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| [FreeCourseLab.com].url |
126б |
| 1. [Activity] Linear Regression.mp4 |
100.47Мб |
| 1. [Activity] Linear Regression.vtt |
23.14Кб |
| 1. AB Testing Concepts.mp4 |
97.48Мб |
| 1. AB Testing Concepts.vtt |
18.25Кб |
| 1. BiasVariance Tradeoff.mp4 |
66.31Мб |
| 1. BiasVariance Tradeoff.vtt |
13.04Кб |
| 1. Deep Learning Pre-Requisites.mp4 |
67.87Мб |
| 1. Deep Learning Pre-Requisites.vtt |
17.14Кб |
| 1. Introduction.mp4 |
59.60Мб |
| 1. Introduction.vtt |
4.24Кб |
| 1. K-Nearest-Neighbors Concepts.mp4 |
40.28Мб |
| 1. K-Nearest-Neighbors Concepts.vtt |
8.12Кб |
| 1. More to Explore.mp4 |
64.07Мб |
| 1. More to Explore.vtt |
6.62Кб |
| 1. Supervised vs. Unsupervised Learning, and TrainTest.mp4 |
98.62Мб |
| 1. Supervised vs. Unsupervised Learning, and TrainTest.vtt |
18.93Кб |
| 1. Types of Data.mp4 |
77.25Мб |
| 1. Types of Data.vtt |
14.69Кб |
| 1. User-Based Collaborative Filtering.mp4 |
86.37Мб |
| 1. User-Based Collaborative Filtering.vtt |
17.53Кб |
| 1. Warning about Java 11 and Spark 2.4!.html |
615б |
| 1. Your final project assignment.mp4 |
58.90Мб |
| 1. Your final project assignment.vtt |
10.13Кб |
| 10. [Activity] Decision Trees Predicting Hiring Decisions.mp4 |
95.95Мб |
| 10. [Activity] Decision Trees Predicting Hiring Decisions.vtt |
20.26Кб |
| 10. [Exercise] Conditional Probability.mp4 |
130.37Мб |
| 10. [Exercise] Conditional Probability.vtt |
23.28Кб |
| 10. Convolutional Neural Networks (CNN's).mp4 |
93.09Мб |
| 10. Convolutional Neural Networks (CNN's).vtt |
17.55Кб |
| 10. TF IDF.mp4 |
68.85Мб |
| 10. TF IDF.vtt |
12.71Кб |
| 11. [Activity] Searching Wikipedia with Spark.mp4 |
111.51Мб |
| 11. [Activity] Searching Wikipedia with Spark.vtt |
13.99Кб |
| 11. [Activity] Using CNN's for handwriting recognition.mp4 |
80.80Мб |
| 11. [Activity] Using CNN's for handwriting recognition.vtt |
16.30Кб |
| 11. Ensemble Learning.mp4 |
65.22Мб |
| 11. Ensemble Learning.vtt |
13.15Кб |
| 11. Exercise Solution Conditional Probability of Purchase by Age.mp4 |
28.74Мб |
| 11. Exercise Solution Conditional Probability of Purchase by Age.vtt |
4.47Кб |
| 12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 |
113.82Мб |
| 12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.vtt |
15.78Кб |
| 12. Bayes' Theorem.mp4 |
58.90Мб |
| 12. Bayes' Theorem.vtt |
10.44Кб |
| 12. Recurrent Neural Networks (RNN's).mp4 |
69.17Мб |
| 12. Recurrent Neural Networks (RNN's).vtt |
16.33Кб |
| 12. Support Vector Machines (SVM) Overview.mp4 |
44.74Мб |
| 12. Support Vector Machines (SVM) Overview.vtt |
9.00Кб |
| 13. [Activity] Using a RNN for sentiment analysis.mp4 |
94.77Мб |
| 13. [Activity] Using a RNN for sentiment analysis.vtt |
20.70Кб |
| 13. [Activity] Using SVM to cluster people using scikit-learn.mp4 |
54.98Мб |
| 13. [Activity] Using SVM to cluster people using scikit-learn.vtt |
10.81Кб |
| 14. The Ethics of Deep Learning.mp4 |
128.25Мб |
| 14. The Ethics of Deep Learning.vtt |
17.46Кб |
| 15. Learning More about Deep Learning.mp4 |
38.65Мб |
| 15. Learning More about Deep Learning.vtt |
2.75Кб |
| 2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4 |
102.34Мб |
| 2. [Activity] K-Fold Cross-Validation to avoid overfitting.vtt |
22.14Кб |
| 2. [Activity] Polynomial Regression.mp4 |
66.77Мб |
| 2. [Activity] Polynomial Regression.vtt |
15.92Кб |
| 2. [Activity] Using KNN to predict a rating for a movie.mp4 |
142.07Мб |
| 2. [Activity] Using KNN to predict a rating for a movie.vtt |
25.63Кб |
| 2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4 |
