On Some Test Statistics for Coefficients in the Ridge, Liu and Kibria–Lukman Linear Regression Models: A Simulation Study
@tandfresearch.bsky.social @amstatnews.bsky.social #LinearRegression #Simulation www.tandfonline.com/doi/full/10....
@tandfresearch.bsky.social @amstatnews.bsky.social #LinearRegression #Simulation www.tandfonline.com/doi/full/10....
On Some Test Statistics for Coefficients in the Ridge, Liu and Kibria–Lukman Linear Regression Models: A Simulation Study
Ridge, Liu, and Kibria–Lukman regression methods that have been proposed to solve the multicollinearity problem for both linear and generalized linear regression models (Kibria and Lukman, Shewa an...
www.tandfonline.com
September 29, 2025 at 9:40 AM
On Some Test Statistics for Coefficients in the Ridge, Liu and Kibria–Lukman Linear Regression Models: A Simulation Study
@tandfresearch.bsky.social @amstatnews.bsky.social #LinearRegression #Simulation www.tandfonline.com/doi/full/10....
@tandfresearch.bsky.social @amstatnews.bsky.social #LinearRegression #Simulation www.tandfonline.com/doi/full/10....
The new Effects Plot in OriginPro’s Design of Experiments (DOE) and General Linear Regression (GLR) apps allows users to easily identify significant terms in their model
www.originlab.com/fileExchange... #OriginPro #GLR #GeneralLinearRegression #LinearRegression #EffectPlot #DOE #DesignofExperiments
www.originlab.com/fileExchange... #OriginPro #GLR #GeneralLinearRegression #LinearRegression #EffectPlot #DOE #DesignofExperiments
October 29, 2025 at 7:27 PM
The new Effects Plot in OriginPro’s Design of Experiments (DOE) and General Linear Regression (GLR) apps allows users to easily identify significant terms in their model
www.originlab.com/fileExchange... #OriginPro #GLR #GeneralLinearRegression #LinearRegression #EffectPlot #DOE #DesignofExperiments
www.originlab.com/fileExchange... #OriginPro #GLR #GeneralLinearRegression #LinearRegression #EffectPlot #DOE #DesignofExperiments
January 31, 2025 at 2:34 AM
April 3, 2025 at 8:51 PM
An Overfitting dilemma: XGBoost Default Hyperparameters vs GenericBooster + LinearRegression Default Hyperparameters
https://thierrymoudiki.github.io/blog/2025/06/14/python/xgboost-default-overfitting
#Techtonique #DataScience #Python #rstats #MachineLearning
https://thierrymoudiki.github.io/blog/2025/06/14/python/xgboost-default-overfitting
#Techtonique #DataScience #Python #rstats #MachineLearning
July 9, 2025 at 8:20 PM
An Overfitting dilemma: XGBoost Default Hyperparameters vs GenericBooster + LinearRegression Default Hyperparameters
https://thierrymoudiki.github.io/blog/2025/06/14/python/xgboost-default-overfitting
#Techtonique #DataScience #Python #rstats #MachineLearning
https://thierrymoudiki.github.io/blog/2025/06/14/python/xgboost-default-overfitting
#Techtonique #DataScience #Python #rstats #MachineLearning
Improve your understanding of linear regression models and learn about extending the use of linear methods to situations with nonlinear relationships and interactions among variables in this online workshop. For more details: myumi.ch/kZgRm
#SumProg25 #ICPSR #LinearRegression #NonlinearModels
#SumProg25 #ICPSR #LinearRegression #NonlinearModels
May 27, 2025 at 6:00 PM
Improve your understanding of linear regression models and learn about extending the use of linear methods to situations with nonlinear relationships and interactions among variables in this online workshop. For more details: myumi.ch/kZgRm
#SumProg25 #ICPSR #LinearRegression #NonlinearModels
#SumProg25 #ICPSR #LinearRegression #NonlinearModels
Prepare for SAS/STAT certification, focusing on variance analysis, regression, and model performance. | CoListy
#freeonlinelearning #colisty #courselist #sas/stat #statisticalanalysis #linearregression #logisticregression
colisty.netlify.app/courses/sas-...
