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[Tutorialsplanet NET] Udemy - Complete Data Science Training with Python for Data Analysis

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
13F2A54C3007F7D6E34CE9E3CBB37BEB7E3E747F
Source
Unverified
Total Size
2.21 GB
Total Files
100
Seeders
0
Leechers
2
Health
Score
2
Type
Bookware

File List

FileSize
1. Introduction to the Data Science in Python Bootcamp/1. What is Data Science.mp48.35 MB
1. Introduction to the Data Science in Python Bootcamp/1. What is Data Science.vtt3.97 KB
1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course & Instructor.mp429.62 MB
1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course & Instructor.vtt13.5 KB
1. Introduction to the Data Science in Python Bootcamp/3. Data For the Course.html98 B
1. Introduction to the Data Science in Python Bootcamp/3.1 scriptsLecture.zip.zip308.04 MB
1. Introduction to the Data Science in Python Bootcamp/4. Introduction to the Python Data Science Tool.mp425.02 MB
1. Introduction to the Data Science in Python Bootcamp/4. Introduction to the Python Data Science Tool.vtt10.12 KB
1. Introduction to the Data Science in Python Bootcamp/5. For Mac Users.mp410.22 MB
1. Introduction to the Data Science in Python Bootcamp/5. For Mac Users.vtt3.88 KB
1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.mp440.32 MB
1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.vtt17.22 KB
1. Introduction to the Data Science in Python Bootcamp/7. Some Miscellaneous IPython Usage Facts.mp412.01 MB
1. Introduction to the Data Science in Python Bootcamp/7. Some Miscellaneous IPython Usage Facts.vtt4.54 KB
1. Introduction to the Data Science in Python Bootcamp/8. Online iPython Interpreter.mp47.73 MB
1. Introduction to the Data Science in Python Bootcamp/8. Online iPython Interpreter.vtt3.43 KB
1. Introduction to the Data Science in Python Bootcamp/9. Conclusion to Section 1.mp46.48 MB
1. Introduction to the Data Science in Python Bootcamp/9. Conclusion to Section 1.vtt3.06 KB
10. Unsupervised Learning in Python/1. Unsupervised Classification- Some Basic Ideas.mp46.17 MB
10. Unsupervised Learning in Python/1. Unsupervised Classification- Some Basic Ideas.vtt1.81 KB
10. Unsupervised Learning in Python/10. Principal Component Analysis (PCA)-Practical Implementation.mp49.06 MB
10. Unsupervised Learning in Python/10. Principal Component Analysis (PCA)-Practical Implementation.vtt4.15 KB
10. Unsupervised Learning in Python/11. Conclusions to Section 10.mp45.49 MB
10. Unsupervised Learning in Python/11. Conclusions to Section 10.vtt2.48 KB
10. Unsupervised Learning in Python/2. KMeans-theory.mp45.15 MB
10. Unsupervised Learning in Python/2. KMeans-theory.vtt2.5 KB
10. Unsupervised Learning in Python/3. KMeans-implementation on the iris data.mp419.54 MB
10. Unsupervised Learning in Python/3. KMeans-implementation on the iris data.vtt7.61 KB
10. Unsupervised Learning in Python/4. Quantifying KMeans Clustering Performance.mp49.57 MB
10. Unsupervised Learning in Python/4. Quantifying KMeans Clustering Performance.vtt4.41 KB
10. Unsupervised Learning in Python/5. KMeans Clustering with Real Data.mp412.08 MB
10. Unsupervised Learning in Python/5. KMeans Clustering with Real Data.vtt4.49 KB
10. Unsupervised Learning in Python/6. How Do We Select the Number of Clusters.mp419.04 MB
10. Unsupervised Learning in Python/6. How Do We Select the Number of Clusters.vtt4.21 KB
10. Unsupervised Learning in Python/7. Hierarchical Clustering-theory.mp410.23 MB
10. Unsupervised Learning in Python/7. Hierarchical Clustering-theory.vtt5 KB
10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.mp429.39 MB
10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.vtt9.53 KB
10. Unsupervised Learning in Python/9. Principal Component Analysis (PCA)-Theory.mp45.91 MB
10. Unsupervised Learning in Python/9. Principal Component Analysis (PCA)-Theory.vtt2.96 KB
11. Supervised Learning/1. What is This Section About.mp424.88 MB
11. Supervised Learning/1. What is This Section About.vtt11.5 KB
11. Supervised Learning/10. knn-Classification.mp418.2 MB
11. Supervised Learning/10. knn-Classification.vtt8 KB
11. Supervised Learning/11. knn-Regression.mp48.38 MB
11. Supervised Learning/11. knn-Regression.vtt3.95 KB
11. Supervised Learning/12. Gradient Boosting-classification.mp415.04 MB
11. Supervised Learning/12. Gradient Boosting-classification.vtt6.04 KB
