No cover art

[UdemyCourseDownloader] Machine Learning A-Z™ Hands-On Python & R In Data Science

Other
Size
6.8 GB
Seeders
0
Leechers
1
Files
98
Category
Other
Added
11/19/18 at 12:24pm GMT+1
Infohash
2bc1b318098cf07a4735c1267e9a6daab90860fe

Description
Description

Interested in the field of Machine Learning? Then this course is for you!



This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.



We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.



This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:



Part 1 - Data Preprocessing

Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression

Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification

Part 4 - Clustering: K-Means, Hierarchical Clustering

Part 5 - Association Rule Learning: Apriori, Eclat

Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling

Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP

Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks

Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA

Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

File list
  • [UdemyCourseDownloader] Machine Learning A-Z™ Hands-On Python & R In Data Science
  • 01 Welcome to the course/001 Applications of Machine Learning-en.srt 5.3 KB
  • 01 Welcome to the course/001 Applications of Machine Learning-es.srt 5.6 KB
  • 01 Welcome to the course/001 Applications of Machine Learning-it.srt 5.7 KB
  • 01 Welcome to the course/001 Applications of Machine Learning-ja.srt 6.6 KB
  • 01 Welcome to the course/001 Applications of Machine Learning-pt.srt 5.7 KB
  • 01 Welcome to the course/001 Applications of Machine Learning-tr.srt 5.5 KB
  • 01 Welcome to the course/001 Applications of Machine Learning.mp4 9.8 MB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-en.srt 9.2 KB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-es.srt 9.7 KB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-it.srt 9.6 KB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-ja.srt 10.7 KB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-pt.srt 9.7 KB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-tr.srt 9.2 KB
  • 01 Welcome to the course/002 Why Machine Learning is the Future.mp4 14.5 MB
  • 01 Welcome to the course/003 Important notes tips tricks for this course.html 4.2 KB
  • 01 Welcome to the course/004 Machine-Learning-A-Z-Q-A.pdf 2.3 MB
  • 01 Welcome to the course/004 This PDF resource will help you a lot.html 2.3 KB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-en.srt 11.8 KB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-es.srt 12.2 KB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-it.srt 12 KB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-ja.srt 15 KB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-pt.srt 12.3 KB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-tr.srt 12.1 KB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows).mp4 24 MB
  • 01 Welcome to the course/006 Update Recommended Anaconda Version.html 2.2 KB
  • 01 Welcome to the course/007 Installing R and R Studio (Mac Linux Windows)-en.srt 8.8 KB
  • 01 Welcome to the course/007 Installing R and R Studio (Mac Linux Windows)-es.srt 9.2 KB
  • 01 Welcome to the course/007 Installing R and R Studio (Mac Linux Windows)-it.srt 9.1 KB
  • 01 Welcome to the course/007 Installing R and R Studio (Mac Linux Windows)-ja.srt 11.4 KB
  • 01 Welcome to the course/007 Installing R and R Studio (Mac Linux Windows)-pt.srt 9.3 KB
  • 01 Welcome to the course/007 Installing R and R Studio (Mac Linux Windows)-tr.srt 9 KB
  • 01 Welcome to the course/007 Installing R and R Studio (Mac Linux Windows).mp4 23.2 MB
  • 01 Welcome to the course/008 BONUS Meet your instructors.html 1.9 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/009 Welcome to Part 1 - Data Preprocessing-en.srt 2.4 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/009 Welcome to Part 1 - Data Preprocessing-es.srt 2.6 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/009 Welcome to Part 1 - Data Preprocessing-it.srt 2.6 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/009 Welcome to Part 1 - Data Preprocessing-ja.srt 2.9 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/009 Welcome to Part 1 - Data Preprocessing-pt.srt 2.6 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/009 Welcome to Part 1 - Data Preprocessing-tr.srt 2.5 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/009 Welcome to Part 1 - Data Preprocessing.mp4 3.5 MB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/010 Get the dataset-en.srt 10.7 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/010 Get the dataset-es.srt 11.3 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/010 Get the dataset-it.srt 10.9 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/010 Get the dataset-ja.srt 13.1 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/010 Get the dataset-pt.srt 11.2 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/010 Get the dataset-tr.srt 10.7 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/010 Get the dataset.mp4 21.1 MB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/011 Importing the Libraries-en.srt 8.1 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/011 Importing