Udemy - Python For Data Science And Machine Learning Bootcamp [TP...

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  • Type Tutorials
  • Language English
  • Total size 3.8 GB
  • Uploaded By tutplanet
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  • Last checked 27 minutes ago
  • Date uploaded 9 hours ago
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Infohash : 9C047B7E7A7FAB1B3DA9BEB5EA793F689253931B

Udemy - Python For Data Science And Machine Learning Bootcamp [TP]



Are you ready to start your path to becoming a Data Scientist!

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!

We’ll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:

Programming with Python
NumPy with Python
Using pandas Data Frames to solve complex tasks
Use pandas to handle Excel Files
Web scraping with python
Connect Python to SQL
Use matplotlib and seaborn for data visualizations
Use plotly for interactive visualizations
Machine Learning with SciKit Learn, including:
Linear Regression
K Nearest Neighbors
K Means Clustering
Decision Trees
Random Forests
Natural Language Processing
Neural Nets and Deep Learning
Support Vector Machines
and much, much more!

Files:

[Tutorialsplanet.NET] Udemy - Python for Data Science and Machine Learning Bootcamp 1. Course Introduction
  • 1. Introduction to the Course.mp4 (29.0 MB)
  • 1. Introduction to the Course.vtt (5.3 KB)
  • 2. Course Help and Welcome.mp4 (8.3 MB)
  • 2. Course Help and Welcome.vtt (1.0 KB)
  • 3. Course FAQs.html (5.3 KB)
  • 3.1 Py_DS_ML_Bootcamp-master.zip.zip (52.5 MB)
10. Python for Data Visualization - Pandas Built-in Data Visualization
  • 1. Pandas Built-in Data Visualization.mp4 (31.4 MB)
  • 1. Pandas Built-in Data Visualization.vtt (18.6 KB)
  • 2. Pandas Data Visualization Exercise.mp4 (5.2 MB)
  • 2. Pandas Data Visualization Exercise.vtt (2.0 KB)
  • 3. Pandas Data Visualization Exercise- Solutions.mp4 (28.6 MB)
  • 3. Pandas Data Visualization Exercise- Solutions.vtt (11.9 KB)
11. Python for Data Visualization - Plotly and Cufflinks
  • 1. Introduction to Plotly and Cufflinks.mp4 (12.5 MB)
  • 1. Introduction to Plotly and Cufflinks.vtt (4.9 KB)
  • 2. Plotly and Cufflinks.mp4 (51.2 MB)
  • 2. Plotly and Cufflinks.vtt (24.7 KB)
12. Python for Data Visualization - Geographical Plotting
  • 1. Introduction to Geographical Plotting.mp4 (1.9 MB)
  • 1. Introduction to Geographical Plotting.vtt (1.3 KB)
  • 2. Choropleth Maps - Part 1 - USA.mp4 (46.2 MB)
  • 2. Choropleth Maps - Part 1 - USA.vtt (23.5 KB)
  • 3. Choropleth Maps - Part 2 - World.mp4 (19.2 MB)
  • 3. Choropleth Maps - Part 2 - World.vtt (8.0 KB)
  • 4. Choropleth Exercises.mp4 (11.2 MB)
  • 4. Choropleth Exercises.vtt (5.2 KB)
  • 5. Choropleth Exercises - Solutions.mp4 (27.6 MB)
  • 5. Choropleth Exercises - Solutions.vtt (12.4 KB)
13. Data Capstone Project
