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| [TGx]Downloaded from torrentgalaxy.to .txt |
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| 100 - Implementing Random Forests from scratch Part 1.mp4 |
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| 100 - Implementing Random Forests from scratch Part 1 English.vtt |
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| 101 |
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| 101 - Implementing Random Forests from scratch Part 2.mp4 |
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| 101 - Implementing Random Forests from scratch Part 2 English.vtt |
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| 102 |
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| 102 - Compare with sklearn implementation.mp4 |
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| 102 - Compare with sklearn implementation English.vtt |
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| 103 |
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| 103 - Random Forests HyperParameters.mp4 |
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| 103 - Random Forests HyperParameters English.vtt |
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| 104 |
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| 104 - Random Forests Pros and Cons.mp4 |
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| 104 - Random Forests Pros and Cons English.vtt |
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| 105 |
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| 105 - What is Boosting.mp4 |
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| 105 - What is Boosting English.vtt |
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| 106 |
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| 106 - AdaBoost Part 1.mp4 |
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| 106 - AdaBoost Part 1 English.vtt |
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| 107 - AdaBoost Part 2.mp4 |
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| 107 - AdaBoost Part 2 English.vtt |
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| 108 |
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| 108 - SVMipynb |
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| 108 - SVM Outline.mp4 |
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| 108 - SVM Outline English.vtt |
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| 109 |
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| 109 - SVM intuition.mp4 |
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| 109 - SVM intuition English.vtt |
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| 10 - What is Machine Learning.mp4 |
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| 10 - What is Machine Learning English.vtt |
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| 110 |
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| 110 - Hard vs Soft Margins.mp4 |
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| 110 - Hard vs Soft Margins English.vtt |
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| 111 |
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| 111 - C hyperparameter.mp4 |
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| 111 - C hyperparameter English.vtt |
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| 112 |
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| 112 - Kernel Trick.mp4 |
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| 112 - Kernel Trick English.vtt |
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| 113 |
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| 113 - SVM Kernel Types.mp4 |
126.37Мб |
| 113 - SVM Kernel Types English.vtt |
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| 113 - SVM RBF Visualization.txt |
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| 113 - SVM with polynomial kernel visualization.txt |
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| 114 |
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| 114 - SVM with Linear Dataset Iris.mp4 |
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| 114 - SVM with Linear Dataset Iris English.vtt |
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| 115 |
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| 115 - SVM with Nonlinear Dataset.mp4 |
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| 115 - SVM with Nonlinear Dataset English.vtt |
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| 116 |
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| 116 - SVM with Regression.mp4 |
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| 116 - SVM with Regression English.vtt |
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| 117 |
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| 117 - Kaggle Gender Recognition by Voice and Speech Analysis.txt |
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| 117 - Project Voice Gender Recognition using SVM.mp4 |
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| 117 - Project Voice Gender Recognition using SVM English.vtt |
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| 118 |
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| 118 - UnsupervisedLearning.pdf |
636.55Кб |
| 118 - Unsupervised Machine Learning Intro.mp4 |
100.92Мб |
| 118 - Unsupervised Machine Learning Intro English.vtt |
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| 119 |
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| 119 - Unsupervised Machine Learning Continued.mp4 |
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| 119 - Unsupervised Machine Learning Continued English.vtt |
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| 11 - Machine Learning Concepts & Algorithms.mp4 |
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| 11 - Machine Learning Concepts & Algorithms English.vtt |
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| 120 |
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| 120 - Data Standardization.mp4 |
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| 120 - Data Standardization English.vtt |
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| 121 |
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| 121 - PCAipynb |
3.28Мб |
| 121 - PCA Section Overview.mp4 |
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| 121 - PCA Section Overview English.vtt |
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| 122 |
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| 122 - What is PCA.mp4 |
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| 122 - What is PCA English.vtt |
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| 123 |
