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[FreeTutorials.Us].txt |
75B |
001 Introduction.mp4 |
11.61MB |
002 Course Overview.mp4 |
14.43MB |
003 Frequently Asked Questions.html |
759B |
004 What is Spark Why Python.mp4 |
48.14MB |
005 Set-up Overview.mp4 |
10.83MB |
006 Note on Installation Sections.html |
662B |
007 Local Installation VirtualBox Part 1.mp4 |
37.68MB |
008 Local Installation VirtualBox Part 2.mp4 |
46.48MB |
009 Setting up PySpark.mp4 |
15.54MB |
010 AWS EC2 Set-up Guide.mp4 |
5.29MB |
011 Creating the EC2 Instance.mp4 |
62.98MB |
012 SSH with Mac or Linux.mp4 |
9.25MB |
013 Installations on EC2.mp4 |
50.40MB |
014 Databricks Setup.mp4 |
27.62MB |
015 AWS EMR Setup.mp4 |
45.33MB |
016 Introduction to Python Crash Course.mp4 |
3.08MB |
017 Jupyter Notebook Overview.mp4 |
13.21MB |
018 Python Crash Course Part One.mp4 |
29.52MB |
019 Python Crash Course Part Two.mp4 |
22.25MB |
020 Python Crash Course Part Three.mp4 |
23.17MB |
021 Python Crash Course Exercises.mp4 |
5.00MB |
022 Python Crash Course Exercise Solutions.mp4 |
25.10MB |
023 Introduction to Spark DataFrames.mp4 |
4.69MB |
024 Spark DataFrame Basics.mp4 |
21.07MB |
025 Spark DataFrame Basics Part Two.mp4 |
19.71MB |
026 Spark DataFrame Basic Operations.mp4 |
27.57MB |
027 Groupby and Aggregate Operations.mp4 |
28.82MB |
028 Missing Data.mp4 |
17.22MB |
029 Dates and Timestamps.mp4 |
24.12MB |
030 DataFrame Project Exercise.mp4 |
11.89MB |
031 DataFrame Project Exercise Solutions.mp4 |
45.06MB |
032 Introduction to Machine Learning and ISLR.mp4 |
18.92MB |
033 Machine Learning with Spark and Python with MLlib.mp4 |
51.32MB |
034 Linear Regression Theory and Reading.mp4 |
9.88MB |
035 Linear Regression Documentation Example.mp4 |
40.63MB |
036 Regression Evaluation.mp4 |
11.96MB |
037 Linear Regression Example Code Along.mp4 |
39.17MB |
038 Linear Regression Consulting Project.mp4 |
6.75MB |
039 Linear Regression Consulting Project Solutions.mp4 |
38.75MB |
040 Logistic Regression Theory and Reading.mp4 |
20.64MB |
041 Logistic Regression Example Code Along.mp4 |
53.36MB |
042 Logistic Regression Consulting Project.mp4 |
6.33MB |
043 Logistic Regression Consulting Project Solutions.mp4 |
33.97MB |
044 Tree Methods Theory and Reading.mp4 |
14.66MB |
045 Tree Methods Documentation Examples.mp4 |
34.15MB |
046 Decision Tress and Random Forest Code Along Examples.mp4 |
49.10MB |
047 Random Forest - Classification Consulting Project.mp4 |
5.41MB |
048 Random Forest Classification Consulting Project Solutions.mp4 |
15.91MB |
049 K-means Clustering Theory and Reading.mp4 |
12.89MB |
050 KMeans Clustering Documentation Example.mp4 |
20.85MB |
051 Clustering Example Code Along.mp4 |
27.88MB |
052 Clustering Consulting Project.mp4 |
6.59MB |
053 Clustering Consulting Project Solutions.mp4 |
23.03MB |
054 Introduction to Recommender Systems.mp4 |
12.68MB |
055 Recommender System - Code Along Project.mp4 |
24.59MB |
056 Introduction to Natural Language Processing.mp4 |
14.32MB |
057 NLP Tools Part One.mp4 |
36.19MB |
058 NLP Tools Part Two.mp4 |
18.86MB |
059 Natural Language Processing Code Along Project.mp4 |
35.20MB |
060 Introduction to Streaming with Spark.mp4 |
32.62MB |
061 Spark Streaming Documentation Example.mp4 |
28.57MB |
062 Spark Streaming Twitter Project - Part.mp4 |
11.79MB |
063 Spark Streaming Twitter Project - Part Two.mp4 |
29.30MB |
064 Spark Streaming Twitter Project - Part Three.mp4 |
55.00MB |
065 BONUS LECTURE.html |
1.53KB |
Ecommerce-Customers.csv |
84.83KB |
Freetutorials.Us.url |
119B |
Python-and-Spark-for-Big-Data-master.zip |
1.67MB |
Python-and-Spark-for-Big-Data-master.zip |
1.67MB |