1:15:02Lecture 01 (Data Science Lifecycle, Study Design) - Data 100 Su19
A 75-minute video from Sam Lau: “Lecture 01 (Data Science Lifecycle, Study Design) - Data 100 Su19”.
Sam Lau
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1:15:02
1:18:30Lecture 02 (pandas Part 1) - Data 100 Su19
A 78-minute video from Sam Lau: “Lecture 02 (pandas Part 1) - Data 100 Su19”.
1:18:12Lecture 03 (pandas Part 2) - Data 100 Su19
A 78-minute video from Sam Lau: “Lecture 03 (pandas Part 2) - Data 100 Su19”.
1:14:32Lecture 04 (Data Cleaning) - Data 100 Su19
A 75-minute video from Sam Lau: “Lecture 04 (Data Cleaning) - Data 100 Su19”.
1:18:14Lecture 05 (Visualization using seaborn) - Data 100 Su19
A 78-minute video from Sam Lau: “Lecture 05 (Visualization using seaborn) - Data 100 Su19”.
1:00:35Lecture 06 (Visualization Principles) - Data 100 Su19
A 61-minute video from Sam Lau: “Lecture 06 (Visualization Principles) - Data 100 Su19”.
1:18:37Lecture 07 (EDA, Text) - Data 100 Su19
A 79-minute video from Sam Lau: “Lecture 07 (EDA, Text) - Data 100 Su19”.
1:19:05Lecture 08 (SQL) - Data 100 Su19
A 79-minute video from Sam Lau: “Lecture 08 (SQL) - Data 100 Su19”.
1:17:36Lecture 09 (Dimensionality Reduction) - Data 100 Su19
A 78-minute video from Sam Lau: “Lecture 09 (Dimensionality Reduction) - Data 100 Su19”.
1:08:42Lecture 11 (PCA, Midterm Review) - Data 100 Su19
A 69-minute video from Sam Lau: “Lecture 11 (PCA, Midterm Review) - Data 100 Su19”.
1:32:49Lecture 12 (Midterm Review) - Data 100 Su19
A 93-minute video from Sam Lau: “Lecture 12 (Midterm Review) - Data 100 Su19”.
1:18:36Lecture 14 (Risk and Loss Functions) - Data 100 Su19
A 79-minute video from Sam Lau: “Lecture 14 (Risk and Loss Functions) - Data 100 Su19”.
1:14:02Lecture 15 (Linear Regression) - Data 100 Su19
A 74-minute video from Sam Lau: “Lecture 15 (Linear Regression) - Data 100 Su19”.
1:15:29Lecture 16 (Gradient Descent) - Data 100 Su19
A 75-minute video from Sam Lau: “Lecture 16 (Gradient Descent) - Data 100 Su19”.
1:06:14Lecture 17 (Feature Engineering, Bias-Variance Tradeoff) - Data 100 Su19
A 66-minute video from Sam Lau: “Lecture 17 (Feature Engineering, Bias-Variance Tradeoff) - Data 100 Su19”.
1:16:32Lecture 18 (Cross-Validation, Regularization) - Data 100 Su19
A 77-minute video from Sam Lau: “Lecture 18 (Cross-Validation, Regularization) - Data 100 Su19”.
1:09:25Lecture 19 (Logistic Regression) - Data 100 Su19
A 69-minute video from Sam Lau: “Lecture 19 (Logistic Regression) - Data 100 Su19”.
1:07:55Lecture 20 (Classifier Evaluation and Fitting) - Data 100 Su19
A 68-minute video from Sam Lau: “Lecture 20 (Classifier Evaluation and Fitting) - Data 100 Su19”.
1:03:19Lecture 21 (Decision Boundaries, Modeling Considerations) - Data 100 Su19
A 63-minute video from Sam Lau: “Lecture 21 (Decision Boundaries, Modeling Considerations) - Data 100 Su19”.
40:56Lecture 22 (Inference for Modeling) - Data 100 Su19
A 41-minute video from Sam Lau: “Lecture 22 (Inference for Modeling) - Data 100 Su19”.
1:04:12Lecture 23 (Big Data and Ray) - Data 100 Su19
A 64-minute video from Sam Lau: “Lecture 23 (Big Data and Ray) - Data 100 Su19”.
25:25Lecture 24 (Decision Trees) - Data 100 Su19
A 25-minute video from Sam Lau: “Lecture 24 (Decision Trees) - Data 100 Su19”.
46:39Lecture 24 (Spark, Decision Trees) - Data 100 Su19
A 47-minute video from Sam Lau: “Lecture 24 (Spark, Decision Trees) - Data 100 Su19”.
1:05:53Lecture 25 (Random Forests, Runtime Analysis, Modeling Overview) - Data 100 Su19
A 66-minute video from Sam Lau: “Lecture 25 (Random Forests, Runtime Analysis, Modeling Overview) - Data 100 Su19”.
1:09:11Lecture 26 (Ethics & Conclusion) - Data 100 Su19
A 69-minute video from Sam Lau: “Lecture 26 (Ethics & Conclusion) - Data 100 Su19”.
1:17:38Lecture 27 (Final Review 1) - Data 100 Su19
A 78-minute video from Sam Lau: “Lecture 27 (Final Review 1) - Data 100 Su19”.
1:22:22Lecture 28 (Final Review 2) - Data 100 Su19
A 82-minute video from Sam Lau: “Lecture 28 (Final Review 2) - Data 100 Su19”.