Pandas Freelance Jobs

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fuzzy matching exercise - i need to fuzzy match names from a land records database to an existing Table I have created.

Posted at 3 days ago
$22.07
Hourly
Oct 17, 2021
Expiry
I am an academic working on a research project, that uses data from a land records database. I need to standardize the names in the database and hence i need to fuzzy match names to one another (i.e. bnk of America is the same as Bank of America)
Toogit Instant Connect Enabled

Combining Multiple Sensor Data CSVs into a single CSV

Posted at 6 days ago
$59.12
Fixed
Sep 21, 2021
Expiry
OVERVIEWI have a collection of sensor data from 40 sites in a CSV format. There is one folder for each site. In each folder, there are many CSVs. The project is to combine each of the CSVs for a site into a single CSV with all sensor data for that site. This should be relatively trivial to do in Python, though it will require cr...read more

Outlook PST to SQL Database (Import emails from PST and OST files to DB)

Posted at 6 days ago
$28.38
Hourly
Oct 14, 2021
Expiry
We are looking to build a Desktop or WEB based tool which will allow us to UPLOAD a bunch of PST and OST files and the system will queue all files to IMPORT into any SQL database.It shouldn't import and DUPLICATE EMAILS.The system needs to be fast and prefer multithreaded so that it can process multiple files simultaneously.Syst...read more
Toogit Instant Connect Enabled

Convert ASCII file to SQL

Posted at 2 weeks ago
$78.83
Fixed
Sep 24, 2021
Expiry
I have an ASCII file and a corresponding PDF that maps out the deliminations. I need you to convert the ASCII file into a SQL table that I can then query from. The ASCII file will be provided on request (the .gz extension)You need to review a PDF and make sure you understand the mapping. If you have any query contact me directly...read more
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JSON API and Pandas Data Manipulation Expert

Posted at 4 months ago
$14.19
Hourly
May 21, 2022
Expiry
Need someone that is good with using API and proficient with pandas module in Python

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Toogit Instant Connect Enabled

Interns for Machine Learning Team

Posted at 4 months ago
$14.19
Hourly
May 14, 2022
Expiry
We are looking to bring on 2 new persons into our Data Teams. ** If you are reapplying because you were not shortlisted prior please let us know **We prefer people who are passionate about AI / Machine Learning and have some domain experience. ** Your application would be a functional GAN You do not need years of Experience just...read more
Toogit Instant Connect Enabled

Machine Learning Model Needed

Posted at 6 months ago
$275.89
Hourly
Mar 14, 2022
Expiry
Looking for an experienced data scientist/ machine learning expert for a very rudimentary problem.Preferred experience with TensorFlow or other ML libraries. Need experience with different types of ML model and how to apply to different data problems.Specifically, we have a data set of employee performance vs. employee attribut...read more

Processing email responses for intents and deciding best fit intent from multiple intents

Posted at 6 months ago
$1,576.52
Hourly
Mar 13, 2022
Expiry
We have a dataset of generic sales email responses of on average 20 word length. They are classified into the following intents at the high level - unsubscribeRequest, notInterested, alreadyInTouch, leadDoesNotHaveBuyingAuthority, busyWillRevertLater, interestedAndPossiblyMeetingRequest, connectingtoDecisionMaker, usingCompetit...read more
Toogit Instant Connect Enabled

Cognitive Systems Engineer

Posted at 10 months ago
$28.38
Hourly
Nov 20, 2021
Expiry
General IT requirements:- knowledge of Python3 / \u0421 ++ / C # / Java;- understanding of complex data structures;- desirable experience in the field of programming robotics.- knowledge of basic network protocols and client-server architecture;- experience in creating microservice architectures.- Experience in creating multi-ag...read more

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To delete a row or n rows from a pandas dataframe you can use following commandDataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise')Let's assume you have a dataframe with 100 employees data with employee id's...

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