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| [CourseClub.ME].url |
122б |
| [FCS Forum].url |
133б |
| [FreeCourseSite.com].url |
127б |
| 1.1 Link to Seaborn Documentation (updated).html |
87б |
| 1.1 Py-DS-ML-Bootcamp-master.zip.zip |
52.49Мб |
| 1. Bias Variance Trade-Off.mp4 |
11.60Мб |
| 1. Bias Variance Trade-Off.vtt |
8.76Кб |
| 1. Bonus Lecture.html |
532б |
| 1. Introduction to Geographical Plotting.mp4 |
1.94Мб |
| 1. Introduction to Geographical Plotting.vtt |
1.25Кб |
| 1. Introduction to Plotly and Cufflinks.mp4 |
12.51Мб |
| 1. Introduction to Plotly and Cufflinks.vtt |
4.93Кб |
| 1. Introduction to Seaborn.mp4 |
9.03Мб |
| 1. Introduction to Seaborn.vtt |
4.07Кб |
| 1. Introduction to the Course.mp4 |
29.04Мб |
| 1. Introduction to the Course.vtt |
5.35Кб |
| 1. Introduction to Tree Methods.mp4 |
12.07Мб |
| 1. Introduction to Tree Methods.vtt |
8.92Кб |
| 1. K Means Algorithm Theory.mp4 |
9.62Мб |
| 1. K Means Algorithm Theory.vtt |
6.82Кб |
| 1. KNN Theory.mp4 |
9.91Мб |
| 1. KNN Theory.vtt |
7.23Кб |
| 1. Linear Regression Theory.mp4 |
8.56Мб |
| 1. Linear Regression Theory.vtt |
5.99Кб |
| 1. Logistic Regression Theory.mp4 |
21.01Мб |
| 1. Logistic Regression Theory.vtt |
15.45Кб |
| 1. Natural Language Processing Theory.mp4 |
8.86Мб |
| 1. Natural Language Processing Theory.vtt |
6.34Кб |
| 1. Note on SF Salary Exercise.html |
559б |
| 1. Pandas Built-in Data Visualization.mp4 |
31.35Мб |
| 1. Pandas Built-in Data Visualization.vtt |
18.59Кб |
| 1. Principal Component Analysis.mp4 |
6.21Мб |
| 1. Principal Component Analysis.vtt |
4.42Кб |
| 1. Python Environment Setup.mp4 |
76.35Мб |
| 1. Python Environment Setup.vtt |
17.65Кб |
| 1. Recommender Systems.mp4 |
7.88Мб |
| 1. Recommender Systems.vtt |
6.11Кб |
| 1. SVM Theory.mp4 |
8.72Мб |
| 1. SVM Theory.vtt |
5.95Кб |
| 1. TensorFlow Installation.mp4 |
69.26Мб |
| 1. TensorFlow Installation.vtt |
34.30Кб |
| 1. Updates to Notebook Zip.html |
197б |
| 1. Welcome to the Big Data Section!.mp4 |
5.24Мб |
| 1. Welcome to the Big Data Section!.vtt |
678б |
| 1. Welcome to the Data Capstone Projects!.mp4 |
3.99Мб |
| 1. Welcome to the Data Capstone Projects!.vtt |
562б |
| 1. Welcome to the Data Visualization Section!.mp4 |
5.20Мб |
| 1. Welcome to the Data Visualization Section!.vtt |
686б |
| 1. Welcome to the Deep Learning Section!.mp4 |
4.91Мб |
| 1. Welcome to the Deep Learning Section!.vtt |
647б |
| 1. Welcome to the Machine Learning Section!.mp4 |
7.21Мб |
| 1. Welcome to the Machine Learning Section!.vtt |
909б |
| 1. Welcome to the NumPy Section!.mp4 |
2.48Мб |
| 1. Welcome to the NumPy Section!.vtt |
316б |
| 1. Welcome to the Pandas Section!.mp4 |
3.26Мб |
| 1. Welcome to the Pandas Section!.vtt |
427б |
| 1. Welcome to the Python Crash Course Section!.mp4 |
3.95Мб |
| 1. Welcome to the Python Crash Course Section!.vtt |
511б |
| 10. Deep Learning Project - Solutions.mp4 |
94.60Мб |
| 10. Deep Learning Project - Solutions.vtt |
13.18Кб |
| 10. Lambda Expressions Review.mp4 |
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| 10. Lambda Expressions Review.vtt |
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| 10. Operations.mp4 |
24.12Мб |
| 10. Operations.vtt |
15.84Кб |
| 11. Data Input and Output.mp4 |
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| 11. Data Input and Output.vtt |
18.75Кб |
| 11. Introduction to Spark and Python.mp4 |
15.74Мб |
| 11. Introduction to Spark and Python.vtt |
10.96Кб |
| 12. RDD Transformations and Actions.mp4 |
55.68Мб |
| 12. RDD Transformations and Actions.vtt |
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| 2.1 ISLR 6th Edition PDF (Machine Learning Textbook).html |
123б |
| 2.1 Py-DS-ML-Bootcamp-master.zip.zip |
52.49Мб |
| 2.2 Python DS Presentations.zip.zip |
2.80Мб |
| 2. 911 Calls Project Overview.mp4 |
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| 2. 911 Calls Project Overview.vtt |
3.30Кб |
| 2. Big Data Overview.mp4 |
