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| [FreeCourseLab.com].url |
126б |
| 1.1 NLP Slides.html |
161б |
| 1.1 Recommender Slides.html |
161б |
| 1.1 Slides for Clustering.html |
161б |
| 1.1 Slides for Installation Options Overview.html |
161б |
| 1.1 Slides for Linear Regression.html |
161б |
| 1.1 Slides for Logistic Regression.html |
161б |
| 1.1 Slides for ML Intro.html |
161б |
| 1.1 Slides for Python Crash Course.html |
161б |
| 1.1 Slides for Spark DataFrame Basics.html |
161б |
| 1.1 Slides for Tree Methods.html |
161б |
| 1.1 Spark Streaming Slides.html |
161б |
| 1.2 Slides for Installation.html |
161б |
| 1. AWS EC2 Set-up Guide.mp4 |
5.29Мб |
| 1. AWS EC2 Set-up Guide.vtt |
3.92Кб |
| 1. AWS EMR Setup.mp4 |
45.34Мб |
| 1. AWS EMR Setup.vtt |
23.13Кб |
| 1. Bonus Lecture Coupons.html |
5.79Кб |
| 1. Databricks Setup.mp4 |
27.62Мб |
| 1. Databricks Setup.vtt |
16.54Кб |
| 1. DataFrame Project Exercise.mp4 |
11.90Мб |
| 1. DataFrame Project Exercise.vtt |
4.79Кб |
| 1. Introduction.mp4 |
11.61Мб |
| 1. Introduction.vtt |
4.00Кб |
| 1. Introduction to Machine Learning and ISLR.mp4 |
18.92Мб |
| 1. Introduction to Machine Learning and ISLR.vtt |
15.45Кб |
| 1. Introduction to Natural Language Processing.mp4 |
14.33Мб |
| 1. Introduction to Natural Language Processing.vtt |
11.65Кб |
| 1. Introduction to Python Crash Course.mp4 |
3.09Мб |
| 1. Introduction to Python Crash Course.vtt |
2.11Кб |
| 1. Introduction to Recommender Systems.mp4 |
12.68Мб |
| 1. Introduction to Recommender Systems.vtt |
8.89Кб |
| 1. Introduction to Spark DataFrames.mp4 |
4.70Мб |
| 1. Introduction to Spark DataFrames.vtt |
3.20Кб |
| 1. Introduction to Streaming with Spark!.mp4 |
32.63Мб |
| 1. Introduction to Streaming with Spark!.vtt |
15.41Кб |
| 1. K-means Clustering Theory and Reading.mp4 |
12.90Мб |
| 1. K-means Clustering Theory and Reading.vtt |
9.39Кб |
| 1. Linear Regression Theory and Reading.mp4 |
9.89Мб |
| 1. Linear Regression Theory and Reading.vtt |
7.16Кб |
| 1. Local Installation VirtualBox Part 1.mp4 |
37.69Мб |
| 1. Local Installation VirtualBox Part 1.vtt |
15.87Кб |
| 1. Logistic Regression Theory and Reading.mp4 |
20.65Мб |
| 1. Logistic Regression Theory and Reading.vtt |
15.64Кб |
| 1. Set-up Overview.mp4 |
10.83Мб |
| 1. Set-up Overview.vtt |
9.00Кб |
| 1. Tree Methods Theory and Reading.mp4 |
14.66Мб |
| 1. Tree Methods Theory and Reading.vtt |
10.38Кб |
| 2.1 Python-and-Spark-for-Big-Data-master.zip.zip |
1.67Мб |
| 2.2 Course Overview Slides.html |
161б |
| 2. Course Overview.mp4 |
14.44Мб |
| 2. Course Overview.vtt |
12.85Кб |
| 2. Creating the EC2 Instance.mp4 |
62.98Мб |
| 2. Creating the EC2 Instance.vtt |
21.21Кб |
| 2. DataFrame Project Exercise Solutions.mp4 |
45.06Мб |
| 2. DataFrame Project Exercise Solutions.vtt |
19.62Кб |
| 2. Jupyter Notebook Overview.mp4 |
13.21Мб |
| 2. Jupyter Notebook Overview.vtt |
9.94Кб |
| 2. KMeans Clustering Documentation Example.mp4 |
20.85Мб |
| 2. KMeans Clustering Documentation Example.vtt |
12.88Кб |
| 2. Linear Regression Documentation Example.mp4 |
40.64Мб |
| 2. Linear Regression Documentation Example.vtt |
19.09Кб |
| 2. Local Installation VirtualBox Part 2.mp4 |
46.49Мб |
| 2. Local Installation VirtualBox Part 2.vtt |
16.39Кб |
| 2. Logistic Regression Example Code Along.mp4 |
53.37Мб |
| 2. Logistic Regression Example Code Along.vtt |
20.60Кб |
| 2. Machine Learning with Spark and Python with MLlib.mp4 |
51.33Мб |
| 2. Machine Learning with Spark and Python with MLlib.vtt |
13.91Кб |
| 2. NLP Tools Part One.mp4 |
36.19Мб |
| 2. NLP Tools Part One.vtt |
19.99Кб |
| 2. Note on Installation Sections.html |
347б |
| 2. Recommender System - Code Along Project.mp4 |
24.60Мб |
| 2. Recommender System - Code Along Project.vtt |
15.70Кб |
| 2. Spark DataFrame Basics.mp4 |
21.08Мб |
| 2. Spark DataFrame Basics.vtt |
14.34Кб |
| 2. Spark Streaming Documentation Example.mp4 |
28.58Мб |
| 2. Spark Streaming Documentation Example.vtt |
