|
Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
|
| [FreeCourseLab.com].url |
126B |
| 1.1 NLP Slides.html |
161B |
| 1.1 Recommender Slides.html |
161B |
| 1.1 Slides for Clustering.html |
161B |
| 1.1 Slides for Installation Options Overview.html |
161B |
| 1.1 Slides for Linear Regression.html |
161B |
| 1.1 Slides for Logistic Regression.html |
161B |
| 1.1 Slides for ML Intro.html |
161B |
| 1.1 Slides for Python Crash Course.html |
161B |
| 1.1 Slides for Spark DataFrame Basics.html |
161B |
| 1.1 Slides for Tree Methods.html |
161B |
| 1.1 Spark Streaming Slides.html |
161B |
| 1.2 Slides for Installation.html |
161B |
| 1. AWS EC2 Set-up Guide.mp4 |
5.29MB |
| 1. AWS EC2 Set-up Guide.vtt |
3.92KB |
| 1. AWS EMR Setup.mp4 |
45.34MB |
| 1. AWS EMR Setup.vtt |
23.13KB |
| 1. Bonus Lecture Coupons.html |
5.79KB |
| 1. Databricks Setup.mp4 |
27.62MB |
| 1. Databricks Setup.vtt |
16.54KB |
| 1. DataFrame Project Exercise.mp4 |
11.90MB |
| 1. DataFrame Project Exercise.vtt |
4.79KB |
| 1. Introduction.mp4 |
11.61MB |
| 1. Introduction.vtt |
4.00KB |
| 1. Introduction to Machine Learning and ISLR.mp4 |
18.92MB |
| 1. Introduction to Machine Learning and ISLR.vtt |
15.45KB |
| 1. Introduction to Natural Language Processing.mp4 |
14.33MB |
| 1. Introduction to Natural Language Processing.vtt |
11.65KB |
| 1. Introduction to Python Crash Course.mp4 |
3.09MB |
| 1. Introduction to Python Crash Course.vtt |
2.11KB |
| 1. Introduction to Recommender Systems.mp4 |
12.68MB |
| 1. Introduction to Recommender Systems.vtt |
8.89KB |
| 1. Introduction to Spark DataFrames.mp4 |
4.70MB |
| 1. Introduction to Spark DataFrames.vtt |
3.20KB |
| 1. Introduction to Streaming with Spark!.mp4 |
32.63MB |
| 1. Introduction to Streaming with Spark!.vtt |
15.41KB |
| 1. K-means Clustering Theory and Reading.mp4 |
12.90MB |
| 1. K-means Clustering Theory and Reading.vtt |
9.39KB |
| 1. Linear Regression Theory and Reading.mp4 |
9.89MB |
| 1. Linear Regression Theory and Reading.vtt |
7.16KB |
| 1. Local Installation VirtualBox Part 1.mp4 |
37.69MB |
| 1. Local Installation VirtualBox Part 1.vtt |
15.87KB |
| 1. Logistic Regression Theory and Reading.mp4 |
20.65MB |
| 1. Logistic Regression Theory and Reading.vtt |
15.64KB |
| 1. Set-up Overview.mp4 |
10.83MB |
| 1. Set-up Overview.vtt |
9.00KB |
| 1. Tree Methods Theory and Reading.mp4 |
14.66MB |
| 1. Tree Methods Theory and Reading.vtt |
10.38KB |
| 2.1 Python-and-Spark-for-Big-Data-master.zip.zip |
1.67MB |
| 2.2 Course Overview Slides.html |
161B |
| 2. Course Overview.mp4 |
14.44MB |
| 2. Course Overview.vtt |
12.85KB |
| 2. Creating the EC2 Instance.mp4 |
62.98MB |
| 2. Creating the EC2 Instance.vtt |
21.21KB |
| 2. DataFrame Project Exercise Solutions.mp4 |
45.06MB |
| 2. DataFrame Project Exercise Solutions.vtt |
19.62KB |
| 2. Jupyter Notebook Overview.mp4 |
13.21MB |
| 2. Jupyter Notebook Overview.vtt |
9.94KB |
| 2. KMeans Clustering Documentation Example.mp4 |
20.85MB |
| 2. KMeans Clustering Documentation Example.vtt |
12.88KB |
| 2. Linear Regression Documentation Example.mp4 |
40.64MB |
| 2. Linear Regression Documentation Example.vtt |
19.09KB |
| 2. Local Installation VirtualBox Part 2.mp4 |
46.49MB |
| 2. Local Installation VirtualBox Part 2.vtt |
16.39KB |
| 2. Logistic Regression Example Code Along.mp4 |
53.37MB |
| 2. Logistic Regression Example Code Along.vtt |
20.60KB |
| 2. Machine Learning with Spark and Python with MLlib.mp4 |
51.33MB |
| 2. Machine Learning with Spark and Python with MLlib.vtt |
13.91KB |
| 2. NLP Tools Part One.mp4 |
36.19MB |
| 2. NLP Tools Part One.vtt |
19.99KB |
| 2. Note on Installation Sections.html |
347B |
| 2. Recommender System - Code Along Project.mp4 |
24.60MB |
| 2. Recommender System - Code Along Project.vtt |
15.70KB |
| 2. Spark DataFrame Basics.mp4 |
21.08MB |
| 2. Spark DataFrame Basics.vtt |
14.34KB |
| 2. Spark Streaming Documentation Example.mp4 |
28.58MB |
