Pinned Repositories
cnai-ds
cnai-ds.github.io
Crop-Yield-Prediction-Satellite-Image
Python data pipeline to acquire, clean, and calculate vegetation indices from Sentinel-2 satellite image. Package is available only for our clients.
Datathon-Criteo-Benchmark-Churn-Date
Datathon with a retargeting ad company. Churn date prediction (Normalized RSME 38), clustering (98% Silhouette), automated identification of the gaps between best and average client within a cluster.
Datathon-Health-Risk-Prediction
SCOR Datathon in 2020. Acquired and processed open data, predicted level of Glycohemoglobin, Cholesterol and probability of diabetes, then identified the probability change with Random Survival Forest to suggest improvements to a user.
Datathon-Instagram-Image-Color-Analysis
Launchmetrics Datathon 2020. Identified the impact of Instagram Image color property to company revenues with OpenCV using HSV and RGB color space.
Experimentation-Product-Analysis
Demonstration of experimentation analysis approach, including A/B testing, A/A testing, and quasi-experimental testing for data driven product decision making.
Extremely-Imbalanced
Extremely imbalanced binary classification for Travel Insurance Claim. Seeking for an improvement. Usage of Several models including Sequential Neural Network with Back Propagation, Calibration curve, Brier score
geoprediction
Premium-Prediction-Natural-Hazards
Prediction of market premiums for property damage and business interruption insurance products. Added natural hazard data and stacked 3 best models as the final model.
cnai-ds's Repositories
cnai-ds/Crop-Yield-Prediction-Satellite-Image
Python data pipeline to acquire, clean, and calculate vegetation indices from Sentinel-2 satellite image. Package is available only for our clients.
cnai-ds/Datathon-Health-Risk-Prediction
SCOR Datathon in 2020. Acquired and processed open data, predicted level of Glycohemoglobin, Cholesterol and probability of diabetes, then identified the probability change with Random Survival Forest to suggest improvements to a user.
cnai-ds/Premium-Prediction-Natural-Hazards
Prediction of market premiums for property damage and business interruption insurance products. Added natural hazard data and stacked 3 best models as the final model.
cnai-ds/Experimentation-Product-Analysis
Demonstration of experimentation analysis approach, including A/B testing, A/A testing, and quasi-experimental testing for data driven product decision making.
cnai-ds/geoprediction
cnai-ds/cnai-ds
cnai-ds/cnai-ds.github.io
cnai-ds/Datathon-Criteo-Benchmark-Churn-Date
Datathon with a retargeting ad company. Churn date prediction (Normalized RSME 38), clustering (98% Silhouette), automated identification of the gaps between best and average client within a cluster.
cnai-ds/Datathon-Instagram-Image-Color-Analysis
Launchmetrics Datathon 2020. Identified the impact of Instagram Image color property to company revenues with OpenCV using HSV and RGB color space.
cnai-ds/Extremely-Imbalanced
Extremely imbalanced binary classification for Travel Insurance Claim. Seeking for an improvement. Usage of Several models including Sequential Neural Network with Back Propagation, Calibration curve, Brier score
cnai-ds/NLP-QA-Forum
Prediction of the best answers of the questions using a scraped QA forum data, including the texts. Neural Network (linear stack of layers): Accuracy 92%, MSE 0.08
cnai-ds/Revenue-Forecast-Reserved-Price
Forecast of advertisement revenue for the coming months and reserved price prediction for bidding price.