9.96Мб |
| 2. Big Data Overview.vtt |
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| 2. Choropleth Maps - Part 1 - USA.mp4 |
46.15Мб |
| 2. Choropleth Maps - Part 1 - USA.vtt |
23.47Кб |
| 2. Course Help and Welcome.mp4 |
8.26Мб |
| 2. Course Help and Welcome.vtt |
1.05Кб |
| 2. Decision Trees and Random Forest with Python.mp4 |
40.09Мб |
| 2. Decision Trees and Random Forest with Python.vtt |
18.04Кб |
| 2. Distribution Plots.mp4 |
51.40Мб |
| 2. Distribution Plots.vtt |
25.44Кб |
| 2. Introduction to Matplotlib.mp4 |
12.63Мб |
| 2. Introduction to Matplotlib.vtt |
4.72Кб |
| 2. Introduction to Numpy.mp4 |
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| 2. Introduction to Numpy.vtt |
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| 2. Introduction to Pandas.mp4 |
3.18Мб |
| 2. Introduction to Pandas.vtt |
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| 2. Introduction to Python Crash Course.mp4 |
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| 2. Introduction to Python Crash Course.vtt |
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| 2. Jupyter Notebooks.mp4 |
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| 2. Jupyter Notebooks.vtt |
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| 2. K Means with Python.mp4 |
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| 2. K Means with Python.vtt |
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| 2. KNN with Python.mp4 |
45.96Мб |
| 2. KNN with Python.vtt |
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| 2. Link for ISLR.html |
406б |
| 2. Logistic Regression with Python - Part 1.mp4 |
41.41Мб |
| 2. Logistic Regression with Python - Part 1.vtt |
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| 2. MNIST with Multi-Layer Perceptron - Part 1.mp4 |
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| 2. MNIST with Multi-Layer Perceptron - Part 1.vtt |
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| 2. model_selection Updates for SciKit Learn 0.18.html |
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| 2. Neural Network Theory.mp4 |
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| 2. Neural Network Theory.vtt |
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| 2. NLP with Python - Part 1.mp4 |
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| 2. NLP with Python - Part 1.vtt |
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| 2. Pandas Data Visualization Exercise.mp4 |
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| 2. Pandas Data Visualization Exercise.vtt |
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| 2. PCA with Python.mp4 |
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| 2. PCA with Python.vtt |
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| 2. Plotly and Cufflinks.mp4 |
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| 2. Plotly and Cufflinks.vtt |
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| 2. Recommender Systems with Python - Part 1.mp4 |
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| 2. Recommender Systems with Python - Part 1.vtt |
17.43Кб |
| 2. SF Salaries Exercise Overview.mp4 |
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| 2. SF Salaries Exercise Overview.vtt |
3.02Кб |
| 2. Support Vector Machines with Python.mp4 |
47.45Мб |
| 2. Support Vector Machines with Python.vtt |
22.20Кб |
| 3.1 Link for ISLR.html |
123б |
| 3.1 Py_DS_ML_Bootcamp-master.zip.zip |
52.49Мб |
| 3.1 Updated Link to Manage Environments with Conda.html |
144б |
| 3. 911 Calls Solutions - Part 1.mp4 |
39.79Мб |
| 3. 911 Calls Solutions - Part 1.vtt |
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| 3. Categorical Plots.mp4 |
38.50Мб |
| 3. Categorical Plots.vtt |
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| 3. Choropleth Maps - Part 2 - World.mp4 |
19.19Мб |
| 3. Choropleth Maps - Part 2 - World.vtt |
3.52Мб |
| 3. Course FAQs.html |
5.34Кб |