#freeonlinelearning #colisty #courselist #sas/stat #statisticalanalysis #linearregression #logisticregression
colisty.netlify.app/courses/sas-...
Master SAS/STAT for Complex Statistical Analysis
Prepare for SAS/STAT certification, focusing on variance analysis, regression, and model performance. | CoListy
colisty.netlify.app
January 16, 2025 at 4:21 PM
Prepare for SAS/STAT certification, focusing on variance analysis, regression, and model performance. | CoListy
#freeonlinelearning #colisty #courselist #sas/stat #statisticalanalysis #linearregression #logisticregression
colisty.netlify.app/courses/sas-...
#freeonlinelearning #colisty #courselist #sas/stat #statisticalanalysis #linearregression #logisticregression
colisty.netlify.app/courses/sas-...
Stepwise regression options are now available under OriginPro's Design of Experiments (DOE) and General Linear Regression (GLR) apps.
www.originlab.com/fileExchange...
#GLR #GeneralLinearRegression #LinearRegression #StepwiseRegression #DOE #DesignofExperiments #OriginPro #OriginPro2025b #originlab
www.originlab.com/fileExchange...
#GLR #GeneralLinearRegression #LinearRegression #StepwiseRegression #DOE #DesignofExperiments #OriginPro #OriginPro2025b #originlab
October 23, 2025 at 3:38 AM
Stepwise regression options are now available under OriginPro's Design of Experiments (DOE) and General Linear Regression (GLR) apps.
www.originlab.com/fileExchange...
#GLR #GeneralLinearRegression #LinearRegression #StepwiseRegression #DOE #DesignofExperiments #OriginPro #OriginPro2025b #originlab
www.originlab.com/fileExchange...
#GLR #GeneralLinearRegression #LinearRegression #StepwiseRegression #DOE #DesignofExperiments #OriginPro #OriginPro2025b #originlab
Unlock the secrets of Linear Regression Machine Learning! A comprehensive guide for beginners. Dive into predictive modeling and data analysis. #MachineLearning #LinearRegression #DataScience
Unlocking the Power of Linear Regression Machine Learning: A Comprehensive Guide
Machine learning is revolutionizing how we understand data and make predictions. At its heart lies a spectrum of powerful algorithms, and among the most fundamental and widely used is Linear Regression Machine Learning. This guide will take you on a journey from the core concepts to practical implementation, equipping you with the foundational understanding to build impactful predictive models. We'll dissect the theoretical underpinnings, explore the mechanics of how these models learn, and walk through practical steps. Whether you're a budding data scientist or an experienced engineer looking to solidify your understanding, this article aims to provide clarity and actionable insights, drawing inspiration from fundamental machine learning lectures.
teguhteja.id
October 31, 2025 at 2:01 AM
Unlock the secrets of Linear Regression Machine Learning! A comprehensive guide for beginners. Dive into predictive modeling and data analysis. #MachineLearning #LinearRegression #DataScience
13 videos of OriginPro 2025b’s Quality Improvement tools in real-world applications to optimize processes and improve quality
#SixSigma #LeanManufacturing #GreenBelt #BlackBelt
#QualityImprovement #QualityControl #DOE#SPC #LinearRegression #GLR #MLR #GageStudy #ToleranceInterval #OriginPro
#SixSigma #LeanManufacturing #GreenBelt #BlackBelt
#QualityImprovement #QualityControl #DOE#SPC #LinearRegression #GLR #MLR #GageStudy #ToleranceInterval #OriginPro
Advanced Quality Improvement Tools in OriginPro - YouTube
Origin’s Advanced Quality Improvement playlist is built for companies embracing Lean Manufacturing. Through real-life applications, you’ll learn powerful too...
