This project focuses on Text pre-processing and Normalization using NLP, Sentiment analysis using the Unsupervised Lexicon-based models and classifying sentiment using Traditional supervised models.
Project Blog: https://medium.com/@danieljosephraj15/nlp-analyzing-movie-reviews-using-sentiment-analysis-b5b5f84fe8f5
The main objective is to perform data cleaning, perform analysis for testing the Influences of Global Warming on temperature and humidity, and finally put forth a conclusion.
Project Blog: https://medium.com/@danieljosephraj15/data-analytics-performing-analysis-of-meteorological-data-b704b583e184
The primary aim of this project involves predicting a numeric value, and then reading and interpreting an image that uses a handwritten font. we will have an estimator with the task of learning through a fit() function, and once it has reached a degree of predictive capability (a model sufficiently valid), it will produce a prediction with the predict() function.
Project Blog: https://medium.com/@danieljosephraj15/data-analytics-recognizing-handwritten-digits-with-scikit-learn-a6e78cd09d2b
Association Rules are widely used to analyze retail basket or transaction data, and are intended to identify strong rules discovered in transaction data using measures of interestingness, based on the concept of strong rules. The outcome of this type of technique is, in simple terms, a set of rules that can be understood as “if this, then that”.