Pandas is a graphical data analysis library used in Python programming language and it is one of the most popular programming libraries out there. It provides invaluable tools for data manipulation, analysis, and visualization to gain insights from structured, semi-structured and unstructured data which are crucial for building powerful algorithms and data-driven machine learning models. A Pandas Expert can be a hugely asset to your business by helping with data wrangling, cleaning, manipulation, plotting and analysis to gain a better understanding of your datasets. They can also assist in developing predictive models that help improve decision making processes.

Here's some projects that our expert Pandas Experts made real:

  • Manipulation of structured data from Excel files
  • Historical data analysis performed over multiple Excel files containing similar data across different dates
  • Comparison between two datasets
  • Developing Data Analysis scripts in CSV format with necessary comments on every action step
  • Creation of tools and visualizations based on Mark-To-Market values

At Freelancer.com our vast pool of experienced Pandas experts can help you tackle any task or challenge that you might have. From simple data manipulations to complex architectures of predictive models they can bring your project to life. As a business owner you can rest assured that Freelancer.com's experienced team has already tested each candidate so all you have to do is find the right one that meets the requirements of your project. So why not post your own project today and hire a Pandas Expert on Freelancer.com?

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    Need to remove duplicates in a self colums E,F G ,H I 1. REMOVE DUPLICATES IN COLUMN E F G H I 2. INSERT A NEW COLUMN NEXT TO E 3. USE V LOOK UP BY PYTHON SCRIPT 4. REMOVE ALL #NA AND IN H COLUM REMOVE #NA AND 0 AND REMOVE THE NEW INSERTED COLUMS ANYONE INTRESTED CAN REACH ME. POST THE DISCUSSION WE WILL CONNECT ON GOOGLE MEETS AND DISCUSS IN LIVE SHEET FOR BETTER UNDERSTANDING

    $2 / hr (Avg Bid)
    $2 / hr Avg Bid
    37 bids

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