【2021】10大熱門精選經濟學 迴歸分析線上課程推薦，值得你參考！

① 84 折 Deep Learning Prerequisites: Linear Regression in Python

Data science, machine learning, and artificial intelligence in Python for students and professionals

導師: Lazy Programmer Inc.

課程上次更新 3/2021

評分:4.6

學生:
26983 ↑

時長:6小時 25分

售價

2,990 元

特價

470元

👉 課程資訊

透過這堂課，你將學會👇

• Derive and solve a linear regression model, and apply it appropriately to data science problems
• Program your own version of a linear regression model in Python

② 20 折 Deep Learning Foundation : Linear Regression and Statistics

Learn linear regression from scratch, Statistics, R-Squared, Python, Gradient descent, Deep Learning, Machine Learning

導師: Jay Bhatt

課程上次更新 2/2021

評分:4.9

學生:
9082 ↑

時長:6小時 31分

售價

590 元

特價

470元

👉 課程資訊

透過這堂課，你將學會👇

• Mathematics behind R-Squared, Linear Regression,VIF and more!
• Deep understating of Gradient descent and Optimization
• Program your own version of a linear regression model in Python
• Derive and solve a linear regression model, and implement it appropriately to data science problems
• Statistical background of Linear regression and Assumptions
• Assumptions of linear regression hypothesis testing
• Writing codes for T-Test, Z-Test and Chi-Squared Test in python

③ 20 折 Complete Linear Regression Analysis in Python

Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also

導師: Start-Tech Academy

課程上次更新 4/2021

評分:4.2

學生:
117345 ↑

時長:7小時 29分

售價

590 元

特價

470元

👉 課程資訊

透過這堂課，你將學會👇

• Learn how to solve real life problem using the Linear Regression technique
• Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression
• Predict future outcomes basis past data by implementing Simplest Machine Learning algorithm
• Understand how to interpret the result of Linear Regression model and translate them into actionable insight
• Understanding of basics of statistics and concepts of Machine Learning
• Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem
• Learn advanced variations of OLS method of Linear Regression
• Course contains a end-to-end DIY project to implement your learnings from the lectures

④ 84 折 Regression Analysis / Data Analytics in Regression

Gain Important and Highly Marketable Skills in Regression Analysis – Tame the Regression Beast Today!

導師: Quantitative Specialists

課程上次更新 11/2017

評分:4.5

學生:
3963 ↑

時長:2小時 9分

售價

2,990 元

特價

470元

👉 課程資訊

透過這堂課，你將學會👇

• Understand when to use simple, multiple, and hierarchical regression
• Understand the meaning of R-Square and the role it plays in regression
• Assess a regression model for statistical significance, including both the overall model and the individual predictors
• Effectively utilize regression models in your own work and be able to critically evaluate the work of others
• Understand predicted values and their role in the overall quality of a regression model
• Understand hierarchical regression, including its purpose and when it should be used
• Use regression to assess the relative value of competing predictors
• Make business decisions about the best models to maximize profits while minimizing risk
• Critically evaluate regression models used by others
• Learn how to conduct correlation and regression using both IBM SPSS and Microsoft Excel

⑤ 84 折 Regression Analysis for Statistics & Machine Learning in R

Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in R

導師: Minerva Singh

課程上次更新 11/2020

評分:4.6

學生:
3928 ↑

時長:7小時 26分

售價

2,990 元

特價

470元

👉 課程資訊

透過這堂課，你將學會👇

• Implement and infer Ordinary Least Square (OLS) regression using R
• Apply statistical and machine learning based regression models to deals with problems such as multicollinearity
• Carry out variable selection and assess model accuracy using techniques like cross-validation
• Implement and infer Generalized Linear Models (GLMS), including using logistic regression as a binary classifier
• Build machine learning based regression models and test their robustness in R
• Learn when and how machine learning models should be applied
• Compare different different machine learning algorithms for regression modelling

⑥ 84 折 Machine Learning Regression Masterclass in Python

Build 8+ Practical Projects and Master Machine Learning Regression Techniques Using Python, Scikit Learn and Keras