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| 123 - PCA Drawbacks.mp4 |
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| 123 - PCA Drawbacks English.vtt |
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| 124 |
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| 124 - Linear Algebra Refresher.txt |
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| 124 - PCA Algorithm Steps Mathematics.mp4 |
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| 124 - PCA Algorithm Steps Mathematics English.vtt |
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| 124 - Principal components eigenvectors.txt |
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| 125 - Covariance Matrix vs SVD.mp4 |
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| 125 - Covariance Matrix vs SVD English.vtt |
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| 125 - SVD details.txt |
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| 126 |
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| 126 - PCA Main Applications.mp4 |
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| 126 - PCA Main Applications English.vtt |
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| 127 |
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| 127 - cat.png |
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| 127 - Compression Ratio.txt |
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| 127 - PCA Image Compression.mp4 |
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| 127 - PCA Image Compression English.vtt |
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| 128 |
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| 128 - PCA Data Preprocessing.mp4 |
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| 128 - PCA Data Preprocessing English.vtt |
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| 129 - PCA Biplot and the Screen Plot.mp4 |
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| 129 - PCA Biplot and the Screen Plot English.vtt |
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| 129 - USArrests.csv |
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| 12 - What is Deep Learning.mp4 |
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| 12 - What is Deep Learning English.vtt |
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| 130 - PCA Feature Scaling and Screen Plot.mp4 |
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| 130 - PCA Feature Scaling and Screen Plot English.vtt |
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| 131 - PCA Supervised vs Unsupervised.mp4 |
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| 131 - PCA Supervised vs Unsupervised English.vtt |
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| 132 - PCA Visualization.mp4 |
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| 132 - PCA Visualization English.vtt |
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| 133 |
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| 133 - Creating A Data Science Resume.mp4 |
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| 133 - Creating A Data Science Resume English.vtt |
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| 134 |
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| 134 - Data Science Cover Letter.mp4 |
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| 134 - Data Science Cover Letter English.vtt |
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| 135 |
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| 135 - How to Contact Recruiters.mp4 |
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| 135 - How to Contact Recruiters English.vtt |
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| 136 |
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| 136 - Getting Started with Freelancing.mp4 |
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| 136 - Getting Started with Freelancing English.vtt |
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| 137 - Top Freelance Websites.mp4 |
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| 137 - Top Freelance Websites English.vtt |
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| 138 - Personal Branding.mp4 |
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| 138 - Personal Branding English.vtt |
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| 139 |
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| 139 - Networking Dos and Donts.mp4 |
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| 139 - Networking Dos and Donts English.vtt |
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| 13 - Machine Learning vs Deep Learning.mp4 |
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| 13 - Machine Learning vs Deep Learning English.vtt |
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| 140 - Importance of a Website.mp4 |
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| 140 - Importance of a Website English.vtt |
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| 14 - What is Programming.mp4 |
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| 14 - What is Programming English.vtt |
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| 15 - ImportingPythonData.pdf |
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| 15 - PythonBasics.pdf |
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| 15 - Why Python for Data Science.mp4 |
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| 15 - Why Python for Data Science English.vtt |
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| 16 |
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| 16 - JupyterNotebook.pdf |
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| 16 - What is Jupyter.mp4 |
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| 16 - What is Jupyter English.vtt |
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| 17 |
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| 17 - What is Google Colab.mp4 |
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| 17 - What is Google Colab English.vtt |
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| 18 - Python Variables Booleans and None.mp4 |
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| 18 - Python Variables Booleans and None English.vtt |
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| 19 |
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| 19 - Getting Started with Google Colab.mp4 |
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| 19 - Getting Started with Google Colab English.vtt |
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| 1 - Who is This Course For.mp4 |
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| 1 - Who is This Course For English.vtt |
