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scikit-learn
scikit-learn

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scikit-learn
scikit-learn

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398
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24
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scikit-learn vs scikit-learn: What are the differences?

What is scikit-learn? Easy-to-use and general-purpose machine learning in Python. scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

What is scikit-learn? Easy-to-use and general-purpose machine learning in Python. scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

scikit-learn and scikit-learn can be categorized as "Machine Learning" tools.

"Scientific computing" is the primary reason why developers consider scikit-learn over the competitors, whereas "Scientific computing" was stated as the key factor in picking scikit-learn.

scikit-learn and scikit-learn are both open source tools. scikit-learn with 36K GitHub stars and 17.6K forks on GitHub appears to be more popular than scikit-learn with 36K GitHub stars and 17.6K GitHub forks.

Repro, MonkeyLearn, and Home61 are some of the popular companies that use scikit-learn, whereas scikit-learn is used by Repro, MonkeyLearn, and Home61. scikit-learn has a broader approval, being mentioned in 71 company stacks & 40 developers stacks; compared to scikit-learn, which is listed in 71 company stacks and 40 developer stacks.

What is scikit-learn?

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

What is scikit-learn?

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
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Why do developers choose scikit-learn?
Why do developers choose scikit-learn?
What companies use scikit-learn?
What companies use scikit-learn?

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What tools integrate with scikit-learn?
What tools integrate with scikit-learn?

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What are some alternatives to scikit-learn and scikit-learn?
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
H2O
H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.
XGBoost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
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Decisions about scikit-learn and scikit-learn
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How developers use scikit-learn and scikit-learn
Avatar of Eliana Abraham
Eliana Abraham uses scikit-learnscikit-learn

Machine Learning in EECS 445

How much does scikit-learn cost?
How much does scikit-learn cost?
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