learn.kkinn.com - /Courses/AI, Machine Learning, Blockchain, Data Science/machine-learn-2017 Jun-Machine Learning - Linear and Logistic Regression(sf)Predict/


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11/19/2000 3:52 AM 22712991 01-You, This Course, and Us.mp4
11/19/2000 3:52 AM 16980985 02-Using Linear Regression to Connect the Dots.mp4
8/17/2017 9:16 AM 9398804 03-Two Common Applications of Regression.mp4
8/17/2017 9:16 AM 5178070 04-Extending Linear Regression to Fit Non-linear Relationships.mp4
8/17/2017 9:17 AM 9590005 05-Understanding Mean and Variance.mp4
8/17/2017 9:19 AM 62081635 06-Understanding Random Variables.mp4
11/19/2000 3:52 AM 44139142 07-The Normal Distribution.mp4
8/17/2017 9:21 AM 19868689 08-Setting up a Regression Problem.mp4
8/17/2017 9:21 AM 8061537 09-Using Simple Regression to Explain Cause-Effect Relationships.mp4
8/17/2017 9:22 AM 12983228 10-Using Simple Regression for Explaining Variance.mp4
8/17/2017 9:23 AM 6746902 11-Using Simple Regression for Prediction.mp4
8/17/2017 9:24 AM 13485492 12-Interpreting the Results of a Regression.mp4
8/17/2017 9:25 AM 14429017 13-Mitigating Risks in Simple Regression.mp4
8/17/2017 9:26 AM 47728013 14-Applying Simple Regression in Excel.mp4
8/17/2017 9:27 AM 22818401 15-Applying Simple Regression in R.mp4
8/17/2017 9:28 AM 12336378 16-Applying Simple Regression in Python.mp4
11/19/2000 3:52 AM 14140478 17-Introducing Multiple Regression.mp4
11/19/2000 3:52 AM 18122210 18-Some Risks Inherent to Multiple Regression.mp4
8/17/2017 9:29 AM 7436882 19-Benefits of Multiple Regression.mp4
8/17/2017 9:30 AM 12298495 20-Introducing Categorical Variables.mp4
8/17/2017 9:31 AM 11460380 21-Interpreting Regression results - Adjusted R-squared.mp4
11/19/2000 3:52 AM 17440794 22-Interpreting Regression results - Standard Errors of Coefficients.mp4
8/17/2017 9:32 AM 9818183 23-Interpreting Regression results - T-Statistics and P-Values.mp4
11/19/2000 3:52 AM 5705138 24-Interpreting Regression results - F-Statistic.mp4
11/19/2000 3:52 AM 28337248 25-Implementing Multiple Regression in Excel.mp4
11/19/2000 3:52 AM 16546398 26-Implementing Multiple Regression in R.mp4
8/17/2017 9:33 AM 10247672 27-Implementing Multiple Regression in Python.mp4
8/17/2017 9:34 AM 15687310 28-Understanding the Need for Logistic Regression.mp4
8/17/2017 9:35 AM 10270957 29-Setting up a Logistic Regression Problem.mp4
11/19/2000 3:52 AM 17995207 30-Applications of Logistic Regression.mp4
8/17/2017 9:36 AM 13865032 31-The Link between Linear and Logistic Regression.mp4
8/17/2017 9:37 AM 7803099 32-The Link between Logistic Regression and Machine Learning.mp4
8/17/2017 9:38 AM 10781508 33-Understanding the Intuition behind Logistic Regression and the S-curve.mp4
11/19/2000 3:52 AM 18502789 34-Solving Logistic Regression using Maximum Likelihood Estimation.mp4
8/17/2017 9:38 AM 9050935 35-Solving Logistic Regression using Linear Regression.mp4
8/17/2017 9:39 AM 10659417 36-Binomial vs Multinomial Logistic Regression.mp4
11/19/2000 3:52 AM 33066730 37-Predict Stock Price Movements using Logistic Regression in Excel.mp4
11/19/2000 3:52 AM 29004993 38-Predict Stock Price Movements using Logistic Regression in R.mp4
8/17/2017 9:41 AM 13262060 39-Predict Stock Price Movements using Rule-based and Linear Regression.mp4
8/17/2017 9:41 AM 9821538 40-Predict Stock Price Movements using Logistic Regression in Python.mp4