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| 0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url |
377B |
| 01.01.Course Overview.mp4 |
9.94MB |
| 02.01.Module Overview.mp4 |
6.51MB |
| 02.02.Prerequisites and Course Outline.mp4 |
4.79MB |
| 02.03.Rule-based vs. ML-based Learning.mp4 |
13.57MB |
| 02.04.Traditional ML vs. Representation ML.mp4 |
7.00MB |
| 02.05.The Machine Learning Workflow.mp4 |
6.00MB |
| 02.06.Choosing the Right Model Based on Data.mp4 |
10.49MB |
| 02.07.Supervised vs. Unsupervised Learning.mp4 |
9.26MB |
| 02.08.Transfer Learning, Cold Start ML and Warm Start ML.mp4 |
10.08MB |
| 02.09.Popular Machine Learning Frameworks.mp4 |
6.53MB |
| 02.10.Demo Getting Started with scikit-learn.mp4 |
4.35MB |
| 02.11.Module Summary.mp4 |
2.67MB |
| 03.01.Module Overview.mp4 |
2.36MB |
| 03.02.Building and Evaluating Regression Models.mp4 |
9.32MB |
| 03.03.Demo Linear Regression Using Numeric Features.mp4 |
17.62MB |
| 03.04.Demo Exploring Regression Data.mp4 |
9.68MB |
| 03.05.Demo Preprocessing Numeric and Categorical Data and Fitting a Regression Model.mp4 |
10.47MB |
| 03.06.Choosing Regression Algorithms.mp4 |
4.93MB |
| 03.07.Regularized Regression Models Lasso, Ridge, and Elastic Net.mp4 |
7.37MB |
| 03.08.Stochastic Gradient Descent.mp4 |
4.35MB |
| 03.09.Demo Multiple Types of Regression.mp4 |
12.02MB |
| 03.10.Module Summary.mp4 |
2.58MB |
| 04.01.Module Overview.mp4 |
2.26MB |
| 04.02.Types of Classifiers.mp4 |
7.96MB |
| 04.03.Understanding Logistic Regression Intuitively.mp4 |
9.96MB |
| 04.04.Demo Building and Training a Binary Classification Model.mp4 |
13.77MB |
| 04.05.Understanding Support Vector and Nearest Neighbors Classification.mp4 |
7.49MB |
| 04.06.Understanding Decision Tree and Naive Bayes Classification.mp4 |
9.93MB |
| 04.07.Demo Building Classification Models Using Multiple Techniques.mp4 |
15.46MB |
| 04.08.Demo Using Warm Start with an Ensemble Classifier.mp4 |
6.56MB |
| 04.09.Demo Performing Multiclass Classification on Text Data.mp4 |
14.87MB |
| 04.10.Module Summary.mp4 |
1.99MB |
| 05.01.Module Overview.mp4 |
2.21MB |
| 05.02.Clustering as an Unsupervised Learning Technique.mp4 |
7.56MB |
| 05.03.Choosing Clustering Algorithms.mp4 |
7.36MB |
| 05.04.Categorizing Clustering Algorithms.mp4 |
5.75MB |
| 05.05.K-means Clustering.mp4 |
5.01MB |
| 05.06.Hierarchical Clustering.mp4 |
6.84MB |
| 05.07.Demo Performing K-means Clustering on Unlabeled Data.mp4 |
11.85MB |
| 05.08.Demo Clustering Using Labeled Data.mp4 |
18.19MB |
| 05.09.Demo Agglomerative Clustering.mp4 |
49.22MB |
| 05.10.Summary and Further Study.mp4 |
6.62MB |
| 1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url |
286B |
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163B |
| 3. (FTUApps.com) Download Cracked Developers Applications For Free.url |
239B |
| Exercise_file.zip |
8.11MB |
| How you can help our Group!.txt |
208B |