Home Welcome to the Library of Statistical Techniques (LOST)!. LOST is a publicly-editable website with the goal of making it easy to execute statistical techniques in statistical software.
Data science projects. ... Data VisualizationImporting & Cleaning Data. ... both complete and incomplete projects to add to your GitHub or any other personal ...

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Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals. Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access free GPUs and a huge repository of community published data & code.

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see other projects Karma: A Data Integration Project. ArcKarma: Efficient cleaning and transformation of geospatial data attributes (an Esri ArcGIS plugin) A significant challenge in handling geographic datasets is that the datasets can come from heterogeneous sources with various data qualities and formats.

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Connect it to github. You've now got a local git repository. You can use git locally, like that, if you want. Now, follow the second set of instructions, "Push an existing repository…" $ git remote add origin [email protected]:username/new_repo $ git push -u origin master.

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Learn how you can easily delete Github repository by navigating your repository list and deleting your repository using the user interface. As a web developer or a software engineer, you are probably using GitHub repositories on a day to day basis. As time passes, you may want to get rid of some of...

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5.1 Reconciliation. Goal: Import new author data into a new project, Use the WikiData and VIAF reconciliation services to gather authoritative versions of African American author names and an example of each author’s work, plus their placed of birth and death.

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Aug 21, 2018 · The first step is to find an appropriate, interesting data set. You should decide how large and how messy a data set you want to work with; while cleaning data is an integral part of data science, you may want to start with a clean data set for your first project so that you can focus on the analysis rather than on cleaning the data.

see other projects Karma: A Data Integration Project. ArcKarma: Efficient cleaning and transformation of geospatial data attributes (an Esri ArcGIS plugin) A significant challenge in handling geographic datasets is that the datasets can come from heterogeneous sources with various data qualities and formats.

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Github is in some sense the interface and Git the underlying engine (a bit like RStudio and R). Since we will only be using Git through Github, I tend to not distinguish between the two. In the following, I refer to all of it as just Github. Note that other interfaces to Git exist, e.g., Bitbucket, but Github is the most widely used one.

Contribute to johnost/data-cleaning-project development by creating an account on GitHub. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.

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A clean database can: lower email bounce rates, result in better personalization, and allow for marketing automation. Get simple tips to clean up Even for those that spend their career working with data, cleaning isn't necessarily the most joyous of tasks. A Forbes.com survey found that 57% of...

Upload file project on github using command - today we would love to share with you how to upload the project and file using command line (cmd). We need to create a new repository on GitHub website. Go to link and create repository click here . Click New repository from the menu on your right...

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12.2 sensor fusion of LIDAR and camera data; 13 Useful links. 13.1 Donkey car. 13.1.1 Videos for donkey car; 13.2 Parts to build a RoboCar; 13.3 Little setup helpers; 13.4 Meetup in Stuttgart area; 13.5 RoboCar projects; 13.6 Write ups on Donkeycar projects; 13.7 Other stuff; Related files on Github

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  • Getting and Cleaning Data - Project information. This is the course project for Getting and Cleaning Data Coursera course. The R script, run_analysis.R, does the following: Download the dataset if it does not already exist in the working directory. Load the activity. Load feature info.
  • Python data verification data cleaning Investigate a Dataset Posed a question about a dataset, then used NumPy and Pandas to answer that question based on the data and created a report to share the results.
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In the Data Cleaning project, our goal is to define a repertoire of "built-in" operators beyond traditional relational Fuzzy Lookup is used in Microsoft's internal master data management project that maintains information about Microsoft's customers to match new customers with existing customers.The data are available now in a .csv format, and also have two codebooks available. Everyone will start with the same data set, but will pick a subset of that data that will be different for each project. Cleaning the Data: To build your data set, which will be a sample of the full data, you will do a series of things in R.

Robin Hunt defines what data analytics is and what data analysts do. She then shows how to identify your data set—including the data you don't have—and interpret and summarize data. She also shows how to perform specialized tasks such as creating workflow diagrams, cleaning data, and joining...

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My portfolio is a representation of all that I have learned and accomplished as a BTech Data Science student. The articles and projects you will see in this portfolio show how my critical thinking skills, knowledge and experience have evolved over time. I am currently pursuing Machine Learning and Deep Learning. Connect with me: LinkedIn; Github

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but if you're using a bag of words you've got to do some cleaning. To start, all Project Gutenberg texts contain a whole bunch of front and back matter with lots of words. If you don't get rid of them you'll get extra words in your bag. I forgot to do this and was a bit surprised to see phrases like "Pay a trademark license" in the Book of Psalms.

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