  • 1. Welcome to the Data Capstone Projects!.mp4 (4.0 MB)
  • 1. Welcome to the Data Capstone Projects!.vtt (0.5 KB)
  • 2. 911 Calls Project Overview.mp4 (8.6 MB)
  • 2. 911 Calls Project Overview.vtt (3.3 KB)
  • 3. 911 Calls Solutions - Part 1.mp4 (39.8 MB)
  • 3. 911 Calls Solutions - Part 1.vtt (18.6 KB)
  • 4. 911 Calls Solutions - Part 2.mp4 (49.8 MB)
  • 4. 911 Calls Solutions - Part 2.vtt (23.6 KB)
  • 5. Bank Data.html (0.4 KB)
  • 5.1 Download all_banks pickle file from this link.html (0.1 KB)
  • 6. Finance Data Project Overview.mp4 (12.2 MB)
  • 6. Finance Data Project Overview.vtt (4.9 KB)
  • 7. Finance Project - Solutions Part 1.mp4 (47.3 MB)
  • 7. Finance Project - Solutions Part 1.vtt (21.7 KB)
  • 8. Finance Project - Solutions Part 2.mp4 (45.7 MB)
  • 8. Finance Project - Solutions Part 2.vtt (22.7 KB)
  • 9. Finance Project - Solutions Part 3.mp4 (16.6 MB)
  • 9. Finance Project - Solutions Part 3.vtt (8.0 KB)
14. Introduction to Machine Learning
  • 1. Welcome to the Machine Learning Section!.mp4 (7.2 MB)
  • 1. Welcome to the Machine Learning Section!.vtt (0.9 KB)
  • 2. Link for ISLR.html (0.4 KB)
  • 2.1 Python DS Presentations.zip.zip (2.8 MB)
  • 2.2 ISLR 6th Edition PDF (Machine Learning Textbook).html (0.1 KB)
  • 3. Introduction to Machine Learning.mp4 (28.9 MB)
  • 3. Introduction to Machine Learning.vtt (15.4 KB)
  • 3.1 Link for ISLR.html (0.1 KB)
  • 4. Machine Learning with Python.mp4 (16.8 MB)
  • 4. Machine Learning with Python.vtt (12.7 KB)
15. Linear Regression
  • 1. Linear Regression Theory.mp4 (8.6 MB)
  • 1. Linear Regression Theory.vtt (6.0 KB)
  • 2. model_selection Updates for SciKit Learn 0.18.html (0.8 KB)
  • 3. Linear Regression with Python - Part 1.mp4 (43.3 MB)
  • 3. Linear Regression with Python - Part 1.vtt (23.3 KB)
  • 4. Linear Regression with Python - Part 2.mp4 (16.1 MB)
  • 4. Linear Regression with Python - Part 2.vtt (9.1 KB)
  • 5. Linear Regression Project Overview.mp4 (10.8 MB)
  • 5. Linear Regression Project Overview.vtt (3.6 KB)
  • 6. Linear Regression Project Solution.mp4 (45.4 MB)
  • 6. Linear Regression Project Solution.vtt (23.4 KB)
16. Cross Validation and Bias-Variance Trade-Off
  • 1. Bias Variance Trade-Off.mp4 (11.6 MB)
  • 1. Bias Variance Trade-Off.vtt (8.8 KB)
17. Logistic Regression
  • 1. Logistic Regression Theory.mp4 (21.0 MB)
  • 1. Logistic Regression Theory.vtt (15.4 KB)
  • 2. Logistic Regression with Python - Part 1.mp4 (41.4 MB)
  • 2. Logistic Regression with Python - Part 1.vtt (23.4 KB)
  • 3. Logistic Regression with Python - Part 2.mp4 (34.2 MB)
  • 3. Logistic Regression with Python - Part 2.vtt (21.3 KB)
  • 4. Logistic Regression with Python - Part 3.mp4 (16.9 MB)
  • 4. Logistic Regression with Python - Part 3.vtt (10.5 KB)
  • 5. Logistic Regression Project Overview.mp4 (5.3 MB)
