Udemy - Connect the Dots: Linear and Logistic Regression [100% Off]

Udemy - Connect the Dots: Linear and Logistic Regression 

Udemy - Connect the Dots: Linear and Logistic Regression
$50 Free 100% Off

  • Lectures 40
  • Length 5 hours
  • Skill Levels All Levels
  • Languages English
  • Published 3/2017

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Description

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. 
This course will teach you how to build robust linear models and do logistic regression in Excel, R and Python.
Let’s parse that.
Robust linear models : Linear Regression is a powerful method for quantifying the cause and effect relationships that affect different phenomena in the world around us. This course will teach you how to build robust linear models that will stand up to scrutiny when you apply them to real world situations. 
Logistic regression: Logistic regression has many cool applications : analyzing consequences of past events, allocating resources, solving binary classification problems using machine learning and so on. This course will help you understand the intuition behind logistic regression and how to solve it using cookie-cutter techniques. 
Excel, R and Python :  Put what you've learnt into practice. Leverage these powerful analytical tools to build models for stock returns. 
What's covered?
Simple Regression : 
  • Method of least squares, Explaining variance, Forecasting an outcome
  • Residuals, assumptions about residuals 
  • Implement simple regression in Excel, R and Python
  • Interpret regression results and avoid common pitfalls
Multiple Regression : 
  • Implement Multiple regression in Excel, R and Python
  • Introduce a categorical variable
Logistic Regression : 
  • Applications of Logistic Regression, the link to Linear Regression and Machine Learning
  • Solving logistic regression using Maximum Likelihood Estimation and Linear Regression
  • Extending Binomial Logistic Regression to Multinomial Logistic Regression
  • Implement Logistic regression to build a model stock price movements in Excel, R and Python

Using discussion forums
Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(
We're super small and self-funded with only 2-3 people developing technical video content. Our mission is to make high-quality courses available at super low prices.
The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.
We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.
It is a hard trade-off.
Thank you for your patience and understanding!
Udemy - Connect the Dots: Linear and Logistic Regression [100% Off] Udemy - Connect the Dots: Linear and Logistic Regression [100% Off] Reviewed by Courses Guru on 2:00:00 AM Rating: 5
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