Time series Financial Analysis Using Python

In this project, we conducted a financial analysis into the stock performance of some of the biggest banks in South Africa in the past decade. We used Numpy, Pandas, and Scikit-Learn in our analysis.
A versatile data professional with expertise in data analysis, business intelligence, and data science. My portfolio reflects a blend of analytical finesse and strategic insights, showcasing projects that unravel compelling narratives from complex datasets. Explore the intersection of my skills and passion for transforming data into actionable intelligence.
In this project, we conducted a financial analysis into the stock performance of some of the biggest banks in South Africa in the past decade. We used Numpy, Pandas, and Scikit-Learn in our analysis.
The aim of the project was to create and train a model based on logistic regression with the purpose of detecting credit card fraud. The project data used is a sample of credit card data collected from Kaggle. We used Numpy, Pandas, and Scikit-Learn for our analysis.
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