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| 20 - Python Operators.mp4 |
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| 21 - Python Numbers & Booleans.mp4 |
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| 22 - Python Strings.mp4 |
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| 23 - Python Conditional Statements.mp4 |
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| 23 - Python Conditional Statements English.vtt |
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| 24 - Python For Loops and While Loops.mp4 |
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| 24 - Python For Loops and While Loops English.vtt |
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| 25 |
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| 25 - Python Lists.mp4 |
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| 25 - Python Lists English.vtt |
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| 26 - More about Lists.mp4 |
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| 26 - More about Lists English.vtt |
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| 27 |
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| 27 - Is it possible to have autocomplete in a notebook in Google Colab.txt |
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| 27 - Python Tuples.mp4 |
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| 27 - Python Tuples English.vtt |
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| 28 |
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| 28 - Python Dictionaries.mp4 |
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| 28 - Python Dictionaries English.vtt |
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| 28 - Python Official Docs on Dictionaries.txt |
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| 29 - Python Sets.mp4 |
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| 29 - Python Sets English.vtt |
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| 2 - Data Science Machine Learning Marketplace.mp4 |
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| 2 - Data Science Machine Learning Marketplace English.vtt |
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| 3 |
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| 30 - Compound Data Types & When to use each one.mp4 |
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| 30 - Compound Data Types & When to use each one English.vtt |
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| 31 |
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| 31 - Python Functions.mp4 |
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| 31 - Python Functions English.vtt |
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| 32 - Object Oriented Programming in Python.mp4 |
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| 32 - Object Oriented Programming in Python English.vtt |
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| 33 |
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| 33 - Intro To Statistics.mp4 |
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| 33 - Intro To Statistics English.vtt |
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| 34 |
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| 34 - Descriptive Statistics.mp4 |
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| 34 - Descriptive Statistics English.vtt |
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| 35 - Measure of Variability.mp4 |
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| 35 - Measure of Variability English.vtt |
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| 36 - Measure of Variability Continued.mp4 |
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| 36 - Measure of Variability Continued English.vtt |
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| 37 |
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| 37 - Measures of Variable Relationship.mp4 |
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| 37 - Measures of Variable Relationship English.vtt |
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| 38 - Inferential Statistics.mp4 |
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| 38 - Inferential Statistics English.vtt |
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| 39 |
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| 39 - Measure of Asymmetry.mp4 |
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| 39 - Measure of Asymmetry English.vtt |
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| 3 - Data Science Job Opportunities.mp4 |
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| 3 - Data Science Job Opportunities English.vtt |
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| 40 |
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| 40 - Sampling Distribution.mp4 |
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| 40 - Sampling Distribution English.vtt |
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| 41 |
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| 41 - What Exactly is Probability.mp4 |
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| 41 - What Exactly is Probability English.vtt |
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| 42 |
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| 42 - Expected Values.mp4 |
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| 42 - Expected Values English.vtt |
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| 43 |
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| 43 - Relative Frequency.mp4 |
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| 43 - Relative Frequency English.vtt |
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| 44 |
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| 44 - Hypothesis Testing Overview.mp4 |
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| 44 - Hypothesis Testing Overview English.vtt |
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| 45 |
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| 45 - Intro NumPy Array Data Types.mp4 |
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| 45 - Intro NumPy Array Data Types English.vtt |
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| 45 - NumPyBasics.pdf |
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| 46 - NumPy Arrays.mp4 |
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| 46 - NumPy Arrays English.vtt |
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| 47 - NumPy Arrays Basics.mp4 |
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| 47 - NumPy Arrays Basics English.vtt |
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| 48 |
