Bernoulli Naive Bayes algorithm

My first Android App: a small calculator for my first semester maths class, that helped my to easily solve Bernoulli calculations

A script for generating multivariate and correlated binary data.

Sentiment Analysis using the IMDB's dataset

Tweet Sentiment Analysis with Data Analysis and Machine Learning in Python. Import data from .csv files for training and testing our system with purpose to understand if a post is negative or positive. Calculate Accuracy, Precision and recall computation using Naive Bayes with BernoulliNB, Random Forest and XGBoostalgorithms. Input text from key…

A exploration into the unconventional use of logic and number theory. This project investigates the remarkable relationships that intertwine the Riemann Zeta Function, Bernoulli Numbers, and Pascal's Triangle and their potential implications for a deeper understanding of the Riemann Hypothesis.

Bernoulli numbers and Euler up/down (“zigzag”) numbers

Classification algorithms built from scratch in python

Software prediction has been used. Where the machine learning and the deep learning algorithms have been compared.

Development version of ph2rand, an R package for the design of randomized comparative phase II oncology trials

Code multiples DRVs in google collab and use problem solving to solve questions.

Bernoulli is a small python program to calculate a bernoulli trial or a bernoulli process.

Demo: https://winifier.herokuapp.com

Learned as a part of CS230 course

Python script performing sentiment analysis prediction and subreddit category classification for a given dataset

Sentiment classification of movie review comments by Naive Bayesian Model (Java)

Typical subject topics are covered, in 167 notebooks. Streamlined Mathematica shortcuts take precedence over traditional precursor methods. A number of problems are dealt with in an inept, tentative, inefficient, or erroneous manner.

Natural logarithm of the probability mass function (PMF) for a binomial distribution.