58.14Мб |
| 2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.vtt |
11.89Кб |
| 2. Don't Forget to Leave a Rating!.html |
564б |
| 2. Final project review.mp4 |
98.50Мб |
| 2. Final project review.vtt |
22.16Кб |
| 2. Item-Based Collaborative Filtering.mp4 |
75.01Мб |
| 2. Item-Based Collaborative Filtering.vtt |
18.07Кб |
| 2. Mean, Median, Mode.mp4 |
56.15Мб |
| 2. Mean, Median, Mode.vtt |
11.75Кб |
| 2. Spark installation notes for MacOS and Linux users.html |
3.48Кб |
| 2. The History of Artificial Neural Networks.mp4 |
79.99Мб |
| 2. The History of Artificial Neural Networks.vtt |
16.76Кб |
| 2. T-Tests and P-Values.mp4 |
64.91Мб |
| 2. T-Tests and P-Values.vtt |
11.98Кб |
| 2. Udemy 101 Getting the Most From This Course.mp4 |
19.78Мб |
| 2. Udemy 101 Getting the Most From This Course.vtt |
3.56Кб |
| 3. [Activity] Deep Learning in the Tensorflow Playground.mp4 |
141.58Мб |
| 3. [Activity] Deep Learning in the Tensorflow Playground.vtt |
17.07Кб |
| 3. [Activity] Finding Movie Similarities.mp4 |
107.83Мб |
| 3. [Activity] Finding Movie Similarities.vtt |
18.17Кб |
| 3. [Activity] Getting What You Need.mp4 |
28.06Мб |
| 3. [Activity] Getting What You Need.vtt |
4.22Кб |
| 3. [Activity] Hands-on With T-Tests.mp4 |
81.62Мб |
| 3. [Activity] Hands-on With T-Tests.vtt |
12.40Кб |
| 3. [Activity] Installing Spark - Part 1.mp4 |
87.37Мб |
| 3. [Activity] Installing Spark - Part 1.vtt |
15.07Кб |
| 3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 |
123.78Мб |
| 3. [Activity] Multivariate Regression, and Predicting Car Prices.vtt |
22.65Кб |
| 3. [Activity] Using mean, median, and mode in Python.mp4 |
92.74Мб |
| 3. [Activity] Using mean, median, and mode in Python.vtt |
16.53Кб |
| 3.1 Course Facebook Group.html |
109б |
| 3.1 winutils.exe.html |
108б |
| 3.2 Course materials and setup steps.html |
100б |
| 3. Bayesian Methods Concepts.mp4 |
40.72Мб |
| 3. Bayesian Methods Concepts.vtt |
8.04Кб |
| 3. Bonus Lecture Discounts to continue your journey!.html |
7.41Кб |
| 3. Data Cleaning and Normalization.mp4 |
78.75Мб |
| 3. Data Cleaning and Normalization.vtt |
15.48Кб |
| 3. Dimensionality Reduction; Principal Component Analysis.mp4 |
67.75Мб |
| 3. Dimensionality Reduction; Principal Component Analysis.vtt |
11.18Кб |
| 4. [Activity] Cleaning web log data.mp4 |
129.39Мб |
| 4. [Activity] Cleaning web log data.vtt |
21.50Кб |
| 4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4 |
89.09Мб |
| 4. [Activity] Implementing a Spam Classifier with Naive Bayes.vtt |
15.79Кб |
| 4. [Activity] Improving the Results of Movie Similarities.mp4 |
94.87Мб |
| 4. [Activity] Improving the Results of Movie Similarities.vtt |
15.20Кб |
| 4. [Activity] Installing Enthought Canopy.mp4 |
109.01Мб |
| 4. [Activity] Installing Enthought Canopy.vtt |
12.43Кб |
| 4. [Activity] Installing Spark - Part 2.mp4 |
172.29Мб |
| 4. [Activity] Installing Spark - Part 2.vtt |
25.59Кб |
| 4. [Activity] PCA Example with the Iris data set.mp4 |
109.73Мб |
| 4. [Activity] PCA Example with the Iris data set.vtt |
19.07Кб |
| 4. [Activity] Variation and Standard Deviation.mp4 |
110.86Мб |
| 4. [Activity] Variation and Standard Deviation.vtt |
23.29Кб |
| 4.1 Enthought Canopy website.html |
86б |
| 4.1 winutils.exe.html |
108б |
| 4. Deep Learning Details.mp4 |
64.22Мб |
| 4. Deep Learning Details.vtt |
14.85Кб |
| 4. Determining How Long to Run an Experiment.mp4 |
34.85Мб |
| 4. Determining How Long to Run an Experiment.vtt |
7.61Кб |
| 4. Multi-Level Models.mp4 |
47.47Мб |