| 3. Decision Trees and Random Forest Project Overview.mp4 |
11.96Мб |
| 3. Decision Trees and Random Forest Project Overview.vtt |
4.50Кб |
| 3. Introduction to Machine Learning.mp4 |
28.93Мб |
| 3. Introduction to Machine Learning.vtt |
15.42Кб |
| 3. K Means Project Overview.mp4 |
9.21Мб |
| 3. K Means Project Overview.vtt |
4.32Кб |
| 3. KNN Project Overview.mp4 |
4.98Мб |
| 3. KNN Project Overview.vtt |
1.97Кб |
| 3. Linear Regression with Python - Part 1.mp4 |
43.31Мб |
| 3. Linear Regression with Python - Part 1.vtt |
23.32Кб |
| 3. Logistic Regression with Python - Part 2.mp4 |
34.21Мб |
| 3. Logistic Regression with Python - Part 2.vtt |
21.32Кб |
| 3. Matplotlib Part 1.mp4 |
36.17Мб |
| 3. Matplotlib Part 1.vtt |
22.33Кб |
| 3. MNIST with Multi-Layer Perceptron - Part 2.mp4 |
36.51Мб |
| 3. MNIST with Multi-Layer Perceptron - Part 2.vtt |
20.36Кб |
| 3. NLP with Python - Part 2.mp4 |
41.91Мб |
| 3. NLP with Python - Part 2.vtt |
22.59Кб |
| 3. Numpy Arrays.mp4 |
33.45Мб |
| 3. Numpy Arrays.vtt |
20.50Кб |
| 3. Optional Virtual Environments.mp4 |
18.94Мб |
| 3. Optional Virtual Environments.vtt |
13.78Кб |
| 3. Pandas Data Visualization Exercise- Solutions.mp4 |
28.60Мб |
| 3. Pandas Data Visualization Exercise- Solutions.vtt |
11.91Кб |
| 3. Python Crash Course - Part 1.mp4 |
35.78Мб |
| 3. Python Crash Course - Part 1.vtt |
24.27Кб |
| 3. Recommender Systems with Python - Part 2.mp4 |
34.44Мб |
| 3. Recommender Systems with Python - Part 2.vtt |
15.32Кб |
| 3. Series.mp4 |
20.30Мб |
| 3. Series.vtt |
13.91Кб |
| 3. SF Salaries Solutions.mp4 |
42.69Мб |
| 3. SF Salaries Solutions.vtt |
18.39Кб |
| 3. Spark Overview.mp4 |
15.69Мб |
| 3. Spark Overview.vtt |
12.28Кб |
| 3. SVM Project Overview.mp4 |
8.59Мб |
| 3. SVM Project Overview.vtt |
3.42Кб |
| 3. What is TensorFlow.mp4 |
25.11Мб |
| 3. What is TensorFlow.vtt |
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| 4. 911 Calls Solutions - Part 2.mp4 |
49.79Мб |
| 4. 911 Calls Solutions - Part 2.vtt |
23.64Кб |
| 4. Choropleth Exercises.mp4 |
11.15Мб |
| 4. Choropleth Exercises.vtt |
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| 4. DataFrames - Part 1.mp4 |
39.77Мб |
| 4. DataFrames - Part 1.vtt |
19.06Кб |
| 4. Decision Trees and Random Forest Solutions Part 1.mp4 |
30.86Мб |
| 4. Decision Trees and Random Forest Solutions Part 1.vtt |
15.26Кб |
| 4. Ecommerce Purchases Exercise Overview.mp4 |
7.40Мб |
| 4. Ecommerce Purchases Exercise Overview.vtt |
3.43Кб |
| 4. Installing Tensorflow 1.10.mp4 |
7.28Мб |
| 4. Installing Tensorflow 1.10.vtt |
2.62Кб |
| 4. K Means Project Solutions.mp4 |
47.12Мб |
| 4. K Means Project Solutions.vtt |
20.31Кб |
| 4. KNN Project Solutions.mp4 |
52.66Мб |
| 4. KNN Project Solutions.vtt |
17.23Кб |
| 4. Linear Regression with Python - Part 2.mp4 |
16.05Мб |
| 4. Linear Regression with Python - Part 2.vtt |
9.09Кб |
| 4. Local Spark Set-Up.html |
1.62Кб |
| 4. Logistic Regression with Python - Part 3.mp4 |
16.95Мб |
| 4. Logistic Regression with Python - Part 3.vtt |
10.54Кб |
| 4. Machine Learning with Python.mp4 |
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| 4. Machine Learning with Python.vtt |
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| 4. Matplotlib Part 2.mp4 |
31.56Мб |
| 4. Matplotlib Part 2.vtt |
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| 4. Matrix Plots.mp4 |
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| 4. Matrix Plots.vtt |
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| 4. MNIST with Multi-Layer Perceptron - Part 3.mp4 |
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| 4. MNIST with Multi-Layer Perceptron - Part 3.vtt |
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| 4. NLP with Python - Part 3.mp4 |
37.66Мб |
| 4. NLP with Python - Part 3.vtt |
21.49Кб |
| 4. Python Crash Course - Part 2.mp4 |
28.87Мб |
| 4. Python Crash Course - Part 2.vtt |
19.90Кб |
| 4. Quick Note on Array Indexing.html |
1.03Кб |
| 4. SVM Project Solutions.mp4 |
