This is a Data Science project of my interest.
Stock data analysis (Part 2)🔥🔥Recommend
- In the second part, I will experiment with different types of stock datasets to evaluate the practicality of the trading ideas from the first part.
- I use Linear regression model to predict the target.
- Backtesting result show that Highest profit on mai stock list (+95%) in 1 year and 7 months
- Tool : Python, Power Point
- Skill : Backtesting, Machine learning, System trading, Presentation
Banker, Please save us from fraudsters🔥🔥Recommend
- I have been given the opportunity to interview for a position as a Data Scientist. As part of my preparation, I created a project aimed at predicting fraudulent behavior to help banks detect fraud faster
- The median amount scammed per time is 441423.44.
- The prediction model accuracy is accurate to 100%. This is unreasonable result in reality
- Tool : Python, Power Point
- Skill : Explore data, Machine Learning, Presentation
- The business problem is to develop a pricing classification model that can estimate the price range of the mobile phones produced by Bob's mobile company based on the phone's features such as RAM, internal memory, etc.
- K-Nearest Neighbors Accuracy score is 0.92. Therefore, I have decided to use this model to classify the mobile price range.
- Tool : Python
- Skill : Machine Learning
- This is a project about try to predict the Korea's representative implied volatility index (VKOSPI)
- Even though we turn to forecasts based on the rate of change, the R-square value is even lower (0.2041), i.e. we cannot predict VKOPSI this time.
- Tool : Python
- Skill : Machine Learning