Dimensionality Reduction

Need to normalize the given datasets and make sure that all the data should be less than1 and then, reducing the dimensionality of the datasets using dimensionality reduction concepts like Diffusion maps, Locality Preserving Projection and Neighbhorhood Preserving Embedding. And also need to classify them using Random forests, Multi layer perceptron, Radial basis function and k-Nearest neighbor.

Skills: Python, R Programming Language

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( 0 reviews ) Canada

Project ID: #20416161

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mphill in computer science having seven years of experience in R programming, python development. I already done such many projects.

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Hello. Thanks for your posting job. I have read your requirements carefully and fully understood what you need. I am interesting on your project as I am a C/C++ and C# expert with design techniques. I can help you wit More

$200 CAD in 5 days
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Hello, My total experience is 6.8 years in Predictive modeling Statistical Analysis, Optimization and Machine learning techniques. I have implemented data science solutions for the Digital marketing & advertising, Tele More

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Hi i am a Data Scientist working in machine learning frim past 3 years. i have done many projects like Recommendation system, image classes, anomaly detection etc. i know various algorithms for dimension reduction and More

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