Compute a moving squared sample Pearson product-moment correlation coefficient incrementally.

Compute a squared sample Pearson product-moment correlation coefficient.

Creates a ML Pipeline leveraging PySpark SQL and PySpark MLib to predict sound level

資料科學的日常研究議題

The comparison of multiple Machine Learning models refers to training, evaluating, and analyzing the performance of different algorithms on the same dataset to identify which model performs best for a specific predictive task.

This project aims to enhance the accuracy and efficiency of stock market predictions by employing a sophisticated machine learning methodology. This project leverages the power of PySpark, a robust framework for distributed data processing, to handle large datasets and perform complex computations.

An introduction to machine learning

Multiple linear regression model based on eCommerce customers data in Python language.

Feature transformation is a technique in machine learning that is used to modify the original features of a dataset in order to improve the performance of machine learning algorithms.

Probability and Statistics for Machine Learning

Gold Price Prediction

Predicting annual highest of sneakers on StockX

An introduction into the world of machine learning with a comprehensive Udemy online course, designed for beginners, to learn Python programming fundamentals and gain valuable insights into the practical applications of machine learning.

Heart Risk Level Predicting Regression Model 💔

Functional specification to calculate per country's happiness score

project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.

To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)

Performing multiple linear regression on a simple dataset.

An npm package to make it easier to deal with a handful of values, and try to model them in one of the most used mathematical models, with an R/Numpy-like accuracy algorithm