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072 Ridge regression and Lasso in Python.mp4 2026-02-27 13:48 129M
073 Ridge regression and Lasso in R.mp4 2026-02-27 13:48 103M
055 Assessing accuracy of predicted coefficients.mp4 2026-02-27 13:46 92M
069 Subset selection techniques.mp4 2026-02-27 13:47 79M
067 Test-Train Split in R.mp4 2026-02-27 13:47 76M
062 Multiple Linear Regression in Python.mp4 2026-02-27 13:47 70M
070 Subset selection in R.mp4 2026-02-27 13:47 64M
057 Simple Linear Regression in Python.mp4 2026-02-27 13:46 63M
063 Multiple Linear Regression in R.mp4 2026-02-27 13:47 62M
060 The F - statistic.mp4 2026-02-27 13:47 56M
066 Test train split in Python.mp4 2026-02-27 13:47 45M
056 Assessing Model Accuracy RSE and R squared.mp4 2026-02-27 13:46 44M
054 Basic Equations and Ordinary Least Squares (OLS) method.mp4 2026-02-27 13:46 43M
064 Test-train split.mp4 2026-02-27 13:47 42M
058 Simple Linear Regression in R.mp4 2026-02-27 13:46 41M
059 Multiple Linear Regression.mp4 2026-02-27 13:46 34M
071 Shrinkage methods Ridge and Lasso.mp4 2026-02-27 13:47 33M
065 Bias Variance trade-off.mp4 2026-02-27 13:47 25M
061 Interpreting results of Categorical variables.mp4 2026-02-27 13:47 23M
068 Regression models other than OLS.mp4 2026-02-27 13:47 17M
074 Heteroscedasticity.mp4 2026-02-27 13:48 14M
053 The Problem Statement.mp4 2026-02-27 13:46 9.4M
072 Ridge regression and Lasso in Python.en.srt 2026-02-27 13:47 21K
055 Assessing accuracy of predicted coefficients.en.srt 2026-02-27 13:46 17K
062 Multiple Linear Regression in Python.en.srt 2026-02-27 13:47 14K
069 Subset selection techniques.en.srt 2026-02-27 13:47 14K
057 Simple Linear Regression in Python.en.srt 2026-02-27 13:46 13K
073 Ridge regression and Lasso in R.en.srt 2026-02-27 13:48 12K
064 Test-train split.en.srt 2026-02-27 13:47 11K
054 Basic Equations and Ordinary Least Squares (OLS) method.en.srt 2026-02-27 13:46 10K
060 The F - statistic.en.srt 2026-02-27 13:46 9.7K
067 Test-Train Split in R.en.srt 2026-02-27 13:47 9.4K
058 Simple Linear Regression in R.en.srt 2026-02-27 13:46 9.3K
063 Multiple Linear Regression in R.en.srt 2026-02-27 13:47 9.2K
071 Shrinkage methods Ridge and Lasso.en.srt 2026-02-27 13:47 9.0K
066 Test train split in Python.en.srt 2026-02-27 13:47 8.7K
056 Assessing Model Accuracy RSE and R squared.en.srt 2026-02-27 13:46 8.4K
070 Subset selection in R.en.srt 2026-02-27 13:47 8.2K
065 Bias Variance trade-off.en.srt 2026-02-27 13:47 7.0K
059 Multiple Linear Regression.en.srt 2026-02-27 13:46 6.3K
061 Interpreting results of Categorical variables.en.srt 2026-02-27 13:47 5.9K
068 Regression models other than OLS.en.srt 2026-02-27 13:47 4.8K
074 Heteroscedasticity.en.srt 2026-02-27 13:48 2.8K
053 The Problem Statement.en.srt 2026-02-27 13:46 1.7K