Data Preparation for Machine Learning
Effective data preparation ensures that the machine learning algorithms receive high-quality data. This leads to improved model accuracy and robustness. Use our data preparation tool to produce well curated data for your machine learning projects.
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How modern Data Preparation tools help in Machine Learning projects
Data Preparation tools like Zoho DataPrep allow data professionals to visually and interactively explore, clean, combine, and shape data for training and deploy machine learning models and production data pipelines to accelerate innovation with AI. It cuts down the time to prepare data, such as removing duplicates and removing invalid entries, and allows data scientists to focus on insights and analysis. Teams can collaborate, reuse, and share data sources, datasets, and recipes.
Key steps involved in preparing data for machine learning
Improve your machine learning model's performance with cleaner data
Import data into Zoho DataPrep from a variety of sources including files, REST APIs, cloud storage services, databases and FTP servers
Improve Data Quality
Fix data quality issues in your data to improve the accuracy of the machine learning model.
Transform and Enrich
Use 250+ transformations to transform, enrich and prepare your data to cater to machine learning models without any coding.
Classify and catalog data, and mark datasets that are ready to be used for training your machine learning model.
"Zoho Dataprep has taken the time it takes to clean and import our data from multiple hours down to minutes. I am able to provide my clients better tracking of their key statistics because I now have an automated way to take in their third-party data."
Bob Sullivan JD
COO, Vector Solutions