www.youtube.com
September 29, 2025 at 1:23 PM
13 videos of OriginPro 2025b’s Quality Improvement tools in real-world applications to optimize processes and improve quality
#SixSigma #LeanManufacturing #GreenBelt #BlackBelt
#QualityImprovement #QualityControl #DOE#SPC #LinearRegression #GLR #MLR #GageStudy #ToleranceInterval #OriginPro
#SixSigma #LeanManufacturing #GreenBelt #BlackBelt
#QualityImprovement #QualityControl #DOE#SPC #LinearRegression #GLR #MLR #GageStudy #ToleranceInterval #OriginPro
An Overfitting dilemma: XGBoost Default Hyperparameters vs GenericBooster + LinearRegression Default Hyperparameters
https://thierrymoudiki.github.io/blog/2025/06/14/python/xgboost-default-overfitting
#Techtonique #DataScience #Python #rstats #MachineLearning
https://thierrymoudiki.github.io/blog/2025/06/14/python/xgboost-default-overfitting
#Techtonique #DataScience #Python #rstats #MachineLearning
October 19, 2025 at 9:58 PM
An Overfitting dilemma: XGBoost Default Hyperparameters vs GenericBooster + LinearRegression Default Hyperparameters
https://thierrymoudiki.github.io/blog/2025/06/14/python/xgboost-default-overfitting
#Techtonique #DataScience #Python #rstats #MachineLearning
https://thierrymoudiki.github.io/blog/2025/06/14/python/xgboost-default-overfitting
#Techtonique #DataScience #Python #rstats #MachineLearning
The Coding Train dude is precious. This is the Math teacher I wish I had for every grade I was taught math. www.youtube.com/watch?v=szXb... #math #mathematics #linearregression
3.2: Linear Regression with Ordinary Least Squares Part 1 - Intelligence and Learning
YouTube video by The Coding Train
www.youtube.com
November 24, 2024 at 1:50 PM
The Coding Train dude is precious. This is the Math teacher I wish I had for every grade I was taught math. www.youtube.com/watch?v=szXb... #math #mathematics #linearregression
Test your analytics knowledge! Which of these is a real-world example of #LinearRegression?
1. Campaign performance
2. Sales & revenue
3. Housing price predictions
4. Financial forecasting
5. Medical diagnoses
Trick question! It's all of them.
More:
🔗 calibrate-analytics.com/insights/202...
1. Campaign performance
2. Sales & revenue
3. Housing price predictions
4. Financial forecasting
5. Medical diagnoses
Trick question! It's all of them.
More:
🔗 calibrate-analytics.com/insights/202...
September 11, 2025 at 5:05 PM
Test your analytics knowledge! Which of these is a real-world example of #LinearRegression?
1. Campaign performance
2. Sales & revenue
3. Housing price predictions
4. Financial forecasting
5. Medical diagnoses
Trick question! It's all of them.
More:
🔗 calibrate-analytics.com/insights/202...
1. Campaign performance
2. Sales & revenue
3. Housing price predictions
4. Financial forecasting
5. Medical diagnoses
Trick question! It's all of them.
More:
🔗 calibrate-analytics.com/insights/202...
let's hear it for #linearregression everyone
February 27, 2025 at 12:36 AM
let's hear it for #linearregression everyone
An Overfitting dilemma: XGBoost Default Hyperparameters vs GenericBooster + LinearRegression Default Hyperparameters
thierrymoudiki.github.io/blog/2025/06...
#python #machinelearning
thierrymoudiki.github.io/blog/2025/06...
#python #machinelearning
June 16, 2025 at 12:54 PM
An Overfitting dilemma: XGBoost Default Hyperparameters vs GenericBooster + LinearRegression Default Hyperparameters
thierrymoudiki.github.io/blog/2025/06...