  • 5. Logistic Regression Project Overview.vtt (2.4 KB)
  • 6. Logistic Regression Project Solutions.mp4 (30.2 MB)
  • 6. Logistic Regression Project Solutions.vtt (13.2 KB)
18. K Nearest Neighbors
  • 1. KNN Theory.mp4 (9.9 MB)
  • 1. KNN Theory.vtt (7.2 KB)
  • 2. KNN with Python.mp4 (46.0 MB)
  • 2. KNN with Python.vtt (23.9 KB)
  • 3. KNN Project Overview.mp4 (5.0 MB)
  • 3. KNN Project Overview.vtt (2.0 KB)
  • 4. KNN Project Solutions.mp4 (52.7 MB)
  • 4. KNN Project Solutions.vtt (17.2 KB)
19. Decision Trees and Random Forests
  • 1. Introduction to Tree Methods.mp4 (12.1 MB)
  • 1. Introduction to Tree Methods.vtt (8.9 KB)
  • 2. Decision Trees and Random Forest with Python.mp4 (40.1 MB)
  • 2. Decision Trees and Random Forest with Python.vtt (18.0 KB)
  • 3. Decision Trees and Random Forest Project Overview.mp4 (12.0 MB)
  • 3. Decision Trees and Random Forest Project Overview.vtt (4.5 KB)
  • 4. Decision Trees and Random Forest Solutions Part 1.mp4 (30.9 MB)
  • 4. Decision Trees and Random Forest Solutions Part 1.vtt (15.3 KB)
  • 5. Decision Trees and Random Forest Solutions Part 2.mp4 (26.6 MB)
  • 5. Decision Trees and Random Forest Solutions Part 2.vtt (10.9 KB)
2. Environment Set-Up
  • 1. Python Environment Setup.mp4 (76.3 MB)
  • 1. Python Environment Setup.vtt (17.7 KB)
  • 1.1 Py-DS-ML-Bootcamp-master.zip.zip (52.5 MB)
20. Support Vector Machines
  • 1. SVM Theory.mp4 (8.7 MB)
  • 1. SVM Theory.vtt (5.9 KB)
  • 2. Support Vector Machines with Python.mp4 (47.4 MB)
  • 2. Support Vector Machines with Python.vtt (22.2 KB)
  • 3. SVM Project Overview.mp4 (8.6 MB)
  • 3. SVM Project Overview.vtt (3.4 KB)
  • 4. SVM Project Solutions.mp4 (28.1 MB)
  • 4. SVM Project Solutions.vtt (11.8 KB)
21. K Means Clustering
  • 1. K Means Algorithm Theory.mp4 (9.6 MB)
  • 1. K Means Algorithm Theory.vtt (6.8 KB)
  • 2. K Means with Python.mp4 (29.9 MB)
  • 2. K Means with Python.vtt (15.5 KB)
  • 3. K Means Project Overview.mp4 (9.2 MB)
  • 3. K Means Project Overview.vtt (4.3 KB)
  • 4. K Means Project Solutions.mp4 (47.1 MB)
  • 4. K Means Project Solutions.vtt (20.3 KB)
22. Principal Component Analysis
  • 1. Principal Component Analysis.mp4 (6.2 MB)
  • 1. Principal Component Analysis.vtt (4.4 KB)
  • 2. PCA with Python.mp4 (43.2 MB)
  • 2. PCA with Python.vtt (21.1 KB)
23. Recommender Systems
  • 1. Recommender Systems.mp4 (7.9 MB)
  • 1. Recommender Systems.vtt (6.1 KB)
  • 2. Recommender Systems with Python - Part 1.mp4 (35.5 MB)
  • 2. Recommender Systems with Python - Part 1.vtt (17.4 KB)
  • 3. Recommender Systems with Python - Part 2.mp4 (34.4 MB)
  • 3. Recommender Systems with Python - Part 2.vtt (15.3 KB)
24. Natural Language Processing
  • 1. Natural Language Processing Theory.mp4 (8.9 MB)
  • 1. Natural Language Processing Theory.vtt (6.3 KB)
  • 2. NLP with Python - Part 1.mp4 (40.2 MB)
