The accuracy of the above-mentioned models was determined and compared. Among the models used, KNN Algorithm had the best accuracy. Significant factors that affect stress were found using KNN, Decision Tree, and Naive Bayes algorithms. With these findings, organizations ca...
CountVectorizersupports counts of N-grams of words or consecutive characters. Once fitted, the vectorizer has built a dictionary of feature indices: >>> count_vect.vocabulary_.get(u'algorithm') The index value of a word in the vocabulary is linked to its frequency in the whole training corpus...
JavaScript Object Notation (JSON) is another popular data format in IoT systems. In this section, we will learn how to read JSON data with Python's JSON, NumPy, and pandas packages.For this section, we will use the zips.json file, which contains US ZIP codes with city codes, geolocation...
Algorithm 1.Extraction of Feature 1: Input: dataset that has been normalized; 2: Output: A collection of features that have been extractedEsEs; 3: Step 1: for e = 1 to EID//EID—The number of working professionals who have their ID; ...
Multinomial Naive Bayes is the classic algorithm for text classification and NLP. For an instance, let’s assume a set of sentences are given which are belonging to a particular class. With new input sentence, each word is counted for its occurrence and is accounted for its commonality and ea...
AI - Elements of a Learning Agent AI - Reinforcement Learning AI - Artificial Communication AI - Components of Communicating Agents AI - Natural Language Processing (NLP) AI - Natural Language Understanding (NLU) Process Machine Learning ML - Types & Working Mechanism ML - Naive Bayes Algorithm ...