Foundations of Machine Learning

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744.12 MB | 00:12:00 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 gateway-to-the-course.mp4 (17.43 MB)
02 course-and-instructor-introduction-video.mp4 (8.99 MB)
01 introduction-to-problem-statement.mp4 (11.23 MB)
03 how-do-we-make-predictions.mp4 (4.22 MB)
04 methodology-of-evaluating-predictions.mp4 (5.49 MB)
05 introduction-to-data-division.mp4 (4.77 MB)
06 building-benchmark-models-and-evaluating-it.mp4 (10.24 MB)
06 building-benchmark-models-and-evaluating-it Benchmark Model.zip (82.2 KB)
07 introduction-to-machine-learning.mp4 (7.94 MB)
08 applications-of-machine-learning.mp4 (8.9 MB)
09 types-of-machine-learning.mp4 (7.94 MB)
01 ml-workflow.mp4 (18.13 MB)
02 tasks-to-be-performed.mp4 (12.03 MB)
02 tasks-to-be-performed Data Preprocessing.zip (5.65 MB)
03 combining-product-attribute-data-with-pos-data.mp4 (16.5 MB)
04 combining-all-the-tables-in-the-dataframe.mp4 (18.1 MB)
05 understanding-the-combined-data.mp4 (7.51 MB)
06 treating-missing-values-part-1.mp4 (12.14 MB)
07 treating-missing-values-part-2.mp4 (8.36 MB)
08 outlier-detection-and-treatment.mp4 (5.07 MB)
09 preparing-the-dataset-for-supervised-and-unsupervised-models.mp4 (8.1 MB)
10 generative-ai-for-data-analysis.mp4 (15.71 MB)
01 introduction-to-knn.mp4 (3.7 MB)
02 building-a-knn-model.mp4 (5 MB)
03 choosing-the-optimal-k.mp4 (3.05 MB)
04 different-ways-to-calculate-distance.mp4 (9.6 MB)
05 problems-with-distance-based-algorithm.mp4 (5.54 MB)
01 sklearn-to-build-optimal-process-to-build-an-ml-model.mp4 (6.32 MB)
02 building-a-knn-classification-model-and-evaluating-it.mp4 (22.36 MB)
02 building-a-knn-classification-model-and-evaluating-it KNN Model for Synergix.zip (959.33 KB)
03 choosing-the-right-k-value.mp4 (3.46 MB)
04 bias-and-variance.mp4 (9.34 MB)
01 understanding-confusion-matrix-and-accuracy.mp4 (12.64 MB)
01 understanding-confusion-matrix-and-accuracy Classification Evalauation Metrics - Notebook Dataset.zip (917.55 KB)
02 a-deep-dive-into-precision-recall-and-f1-score.mp4 (14.16 MB)
03 understanding-the-au-roc-curve.mp4 (8.64 MB)
01 why-do-we-calculate-rmse.mp4 (9.8 MB)
01 why-do-we-calculate-rmse Evaluation Metrics for Regression Problems.zip (878.68 KB)
02 understanding-r2-score-and-adjusted-r2-score.mp4 (8.68 MB)
01 train-test-split.mp4 (14.63 MB)
02 train-test-split-ratio-and-limit.mp4 (4.96 MB)
03 cross-validation.mp4 (6.47 MB)
04 implementing-cross-validation.mp4 (9.97 MB)
04 implementing-cross-validation Data Division Resorces.zip (833.58 KB)
05 benchmark-models.mp4 (11.15 MB)
01 introduction-to-linear-regression.mp4 (8.11 MB)
02 significance-of-slope-and-intercept-in-the-linear-regression.mp4 (14.92 MB)
02 significance-of-slope-and-intercept-in-the-linear-regression Linear Regression Notebooks.zip (301.99 KB)
03 how-model-decides-the-best-fit-line.mp4 (7.69 MB)
04 lets-build-a-simple-linear-regression-model.mp4 (9.59 MB)
05 model-understanding-using-descriptive-approach.mp4 (18.04 MB)
06 model-understanding-using-descriptive-approach-ii.mp4 (15.51 MB)
07 model-building-using-predictive-approach.mp4 (8.45 MB)
01 introduction.mp4 (3.05 MB)
02 lines-to-curves-with-logistic-regression.mp4 (7.32 MB)
02 lines-to-curves-with-logistic-regression Logistic Regression Notebook.zip (15.88 KB)
03 reading-between-the-curves-with-log-loss.mp4 (9.77 MB)
04 stats-model-summary.mp4 (11.28 MB)
05 feature-selection-and-scaling.mp4 (11.18 MB)
06 predictive-model-in-logistic-regression.mp4 (7.34 MB)
01 introduction-to-decision-trees.mp4 (9.34 MB)
02 lets-visualize-the-decision-tree.mp4 (12.71 MB)
02 lets-visualize-the-decision-tree Visualizing Decision Trees.rar (223.92 KB)
03 how-do-decision-trees-decide.mp4 (12.64 MB)
04 how-decision-trees-make-predictions.mp4 (5.53 MB)
05 hands-on-building-the-decision-tree-classification-model.mp4 (21.37 MB)
05 hands-on-building-the-decision-tree-classification-model Decision Tree - Classification.rar (634.58 KB)
06 hyperparameters-of-decision-trees.mp4 (9.56 MB)
07 hands-on-building-the-decision-tree-classification-model-part-2.mp4 (5.01 MB)
08 building-a-decision-tree-regression-model.mp4 (9.5 MB)
08 building-a-decision-tree-regression-model Decision Tree - Regression.rar (632.18 KB)
09 handling-imbalanced-datasets.mp4 (10.65 MB)
10 handling-imbalanced-datasets-hands-on.mp4 (14.92 MB)
10 handling-imbalanced-datasets-hands-on Handling Imbalanced Datasets.rar (631.84 KB)
01 setting-the-context.mp4 (7.39 MB)
02 choosing-clustering-algorithms.mp4 (9.27 MB)
03 solving-our-problem-using-k-means-part-1.mp4 (18.5 MB)
03 solving-our-problem-using-k-means-part-1 K-means Clustering for Synergix.rar (1 MB)
04 solving-our-problem-using-k-means-part-2.mp4 (6.47 MB)
05 finding-optimal-k-value.mp4 (12.62 MB)
06 analysis-and-insights-based-on-the-plot.mp4 (5.23 MB)
01 introduction-to-hierarchical-clustering-analysis-hca.mp4 (5.77 MB)
02 solving-our-problem-using-hierarchical-clustering.mp4 (10.1 MB)
02 solving-our-problem-using-hierarchical-clustering Hierarchical Clustering Analysis for Synergix.rar (855.97 KB)
03 introduction-to-dbscan.mp4 (12.17 MB)
04 solving-our-problem-using-dbscan-clustering.mp4 (10.32 MB)
04 solving-our-problem-using-dbscan-clustering DBSCAN Clustering for Synergix.rar (785.65 KB)
06 course-summary.mp4 (8.33 MB)]
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