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Udemy - Python for Data Science and Machine Learning Bootcamp
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331
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5.14 GiB (5517177753 Bytes)
Tag(s):
udemy python machinelearning courses programming
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2020-01-29 16:50:42 GMT
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cybil18
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EE7442FDBED007BC61D0984F072235F6A97E6F3F




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Requirements

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Description

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!

Enroll in the course and become a data scientist today!


Who this course is for:

    This course is meant for people with at least some programming experience

 Get this torrent  PLAY/STREAM TORRENT  ANONYMOUS DOWNLOAD
1. Course Introduction/1. Introduction to the Course.mp429.04 MiB
1. Course Introduction/1. Introduction to the Course.srt5.9 KiB
1. Course Introduction/2. Course Help and Welcome.mp48.26 MiB
1. Course Introduction/2. Course Help and Welcome.srt1.15 KiB
1. Course Introduction/3. Course FAQs.html5.34 KiB
1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip52.5 MiB
10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp431.35 MiB
10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.srt20.81 KiB
10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp45.17 MiB
10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.srt2.27 KiB
10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp428.6 MiB
10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.srt13.3 KiB
11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp412.52 MiB
11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.srt5.47 KiB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp451.15 MiB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.srt27.72 KiB
12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp41.94 MiB
12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.srt1.36 KiB
12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp446.16 MiB
12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.srt26.28 KiB
12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.mp419.19 MiB
12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.srt8.88 KiB
12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.mp411.16 MiB
12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.srt5.74 KiB
12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp427.64 MiB
12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.srt13.89 KiB
13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.mp43.99 MiB
13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.srt614 B
13. Data Capstone Project/2. 911 Calls Project Overview.mp48.57 MiB
13. Data Capstone Project/2. 911 Calls Project Overview.srt3.64 KiB
13. Data Capstone Project/3. 911 Calls Solutions - Part 1.mp439.8 MiB
13. Data Capstone Project/3. 911 Calls Solutions - Part 1.srt20.88 KiB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp449.8 MiB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.srt37.59 MiB
13. Data Capstone Project/5. Bank Data.html363 B
13. Data Capstone Project/5.1 Download all_banks pickle file from this link.html117 B
13. Data Capstone Project/6. Finance Data Project Overview.mp412.21 MiB
13. Data Capstone Project/6. Finance Data Project Overview.srt5.41 KiB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp447.26 MiB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.srt24.32 KiB
13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp445.71 MiB
13. Data Capstone Project/8. Finance Project - Solutions Part 2.srt25.24 KiB
13. Data Capstone Project/9. Finance Project - Solutions Part 3.mp416.57 MiB
13. Data Capstone Project/9. Finance Project - Solutions Part 3.srt8.88 KiB
14. Introduction to Machine Learning/1. Welcome to the Machine Learning Section!.mp47.21 MiB
14. Introduction to Machine Learning/1. Welcome to the Machine Learning Section!.srt991 B
14. Introduction to Machine Learning/2. Link for ISLR.html56 B