| 4. Multi-Level Models.vtt |
9.70Кб |
| 5. [Activity] Making Movie Recommendations to People.mp4 |
132.55Мб |
| 5. [Activity] Making Movie Recommendations to People.vtt |
20.46Кб |
| 5. AB Test Gotchas.mp4 |
96.10Мб |
| 5. AB Test Gotchas.vtt |
19.82Кб |
| 5. Data Warehousing Overview ETL and ELT.mp4 |
103.34Мб |
| 5. Data Warehousing Overview ETL and ELT.vtt |
17.83Кб |
| 5. Introducing Tensorflow.mp4 |
96.39Мб |
| 5. Introducing Tensorflow.vtt |
19.71Кб |
| 5. K-Means Clustering.mp4 |
71.95Мб |
| 5. K-Means Clustering.vtt |
15.55Кб |
| 5. Normalizing numerical data.mp4 |
38.21Мб |
| 5. Normalizing numerical data.vtt |
7.00Кб |
| 5. Probability Density Function; Probability Mass Function.mp4 |
30.07Мб |
| 5. Probability Density Function; Probability Mass Function.vtt |
6.93Кб |
| 5. Python Basics, Part 1 [Optional].mp4 |
133.83Мб |
| 5. Python Basics, Part 1 [Optional].vtt |
32.14Кб |
| 5. Spark Introduction.mp4 |
89.87Мб |
| 5. Spark Introduction.vtt |
19.18Кб |
| 6. [Activity] Clustering people based on income and age.mp4 |
57.30Мб |
| 6. [Activity] Clustering people based on income and age.vtt |
10.49Кб |
| 6. [Activity] Detecting outliers.mp4 |
83.60Мб |
| 6. [Activity] Detecting outliers.vtt |
13.99Кб |
| 6. [Activity] Python Basics, Part 2 [Optional].mp4 |
77.20Мб |
| 6. [Activity] Python Basics, Part 2 [Optional].vtt |
18.92Кб |
| 6. [Activity] Using Tensorflow, Part 1.mp4 |
102.32Мб |
| 6. [Activity] Using Tensorflow, Part 1.vtt |
19.32Кб |
| 6. [Exercise] Improve the recommender's results.mp4 |
84.24Мб |
| 6. [Exercise] Improve the recommender's results.vtt |
11.97Кб |
| 6.1 Cat and Mouse Example.html |
140б |
| 6.2 Pac-Man Example.html |
145б |
| 6.3 Python Markov Decision Process Toolbox.html |
119б |
| 6. Common Data Distributions.mp4 |
75.37Мб |
| 6. Common Data Distributions.vtt |
14.57Кб |
| 6. Reinforcement Learning.mp4 |
132.27Мб |
| 6. Reinforcement Learning.vtt |
25.68Кб |
| 6. Spark and the Resilient Distributed Dataset (RDD).mp4 |
98.52Мб |
| 6. Spark and the Resilient Distributed Dataset (RDD).vtt |
22.17Кб |
| 7. [Activity] Percentiles and Moments.mp4 |
114.05Мб |
| 7. [Activity] Percentiles and Moments.vtt |
25.49Кб |
| 7. [Activity] Using Tensorflow, Part 2.mp4 |
133.62Мб |
| 7. [Activity] Using Tensorflow, Part 2.vtt |
19.43Кб |
| 7. Introducing MLLib.mp4 |
54.75Мб |
| 7. Introducing MLLib.vtt |
10.43Кб |
| 7. Measuring Entropy.mp4 |
34.98Мб |
| 7. Measuring Entropy.vtt |
6.31Кб |
| 7. Running Python Scripts [Optional].mp4 |
44.70Мб |
| 7. Running Python Scripts [Optional].vtt |
8.16Кб |
| 8. [Activity] A Crash Course in matplotlib.mp4 |
129.36Мб |
| 8. [Activity] A Crash Course in matplotlib.vtt |
25.83Кб |
| 8. [Activity] Decision Trees in Spark.mp4 |
193.25Мб |
| 8. [Activity] Decision Trees in Spark.vtt |
29.42Кб |
| 8. [Activity] Install GraphViz.html |
1.50Кб |
| 8. [Activity] Introducing Keras.mp4 |
107.45Мб |
| 8. [Activity] Introducing Keras.vtt |
28.58Кб |
| 8. Introducing the Pandas Library [Optional].mp4 |
127.88Мб |
| 8. Introducing the Pandas Library [Optional].vtt |
15.74Кб |
| 9. [Activity] Covariance and Correlation.mp4 |
116.75Мб |
| 9. [Activity] Covariance and Correlation.vtt |
23.43Кб |
| 9. [Activity] K-Means Clustering in Spark.mp4 |
133.83Мб |
| 9. [Activity] K-Means Clustering in Spark.vtt |
20.24Кб |
| 9. [Activity] Using Keras to Predict Political Affiliations.mp4 |
104.32Мб |
| 9. [Activity] Using Keras to Predict Political Affiliations.vtt |
26.11Кб |
| 9. Decision Trees Concepts.mp4 |
86.53Мб |
| 9. Decision Trees Concepts.vtt |
19.05Кб |