  • 2. NLP with Python - Part 1.vtt (19.8 KB)
  • 3. NLP with Python - Part 2.mp4 (41.9 MB)
  • 3. NLP with Python - Part 2.vtt (22.6 KB)
  • 4. NLP with Python - Part 3.mp4 (37.7 MB)
  • 4. NLP with Python - Part 3.vtt (21.5 KB)
  • 5. NLP Project Overview.mp4 (6.7 MB)
  • 5. NLP Project Overview.vtt (3.2 KB)
  • 6. NLP Project Solutions.mp4 (48.1 MB)
  • 6. NLP Project Solutions.vtt (24.0 KB)
25. Big Data and Spark with Python
  • 1. Welcome to the Big Data Section!.mp4 (5.2 MB)
  • 1. Welcome to the Big Data Section!.vtt (0.7 KB)
  • 10. Lambda Expressions Review.mp4 (9.3 MB)
  • 10. Lambda Expressions Review.vtt (7.0 KB)
  • 11. Introduction to Spark and Python.mp4 (15.7 MB)
  • 11. Introduction to Spark and Python.vtt (11.0 KB)
  • 12. RDD Transformations and Actions.mp4 (55.7 MB)
  • 12. RDD Transformations and Actions.vtt (28.9 KB)
  • 2. Big Data Overview.mp4 (10.0 MB)
  • 2. Big Data Overview.vtt (7.1 KB)
  • 3. Spark Overview.mp4 (15.7 MB)
  • 3. Spark Overview.vtt (12.3 KB)
  • 4. Local Spark Set-Up.html (1.6 KB)
  • 5. AWS Account Set-Up.mp4 (10.9 MB)
  • 5. AWS Account Set-Up.vtt (6.1 KB)
  • 5.1 Amazon Guide to Creating an AWS Account.html (0.1 KB)
  • 6. Quick Note on AWS Security.html (0.4 KB)
  • 7. EC2 Instance Set-Up.mp4 (63.0 MB)
  • 7. EC2 Instance Set-Up.vtt (22.9 KB)
  • 7.1 Amazon Guide to Using PuTTY for Windows SSH.html (0.1 KB)
  • 8. SSH with Mac or Linux.mp4 (9.2 MB)
  • 8. SSH with Mac or Linux.vtt (7.1 KB)
  • 8.1 Amazon Guide to SSH with Mac.html (0.1 KB)
  • 9. PySpark Setup.mp4 (60.4 MB)
  • 9. PySpark Setup.vtt (32.2 KB)
  • 9.1 Step by Step Guide for PySpark Set-up.html (0.2 KB)
26. Neural Nets and Deep Learning
  • 1. Welcome to the Deep Learning Section!.mp4 (4.9 MB)
  • 1. Welcome to the Deep Learning Section!.vtt (0.6 KB)
  • 10. Deep Learning Project - Solutions.mp4 (94.6 MB)
  • 10. Deep Learning Project - Solutions.vtt (13.2 KB)
  • 2. Neural Network Theory.mp4 (12.5 MB)
  • 2. Neural Network Theory.vtt (9.0 KB)
  • 3. What is TensorFlow.mp4 (25.1 MB)
  • 3. What is TensorFlow.vtt (7.9 KB)
  • 4. Installing Tensorflow 1.10.mp4 (7.3 MB)
  • 4. Installing Tensorflow 1.10.vtt (2.6 KB)
  • 5. TensorFlow Basics.mp4 (31.0 MB)
  • 5. TensorFlow Basics.vtt (19.1 KB)
  • 6. MNIST - Part One.mp4 (58.4 MB)
  • 6. MNIST - Part One.vtt (12.8 KB)
  • 7. MNIST - Part Two.mp4 (94.1 MB)
  • 7. MNIST - Part Two.vtt (19.5 KB)
  • 8. Tensorflow Estimators.mp4 (156.6 MB)
  • 8. Tensorflow Estimators.vtt (26.7 KB)
  • 9. Deep Learning Project.mp4 (28.2 MB)
  • 9. Deep Learning Project.vtt (4.4 KB)
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)
  • 1. TensorFlow Installation.mp4 (69.3 MB)
  • 1. TensorFlow Installation.vtt (34.3 KB)
  • 2. MNIST with Multi-Layer Perceptron - Part 1.mp4 (21.7 MB)
  • 2. MNIST with Multi-Layer Perceptron - Part 1.vtt (15.7 KB)