14. Introduction to Machine Learning/2.1 ISLR 6th Edition PDF (Machine Learning Textbook).html123 B
14. Introduction to Machine Learning/2.2 Python DS Presentations.zip.zip2.79 MiB
14. Introduction to Machine Learning/3. Supervised Learning Overview.mp440.05 MiB
14. Introduction to Machine Learning/3. Supervised Learning Overview.srt13.42 KiB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp482.72 MiB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.srt27.05 KiB
14. Introduction to Machine Learning/5. Evaluating Performance - Regression Error Metrics.mp423.69 MiB
14. Introduction to Machine Learning/5. Evaluating Performance - Regression Error Metrics.srt9.17 KiB
14. Introduction to Machine Learning/6. Machine Learning with Python.mp416.79 MiB
14. Introduction to Machine Learning/6. Machine Learning with Python.srt14.15 KiB
15. Linear Regression/1. Linear Regression Theory.mp48.57 MiB
15. Linear Regression/1. Linear Regression Theory.srt6.65 KiB
15. Linear Regression/2. model_selection Updates for SciKit Learn 0.18.html845 B
15. Linear Regression/3. Linear Regression with Python - Part 1.mp443.32 MiB
15. Linear Regression/3. Linear Regression with Python - Part 1.srt26.06 KiB
15. Linear Regression/4. Linear Regression with Python - Part 2.mp416.06 MiB
15. Linear Regression/4. Linear Regression with Python - Part 2.srt10.08 KiB
15. Linear Regression/5. Linear Regression Project Overview.mp410.8 MiB
15. Linear Regression/5. Linear Regression Project Overview.srt3.97 KiB
15. Linear Regression/6. Linear Regression Project Solution.mp445.39 MiB
15. Linear Regression/6. Linear Regression Project Solution.srt26.08 KiB
16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.mp418.93 MiB
16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.srt9.71 KiB
17. Logistic Regression/1. Logistic Regression Theory.mp421.01 MiB
17. Logistic Regression/1. Logistic Regression Theory.srt17.29 KiB
17. Logistic Regression/2. Logistic Regression with Python - Part 1.mp441.41 MiB
17. Logistic Regression/2. Logistic Regression with Python - Part 1.srt26.22 KiB
17. Logistic Regression/3. Logistic Regression with Python - Part 2.mp434.22 MiB
17. Logistic Regression/3. Logistic Regression with Python - Part 2.srt23.79 KiB
17. Logistic Regression/4. Logistic Regression with Python - Part 3.mp416.95 MiB
17. Logistic Regression/4. Logistic Regression with Python - Part 3.srt11.75 KiB
17. Logistic Regression/5. Logistic Regression Project Overview.mp45.31 MiB
17. Logistic Regression/5. Logistic Regression Project Overview.srt2.58 KiB
17. Logistic Regression/6. Logistic Regression Project Solutions.mp430.21 MiB
17. Logistic Regression/6. Logistic Regression Project Solutions.srt14.72 KiB
18. K Nearest Neighbors/1. KNN Theory.mp49.91 MiB
18. K Nearest Neighbors/1. KNN Theory.srt8.01 KiB
18. K Nearest Neighbors/2. KNN with Python.mp445.96 MiB
18. K Nearest Neighbors/2. KNN with Python.srt26.68 KiB
18. K Nearest Neighbors/3. KNN Project Overview.mp44.99 MiB
18. K Nearest Neighbors/3. KNN Project Overview.srt2.19 KiB
18. K Nearest Neighbors/4. KNN Project Solutions.mp452.66 MiB
18. K Nearest Neighbors/4. KNN Project Solutions.srt19.22 KiB
19. Decision Trees and Random Forests/1. Introduction to Tree Methods.mp412.06 MiB
19. Decision Trees and Random Forests/1. Introduction to Tree Methods.srt9.92 KiB
19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.mp440.1 MiB
19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.srt20.13 KiB
19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.mp411.96 MiB
19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.srt4.98 KiB
19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.mp430.87 MiB
19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.srt17.14 KiB
19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.mp426.56 MiB
19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.srt12.14 KiB
2. Environment Set-Up/1. Python Environment Setup.mp476.35 MiB
2. Environment Set-Up/1. Python Environment Setup.srt19.99 KiB
2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip52.49 MiB
20. Support Vector Machines/1. SVM Theory.mp48.72 MiB
