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1. Getting Started/1. Introduction.vtt
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1. Getting Started/2. Udemy 101 Getting the Most From This Course.mp4
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3.56KB
1. Getting Started/3. [Activity] Getting What You Need.mp4
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1. Getting Started/3.1 Course Facebook Group.html
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1. Getting Started/4. [Activity] Installing Enthought Canopy.mp4
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1. Getting Started/5. Python Basics, Part 1 [Optional].mp4
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10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.mp4
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10. Deep Learning and Neural Networks/10. Convolutional Neural Networks (CNN's).mp4
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10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4
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14.85KB
10. Deep Learning and Neural Networks/5. Introducing Tensorflow.mp4
96.39MB
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19.71KB
10. Deep Learning and Neural Networks/6. [Activity] Using Tensorflow, Part 1.mp4
102.32MB
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10. Deep Learning and Neural Networks/8. [Activity] Introducing Keras.mp4
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28.58KB
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104.32MB
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26.11KB
11. Final Project/1. Your final project assignment.mp4
58.9MB
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22.16KB
12. You made it!/1. More to Explore.mp4
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6.62KB
12. You made it!/2. Don't Forget to Leave a Rating!.html
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77.25MB
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130.37MB
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116.75MB
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100.47MB
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23.14KB
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66.77MB
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15.92KB
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123.78MB
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22.65KB
3. Predictive Models/4. Multi-Level Models.mp4
47.47MB
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9.7KB
4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4
98.62MB
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18.93KB
4. Machine Learning with Python/10. [Activity] Decision Trees Predicting Hiring Decisions.mp4
95.95MB
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20.26KB
4. Machine Learning with Python/11. Ensemble Learning.mp4
65.22MB
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13.15KB
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44.74MB
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9KB
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54.98MB
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10.81KB
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58.14MB
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11.89KB
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40.72MB
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8.04KB
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89.09MB
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15.79KB
4. Machine Learning with Python/5. K-Means Clustering.mp4
71.95MB
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15.55KB
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57.3MB
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4. Machine Learning with Python/6. [Activity] Clustering people based on income and age.vtt
10.49KB
4. Machine Learning with Python/7. Measuring Entropy.mp4
34.98MB
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6.31KB
4. Machine Learning with Python/8. [Activity] Install GraphViz.html
1.5KB
4. Machine Learning with Python/9. Decision Trees Concepts.mp4
86.53MB
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19.05KB
5. Recommender Systems/1. User-Based Collaborative Filtering.mp4
86.37MB
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17.53KB
5. Recommender Systems/2. Item-Based Collaborative Filtering.mp4
75.01MB
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18.07KB
5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4
107.83MB
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18.17KB
5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.mp4
94.87MB
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15.2KB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4
132.55MB
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20.46KB
5. Recommender Systems/6. [Exercise] Improve the recommender's results.mp4
84.24MB
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11.97KB
6. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.mp4
40.28MB
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6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4
142.07MB
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25.63KB
6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis.mp4
67.75MB
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6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4
109.73MB
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19.07KB
6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4
103.34MB
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17.83KB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4
132.27MB
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25.68KB
6. More Data Mining and Machine Learning Techniques/6.1 Cat and Mouse Example.html
140B
6. More Data Mining and Machine Learning Techniques/6.2 Pac-Man Example.html
145B
6. More Data Mining and Machine Learning Techniques/6.3 Python Markov Decision Process Toolbox.html
119B
7. Dealing with Real-World Data/1. BiasVariance Tradeoff.mp4
66.31MB
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7. Dealing with Real-World Data/1. BiasVariance Tradeoff.vtt
13.04KB
7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4
102.34MB
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7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.vtt
22.14KB
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78.75MB
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9. Experimental Design/4. Determining How Long to Run an Experiment.mp4
34.85MB
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9. Experimental Design/4. Determining How Long to Run an Experiment.vtt
7.61KB
9. Experimental Design/5. AB Test Gotchas.mp4
96.1MB
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9. Experimental Design/5. AB Test Gotchas.vtt
19.82KB
[FreeCourseLab.com].url
126B