28.13Мб |
| 4. SVM Project Solutions.vtt |
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| 5.1 Amazon Guide to Creating an AWS Account.html |
146б |
| 5.1 Download all_banks pickle file from this link.html |
117б |
| 5. AWS Account Set-Up.mp4 |
10.89Мб |
| 5. AWS Account Set-Up.vtt |
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| 5. Bank Data.html |
363б |
| 5. Choropleth Exercises - Solutions.mp4 |
27.63Мб |
| 5. Choropleth Exercises - Solutions.vtt |
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| 5. DataFrames - Part 2.mp4 |
42.02Мб |
| 5. DataFrames - Part 2.vtt |
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| 5. Decision Trees and Random Forest Solutions Part 2.mp4 |
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| 5. Decision Trees and Random Forest Solutions Part 2.vtt |
10.88Кб |
| 5. Ecommerce Purchases Exercise Solutions.mp4 |
43.07Мб |
| 5. Ecommerce Purchases Exercise Solutions.vtt |
18.96Кб |
| 5. Grids.mp4 |
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| 5. Grids.vtt |
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| 5. Linear Regression Project Overview.mp4 |
10.80Мб |
| 5. Linear Regression Project Overview.vtt |
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| 5. Logistic Regression Project Overview.mp4 |
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| 5. Logistic Regression Project Overview.vtt |
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| 5. Matplotlib Part 3.mp4 |
27.27Мб |
| 5. Matplotlib Part 3.vtt |
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| 5. NLP Project Overview.mp4 |
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| 5. NLP Project Overview.vtt |
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| 5. Numpy Array Indexing.mp4 |
37.30Мб |
| 5. Numpy Array Indexing.vtt |
22.33Кб |
| 5. Python Crash Course - Part 3.mp4 |
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| 5. Python Crash Course - Part 3.vtt |
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| 5. TensorFlow Basics.mp4 |
30.98Мб |
| 5. TensorFlow Basics.vtt |
19.11Кб |
| 5. TensorFlow with ContribLearn.mp4 |
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| 5. TensorFlow with ContribLearn.vtt |
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| 6. DataFrames - Part 3.mp4 |
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| 6. DataFrames - Part 3.vtt |
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| 6. Finance Data Project Overview.mp4 |
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| 6. Finance Data Project Overview.vtt |
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| 6. Linear Regression Project Solution.mp4 |
45.39Мб |
| 6. Linear Regression Project Solution.vtt |
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| 6. Logistic Regression Project Solutions.mp4 |
30.21Мб |
| 6. Logistic Regression Project Solutions.vtt |
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| 6. Matplotlib Exercises Overview.mp4 |
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| 6. Matplotlib Exercises Overview.vtt |
2.38Кб |
| 6. MNIST - Part One.mp4 |
58.38Мб |
| 6. MNIST - Part One.vtt |
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| 6. NLP Project Solutions.mp4 |
48.05Мб |
| 6. NLP Project Solutions.vtt |
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| 6. Numpy Operations.mp4 |
25.46Мб |
| 6. Numpy Operations.vtt |
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| 6. Python Crash Course - Part 4.mp4 |
29.26Мб |
| 6. Python Crash Course - Part 4.vtt |
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| 6. Quick Note on AWS Security.html |
392б |
| 6. Regression Plots.mp4 |
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| 6. Regression Plots.vtt |
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| 6. Tensorflow Project Exercise Overview.mp4 |
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| 6. Tensorflow Project Exercise Overview.vtt |
