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【影视】 [DesireCourse.Com] Udemy - Data Science Natural Language Processing (NLP) in Python

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08 Appendix/021 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
03 Build your own sentiment analyzer/010 Sentiment Analysis in Python.mp4 45.7 MB
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05 Latent Semantic Analysis/016 Latent Semantic Analysis in Python.mp4 26.7 MB
08 Appendix/022 How to Code by Yourself part 1.mp4 25.7 MB
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05 Latent Semantic Analysis/015 PCA and SVD - The underlying math behind LSA.mp4 13.8 MB
02 Build your own spam detector/007 Build your own spam detector - the code.mp4 13.1 MB
01 Natural Language Processing - What is it used for/002 NLP Applications.mp4 11.4 MB
01 Natural Language Processing - What is it used for/005 How to Succeed in this Course.mp4 9.2 MB
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01 Natural Language Processing - What is it used for/001 Introduction and Outline.mp4 5.1 MB
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【压缩文件】 Complete Data Science & Machine Learning Bootcamp - Python 3

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【影视】 [FreeCoursesOnline.Me] UDACITY - Data Engineering Nanodegree v1.0.0

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【压缩文件】 Complete 2020 Data Science & Machine Learning Bootcamp

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【影视】 [FreeCoursesOnline.Me] Coursera - data-structures

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01_basic-data-structures/04_trees/01_trees.mp4 103.0 MB
01_basic-data-structures/03_stacks-and-queues/01_stacks.mp4 93.0 MB
01_basic-data-structures/02_arrays-and-linked-lists/02_singly-linked-lists.mp4 82.3 MB
01_basic-data-structures/02_arrays-and-linked-lists/01_arrays.mp4 68.3 MB
01_basic-data-structures/02_arrays-and-linked-lists/03_doubly-linked-lists.mp4 43.6 MB
03_priority-queues-and-disjoint-sets/05_disjoint-sets-efficient-implementation/04_analysis-optional.mp4 37.2 MB
03_priority-queues-and-disjoint-sets/02_priority-queues-heaps/03_basic-operations.mp4 34.8 MB
04_hash-tables/04_distributed-hash-tables-optional/02_distributed-hash-tables.mp4 28.0 MB
04_hash-tables/02_hash-functions/06_proof-universal-family-for-integers-optional.mp4 26.1 MB
03_priority-queues-and-disjoint-sets/03_priority-queues-heap-sort/01_heap-sort.mp4 25.9 MB
03_priority-queues-and-disjoint-sets/04_disjoint-sets-naive-implementations/02_naive-implementations.mp4 23.5 MB
04_hash-tables/04_distributed-hash-tables-optional/01_instant-uploads-and-storage-optimization-in-dropbox.mp4 23.0 MB
04_hash-tables/02_hash-functions/03_universal-family.mp4 22.1 MB
04_hash-tables/02_hash-functions/07_hashing-strings.mp4 21.7 MB
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【影视】 [FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

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2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt 148.5 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4 113.9 MB

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【影视】 [Udemy][YouRa Allakhverdov] Data Science на Python 3 с нуля (2020)

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04 Функции Python/031 Создание функций в Python.mp4 204.7 MB
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04 Функции Python/032 _args & __kwargs.mp4 187.2 MB
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【影视】 [FreeCourseLab.com] Udemy - Taming Big Data with Apache Spark and Python - Hands On!

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1. Getting Started with Spark/5. [Activity]Getting Set Up Installing Python, a JDK, Spark, and its Dependencies..mp4 249.5 MB
7. You Made It! Where to Go from Here/1. Learning More about Spark and Data Science.mp4 73.2 MB
4. Running Spark on a Cluster/2. [Activity] Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.mp4 68.8 MB
2. Spark Basics and Simple Examples/4. KeyValue RDD's, and the Average Friends by Age Example.mp4 64.7 MB
4. Running Spark on a Cluster/5. [Activity] Create Similar Movies from One Million Ratings - Part 2.mp4 63.1 MB
3. Advanced Examples of Spark Programs/9. [Activity] Running the Similar Movies Script using Spark's Cluster Manager.mp4 60.5 MB
3. Advanced Examples of Spark Programs/7. [Activity] Superhero Degrees of Separation Review the Code and Run it.mp4 57.9 MB
3. Advanced Examples of Spark Programs/8. Item-Based Collaborative Filtering in Spark, cache(), and persist().mp4 48.8 MB
2. Spark Basics and Simple Examples/3. Ratings Histogram Walkthrough.mp4 46.9 MB
3. Advanced Examples of Spark Programs/2. [Activity] Use Broadcast Variables to Display Movie Names Instead of ID Numbers.mp4 40.8 MB
3. Advanced Examples of Spark Programs/5. Superhero Degrees of Separation Introducing Breadth-First Search.mp4 40.1 MB
2. Spark Basics and Simple Examples/2. The Resilient Distributed Dataset (RDD).mp4 37.7 MB
1. Getting Started with Spark/1. Introduction.mp4 37.6 MB
6. Other Spark Technologies and Libraries/5. Spark Streaming and GraphX.mp4 37.3 MB
6. Other Spark Technologies and Libraries/3. Analyzing the ALS Recommendations Results.mp4 36.8 MB
2. Spark Basics and Simple Examples/1. Introduction to Spark.mp4 35.6 MB
2. Spark Basics and Simple Examples/7. [Activity]Running the Minimum Temperature Example, and Modifying it for Maximums.mp4 34.5 MB
2. Spark Basics and Simple Examples/11. [Activity] Sorting the Word Count Results.mp4 34.5 MB
6. Other Spark Technologies and Libraries/1. Introducing MLLib.mp4 33.8 MB
3. Advanced Examples of Spark Programs/1. [Activity] Find the Most Popular Movie.mp4 32.7 MB

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【影视】 [FreeCourseSite.com] Udemy - Statistics for Data Science and Business Analysis

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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.5 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 65.9 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Data Entry Course for Beginners - with Practical Works!.zip

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[ FreeCourseWeb.com ] Udemy - Data Entry Course for Beginners - with Practical Works!.zip 448.0 MB

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【影视】 Data Structures and Algorithms in C for Beginners

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[TutsNode.com] - Data Structures and Algorithms in C for Beginners/3. Array/3. Storing and retrieving in an array.mp4 169.6 MB
[TutsNode.com] - Data Structures and Algorithms in C for Beginners/4. Stacks/15. Coding the algorithm for Infix to Postfix.mp4 165.4 MB
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收录时间:2021-03-17 文档个数:70 文档大小:185.4 MB 最近下载:2025-05-14 人气:1854 磁力链接

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19 - Creating a partitioned table.mp4 11.6 MB
17 - Indexing data set 1 Time index only.mp4 11.3 MB
18 - Indexing data set 1 Time and location index.mp4 9.0 MB
29 - Previous day comparison.mp4 9.0 MB
23 - Lead.mp4 8.5 MB
22 - Indexing data set 2 Time and type Indexing.mp4 8.2 MB
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32 - Forecasting with linear regression.mp4 7.6 MB
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27 - Common Table Expressions and recursion.mp4 5.7 MB
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4 - 3. IndexedDB/14 - Add new items to IndexedDB.mp4 20.3 MB
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