Introduction to NLTK library in PythonIntroduction to NLTK library in Python

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NLTK is an essential library supports tasks such as classification, stemming, tagging, parsing, semantic reasoning, and tokenization in Python. It’s basically your main tool for natural language processing and machine learning. Today it serves as an educational foundation for Python developers who are dipping their toes in this field (and


Machine Learning Useful LinksMachine Learning Useful Links

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In this guide I am sharing some useful links related to Machine Learning and Algorithms. These tutorial will help anyone preparing for ML algorithm or learning about ML in general. Machine Learning:https://www.edureka.co/blog/interview-questions/machine-learning-interview-questions/ https://www.springboard.com/blog/machine-learning-interview-questions/ https://www.analyticsvidhya.com/blog/2016/09/40-interview-questions-asked-at-startups-in-machine-learning-data-science/ Confusion Matrix:https://towardsdatascience.com/beyond-accuracy-precision-and-recall-3da06bea9f6c https://www.kdnuggets.com/2020/01/guide-precision-recall-confusion-matrix.html#: Logistic Regression: https://www.datacamp.com/community/tutorials/understanding-logistic-regression-python Decision Tree: https://www.edureka.co/blog/decision-trees/ https://www.geeksforgeeks.org/decision-tree-introduction-example/ Random Forest: https://towardsdatascience.com/an-implementation-and-explanation-of-the-random-forest-in-python-77bf308a9b76 https://www.analyticsvidhya.com/blog/2015/06/tuning-random-forest-model/#:~:text=n_estimators%20%3A,but%20makes%20your%20code%20slower. Naive Bayes:


Python Tips and TricksPython Tips and Tricks

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Python is a beautiful language. It is an interpreted, high-level, general-purpose programming language. Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented, and functional programming. Following are the python tips and tricks every Python programmer should know. Create a single string from all the elements in list Return Multiple Values From Functions Find The Most