Statistical Data Analysis With Python
About this ad
I work on jupyter notebook for data science and data analysis. We develop professional Jupyter Notebooks with proper comments at each step. We use pandas python library to serve the purpose. We also work on Numpy,Scipy and Visualization.15$ Economy Package:
Any Data File Type
Data importing
Data Exploring
Data Cleaning
Data Pre-processing
Solve or fix Pandas / numpy issues
Visualization of Data
Provide Source Code
Provide a PDF file of the jupyter notebook
2 Revisions
30$ Standard Package:
Data Cleaning using Interpolation
Data processing using statistical techniques
Represent the Rules extracted
Make graphs of the results
Two to Five Notebooks
PDF file for each Notebook
Proper comments at each step
5 revisions
50$ Premium Package:
Data Conversion and mapping
Apply ML Algorithms on imported data
Represent the Rules Visually
And Save The Results in any other type of file
Proper Comments and Html Design
Five to ten Notebooks
PDF file for each Notebook
Unlimited Revisions
Note:Please Discuss Before Placing the Order.
We ensure 100% Customer Satisfaction
Happy Ordering!!! Stay Blessed!!!
About the seller
Reviews on the ad
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Amit C. 28 days ago
Excellent workby
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Paul L. 18 days ago
Great job
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Mike N. 29 days ago
Excellent work
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Francis Q. 20 days ago
Outstanding work, thanks..
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Justin A. 23 days ago
Very prompt, understood the concept immediately and will certainlyy work with him again
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Kieran C. 28 days ago
Ok at design but said that he would do a wholesale site for. He didn't really know anything about setting up a wholsale site. Very disappointed.
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Paul J. 9 days ago
Great
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Musanaph A. 29 days ago
Fantastic, thank you for your support, advice and effort. Highly recommended.
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Nuha W. 6 days ago
Perfect work. Patient with the Costomer. Professional
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Aaron O. 26 days ago
Absolutely amazing work, great time and effort put into our project. Continued a good length of time and the support and quality offered was amazing. Highly recommend and any website work I will ever do I will do with Vishal!