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kwabina12/README.md

Hi 👋, I'm AMOS QUAIDOO

Data scientist

As a passionate technology enthusiast, I specialize in leveraging data to drive decisions and solve real-world problems. My expertise lies in predictive modeling, machine learning, statistical analysis, and data visualization, enabling me to contribute to data-driven decision-making and develop innovative solutions that address complex challenges.

- 📫 How to reach me **amosquaidoo@gmail.com**

Technical Skills

• Programming Language: Python, SQL

• Data Analysis: Microsoft Excel, Power BI, Jupyter Notebook, KNIME,

• Machine Learning: Scikit-learn, Amazon Machine Learning, Tensorflow

• Natural Language Processing: NLTK (Natural Language Toolkit), spaCy, Transformers

• Web Scraping: Selenium, Beautiful Soup

• Cloud Engineering: Amazon Web Service

Connect with me:

Languages and Tools:

aws d3js flask git matlab mysql oracle postgresql python scikit_learn selenium tensorflow

Popular repositories

  1. Machine-Learning-layman-s-terms Machine-Learning-layman-s-terms Public

    The data era has arrived, and We have to accept it and prepare enough for it

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  2. Introduction-To-Machine-learning- Introduction-To-Machine-learning- Public

    Note on Machine learning,

  3. load-Prediction-Analysis load-Prediction-Analysis Public

    This project is about Loan Prediction and its Analysis in Python. It is a classification problem. The objective of this problem is to predict whether the loan will approve or not, the dataset is fr…

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  4. web_Scraping_ web_Scraping_ Public

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  5. Tutorial-on-SQL- Tutorial-on-SQL- Public

    This tutorial will teach you how to use SQL in: MySQL, SQL Server, MS Access, Oracle, Sybase, Informix, Postgres, and other database systems.

  6. Data-Preprocessing-in-Machine-learning Data-Preprocessing-in-Machine-learning Public

    Data preprocessing is a process of preparing the raw data and making it suitable for a machine learning model. It is the first and crucial step while creating a machine learning model.

    Jupyter Notebook