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It involves a step-by-step learning process in the field of data science, encompassing analytical techniques, statistics, and research methods.

License: MIT License

Jupyter Notebook 95.61% R 0.02% Python 0.03% HTML 4.34%

basic-real-world-data-science-projects's Introduction

Passionate and Experienced Software Engineer

Data Science || AI & Machine Learning || Algorithmic Trading || Web & Mobile


Experienced data scientist with a history of working closely with cross-functional teams to guarantee the precision andreliability of data and insights.

I love exploring new things in the software world. Finding patternsπŸ“ˆ in a world of extreme data and expressing them in beautiful graphics brings me joy. Proficient in spearheading predictive modeling projects and delivering practical insights toenhance business efficiency and achieve strategic objectives. Also, Developing smart and useful websites to provide people with an interactive experience of the internet is something I enjoy. In the vast community of blockchain, I strive to create a more transparent and secure cryptocurrency space using data science technologies.βš–

Coding



  • 🀝  I am open to collaboration on all computer and data science skills.

  • πŸ‘¬Β  I'm always learning from everyone else.

I love collaboration.


DevNoctis1001

Matrix SVG

πŸ‘©β€πŸ’» My Programming Language πŸ‘©β€πŸ’»

Python R Rscript Javascript Java PHP HTML CSS3



πŸ† My Tech fields πŸ†

Data Science AI Web Mobile Cloud Security



πŸ”₯ Libraries and Frameworks πŸ”₯

Pandas Numpy Scikit-learn plotly Mysql PostgreSQL MongoDB Tensorflow Pytorch Keras Scipy Streamlit Hadoop Spark Elasticsearch Snowflake MLflow



πŸ–₯ Web Teck Stack πŸ–₯

React NodeJS Bootstrap Vue
Django Flask FastAPI



☁ Cloud Service ☁



πŸ›  Development Tools πŸ› 

PowerBI Tableau Looker Docker

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