A CLI to run all kinds of code quality measurements to align your team with company goals

🚀 Optimizing the Elliott Wave Theory using genetic algorithms to forecast the financial markets.

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Test/benchmark regression and comparison system with dashboard

Probability and Statistics, Events, Random variables, Distributions, Moments, Main Limit Theorems, Hypothesis, Regression and more. Statistical Computing and Graphics with R.

Java·Applied·Geodesy·3D - Least-Squares Adjustment Software for Geodetic Sciences

Data science investigations into the mechanics of the world's greatest role playing game

Recursive Leasting Squares (RLS) with Neural Network for fast learning

Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display methodology.

A Software to interactively edit data in a graphical manner

Basic statistical modelling examples.

Implementation of a Partial Least Squares Regressor

Benchmark results repository service

Football player rating analysis and position recommendation

Source Code Automated Refactoring Toolkit

免費數字驅動的數學模型人工智能 | 為你的數字規律建立數學模型 | C語言免安裝軟體

Bellabeat Case Study - Google Data Analytics Capstone

Fast estimation of generalized linear models with high dimensional categorical variables in Julia

A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions vali…

🚗 Solving the problem of predicting the price of a used car using Sklearn's supervised machine learning techniques.