Data-Science-in-Finance

Course assignment from data science in finance from ELVTR, U.K.

Assignment 1: Cleaning of datasets and exploratory data analysis
Assignment 2: Build a Baseline Model for lending dataset (2, 2-2, 2-3)
Assignment 3: Develop a challenger model for lending dataset
Assignment 4: Create a customer segmentation for the credit card dataset
Assignment 5: Time series forecasting of Apple Inc. stock price using LSTM (data taken from Yahoo finance)
Assignment 6: Building a time webapp for prediction fraud and nonfraud transactions
Assignment 7: Building ML architecture for lending datasets problem
Assignment 8: Push code to the git
Exploratory 1: Fraud detection using autoencoders

Datasets for the assignments:

Name		Name	Last commit message	Last commit date
Assignment optional-Anomally_detection_using_autoencoders.ipynb		Assignment optional-Anomally_detection_using_autoencoders.ipynb
Assignment-1_Hisay_data_cleaning.ipynb		Assignment-1_Hisay_data_cleaning.ipynb
Assignment-2_2_Hisay_baseline_model.ipynb		Assignment-2_2_Hisay_baseline_model.ipynb
Assignment-2_3_Hisay_baseline_model.ipynb		Assignment-2_3_Hisay_baseline_model.ipynb
Assignment-2_Hisay_baseline_model.ipynb		Assignment-2_Hisay_baseline_model.ipynb
Assignment-3_Hisay_challenger_model.ipynb		Assignment-3_Hisay_challenger_model.ipynb
Assignment-4_Hisay_anomally_detection_model.ipynb		Assignment-4_Hisay_anomally_detection_model.ipynb
Assignment-5_Hisay_LSTM_TimeSeries_Forecasting_1.ipynb		Assignment-5_Hisay_LSTM_TimeSeries_Forecasting_1.ipynb
Assignment-6_Hisay_web_app_development.zip		Assignment-6_Hisay_web_app_development.zip
Assignment-7_Hisay_ML_architecture.png		Assignment-7_Hisay_ML_architecture.png
README.md		README.md
Travel_Insurance_Prediction.ipynb		Travel_Insurance_Prediction.ipynb

Navigation Menu