20. Support Vector Machines/1. SVM Theory.srt6.55 KiB
20. Support Vector Machines/2. Support Vector Machines with Python.mp447.45 MiB
20. Support Vector Machines/2. Support Vector Machines with Python.srt24.79 KiB
20. Support Vector Machines/3. SVM Project Overview.mp48.59 MiB
20. Support Vector Machines/3. SVM Project Overview.srt3.77 KiB
20. Support Vector Machines/4. SVM Project Solutions.mp428.14 MiB
20. Support Vector Machines/4. SVM Project Solutions.srt13.21 KiB
21. K Means Clustering/1. K Means Algorithm Theory.mp49.61 MiB
21. K Means Clustering/1. K Means Algorithm Theory.srt7.55 KiB
21. K Means Clustering/2. K Means with Python.mp429.95 MiB
21. K Means Clustering/2. K Means with Python.srt17.37 KiB
21. K Means Clustering/3. K Means Project Overview.mp49.2 MiB
21. K Means Clustering/3. K Means Project Overview.srt4.79 KiB
21. K Means Clustering/4. K Means Project Solutions.mp447.12 MiB
21. K Means Clustering/4. K Means Project Solutions.srt22.68 KiB
22. Principal Component Analysis/1. Principal Component Analysis.mp46.21 MiB
22. Principal Component Analysis/1. Principal Component Analysis.srt4.88 KiB
22. Principal Component Analysis/2. PCA with Python.mp443.24 MiB
22. Principal Component Analysis/2. PCA with Python.srt23.53 KiB
23. Recommender Systems/1. Recommender Systems.mp47.87 MiB
23. Recommender Systems/1. Recommender Systems.srt6.73 KiB
23. Recommender Systems/2. Recommender Systems with Python - Part 1.mp435.53 MiB
23. Recommender Systems/2. Recommender Systems with Python - Part 1.srt19.44 KiB
23. Recommender Systems/3. Recommender Systems with Python - Part 2.mp434.44 MiB
23. Recommender Systems/3. Recommender Systems with Python - Part 2.srt17.06 KiB
24. Natural Language Processing/1. Natural Language Processing Theory.mp48.86 MiB
24. Natural Language Processing/1. Natural Language Processing Theory.srt6.99 KiB
24. Natural Language Processing/2. NLP with Python - Part 1.mp440.16 MiB
24. Natural Language Processing/2. NLP with Python - Part 1.srt22.05 KiB
24. Natural Language Processing/3. NLP with Python - Part 2.mp441.92 MiB
24. Natural Language Processing/3. NLP with Python - Part 2.srt25.26 KiB
24. Natural Language Processing/4. NLP with Python - Part 3.mp437.66 MiB
24. Natural Language Processing/4. NLP with Python - Part 3.srt23.92 KiB
24. Natural Language Processing/5. NLP Project Overview.mp46.68 MiB
24. Natural Language Processing/5. NLP Project Overview.srt3.58 KiB
24. Natural Language Processing/6. NLP Project Solutions.mp448.05 MiB
24. Natural Language Processing/6. NLP Project Solutions.srt26.98 KiB
25. Neural Nets and Deep Learning/1. Download TensorFlow Notebooks Here.html315 B
25. Neural Nets and Deep Learning/1.1 TensorFlow_FILES.zip.zip33.05 MiB
25. Neural Nets and Deep Learning/10. Backpropagation.mp457.95 MiB
25. Neural Nets and Deep Learning/10. Backpropagation.srt21.45 KiB
25. Neural Nets and Deep Learning/11. TensorFlow vs Keras.mp410.45 MiB
25. Neural Nets and Deep Learning/11. TensorFlow vs Keras.srt3.27 KiB
25. Neural Nets and Deep Learning/12. TF Syntax Basics - Part One - Preparing the Data.mp450.34 MiB
25. Neural Nets and Deep Learning/12. TF Syntax Basics - Part One - Preparing the Data.srt16.33 KiB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp484.32 MiB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.srt21.49 KiB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp464.78 MiB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.srt18.5 KiB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4136.96 MiB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.srt27.22 KiB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp476.2 MiB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.srt19.56 KiB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Data Preprocessing and Creating a Model.mp446.99 MiB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Data Preprocessing and Creating a Model.srt13.05 KiB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp468.93 MiB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.srt17.28 KiB
25. Neural Nets and Deep Learning/19. TF Classification Code Along - EDA and Preprocessing.mp456.21 MiB
