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Implementing PCA on Doc2vec vectors

₹600-1500 INR

Closed
Posted over 3 years ago

₹600-1500 INR

Paid on delivery
To figure out how many labels the clustering finds and how many members each label has. Also for visualization, perform a 2 PCA transformation and use PC1 and PC2 as the X and Y axes of a 2-D scatter plot to show all data points. Show the different DBSCAN clusters in different colors on the data points. Things to do with the PCA results: Perform a PCA analysis with number of components from 2 to 300 Show a plot where on the X-axis the number of components is shown and on the Y-Axis the total explained variance using this number of components.
Project ID: 28400191

About the project

5 proposals
Remote project
Active 3 yrs ago

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5 freelancers are bidding on average ₹1,980 INR for this job
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Hello, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python, JAVA and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.
₹5,050 INR in 7 days
5.0 (2 reviews)
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would you like to be my first client please? i am python developer and will do this task in your budget please contact. i will be very thankful to you.
₹1,450 INR in 4 days
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I have 5 years experience in Python and machine project for NLP project word2vec and clustering use Using K- means clustering ane KNN algorithms .For your requirement I can help you to Model and plot 2D . thanks you regard Nitin Faye
₹950 INR in 3 days
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Hi, I'm an ml engineer with a 2y experience at CV and NLP. I have experience at similar tasks, like w2v/BERT visualization and clustering, and finding an optimal number of clusters.
₹1,050 INR in 7 days
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Hi, Your job post grab my attention instantly, 1) Applying DBSCAN algorithm is better than K-Means and hierarchical clustering when your dataset have many outliers. 2) PCA plays an important role in visualization of data when you higher dimension of dataset. So, how could your problem can be solved? I am experience in developing and solving these kinds of problems. And this type of problem is not hassle for me. I will provide you some beneficial advantages like give your report, and intuitively understanding of this algorithm how it works. Feel free to ask me anything related your job post. Best Regards, Osama ML
₹1,400 INR in 3 days
0.0 (0 reviews)
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About the client

Flag of GERMANY
Mannheim, Germany
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Member since Jul 21, 2020

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