Choosing a UNIQUE pattern classification approach and implementing that approach using one of the machine learning Methods in Python/MATLAB/Weka.
Structure investigation using the following steps:
Normalization, outlier detection, censoring of bad data, etc.
Handling of missing data, records of varying length, etc.
To generate many features from the time-series data provided and ultimately only use a subset inclassifier.
Partition data & establish experiment design
Train/validation/test sets, balancing classes (optional), etc.
What approach used, what parameters required, how they were tuned, etc.
Testing & expected accuracy
What is predicted accuracy, how was it computed, provide a standard error / standard deviation on your estimate (e.g. "the minimum of my 3 accuracies will be 0.73 ± 0.04")
Implement at least one meta-learning strategy (e.g. CME-voting, bagging, boosting), and investigate its effect on accuracy.
Bu iş için 37 freelancer ortalamada $521 teklif veriyor
I can use Weka and do this project easily. I am Mphill in computer science having seven years of experience as a data analyst and data scientist with following skills: • Machine learning. • Modelling. • Data Mining. Daha Fazla
Hi, I am Ibrahim, and I am a data scientist, I have expertise in machine learning, and python, I can create a machine learning algorithm, but first I need to see the dataset. Regards, Ibrahim Anjum
https://www.freelancer.com/projects/software-architecture/Project-for-Zahid-21977872 working in speech recognition machine learning lets discuss
Hi I had a PhD in computer science. My area of expertise is data mining. I had worked on many projects using Weka. I think I can help you. Please contact me. Many thanks.
I can complete your [login to view URL] experience in machine learning and data science of 3 years recently i did a project on earthquake magnitude predictor and extraction of text from [login to view URL] can share your details with m Daha Fazla