ThinleyYC/African-Credit-Scoring-Challenge_DL

Kaggle Competition- African Credit Scoring Challenge # African-Credit-Scoring-Challenge_Deep Learning Model Tool used: Kaggle Language: python Kaggle Competition- African Credit Scoring Challenge 1. Matplotlib and Seaborn was used for visualization of plots 2. Dataset was preprocessed and the output was a csv file with predictions made 3. Ranked 756 in the final Submission 4. Feed Forward Neural Network was employed 2. economic_indicators.csv could have been used to understand temporal features and time series data 3. Better preprocessing and use of simpe ML models could have better improved the model performance