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| 48 - NumPy Array Indexing.mp4 |
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| 48 - NumPy Array Indexing English.vtt |
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| 49 - NumPy Array Computations.mp4 |
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| 49 - NumPy Array Computations English.vtt |
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| 4 - Data Science Job Roles.mp4 |
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| 4 - Data Science Job Roles English.vtt |
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| 50 |
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| 50 - Broadcasting.mp4 |
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| 50 - Broadcasting English.vtt |
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| 51 |
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| 51 - Introduction to Pandas.mp4 |
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| 51 - Introduction to Pandas English.vtt |
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| 51 - Pandas.pdf |
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| 51 - PandasBasics.pdf |
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| 52 |
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| 52 - Introduction to Pandas Continued.mp4 |
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| 52 - Introduction to Pandas Continued English.vtt |
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| 53 |
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| 53 - Data Visualization Overview.mp4 |
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| 53 - Data Visualization Overview English.vtt |
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| 54 |
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| 54 - Different Data Visualization Libraries in Python.mp4 |
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| 54 - Different Data Visualization Libraries in Python English.vtt |
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| 55 |
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| 55 - Python Data Visualization Implementation.mp4 |
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| 55 - Python Data Visualization Implementation English.vtt |
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| 56 |
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| 56 - Introduction To Machine Learning.mp4 |
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| 56 - Introduction To Machine Learning English.vtt |
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| 56 - SupervisedLearning.pdf |
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| 57 |
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| 57 - Exploratory Data Analysis.mp4 |
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| 57 - Exploratory Data Analysis English.vtt |
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| 58 - Feature Scaling.mp4 |
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| 58 - Feature Scaling English.vtt |
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| 59 |
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| 59 - Data Cleaning.mp4 |
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| 59 - Data Cleaning English.vtt |
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| 5 - What is a Data Scientist.mp4 |
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| 60 - Feature Engineering.mp4 |
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| 60 - Feature Engineering English.vtt |
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| 61 - Linear Regression Intro.mp4 |
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| 61 - Linear Regression Intro English.vtt |
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| 62 - Gradient Descent.mp4 |
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| 62 - Gradient Descent English.vtt |
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| 63 |
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| 63 - Linear Regression Correlation Methods.mp4 |
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| 63 - Linear Regression Correlation Methods English.vtt |
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| 64 |
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| 64 - Linear Regression Implementation.mp4 |
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| 64 - Linear Regression Implementation English.vtt |
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| 65 |
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| 65 - Logistic Regression.mp4 |
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| 65 - Logistic Regression English.vtt |
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| 66 |
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| 66 - KNNipynb |
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| 66 - KNN Overview.mp4 |
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| 66 - KNN Overview English.vtt |
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| 67 |
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| 67 - parametric vs nonparametric models.mp4 |
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| 67 - parametric vs nonparametric models English.vtt |
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| 68 |
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| 68 - EDA on Iris Dataset.mp4 |
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| 68 - EDA on Iris Dataset English.vtt |
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| 68 - Sklearn Toy Datasets.txt |
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| 69 |
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| 69 - The KNN Intuition.mp4 |
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| 69 - The KNN Intuition English.vtt |
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| 6 - How To Get a Data Science Job.mp4 |
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| 6 - How To Get a Data Science Job English.vtt |
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| 7 |
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| 70 |
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| 70 - Implement the KNN algorithm from scratch.mp4 |
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| 70 - Implement the KNN algorithm from scratch English.vtt |
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| 71 |
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| 71 - Compare the result with the sklearn library.mp4 |
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| 71 - Compare the result with the sklearn library English.vtt |