25. Neural Nets and Deep Learning/19. TF Classification Code Along - EDA and Preprocessing.srt11.69 KiB
25. Neural Nets and Deep Learning/2. Welcome to the Deep Learning Section!.mp44.91 MiB
25. Neural Nets and Deep Learning/2. Welcome to the Deep Learning Section!.srt709 B
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4111.33 MiB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.srt26.42 KiB
25. Neural Nets and Deep Learning/21. TensorFlow 2.0 Project Options Overview.mp47.86 MiB
25. Neural Nets and Deep Learning/21. TensorFlow 2.0 Project Options Overview.srt2.66 KiB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp480.53 MiB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.srt13.45 KiB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4143.62 MiB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.srt30.18 KiB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp496.81 MiB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.srt21.84 KiB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp485.38 MiB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.srt18.34 KiB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4124.95 MiB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.srt26.8 KiB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp423.98 MiB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.srt5.44 KiB
25. Neural Nets and Deep Learning/28. Keras Project Solutions - Creating and Training a Model.mp429.74 MiB
25. Neural Nets and Deep Learning/28. Keras Project Solutions - Creating and Training a Model.srt6.42 KiB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp463.11 MiB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.srt14.83 KiB
25. Neural Nets and Deep Learning/3. Introduction to Artificial Neural Networks (ANN).mp49.67 MiB
25. Neural Nets and Deep Learning/3. Introduction to Artificial Neural Networks (ANN).srt3.48 KiB
25. Neural Nets and Deep Learning/30. Tensorboard.mp4144.17 MiB
25. Neural Nets and Deep Learning/30. Tensorboard.srt30.83 KiB
25. Neural Nets and Deep Learning/4. Installing Tensorflow.html408 B
25. Neural Nets and Deep Learning/5. Perceptron Model.mp448 MiB
25. Neural Nets and Deep Learning/5. Perceptron Model.srt15.39 KiB
25. Neural Nets and Deep Learning/6. Neural Networks.mp435.92 MiB
25. Neural Nets and Deep Learning/6. Neural Networks.srt11.55 KiB
25. Neural Nets and Deep Learning/7. Activation Functions.mp462.58 MiB
25. Neural Nets and Deep Learning/7. Activation Functions.srt16.97 KiB
25. Neural Nets and Deep Learning/8. Multi-Class Classification Considerations.mp446.06 MiB
25. Neural Nets and Deep Learning/8. Multi-Class Classification Considerations.srt17.07 KiB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp475.99 MiB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.srt28.5 KiB
26. Big Data and Spark with Python/1. Welcome to the Big Data Section!.mp45.23 MiB
26. Big Data and Spark with Python/1. Welcome to the Big Data Section!.srt74 B
26. Big Data and Spark with Python/10. Lambda Expressions Review.mp49.33 MiB
26. Big Data and Spark with Python/10. Lambda Expressions Review.srt7.88 KiB
26. Big Data and Spark with Python/11. Introduction to Spark and Python.mp415.73 MiB
26. Big Data and Spark with Python/11. Introduction to Spark and Python.srt12.14 KiB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp455.68 MiB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.srt32.35 KiB
26. Big Data and Spark with Python/2. Big Data Overview.mp49.96 MiB
26. Big Data and Spark with Python/2. Big Data Overview.srt7.77 KiB
26. Big Data and Spark with Python/3. Spark Overview.mp415.7 MiB
26. Big Data and Spark with Python/3. Spark Overview.srt13.59 KiB
26. Big Data and Spark with Python/4. Local Spark Set-Up.html1.62 KiB
26. Big Data and Spark with Python/5. AWS Account Set-Up.mp410.88 MiB
26. Big Data and Spark with Python/5. AWS Account Set-Up.srt6.79 KiB
26. Big Data and Spark with Python/5.1 Amazon Guide to Creating an AWS Account.html146 B
26. Big Data and Spark with Python/6. Quick Note on AWS Security.html392 B