#python #machinelearning
thierrymoudiki.github.io/blog/2025/06...
#python #machinelearning
How to Train Machine Learning model withou ML Library with simple Python code a internal work ? then follow below link - it has video also
amitdhanani.in/2025/02/15/h...
#machinelearning #python #linearregression #ml #mlwithoutlibrary #pythonml #supervisedLearning
amitdhanani.in/2025/02/15/h...
#machinelearning #python #linearregression #ml #mlwithoutlibrary #pythonml #supervisedLearning
How to Train Machine Learning model withou ML Library with simple Python code a internal work ?
Do you want to know How Machine Learning Work Internally With Respect to Training Please follow below video on YouTube and Following Presentation It cover how to use Python coding without ML Librar…
amitdhanani.in
February 15, 2025 at 2:36 PM
How to Train Machine Learning model withou ML Library with simple Python code a internal work ? then follow below link - it has video also
amitdhanani.in/2025/02/15/h...
#machinelearning #python #linearregression #ml #mlwithoutlibrary #pythonml #supervisedLearning
amitdhanani.in/2025/02/15/h...
#machinelearning #python #linearregression #ml #mlwithoutlibrary #pythonml #supervisedLearning
[#phimscience] 📢New work by @MathildeChen & coll#ClimateData ⛈️#MachineLearning #LinearRegression models 📉 💻 to predict #soybean yields
Funded by @CLAND_saclay with @MiaParisSaclay @AgroParisTech @CIRAD
▶️More detail lnkd.in/e5PRxSQM via @IOPenvironment
Funded by @CLAND_saclay with @MiaParisSaclay @AgroParisTech @CIRAD
▶️More detail lnkd.in/e5PRxSQM via @IOPenvironment
April 25, 2024 at 10:59 PM
[#phimscience] 📢New work by @MathildeChen & coll#ClimateData ⛈️#MachineLearning #LinearRegression models 📉 💻 to predict #soybean yields
Funded by @CLAND_saclay with @MiaParisSaclay @AgroParisTech @CIRAD
▶️More detail lnkd.in/e5PRxSQM via @IOPenvironment
Funded by @CLAND_saclay with @MiaParisSaclay @AgroParisTech @CIRAD
▶️More detail lnkd.in/e5PRxSQM via @IOPenvironment
Analyze about 60k rows in 60 seconds using #chatgpt4 #descriptivestatistics #quantitativeanalysis #predictiveanalytics #linearregression #chatgptprompts youtu.be/gpd0VnjijP8
March 26, 2024 at 3:50 PM
Analyze about 60k rows in 60 seconds using #chatgpt4 #descriptivestatistics #quantitativeanalysis #predictiveanalytics #linearregression #chatgptprompts youtu.be/gpd0VnjijP8
なーにがfrom sklearn.linear_model import LinearRegressionだ。ライブラリ覚えきれへんて
March 23, 2025 at 4:06 PM
なーにがfrom sklearn.linear_model import LinearRegressionだ。ライブラリ覚えきれへんて
1/ First up: Predictive AI 📊
These models help predict numbers, trends & patterns.
Example: Want to train your own regression model and predict how coffee affects your sleep? regression-js has got you covered!
#linearregression #regression #mlmodels
https://buff.ly/3VfPwPF
These models help predict numbers, trends & patterns.
Example: Want to train your own regression model and predict how coffee affects your sleep? regression-js has got you covered!
#linearregression #regression #mlmodels
https://buff.ly/3VfPwPF
December 1, 2024 at 9:30 AM
1/ First up: Predictive AI 📊
These models help predict numbers, trends & patterns.
Example: Want to train your own regression model and predict how coffee affects your sleep? regression-js has got you covered!
#linearregression #regression #mlmodels
https://buff.ly/3VfPwPF
These models help predict numbers, trends & patterns.
Example: Want to train your own regression model and predict how coffee affects your sleep? regression-js has got you covered!
