While we are currently living in a world that foresees technology to be the future of the workforce and recruitment. Industries like Artificial Intelligence and Machine Learning will set a benchmark in leading technology and economy hand-in-hand. Starting from the basics of Machine Learning, let us take a look at the prediction strategy for a premier game like Cricket on various applications.
The process and tools behind the prediction include the following:
· Jupyter Notebook
· Numpy
· Pandas
· Seaborn
· Matplotlib
· Scikit-learn
The Bootcamp will focus on the following features to help you build a prediction module for games like cricket.
· Data cleaning and formatting
· Exploratory data analysis
· Feature engineering and selection
· Compare several machine learning models on a performance metric
· Perform hyperparameter tuning on the best model
· Evaluate the best model on the testing set
· Interpret the model results
· Draw conclusions and document work
Want to understand the tools and technology behind these features? Sign-up for our Bootcamp today and stay tuned for the same.
