Connect the Dots: Linear and Logistic Regression
Connect the Dots: Linear and Logistic Regression
.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 5 hours | 577 MB
Instructor: Loony Corn
.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 5 hours | 577 MB
Instructor: Loony Corn
Build robust models in Excel, R and Python
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.
Connect the Dots: Linear and Logistic Regression
