Predictive model NBA statistics
Budget: $750 – $1,500 USD
Development of a complete nba predictive betting model.
Knowledge about matching learning, python, API.
Tool to train a model connected to nba apis to acquire all the data of teams and players, bookmakers api to acquire the information of the odds and reinforcement in the training model through AI api. This model must make combined bets, i.e. in the same bet include different bets such as X points of a player, Xrebounds of another or the same, X assists, X triples ... more than X points in the first half of both teams, winning team ....
Once the model is trained I develop an interface to receive the results of the prediction of each game and the recommendations of bets and combined bets for the same game.
Knowledge about matching learning, python, API.
Tool to train a model connected to nba apis to acquire all the data of teams and players, bookmakers api to acquire the information of the odds and reinforcement in the training model through AI api. This model must make combined bets, i.e. in the same bet include different bets such as X points of a player, Xrebounds of another or the same, X assists, X triples ... more than X points in the first half of both teams, winning team ....
Once the model is trained I develop an interface to receive the results of the prediction of each game and the recommendations of bets and combined bets for the same game.