|
Обратите внимание, что наш сайт не размещает какие-либо файлы из списка. Вы не можете скачать
эти файлы или скачать torrent-файл.
|
| 1.1 Link to Seaborn Documentation (updated).html |
87б |
| 1.1 Py-DS-ML-Bootcamp-master.zip.zip |
52.49Мб |
| 1.1 TensorFlow_FILES.zip.zip |
33.05Мб |
| 1. Bias Variance Trade-Off.mp4 |
18.93Мб |
| 1. Bias Variance Trade-Off.srt |
9.71Кб |
| 1. Bonus Lecture.html |
532б |
| 1. Download TensorFlow Notebooks Here.html |
315б |
| 1. Introduction to Geographical Plotting.mp4 |
1.94Мб |
| 1. Introduction to Geographical Plotting.srt |
1.36Кб |
| 1. Introduction to Plotly and Cufflinks.mp4 |
12.52Мб |
| 1. Introduction to Plotly and Cufflinks.srt |
5.47Кб |
| 1. Introduction to Seaborn.mp4 |
9.03Мб |
| 1. Introduction to Seaborn.srt |
4.46Кб |
| 1. Introduction to the Course.mp4 |
29.04Мб |
| 1. Introduction to the Course.srt |
5.90Кб |
| 1. Introduction to Tree Methods.mp4 |
12.06Мб |
| 1. Introduction to Tree Methods.srt |
9.92Кб |
| 1. K Means Algorithm Theory.mp4 |
9.61Мб |
| 1. K Means Algorithm Theory.srt |
7.55Кб |
| 1. KNN Theory.mp4 |
9.91Мб |
| 1. KNN Theory.srt |
8.01Кб |
| 1. Linear Regression Theory.mp4 |
8.57Мб |
| 1. Linear Regression Theory.srt |
6.65Кб |
| 1. Logistic Regression Theory.mp4 |
21.01Мб |
| 1. Logistic Regression Theory.srt |
17.29Кб |
| 1. Natural Language Processing Theory.mp4 |
8.86Мб |
| 1. Natural Language Processing Theory.srt |
6.99Кб |
| 1. Note on SF Salary Exercise.html |
559б |
| 1. Pandas Built-in Data Visualization.mp4 |
31.35Мб |
| 1. Pandas Built-in Data Visualization.srt |
20.81Кб |
| 1. Principal Component Analysis.mp4 |
6.21Мб |
| 1. Principal Component Analysis.srt |
4.88Кб |
| 1. Python Environment Setup.mp4 |
76.35Мб |
| 1. Python Environment Setup.srt |
19.99Кб |
| 1. Recommender Systems.mp4 |
7.87Мб |
| 1. Recommender Systems.srt |
6.73Кб |
| 1. SVM Theory.mp4 |
8.72Мб |
| 1. SVM Theory.srt |
6.55Кб |
| 1. Updates to Notebook Zip.html |
197б |
| 1. Welcome to the Big Data Section!.mp4 |
5.23Мб |
| 1. Welcome to the Big Data Section!.srt |
740б |
| 1. Welcome to the Data Capstone Projects!.mp4 |
3.99Мб |
| 1. Welcome to the Data Capstone Projects!.srt |
614б |
| 1. Welcome to the Data Visualization Section!.mp4 |
5.19Мб |
| 1. Welcome to the Data Visualization Section!.srt |
748б |
| 1. Welcome to the Machine Learning Section!.mp4 |
7.21Мб |
| 1. Welcome to the Machine Learning Section!.srt |
991б |
| 1. Welcome to the NumPy Section!.mp4 |
2.47Мб |
| 1. Welcome to the NumPy Section!.srt |
348б |
| 1. Welcome to the Pandas Section!.mp4 |
3.26Мб |
| 1. Welcome to the Pandas Section!.srt |
469б |
| 1. Welcome to the Python Crash Course Section!.mp4 |
3.96Мб |
| 1. Welcome to the Python Crash Course Section!.srt |
553б |
| 10. Backpropagation.mp4 |
57.95Мб |
| 10. Backpropagation.srt |
21.45Кб |
| 10. Lambda Expressions Review.mp4 |
9.33Мб |
| 10. Lambda Expressions Review.srt |
7.88Кб |
| 10. Operations.mp4 |
24.13Мб |
| 10. Operations.srt |
17.76Кб |
| 11. Data Input and Output.mp4 |
36.62Мб |
| 11. Data Input and Output.srt |
21.00Кб |
| 11. Introduction to Spark and Python.mp4 |
15.73Мб |
| 11. Introduction to Spark and Python.srt |
12.14Кб |
| 11. TensorFlow vs Keras.mp4 |
10.45Мб |
| 11. TensorFlow vs Keras.srt |
3.27Кб |
| 12. RDD Transformations and Actions.mp4 |
55.68Мб |
| 12. RDD Transformations and Actions.srt |
32.35Кб |
| 12. TF Syntax Basics - Part One - Preparing the Data.mp4 |
50.34Мб |
| 12. TF Syntax Basics - Part One - Preparing the Data.srt |
16.33Кб |
| 13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 |
84.32Мб |
| 13. TF Syntax Basics - Part Two - Creating and Training the Model.srt |
21.49Кб |
| 14. TF Syntax Basics - Part Three - Model Evaluation.mp4 |
64.78Мб |
| 14. TF Syntax Basics - Part Three - Model Evaluation.srt |
18.50Кб |
| 15. TF Regression Code Along - Exploratory Data Analysis.mp4 |
136.96Мб |
| 15. TF Regression Code Along - