feel free to explore my repositories and connect with me. Happy coding! πŸš€πŸ”₯

P.S. You can also find me on https://m.facebook.com/somkieta.ouedraogo.102/ . Let's connect and learn from each other!

Profile Summary:

With 25 repositories and 5 stars, my work spans across various domains, but I have a particular fondness for deep learning and machine learning applications in the financial market. Let me introduce you to some of my most popular repositories:

  1. Pandas Market Predictor:

    • A deep learning API written in Python, built on top of Panda, which facilitates predicting future prices and trends of financial market assets.
    • Developed with a focus on enabling fast experimentation, it empowers users to make data-driven decisions with ease.
    • Core data structures include Historical Market Data and Technical Indicator, and users can construct their dataset using the Pandas-TA library.
    • You can predict the most probable future market trend using the Trend_Detection method, and even estimate asset highs and lows using the Support_Resistance_Estimation_Tool.
    • Example usage provided to get you started on predicting trends from your dataset.
  2. Artificial Neural Network:

    • This deep learning API, written in Python, is engineered to foster rapid experimentation in neural network applications.
    • With a focus on efficiency and effectiveness, it streamlines the development process for neural network enthusiasts.
  3. ModelSaver:

    • As a dedicated machine learning practitioner, I created ModelSaver to provide a simple and convenient way to save and load machine learning models using pickle.
    • Designed especially for models trained using the Scikit-learn library (sklearn), it's also compatible with other models.

Among my repertoire, "Pandas_Market_Predictor" stands out as the most popular repository. You can visit my GitHub page to explore its full potential and dive into the exciting world of financial market prediction.

Feel free to collaborate, contribute, or reach out for any questions. Let's unlock the potential of code together! πŸš€πŸŒŒ

Somkietacode

Profile Badges/Stats

Repositories Stars Followers Contributions

somkietacode's Projects

adams icon adams

Adams is a personal language model based on the GPT-2 architecture that has been fine-tuned on a dataset of web pages scraped from Google search results. It is designed to be used as a chatbot or conversational agent that can generate human-like responses to user input.

artificial_neural_network icon artificial_neural_network

An artificial neural network, or artificial neural network, is a system whose design was originally schematically inspired by the functioning of biological neurons, and which subsequently approached statistical methods.

autofileorganizer icon autofileorganizer

The goal of this project is to create a script that automatically organizes files in a specified folder based on their file types. It will scan a source folder, identify the file types, and move them into respective subfolders within a destination folder.

automatic-valid-mail-list-generator icon automatic-valid-mail-list-generator

As a mail or web marketer, you literally need to collect leads for your large campaign or advertising plan. Most internet mail-based workers use most of the time internet to scrap for mail addresses they can use for Growth prospection. Mail Scraper Pro is a simple easy to use tool for scraping more than 20K mail a simple day depending on your network connection. A friendly command-line tool that even no coder people can use. The software is portable and doesn't need to be installed on your device. so increase your mail scraping rate now.....

awesome_linear_regression icon awesome_linear_regression

Linear regression attempts to model the relationship between variables by fitting a linear equation to observed data.

beat-defender icon beat-defender

An esay to use tool for gaining administrator privilege ( privilege escalation) on targeted system bypassing , disable defender and turn of AV.

configuredefender icon configuredefender

Utility for configuring Windows Defender Antivirus settings [copy of AndyFul/ConfigureDefender]

facebook-js icon facebook-js

Social networking can help a business gain contacts, clients, and increased public awareness. Even entrepreneurs who run small businesses from their homes can take advantage of this resource to set up a global presence. The best way to get more people interested to view your profile and send you a friend request is to hit the like button that why i build this simple javascrit code to help you achieve this task.

fruit_classifier icon fruit_classifier

Simple demonstration of fruit classification. PrΓ©diction de la probabilitΓ© qu'un fruit soit une pomme ou une banane sur la base d'un algorithme GBOOST

imaginairy icon imaginairy

AI imagined images. Pythonic generation of stable diffusion images.

math4machinelearning icon math4machinelearning

The main idea of this project is to implement a set of mathematical tool kit for machine learning

modelsaver icon modelsaver

ModelSaver is a Python class that provides a convenient way to save and load trained machine learning models using the pickle module. It is designed to work specifically with models trained using the Scikit-learn library (sklearn) but can be used with other models as well.

programingassistant icon programingassistant

This is Eliot your comandline based programing assistant. Ask him anything about programing, he would be glad to help you.

sqlcoder icon sqlcoder

SoTA LLM for converting natural language questions to SQL queries

switzanex- icon switzanex-

switzanex is a script that extracts information from directories and exports it to .csv / switzanex est un script qui permet d'extraire des informations d'annuaires et de les exporter .csv

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