MCC functions for ML

📊 Final project for MATLAB Programming, Spring 2017, Fudan University

Analysis of some Pharmaceutical regimens used on mice.

Classification model that uses the k-nearest neighbors algorithm to determine whether a movie is a comedy or thriller based on its screenplay.

Exploratory analysis on the reduction in tumor volume for mice based on the experimentation with treatment of various drug regiments. Results have been explored and charted using Matplotlib

Statistical analysis of Bitcoin along with its relationship with major Alt-coins.

Spurious correlation simulator

Implementation of a simple recommender system with the help of correlation coefficient

Decision Making Based on the Investigation and Analysis of a Data Set Using R

Pymaceuticals Inc., is a new pharmaceutical company that specializes in anti-cancer medications. Recently, it began screening for potential treatments for squamous cell carcinoma (SCC), a commonly occurring form of skin cancer. The task of the python project is to generate all of the tables and figures needed for the technical report of the study.

Covariance and correlation matrix via Rhadoop (rmr2 and HDFS)

Python script to calculate correlation-coefficient between assets for allocation

App para calcular la ecuación de regresión lineal simple, leyendo los datos desde un archivo CSV

Hypothesis, Linear Regression, Correlation Coefficient, Student's T distribution and a bunch of other useful statistics formulas in PHP.

A study comparing the performance of a pharmaceutical versus other treatment regimens and their effects on tumor sizes in mice.

📈 This repository contains results and code for statistical data analysis, including data classification and clustering in the Python and R programming languages.

Python implementation of Cramer's V, often used to find the correlation between two categorical variables.