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| 72 |
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| 72 - Hyperparameter tuning using the crossvalidation.mp4 |
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| 72 - Hyperparameter tuning using the crossvalidation English.vtt |
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| 73 |
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| 73 - Stanford Demo KNN Decision Boundary.txt |
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| 73 - The decision boundary visualization.mp4 |
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| 73 - The decision boundary visualization English.vtt |
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| 74 |
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| 74 - Manhattan vs Euclidean Distance.mp4 |
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| 74 - Manhattan vs Euclidean Distance English.vtt |
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| 74 - MIT example.txt |
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| 75 - Feature scaling in KNN.mp4 |
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| 75 - Feature scaling in KNN English.vtt |
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| 76 - Curse of dimensionality.mp4 |
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| 76 - Curse of dimensionality English.vtt |
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| 77 - KNN use cases.mp4 |
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| 78 - KNN pros and cons.mp4 |
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| 78 - KNN pros and cons English.vtt |
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| 79 - DecisionTreesipynb |
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| 79 - Decision Trees Section Overview.mp4 |
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| 79 - Decision Trees Section Overview English.vtt |
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| 7 - Data Science Projects Overview.mp4 |
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| 7 - Data Science Projects Overview English.vtt |
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| 80 - adultdata.csv |
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| 80 - Adult Dataset.txt |
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| 80 - adultnames.csv |
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| 80 - adulttest.csv |
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| 80 - EDA on Adult Dataset.mp4 |
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| 80 - EDA on Adult Dataset English.vtt |
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| 81 |
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| 81 - What is Entropy and Information Gain.mp4 |
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| 81 - What is Entropy and Information Gain English.vtt |
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| 82 |
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| 82 - The Decision Tree ID3 algorithm from scratch Part 1.mp4 |
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| 82 - The Decision Tree ID3 algorithm from scratch Part 1 English.vtt |
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| 83 |
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| 83 - The Decision Tree ID3 algorithm from scratch Part 2.mp4 |
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| 83 - The Decision Tree ID3 algorithm from scratch Part 2 English.vtt |
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| 84 - The Decision Tree ID3 algorithm from scratch Part 3.mp4 |
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| 84 - The Decision Tree ID3 algorithm from scratch Part 3 English.vtt |
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| 85 - ID3 Putting Everything Together.mp4 |
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| 85 - ID3 Putting Everything Together English.vtt |
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| 86 |
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| 86 - Evaluating our ID3 implementation.mp4 |
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| 86 - Evaluating our ID3 implementation English.vtt |
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| 87 - Categorical feature in Treebased classifiers.txt |
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| 87 - Compare with Sklearn implementation.mp4 |
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| 87 - Compare with Sklearn implementation English.vtt |
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| 87 - Passing categorical data to Sklearn Decision Tree.txt |
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| 88 - Visualizing the tree.mp4 |
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| 88 - Visualizing the tree English.vtt |
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| 89 - Plot the features importance.mp4 |
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| 89 - Plot the features importance English.vtt |
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| 8 - Why We Use Python.mp4 |
13.50Мб |
| 8 - Why We Use Python English.vtt |
4.24Кб |
| 9 |
307б |
| 90 |
469.58Кб |
| 90 - Decision Trees Hyperparameters.mp4 |
81.26Мб |
| 90 - Decision Trees Hyperparameters English.vtt |
13.87Кб |
| 91 |
534.02Кб |
| 91 - Pruning.mp4 |
112.97Мб |
| 91 - Pruning English.vtt |
20.65Кб |
| 92 |
580.48Кб |
| 92 - Optional Gain Ration.mp4 |
19.18Мб |
| 92 - Optional Gain Ration English.vtt |
3.24Кб |
| 93 |
602.09Кб |
| 93 - Decision Trees Pros and Cons.mp4 |
47.74Мб |
| 93 - Decision Trees Pros and Cons English.vtt |
9.14Кб |
| 94 |
89.05Кб |
| 94 - Project Predict whether income exceeds 50Kyr Overview.mp4 |
15.10Мб |
| 94 - Project Predict whether income exceeds 50Kyr Overview English.vtt |
3.16Кб |
| 95 |
360.01Кб |
| 95 - EnsembleLearningipynb |
35.75Кб |
| 95 - Ensemble Learning Section Overview.mp4 |
16.07Мб |
| 95 - Ensemble Learning Section Overview English.vtt |
4.56Кб |
| 96 |
581.00Кб |
| 96 - Ensemble Learning Example.txt |
76б |
| 96 - What is Ensemble Learning.mp4 |
91.97Мб |
| 96 - What is Ensemble Learning English.vtt |
15.10Кб |
| 97 |
864.04Кб |
| 97 - What is Bootstrap Sampling.mp4 |
55.87Мб |
| 97 - What is Bootstrap Sampling English.vtt |
9.52Кб |
| 98 |
558.74Кб |
| 98 - What is Bagging.mp4 |
29.48Мб |
| 98 - What is Bagging English.vtt |
6.68Кб |
| 99 |
412.85Кб |
| 99 - OutofBag Error OOB Error.mp4 |
42.02Мб |
| 99 - OutofBag Error OOB Error English.vtt |
8.63Кб |
| 9 - What is Data Science.mp4 |
87.99Мб |
| 9 - What is Data Science English.vtt |
18.35Кб |
| TutsNode.net.txt |
63б |