AI Machine Learning Algorithm Data Analysis Scikit-learn Anomaly Detection Historical Database Python NoSQL Full Stack
Budget: $250 – $750 USD
Phase 1 - see MySQL PYTHON document.
Phase 2 --see GenOverview PDF. Combine datasets to produce set of data features and train an “AI Learning Optimizing Ranking
Algorithm / Ranking model AND/OR other Mathematic algorithm” based model to obtain
estimations of probabilities from historical Data analysis and Anomaly Detection to understand factors in
predicting horse racing results using FLASHNET + EPONIES historical data. Generate daily PDF reports and top trends.
Phase 2 --see GenOverview PDF. Combine datasets to produce set of data features and train an “AI Learning Optimizing Ranking
Algorithm / Ranking model AND/OR other Mathematic algorithm” based model to obtain
estimations of probabilities from historical Data analysis and Anomaly Detection to understand factors in
predicting horse racing results using FLASHNET + EPONIES historical data. Generate daily PDF reports and top trends.