  • 3. MNIST with Multi-Layer Perceptron - Part 2.mp4 (36.5 MB)
  • 3. MNIST with Multi-Layer Perceptron - Part 2.vtt (20.4 KB)
  • 4. MNIST with Multi-Layer Perceptron - Part 3.mp4 (44.4 MB)
  • 4. MNIST with Multi-Layer Perceptron - Part 3.vtt (23.3 KB)
  • 5. TensorFlow with ContribLearn.mp4 (19.6 MB)
  • 5. TensorFlow with ContribLearn.vtt (11.6 KB)
  • 6. Tensorflow Project Exercise Overview.mp4 (7.3 MB)
  • 6. Tensorflow Project Exercise Overview.vtt (3.5 KB)
  • 7. Tensorflow Project Exercise - Solutions.mp4 (37.5 MB)
  • 7. Tensorflow Project Exercise - Solutions.vtt (18.2 KB)
28. BONUS DISCOUNT COUPONS FOR OTHER COURSES
  • 1. Bonus Lecture Coupons.html (5.8 KB)
3. Jupyter Overview
  • 1. Updates to Notebook Zip.html (0.2 KB)
  • 2. Jupyter Notebooks.mp4 (32.0 MB)
  • 2. Jupyter Notebooks.vtt (20.3 KB)
  • 2.1 Py-DS-ML-Bootcamp-master.zip.zip (52.5 MB)
  • 3. Optional Virtual Environments.mp4 (18.9 MB)
  • 3. Optional Virtual Environments.vtt (13.8 KB)
  • 3.1 Updated Link to Manage Environments with Conda.html (0.1 KB)
4. Python Crash Course
  • 1. Welcome to the Python Crash Course Section!.mp4 (4.0 MB)
  • 1. Welcome to the Python Crash Course Section!.vtt (0.5 KB)
  • 2. Introduction to Python Crash Course.mp4 (2.7 MB)
  • 2. Introduction to Python Crash Course.vtt (2.1 KB)
  • 3. Python Crash Course - Part 1.mp4 (35.8 MB)
  • 3. Python Crash Course - Part 1.vtt (24.3 KB)
  • 4. Python Crash Course - Part 2.mp4 (28.9 MB)
  • 4. Python Crash Course - Part 2.vtt (19.9 KB)
  • 5. Python Crash Course - Part 3.mp4 (31.8 MB)
  • 5. Python Crash Course - Part 3.vtt (20.7 KB)
  • 6. Python Crash Course - Part 4.mp4 (29.3 MB)
  • 6. Python Crash Course - Part 4.vtt (19.0 KB)
  • 7. Python Crash Course Exercises - Overview.mp4 (9.4 MB)
  • 7. Python Crash Course Exercises - Overview.vtt (5.3 KB)
  • 8. Python Crash Course Exercises - Solutions.mp4 (27.2 MB)
  • 8. Python Crash Course Exercises - Solutions.vtt (14.6 KB)
5. Python for Data Analysis - NumPy
  • 1. Welcome to the NumPy Section!.mp4 (2.5 MB)
  • 1. Welcome to the NumPy Section!.vtt (0.3 KB)
  • 2. Introduction to Numpy.mp4 (4.2 MB)
  • 2. Introduction to Numpy.vtt (3.0 KB)
  • 3. Numpy Arrays.mp4 (33.5 MB)
  • 3. Numpy Arrays.vtt (20.5 KB)
  • 4. Quick Note on Array Indexing.html (1.0 KB)
  • 5. Numpy Array Indexing.mp4 (37.3 MB)
  • 5. Numpy Array Indexing.vtt (22.3 KB)
  • 6. Numpy Operations.mp4 (25.5 MB)
  • 6. Numpy Operations.vtt (9.7 KB)
  • 7. Numpy Exercises Overview.mp4 (9.8 MB)
  • 7. Numpy Exercises Overview.vtt (4.3 KB)
  • 8. Numpy Exercises Solutions.mp4 (38.3 MB)
  • 8. Numpy Exercises Solutions.vtt (21.1 KB)
6. Python for Data Analysis - Pandas
  • 1. Welcome to the Pandas Section!.mp4 (3.3 MB)
  • 1. Welcome to the Pandas Section!.vtt (0.4 KB)
  • 10. Operations.mp4 (24.1 MB)
  • 10. Operations.vtt (15.8 KB)
