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followers: 6.0 following: 18.0 repos: 13.0 gists: 0.0

Name: Amos Quaidoo

Type: User

Bio: Data Scientist | Machine Learning and Cloud Engineer

Twitter: AmosQuaidoo

Location: Accra

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 [email protected]

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:

Amos Quaidoo's Projects

anomaly-detection

data-preprocessing-in-machine-learning

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.

financial-budget-analysis

introduction-to-machine-learning-

Note on Machine learning,

iphone-sales-analysis-

kwabina12

load-prediction-analysis

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 from Kaggle

machine-learning-layman-s-terms

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

skills-copilot-codespaces-vscode

My clone repository

store-sales-and-profit-analysis-

tutorial-on-sql-

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

unemployment-analysis

web_scraping_

1

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