This amazing Data Preparation Tool Helps in cleansing, structuring, and preparing messy data for evaluation. Alteryx provides the leading Analytics Automation Platform. It delivers easy end-to-end automation of information engineering, analytics, reporting, machine learning, and data science processes, enabling enterprises in all places to democratize data analytics across their organizations for a broad range of use cases . You’ll be able to Visit https://www.trifacta.com for more information .

A Python library for NLP tasks like text preprocessing, sentiment evaluation, and named entity recognition. NLTK is a number one platform for constructing Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources resembling WordNet, together with a set of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an energetic discussion forum.

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A Python library for advanced NLP tasks resembling entity recognition, dependency parsing, and text classification. It have many features like It Support for Multi-task learning with pretrained like BERT. Components for recognition, part-of-speech tagging, dependency parsing, sentence segmentation, , lemmatization, morphological evaluation, entity linking. Support for custom models in , and other frameworks etc .

It Provides AutoML capabilities for automating model selection, hyperparameter tuning, and model deployment. H2O is a totally open source, distributed in-memory machine learning platform with linear scalability. H2O supports probably the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that routinely runs through all of the algorithms and their hyperparameters to supply a leaderboard of one of the best models. The H2O platform is utilized by over 18,000 organizations globally and is incredibly popular in each the R & Python communities.