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp462.98 MiB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.srt25.75 KiB
26. Big Data and Spark with Python/7.1 Amazon Guide to Using PuTTY for Windows SSH.html122 B
26. Big Data and Spark with Python/8. SSH with Mac or Linux.mp49.14 MiB
26. Big Data and Spark with Python/8. SSH with Mac or Linux.srt7.95 KiB
26. Big Data and Spark with Python/8.1 Amazon Guide to SSH with Mac.html14 B
26. Big Data and Spark with Python/9. PySpark Setup.mp460.4 MiB
26. Big Data and Spark with Python/9. PySpark Setup.srt36.41 KiB
26. Big Data and Spark with Python/9.1 Step by Step Guide for PySpark Set-up.html158 B
27. BONUS SECTION THANK YOU!/1. Bonus Lecture.html532 B
3. Jupyter Overview/1. Updates to Notebook Zip.html197 B
3. Jupyter Overview/2. Jupyter Notebooks.mp431.99 MiB
3. Jupyter Overview/2. Jupyter Notebooks.srt22.74 KiB
3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip52.5 MiB
3. Jupyter Overview/3. Optional Virtual Environments.mp418.95 MiB
3. Jupyter Overview/3. Optional Virtual Environments.srt15.39 KiB
3. Jupyter Overview/3.1 Updated Link to Manage Environments with Conda.html144 B
4. Python Crash Course/1. Welcome to the Python Crash Course Section!.mp43.96 MiB
4. Python Crash Course/1. Welcome to the Python Crash Course Section!.srt553 B
4. Python Crash Course/2. Introduction to Python Crash Course.mp42.66 MiB
4. Python Crash Course/2. Introduction to Python Crash Course.srt2.28 KiB
4. Python Crash Course/3. Python Crash Course - Part 1.mp435.78 MiB
4. Python Crash Course/3. Python Crash Course - Part 1.srt27.25 KiB
4. Python Crash Course/4. Python Crash Course - Part 2.mp428.87 MiB
4. Python Crash Course/4. Python Crash Course - Part 2.srt22.52 KiB
4. Python Crash Course/5. Python Crash Course - Part 3.mp431.76 MiB
4. Python Crash Course/5. Python Crash Course - Part 3.srt23.24 KiB
4. Python Crash Course/6. Python Crash Course - Part 4.mp429.26 MiB
4. Python Crash Course/6. Python Crash Course - Part 4.srt21.34 KiB
4. Python Crash Course/7. Python Crash Course Exercises - Overview.mp49.38 MiB
4. Python Crash Course/7. Python Crash Course Exercises - Overview.srt5.9 KiB
4. Python Crash Course/8. Python Crash Course Exercises - Solutions.mp427.25 MiB
4. Python Crash Course/8. Python Crash Course Exercises - Solutions.srt16.44 KiB
5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp42.47 MiB
5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.srt348 B
5. Python for Data Analysis - NumPy/2. Introduction to Numpy.mp44.16 MiB
5. Python for Data Analysis - NumPy/2. Introduction to Numpy.srt3.28 KiB
5. Python for Data Analysis - NumPy/3. Numpy Arrays.mp433.44 MiB
5. Python for Data Analysis - NumPy/3. Numpy Arrays.srt22.89 MiB
5. Python for Data Analysis - NumPy/4. Quick Note on Array Indexing.html1.03 KiB
5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.mp437.3 MiB
5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.srt25.08 KiB
5. Python for Data Analysis - NumPy/6. Numpy Operations.mp425.47 MiB
5. Python for Data Analysis - NumPy/6. Numpy Operations.srt10.87 KiB
5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.mp49.77 MiB
5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.srt4.8 KiB
5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.mp438.27 MiB
5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.srt23.81 KiB
6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.mp43.26 MiB
6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.srt469 B
6. Python for Data Analysis - Pandas/10. Operations.mp424.13 MiB
6. Python for Data Analysis - Pandas/10. Operations.srt17.76 KiB
6. Python for Data Analysis - Pandas/11. Data Input and Output.mp436.62 MiB
6. Python for Data Analysis - Pandas/11. Data Input and Output.srt21 KiB
6. Python for Data Analysis - Pandas/2. Introduction to Pandas.mp43.19 MiB
6. Python for Data Analysis - Pandas/2. Introduction to Pandas.srt2.59 KiB
6. Python for Data Analysis - Pandas/3. Series.mp420.31 MiB
6. Python for Data Analysis - Pandas/3. Series.srt19.33 MiB
6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.mp439.77 MiB
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