導師: Dr. Ryan Ahmed, Ph.D., MBA,Mitchell Bouchard,Ligency Team

課程上次更新 4/2021

評分:4.5

學生:
3483 ↑

時長:10小時 21分

售價

2,990 元

特價

470元

👉 課程資訊

透過這堂課，你將學會👇

• Master Python programming and Scikit learn as applied to machine learning regression
• Understand the underlying theory behind simple and multiple linear regression techniques
• Apply simple linear regression techniques to predict product sales volume and vehicle fuel economy
• Apply multiple linear regression to predict stock prices and Universities acceptance rate
• Cover the basics and underlying theory of polynomial regression
• Apply polynomial regression to predict employees’ salary and commodity prices
• Understand the theory behind logistic regression
• Apply logistic regression to predict the probability that customer will purchase a product on Amazon using customer features

⑦ 20 折 ML for Business Managers: Build Regression model in R Studio

Simple Regression & Multiple Regression| must-know for Machine Learning & Econometrics | Linear Regression in R studio

導師: Start-Tech Academy

課程上次更新 4/2021

評分:4.4

學生:
55456 ↑

時長:6小時 22分

售價

590 元

特價

470元

👉 課程資訊

透過這堂課，你將學會👇

• Learn how to solve real life problem using the Linear Regression technique
• Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression
• Predict future outcomes basis past data by implementing Simplest Machine Learning algorithm
• Understand how to interpret the result of Linear Regression model and translate them into actionable insight
• Understanding of basics of statistics and concepts of Machine Learning
• Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem
• Learn advanced variations of OLS method of Linear Regression
• Course contains a end-to-end DIY project to implement your learnings from the lectures

⑧ 20 折 Learn Statistics and Regression Modeling for Data Science

Learn statistics and build regression models step by step through real business scenarios

導師: Data Science Guide

課程上次更新 3/2021

評分:4.6

學生:
544 ↑

時長:5小時 16分

售價

590 元

特價

470元

👉 課程資訊

透過這堂課，你將學會👇

• Learn about different types of Regression Models and their use
• Run Regression Analysis in several computer applications
• Learn in detail to build Linear Regression Model and Logistic Model which are highly used in business analysis
• Interpret the results of the Regression Analysis and translate them to business recommendations
• Build Regression Models and use them in your business
• Assess quality and efficiency of your model using several measures and indicators
• Hands on three real business scenarios

⑨ 74 折 The STATA OMNIBUS: Regression and Modelling with STATA

4 COURSES IN 1! Includes introduction to Linear and Non-Linear Regression, Regression Modelling and STATA. Updated Freq.

導師: F. Buscha

課程上次更新 4/2021

評分:4.5

學生:
1017 ↑

時長:18小時 43分

售價

1,790 元

特價

470元

👉 課程資訊

透過這堂課，你將學會👇

• The theory behind linear and non-linear regression analysis.
• To be at ease with regression terminology.
• The assumptions and requirements of Ordinary Least Squares (OLS) regression.
• To comfortably interpret and analyse regression output from Ordinary Least Squares.
• To learn and understand how Logit and Probit models work.
• To learn tips and tricks around Non-Linear Regression analysis.
• Practical examples in Stata
• Tips for building regression models
• An introduction to Stata
• Data manipulation in Stata
• Data visualisation in Stata
• Data analysis in Stata

⑩ 82 折 Linear Regression, GLMs and GAMs with R

How to extend linear regression to specify and estimate generalized linear models and additive models.

導師: Geoffrey Hubona, Ph.D.

課程上次更新 9/2020

評分:4.5

學生:
1881 ↑

時長:7小時 54分

售價

2,790 元

特價

490元

👉 課程資訊

透過這堂課，你將學會👇

• Understand the assumptions of ordinary least squares (OLS) linear regression.
• Specify, estimate and interpret linear (regression) models using R.
• Understand how the assumptions of OLS regression are modified (relaxed) in order to specify, estimate and interpret generalized linear models (GLMs).
• Specify, estimate and interpret GLMs using R.
• Understand the mechanics and limitations of specifying, estimating and interpreting generalized additive models (GAMs).

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