| 2. Spark Streaming Documentation Example.vtt |
15.27KB |
| 2. Tree Methods Documentation Examples.mp4 |
34.16MB |
| 2. Tree Methods Documentation Examples.vtt |
18.11KB |
| 3.1 Great Example from Databricks.html |
150B |
| 3.1 Python-and-Spark-for-Big-Data-master.zip.zip |
1.67MB |
| 3.2 Explanation of AUC.html |
148B |
| 3. Clustering Example Code Along.mp4 |
27.88MB |
| 3. Clustering Example Code Along.vtt |
16.29KB |
| 3. Decision Tress and Random Forest Code Along Examples.mp4 |
49.11MB |
| 3. Decision Tress and Random Forest Code Along Examples.vtt |
26.76KB |
| 3. Frequently Asked Questions.html |
447B |
| 3. Logistic Regression Code Along.mp4 |
41.48MB |
| 3. Logistic Regression Code Along.vtt |
23.97KB |
| 3. NLP Tools Part Two.mp4 |
18.87MB |
| 3. NLP Tools Part Two.vtt |
9.45KB |
| 3. Python Crash Course Part One.mp4 |
29.53MB |
| 3. Python Crash Course Part One.vtt |
20.66KB |
| 3. Regression Evaluation.mp4 |
11.97MB |
| 3. Regression Evaluation.vtt |
9.53KB |
| 3. Setting up PySpark.mp4 |
15.55MB |
| 3. Setting up PySpark.vtt |
7.25KB |
| 3. Spark DataFrame Basics Part Two.mp4 |
19.72MB |
| 3. Spark DataFrame Basics Part Two.vtt |
12.64KB |
| 3. Spark Streaming Twitter Project - Part.mp4 |
11.79MB |
| 3. Spark Streaming Twitter Project - Part.vtt |
6.38KB |
| 3. SSH with Mac or Linux.mp4 |
9.25MB |
| 3. SSH with Mac or Linux.vtt |
6.52KB |
| 4.1 Ecommerce_Customers.csv.csv |
84.83KB |
| 4.1 Spark and Python Slides.html |
161B |
| 4. Clustering Consulting Project.mp4 |
6.59MB |
| 4. Clustering Consulting Project.vtt |
4.18KB |
| 4. Installations on EC2.mp4 |
50.41MB |
| 4. Installations on EC2.vtt |
17.68KB |
| 4. Linear Regression Example Code Along.mp4 |
39.18MB |
| 4. Linear Regression Example Code Along.vtt |
20.30KB |
| 4. Logistic Regression Consulting Project.mp4 |
6.34MB |
| 4. Logistic Regression Consulting Project.vtt |
4.70KB |
| 4. Natural Language Processing Code Along Project.mp4 |
35.21MB |
| 4. Natural Language Processing Code Along Project.vtt |
17.15KB |
| 4. Python Crash Course Part Two.mp4 |
22.25MB |
| 4. Python Crash Course Part Two.vtt |
15.07KB |
| 4. Random Forest - Classification Consulting Project.mp4 |
5.41MB |
| 4. Random Forest - Classification Consulting Project.vtt |
3.38KB |
| 4. Spark DataFrame Basic Operations.mp4 |
27.58MB |
| 4. Spark DataFrame Basic Operations.vtt |
14.01KB |
| 4. Spark Streaming Twitter Project - Part Two.mp4 |
29.31MB |
| 4. Spark Streaming Twitter Project - Part Two.vtt |
15.86KB |
| 4. What is Spark Why Python.mp4 |
48.15MB |
| 4. What is Spark Why Python.vtt |
26.91KB |
| 5. Clustering Consulting Project Solutions.mp4 |
23.04MB |
| 5. Clustering Consulting Project Solutions.vtt |
10.06KB |
| 5. Groupby and Aggregate Operations.mp4 |
28.82MB |
| 5. Groupby and Aggregate Operations.vtt |
16.52KB |
| 5. Linear Regression Consulting Project.mp4 |
6.75MB |
| 5. Linear Regression Consulting Project.vtt |
4.32KB |
| 5. Logistic Regression Consulting Project Solutions.mp4 |
33.97MB |
| 5. Logistic Regression Consulting Project Solutions.vtt |
13.37KB |
| 5. Python Crash Course Part Three.mp4 |
23.17MB |
| 5. Python Crash Course Part Three.vtt |
14.01KB |
| 5. Random Forest Classification Consulting Project Solutions.mp4 |
15.92MB |
| 5. Random Forest Classification Consulting Project Solutions.vtt |
10.31KB |
| 5. Spark Streaming Twitter Project - Part Three.mp4 |
55.00MB |
| 5. Spark Streaming Twitter Project - Part Three.vtt |
25.52KB |
| 6. Linear Regression Consulting Project Solutions.mp4 |
38.76MB |
| 6. Linear Regression Consulting Project Solutions.vtt |
19.87KB |
| 6. Missing Data.mp4 |
17.23MB |
| 6. Missing Data.vtt |
11.71KB |
| 6. Python Crash Course Exercises.mp4 |
5.01MB |
| 6. Python Crash Course Exercises.vtt |
2.15KB |
| 7. Dates and Timestamps.mp4 |
24.13MB |
| 7. Dates and Timestamps.vtt |
12.71KB |
| 7. Python Crash Course Exercise Solutions.mp4 |
25.10MB |
| 7. Python Crash Course Exercise Solutions.vtt |
11.18KB |