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[UdemyCourseDownloader] Machine Learning A-Z™ Hands-On Python & R In Data Science
TORRENT SUMMARY
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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
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FILE LIST
Filename
Size
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
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