MACHINE LEARNING / AI: TRAIN DATA SETS & FIND THE PERFECT RELATED OR MOST PROBABLE HISTORICAL EVENT TO THE UPCOMING EVENT

I need an absolute expert in Machine Learning, Algorithm, Predictive Analysis, Data Mining and if possible full a time worker.

100 data sets/examples in Excel are ready to train for a machine learning model. Data sets consist of one upcoming event with related odds and one historical event with related odds which is perfectly related or most probable to the upcoming event.

I have also prepared 10 teest sheets. These sheets consist of one upcoming event with related odds and around 50 to 500 historical events with related odds. Its differently from upcoming event to upcoming event.

1. Train the model with data sets/examples (and build algorithm)

2. Use this model/algorithm to find the perfect related or most probable historical events to the upcoming events in the test sheet. The accuracy of the model must be very high, if possible not under 90%!

3. Project is done if the accuracy is very high and i know exactly what i have to do, means: if neccessary i need this machine learning model on my pc and you have to show me exactly what i have to do.

NOTE: If this model find always the perfect related historical event to the upcoming event there will be a extra bonus!