#Regression-analysis

Showing 15 of 15 repositories tagged #regression-analysis, ranked by stars

philippe-ostiguy
philippe-ostiguy
PyBacktesting

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

Score
89
★ 176 ⑂ 52
Python
hunar4321
hunar4321
RLS-neural-net

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

Score
0
★ 57 ⑂ 9
Jupyter Notebook
ooples
ooples
AiDotNet

A new library for all of the newest ai algorithms

Score
100
★ 49 ⑂ 12
C#
Koushikphy
Koushikphy
Interactive_Data_Editor

A Software to interactively edit data in a graphical manner

Score
56
★ 47 ⑂ 10
JavaScript
AmirhosseinHonardoust
AmirhosseinHonardoust
Coffee-Shop-Profit-Predictor

Predict the profitability of potential coffee shop locations using SQL and Python. Combines data engineering with feature-rich regression modeling, visual analytics, and business insights to support data-driven site selection and retail decision-making.

Score
100
★ 43 ⑂ 0
Python
mrtkp9993
mrtkp9993
Statistical-Modeling-Examples

Basic statistical modelling examples.

Score
67
★ 41 ⑂ 17
R
meiyulee
meiyulee
MathAI

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

Score
0
★ 38 ⑂ 0
Batchfile
sharmaroshan
sharmaroshan
Big-Mart-Sales-Prediction

Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.

Score
44
★ 36 ⑂ 14
Jupyter Notebook
benthecoder
benthecoder
JohnHopkinsDataScience

My Code Repository for Coursera Data Science Specialization by John Hopkins University

Score
78
★ 29 ⑂ 24
HTML
JavierCastilloGuillen
JavierCastilloGuillen
Quantitative_Toolbox

On this repository you'll find tools used for Quantitative Analysis and some examples such: MonteCarlo Simulations, Linear Regression, General Data Visualiztions, Time-Series Analysis, etc.

Score
22
★ 28 ⑂ 9
Jupyter Notebook
NikhilaThota
NikhilaThota
CapstoneProject_House_Prices_Prediction

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.

Score
33
★ 27 ⑂ 16
Jupyter Notebook
RenatoMaynard
RenatoMaynard
Statistical-Modeling-and-Regression-Analysis-Life-Expectancy

Statistical Modeling and Regression Analysis for Life Expentancy

Score
0
★ 20 ⑂ 0
R
atifkarim
atifkarim
Time-Series-Forecasting-Using-Machine-Learning-Algorithm

Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.

Score
11
★ 17 ⑂ 2
Jupyter Notebook
quantra-go-algo
quantra-go-algo
ml-trading-ebook

Book on Machine Learning in Trading with real-world applications.

Score
0
★ 14 ⑂ 12
Jupyter Notebook
kennedyCzar
kennedyCzar
ALGORITHM-TRADING-AND-STOCK-PREDICTION-USING-MACHINE-LEARNING

ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING

Score
100
★ 14 ⑂ 13
Python
Related Topics
#machine-learning#data-science#data-analysis#data-visualization#python#regression-models#neural-network#predictive-modeling#pandas#artificial-intelligence#ai#regression

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