  • 11. Data Input and Output.mp4 (36.6 MB)
  • 11. Data Input and Output.vtt (18.7 KB)
  • 2. Introduction to Pandas.mp4 (3.2 MB)
  • 2. Introduction to Pandas.vtt (2.3 KB)
  • 3. Series.mp4 (20.3 MB)
  • 3. Series.vtt (13.9 KB)
  • 4. DataFrames - Part 1.mp4 (39.8 MB)
  • 4. DataFrames - Part 1.vtt (19.1 KB)
  • 5. DataFrames - Part 2.mp4 (42.0 MB)
  • 5. DataFrames - Part 2.vtt (22.3 KB)
  • 6. DataFrames - Part 3.mp4 (20.9 MB)
  • 6. DataFrames - Part 3.vtt (11.2 KB)
  • 7. Missing Data.mp4 (12.1 MB)
  • 7. Missing Data.vtt (7.8 KB)
  • 8. Groupby.mp4 (14.8 MB)
  • 8. Groupby.vtt (9.0 KB)
  • 9. Merging Joining and Concatenating.mp4 (26.2 MB)
  • 9. Merging Joining and Concatenating.vtt (12.3 KB)
7. Python for Data Analysis - Pandas Exercises
  • 1. Note on SF Salary Exercise.html (0.5 KB)
  • 2. SF Salaries Exercise Overview.mp4 (6.8 MB)
  • 2. SF Salaries Exercise Overview.vtt (3.0 KB)
  • 3. SF Salaries Solutions.mp4 (42.7 MB)
  • 3. SF Salaries Solutions.vtt (18.4 KB)
  • 4. Ecommerce Purchases Exercise Overview.mp4 (7.4 MB)
  • 4. Ecommerce Purchases Exercise Overview.vtt (3.4 KB)
  • 5. Ecommerce Purchases Exercise Solutions.mp4 (43.1 MB)
  • 5. Ecommerce Purchases Exercise Solutions.vtt (19.0 KB)
8. Python for Data Visualization - Matplotlib
  • 1. Welcome to the Data Visualization Section!.mp4 (5.2 MB)
  • 1. Welcome to the Data Visualization Section!.vtt (0.7 KB)
  • 2. Introduction to Matplotlib.mp4 (12.6 MB)
  • 2. Introduction to Matplotlib.vtt (4.7 KB)
  • 3. Matplotlib Part 1.mp4 (36.2 MB)
  • 3. Matplotlib Part 1.vtt (22.3 KB)
  • 4. Matplotlib Part 2.mp4 (31.6 MB)
  • 4. Matplotlib Part 2.vtt (19.2 KB)
  • 5. Matplotlib Part 3.mp4 (27.3 MB)
  • 5. Matplotlib Part 3.vtt (15.8 KB)
  • 6. Matplotlib Exercises Overview.mp4 (5.9 MB)
  • 6. Matplotlib Exercises Overview.vtt (2.4 KB)
  • 7. Matplotlib Exercises - Solutions.mp4 (27.7 MB)
  • 7. Matplotlib Exercises - Solutions.vtt (11.4 KB)
9. Python for Data Visualization - Seaborn
  • 1. Introduction to Seaborn.mp4 (9.0 MB)
  • 1. Introduction to Seaborn.vtt (4.1 KB)
  • 1.1 Link to Seaborn Documentation (updated).html (0.1 KB)
  • 2. Distribution Plots.mp4 (51.4 MB)
  • 2. Distribution Plots.vtt (25.4 KB)
  • 3. Categorical Plots.mp4 (38.5 MB)
  • 3. Categorical Plots.vtt (23.2 KB)
  • 4. Matrix Plots.mp4 (22.4 MB)
  • 4. Matrix Plots.vtt (13.1 KB)
  • 5. Grids.mp4 (19.9 MB)
  • 5. Grids.vtt (11.4 KB)
  • 6. Regression Plots.mp4 (15.5 MB)
  • 6. Regression Plots.vtt (9.3 KB)
  • 7. Style and Color.mp4 (19.0 MB)
  • 7. Style and Color.vtt (11.0 KB)
  • 8. Seaborn Exercise Overview.mp4 (6.6 MB)
  • 8. Seaborn Exercise Overview.vtt (2.6 KB)
  • 9. Seaborn Exercise Solutions.mp4 (20.1 MB)
  • 9. Seaborn Exercise Solutions.vtt (9.1 KB)
  • [Tutorialsplanet.NET].url (0.1 KB)

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