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