15.27Кб |
| 2. Tree Methods Documentation Examples.mp4 |
34.16Мб |
| 2. Tree Methods Documentation Examples.vtt |
18.11Кб |
| 3.1 Great Example from Databricks.html |
150б |
| 3.1 Python-and-Spark-for-Big-Data-master.zip.zip |
1.67Мб |
| 3.2 Explanation of AUC.html |
148б |
| 3. Clustering Example Code Along.mp4 |
27.88Мб |
| 3. Clustering Example Code Along.vtt |
16.29Кб |
| 3. Decision Tress and Random Forest Code Along Examples.mp4 |
49.11Мб |
| 3. Decision Tress and Random Forest Code Along Examples.vtt |
26.76Кб |
| 3. Frequently Asked Questions.html |
447б |
| 3. Logistic Regression Code Along.mp4 |
41.48Мб |
| 3. Logistic Regression Code Along.vtt |
23.97Кб |
| 3. NLP Tools Part Two.mp4 |
18.87Мб |
| 3. NLP Tools Part Two.vtt |
9.45Кб |
| 3. Python Crash Course Part One.mp4 |
29.53Мб |
| 3. Python Crash Course Part One.vtt |
20.66Кб |
| 3. Regression Evaluation.mp4 |
11.97Мб |
| 3. Regression Evaluation.vtt |
9.53Кб |
| 3. Setting up PySpark.mp4 |
15.55Мб |
| 3. Setting up PySpark.vtt |
7.25Кб |
| 3. Spark DataFrame Basics Part Two.mp4 |
19.72Мб |
| 3. Spark DataFrame Basics Part Two.vtt |
12.64Кб |
| 3. Spark Streaming Twitter Project - Part.mp4 |
11.79Мб |
| 3. Spark Streaming Twitter Project - Part.vtt |
6.38Кб |
| 3. SSH with Mac or Linux.mp4 |
9.25Мб |
| 3. SSH with Mac or Linux.vtt |
6.52Кб |
| 4.1 Ecommerce_Customers.csv.csv |
84.83Кб |
| 4.1 Spark and Python Slides.html |
161б |
| 4. Clustering Consulting Project.mp4 |
6.59Мб |
| 4. Clustering Consulting Project.vtt |
4.18Кб |
| 4. Installations on EC2.mp4 |
50.41Мб |
| 4. Installations on EC2.vtt |
17.68Кб |
| 4. Linear Regression Example Code Along.mp4 |
39.18Мб |
| 4. Linear Regression Example Code Along.vtt |
20.30Кб |
| 4. Logistic Regression Consulting Project.mp4 |
6.34Мб |
| 4. Logistic Regression Consulting Project.vtt |
4.70Кб |
| 4. Natural Language Processing Code Along Project.mp4 |
35.21Мб |
| 4. Natural Language Processing Code Along Project.vtt |
17.15Кб |
| 4. Python Crash Course Part Two.mp4 |
22.25Мб |
| 4. Python Crash Course Part Two.vtt |
15.07Кб |
| 4. Random Forest - Classification Consulting Project.mp4 |
5.41Мб |
| 4. Random Forest - Classification Consulting Project.vtt |
3.38Кб |
| 4. Spark DataFrame Basic Operations.mp4 |
27.58Мб |
| 4. Spark DataFrame Basic Operations.vtt |
14.01Кб |
| 4. Spark Streaming Twitter Project - Part Two.mp4 |
29.31Мб |
| 4. Spark Streaming Twitter Project - Part Two.vtt |
15.86Кб |
| 4. What is Spark Why Python.mp4 |
48.15Мб |
| 4. What is Spark Why Python.vtt |
26.91Кб |
| 5. Clustering Consulting Project Solutions.mp4 |
23.04Мб |
| 5. Clustering Consulting Project Solutions.vtt |
10.06Кб |
| 5. Groupby and Aggregate Operations.mp4 |
28.82Мб |
| 5. Groupby and Aggregate Operations.vtt |
16.52Кб |
| 5. Linear Regression Consulting Project.mp4 |
6.75Мб |
| 5. Linear Regression Consulting Project.vtt |
4.32Кб |
| 5. Logistic Regression Consulting Project Solutions.mp4 |
33.97Мб |
| 5. Logistic Regression Consulting Project Solutions.vtt |
13.37Кб |
| 5. Python Crash Course Part Three.mp4 |
23.17Мб |
| 5. Python Crash Course Part Three.vtt |
14.01Кб |
| 5. Random Forest Classification Consulting Project Solutions.mp4 |
15.92Мб |
| 5. Random Forest Classification Consulting Project Solutions.vtt |
10.31Кб |
| 5. Spark Streaming Twitter Project - Part Three.mp4 |
55.00Мб |
| 5. Spark Streaming Twitter Project - Part Three.vtt |
25.52Кб |
| 6. Linear Regression Consulting Project Solutions.mp4 |
38.76Мб |
| 6. Linear Regression Consulting Project Solutions.vtt |
19.87Кб |
| 6. Missing Data.mp4 |
17.23Мб |
| 6. Missing Data.vtt |
11.71Кб |
| 6. Python Crash Course Exercises.mp4 |
5.01Мб |
| 6. Python Crash Course Exercises.vtt |
2.15Кб |
| 7. Dates and Timestamps.mp4 |
24.13Мб |
| 7. Dates and Timestamps.vtt |
12.71Кб |
| 7. Python Crash Course Exercise Solutions.mp4 |
25.10Мб |
| 7. Python Crash Course Exercise Solutions.vtt |
11.18Кб |