the Libraries-es.srt 8.7 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/011 Importing the Libraries-it.srt 8.4 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/011 Importing the Libraries-ja.srt 10.5 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/011 Importing the Libraries-pt.srt 8.7 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/011 Importing the Libraries-tr.srt 8.6 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/011 Importing the Libraries.mp4 13.6 MB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/012 Importing the Dataset-en.srt 17.9 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/012 Importing the Dataset-es.srt 19.2 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/012 Importing the Dataset-it.srt 18.5 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/012 Importing the Dataset-ja.srt 22 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/012 Importing the Dataset-pt.srt 19 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/012 Importing the Dataset-tr.srt 18.2 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/012 Importing the Dataset.mp4 28.6 MB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/013 For Python learners summary of Object-oriented programming classes objects.html 2.3 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/014 Missing Data-en.srt 22.7 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/014 Missing Data-es.srt 24 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/014 Missing Data-it.srt 23.4 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/014 Missing Data-ja.srt 27.4 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/014 Missing Data-pt.srt 23.8 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/014 Missing Data-tr.srt 23.1 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/014 Missing Data.mp4 32.2 MB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/015 Categorical Data-en.srt 25.9 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/015 Categorical Data-es.srt 27.2 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/015 Categorical Data-it.srt 26.7 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/015 Categorical Data-ja.srt 30.6 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/015 Categorical Data-pt.srt 27 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/015 Categorical Data-tr.srt 26.2 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/015 Categorical Data.mp4 52.9 MB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/016 WARNING - Update.html 1.6 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/017 Splitting the Dataset into the Training set and Test set-en.srt 25.9 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/017 Splitting the Dataset into the Training set and Test set-es.srt 28.3 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/017 Splitting the Dataset into the Training set and Test set-it.srt 27 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/017 Splitting the Dataset into the Training set and Test set-ja.srt 31.7 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/017 Splitting the Dataset into the Training set and Test set-pt.srt 28 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/017 Splitting the Dataset into the Training set and Test set-tr.srt 26.6 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/017 Splitting the Dataset into the Training set and Test set.mp4 50.9 MB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/018 Feature Scaling-en.srt 22.5 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/018 Feature Scaling-es.srt 23.8 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/018 Feature Scaling-it.srt 23.2 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/018 Feature Scaling-ja.srt 26.8 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/018 Feature Scaling-pt.srt 23.8 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/018 Feature Scaling-tr.srt 23.1 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/018 Feature Scaling.mp4 44.6 MB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/019 And here is our Data Preprocessing Template-en.srt 13.6 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/019 And here is our Data Preprocessing Template-es.srt 14.6 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/019 And here is our Data Preprocessing Template-it.srt 14 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/019 And here is our Data Preprocessing Template-ja.srt 16.8 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/019 And here is our Data Preprocessing Template-pt.srt 14.4 KB
  • 02 -------------------- Part 1 Data Preprocessing --------------------/019 And here is our Data Preprocessing Template-tr.srt 14 KB
  • 12 Logistic Regression/096 Logistic Regression in R - Step 5.mp4 93.8 MB

Rating
Not rated yet
Log in to rate

Comments

No comments yet.


Similar torrents
NameSizeDate
15 MB07/19/2646713116
9 MB07/15/2645443030
14 MB07/15/2645042998
15 MB07/16/2644993004
14 MB07/19/2644922995
9 MB08/05/2638062539
70 MB08/05/2636692449
15 MB08/10/2636552430
70 MB08/10/2635262347
60 MB05/14/2331052067
60 MB05/14/2329861983
31 MB06/07/2329661982
36 MB05/14/2329341951
21 MB05/14/2329091927
132 MB08/11/2322621508