#linearregression #regression #mlmodels
https://buff.ly/3VfPwPF
9 FLAWS of ‘Summary’ Function You DIDN’T Know About and How to Fix Them
Short video for details: youtu.be/BxfNyDzULmg
#rstats #statistics #dataanalysis #stats #datascience #r4ds #linearregression
Short video for details: youtu.be/BxfNyDzULmg
#rstats #statistics #dataanalysis #stats #datascience #r4ds #linearregression
December 3, 2024 at 3:15 PM
9 FLAWS of ‘Summary’ Function You DIDN’T Know About and How to Fix Them
Short video for details: youtu.be/BxfNyDzULmg
#rstats #statistics #dataanalysis #stats #datascience #r4ds #linearregression
Short video for details: youtu.be/BxfNyDzULmg
#rstats #statistics #dataanalysis #stats #datascience #r4ds #linearregression
🛠️ Model trained! Used LinearRegression as our baseline for the NYC taxi dataset.
The focus now shifts from training to understanding performance over time.
Monitoring is where real MLOps begins 🚀
#MLOpsZoomcamp #DataTalksClub
The focus now shifts from training to understanding performance over time.
Monitoring is where real MLOps begins 🚀
#MLOpsZoomcamp #DataTalksClub
June 23, 2025 at 9:34 PM
🛠️ Model trained! Used LinearRegression as our baseline for the NYC taxi dataset.
The focus now shifts from training to understanding performance over time.
Monitoring is where real MLOps begins 🚀
#MLOpsZoomcamp #DataTalksClub
The focus now shifts from training to understanding performance over time.
Monitoring is where real MLOps begins 🚀
#MLOpsZoomcamp #DataTalksClub
Stephen Mansour is presenting Taming Regression using APL at #Dyalog24. From algebra to non-linear regression, APL’s power in handling these mathematical models is impressive. #APL #LinearRegression #DataScience #Math #Tech
September 17, 2024 at 8:25 AM
Stephen Mansour is presenting Taming Regression using APL at #Dyalog24. From algebra to non-linear regression, APL’s power in handling these mathematical models is impressive. #APL #LinearRegression #DataScience #Math #Tech
I love #R. But don't understand how it is simpler than #Python.
import pandas as pd
from sklearn.linear_model import LinearRegression
df = pd.read_csv('mtcars.csv')
X = df[['wt']]
y = df['mpg']
model = LinearRegression().fit(X, y)
print(f"Slope: {model.coef_[0]}, Intercept: {model.intercept_}")
import pandas as pd
from sklearn.linear_model import LinearRegression
df = pd.read_csv('mtcars.csv')
X = df[['wt']]
y = df['mpg']
model = LinearRegression().fit(X, y)
print(f"Slope: {model.coef_[0]}, Intercept: {model.intercept_}")
I'm amazed how simple #rstats stuff can completely amaze others
I was teaching python users R today and I was shocked that they were impressed the most with lm() and that you can do linear regression in 1-2 lines of code
We couldn't get beyond that in the training. Such an interesting experience.
I was teaching python users R today and I was shocked that they were impressed the most with lm() and that you can do linear regression in 1-2 lines of code
We couldn't get beyond that in the training. Such an interesting experience.
March 1, 2025 at 10:38 PM
I love #R. But don't understand how it is simpler than #Python.
import pandas as pd
from sklearn.linear_model import LinearRegression
df = pd.read_csv('mtcars.csv')
X = df[['wt']]
y = df['mpg']
model = LinearRegression().fit(X, y)
print(f"Slope: {model.coef_[0]}, Intercept: {model.intercept_}")
import pandas as pd
from sklearn.linear_model import LinearRegression
df = pd.read_csv('mtcars.csv')
X = df[['wt']]
y = df['mpg']
model = LinearRegression().fit(X, y)
print(f"Slope: {model.coef_[0]}, Intercept: {model.intercept_}")