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| 7.1 Amazon Guide to Using PuTTY for Windows SSH.html |
122б |
| 7. EC2 Instance Set-Up.mp4 |
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| 7. EC2 Instance Set-Up.vtt |
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| 7. Finance Project - Solutions Part 1.mp4 |
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| 7. Finance Project - Solutions Part 1.vtt |
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| 7. Matplotlib Exercises - Solutions.mp4 |
27.73Мб |
| 7. Matplotlib Exercises - Solutions.vtt |
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| 7. Missing Data.mp4 |
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| 7. MNIST - Part Two.mp4 |
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| 7. MNIST - Part Two.vtt |
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| 7. Numpy Exercises Overview.mp4 |
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| 7. Numpy Exercises Overview.vtt |
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| 7. Python Crash Course Exercises - Overview.mp4 |
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| 7. Python Crash Course Exercises - Overview.vtt |
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| 7. Style and Color.mp4 |
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| 7. Style and Color.vtt |
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| 7. Tensorflow Project Exercise - Solutions.mp4 |
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| 7. Tensorflow Project Exercise - Solutions.vtt |
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| 8.1 Amazon Guide to SSH with Mac.html |
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| 8. Finance Project - Solutions Part 2.mp4 |
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| 8. Finance Project - Solutions Part 2.vtt |
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| 8. Groupby.mp4 |
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| 8. Groupby.vtt |
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| 8. Numpy Exercises Solutions.mp4 |
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| 8. Numpy Exercises Solutions.vtt |
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| 8. Python Crash Course Exercises - Solutions.mp4 |
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| 8. Python Crash Course Exercises - Solutions.vtt |
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| 8. Seaborn Exercise Overview.mp4 |
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| 8. Seaborn Exercise Overview.vtt |
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| 8. SSH with Mac or Linux.mp4 |
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| 8. SSH with Mac or Linux.vtt |
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| 8. Tensorflow Estimators.mp4 |
156.64Мб |
| 8. Tensorflow Estimators.vtt |
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| 9.1 Step by Step Guide for PySpark Set-up.html |
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| 9. Deep Learning Project.mp4 |
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| 9. Deep Learning Project.vtt |
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| 9. Finance Project - Solutions Part 3.mp4 |
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| 9. Finance Project - Solutions Part 3.vtt |
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| 9. Merging Joining and Concatenating.mp4 |
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| 9. Merging Joining and Concatenating.vtt |
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| 9. PySpark Setup.mp4 |
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| 9. PySpark Setup.vtt |
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| 9. Seaborn Exercise Solutions.mp4 |
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| 9. Seaborn Exercise Solutions.vtt |
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