ATP Match Prediction using Historical Data |Python ML
Bütçe ₹12500-37500 INR
We are seeking a skilled data analyst or machine learning engineer to help us build a predictive model for ATP tennis matches based on historical data. The goal of the project is to develop a system that can accurately predict the outcome of ATP matches using a range of data sources, including player statistics, match results, and other relevant information.
The ideal candidate should have experience in data analysis, machine learning, and data visualization, with a strong understanding of the ATP match ecosystem. They should be able to build and train a predictive model that can analyze large data sets and make accurate predictions based on historical data.
The system should include the following features:
A database of historical ATP match data, including player statistics and match outcomes
A predictive model that can use this data to predict the outcome of future matches
A user-friendly interface that allows users to input the current match conditions and receive a prediction of the match outcome
Integration with real-time match data to allow for up-to-date predictions
The candidate should be able to provide examples of similar projects they have worked on in the past, OR should have a strong understanding of machine learning techniques and algorithms. They should also be able to demonstrate their ability to work with large data sets and to visualize and present data in a meaningful way.
We are looking for a candidate who can work independently and deliver the project on time and within budget.
If you are interested in this project, please submit your proposal , your experience, and your estimated timeline and budget.
Bu iş için 13 freelancer ortalamada ₹21323 teklif veriyor
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