11. Supervised Learning/13. Gradient Boosting-regression.mp410.9 MB
11. Supervised Learning/13. Gradient Boosting-regression.vtt3.67 KB
11. Supervised Learning/14. Voting Classifier.mp49.53 MB
11. Supervised Learning/14. Voting Classifier.vtt3.76 KB
11. Supervised Learning/15. Conclusions to Section 11.mp47.23 MB
11. Supervised Learning/15. Conclusions to Section 11.vtt2.94 KB
11. Supervised Learning/16. Section 11 Quiz.html163 B
11. Supervised Learning/2. Data Preparation for Supervised Learning.mp428.28 MB
11. Supervised Learning/2. Data Preparation for Supervised Learning.vtt10.08 KB
11. Supervised Learning/3. Pointers on Evaluating the Accuracy of Classification and Regression Modelling.mp424 MB
11. Supervised Learning/3. Pointers on Evaluating the Accuracy of Classification and Regression Modelling.vtt10.46 KB
11. Supervised Learning/4. Using Logistic Regression as a Classification Model.mp420.64 MB
11. Supervised Learning/4. Using Logistic Regression as a Classification Model.vtt8.73 KB
11. Supervised Learning/5. RF-Classification.mp428.48 MB
11. Supervised Learning/5. RF-Classification.vtt12.19 KB
11. Supervised Learning/6. RF-Regression.mp423.63 MB
11. Supervised Learning/6. RF-Regression.vtt9.73 KB
11. Supervised Learning/7. SVM- Linear Classification.mp47.39 MB
11. Supervised Learning/7. SVM- Linear Classification.vtt3.22 KB
11. Supervised Learning/8. SVM- Non Linear Classification.mp45.12 MB
11. Supervised Learning/8. SVM- Non Linear Classification.vtt2.31 KB
11. Supervised Learning/9. Support Vector Regression.mp410.19 MB
11. Supervised Learning/9. Support Vector Regression.vtt4.33 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/1. Theory Behind ANN and DNN.mp422.56 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/1. Theory Behind ANN and DNN.vtt9.91 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/10. Specify the Activation Function.mp46.21 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/10. Specify the Activation Function.vtt2.18 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/11. H2O Deep Learning For Predictions.mp412 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/11. H2O Deep Learning For Predictions.vtt5.19 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/12. Conclusions to Section 12.mp45.16 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/12. Conclusions to Section 12.vtt2.12 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/13. Section 12 Quiz.html163 B
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/2. Perceptrons for Binary Classification.mp410.05 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/2. Perceptrons for Binary Classification.vtt4.68 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/3. Getting Started with ANN-binary classification.mp48.46 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/3. Getting Started with ANN-binary classification.vtt3.48 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/4. Multi-label classification with MLP.mp413.49 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/4. Multi-label classification with MLP.vtt4.77 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/5. Regression with MLP.mp49.02 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/5. Regression with MLP.vtt3.49 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/6. MLP with PCA on a Large Dataset.mp419.25 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/6. MLP with PCA on a Large Dataset.vtt7.65 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/7. Start With Deep Neural Network (DNN).html229 B
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/8. Start with H20.mp412.12 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/8. Start with H20.vtt4.31 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/9. Default H2O Deep Learning Algorithm.mp48.23 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/9. Default H2O Deep Learning Algorithm.vtt3.36 KB
13. Miscellaneous Lectures & Information/1. Data For This Section.html137 B
13. Miscellaneous Lectures & Information/2. Read in Data from Online CSV.mp46.66 MB
13. Miscellaneous Lectures & Information/2. Read in Data from Online CSV.vtt3.87 KB
13. Miscellaneous Lectures & Information/3. Read Data from a Database.mp412.26 MB
13. Miscellaneous Lectures & Information/3. Read Data from a Database.vtt7.79 KB

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