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10 fold cross-validated averaged perceptron algorithm in python

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已发布将近 8 年前

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I have a csv file that contains a list of articles categorised in different categories such a sports, media, politics etc. The task is to determine the article’s category given the article’s content. I also want to implement feature extraction using the bag of words model. Task list: 1. Implement averaged perceptron learning algorithm. 2. Apply the learner to article classification task using bag of words model 3. Evaluate classifier using 10 fold cross validation technique
项目 ID: 10426227

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Hi, Below is my experience, and I can deliver you quality work with in specified or agreed time. Myself Ph.D. in advanced analytics having 12+ years of experience in developing and delivering analytical projects using open source tools namely R, Python, Julia (including in-memory computing), and can deliver your requirement accompanied by a step-by-step word document, what each line or code means. As, freelancer.com bid does not allow for attaching; cannot showcase my expertise in this area. I am available at freelance chat (click on my name and options), to understand the requirements and explain my approach if required in detail. Waiting for your reply. Regards, Dr. Kumar PM.
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Hello, In Python, there is a function to read csv file: pd.read_csv(link, error_bad_lines=False) Also we can call the function CrossValidation(data, clf) with clf is classification algorithm. Pm me for more details. Thank you very much!
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Graduate student in computer science. Thesis degree in deep learning. Years of experience in machine learning. Current competitor at Kaggle, site of machine learning competitions. 3 years in ACM-ICPC Finals Regionals. I love machine learning
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AUSTRALIA的国旗
Sydney, Australia
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