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Category: Google Colab

How to import Kaggle datasets directly into Google Colab?

How to import Kaggle datasets directly into Google Colab?

Kaggle is a popular online platform for data science and machine learning competitions, datasets, and tutorials. You can find high-quality data on Kaggle to practice data analysis. I have uploaded some of my data on Kaggle to share it with others. Recently, I’ve begun learning machine learning, and one of the most fundamental datasets for this purpose is the Titanic dataset. By visiting the website below, you can download the Titanic survivor data and practice machine learning with this foundational…

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How to Upload Data from GitHub Using R and Python?

How to Upload Data from GitHub Using R and Python?

I have soybean yield data that I want to upload to Github and access from R. First, let’s upload the data to Github. The data should be in .csv format. Click Add file, choose Upload files, and, after uploading, select the Raw button to view the data in .csv format as text. and you can find the address for this data, starting with https://raw.githubusercontent.com/… Let’s copy this address. Next, I’ll bring this data into R from Github. Before that, let’s…

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How to Specify a Folder Path in Google Colab: A Tutorial

How to Specify a Folder Path in Google Colab: A Tutorial

□ How to use Google Colab for Python (power tool to analyze data)? Last time, I introduced how to mount your Google Drive in Google Colab. This time, I will explain how to set a folder path in Google Colab. First, let’s establish the connection between Google Colab and your Google Drive. The code is as follows: Then, the folders from your Google Drive will appear in the left sidebar of Google Colab. I created a folder called “coding_practice” in…

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How to use Google Colab for Python (power tool to analyze data)?

How to use Google Colab for Python (power tool to analyze data)?

Google Colaboratory (aka. Colab) is a cloud-based platform that provides a Jupyter notebook environment and therefore users can write and run Python code. You don’t have to install Anaconda to use Jupyter notebook. If you have a google account, simply you can analyze data. Google Colab is a powerful tool for collaborative coding and data analysis, providing users with an easy-to-use platform with a wide range of features and resource. I introduce how to set up Google Colab. Step 1)…

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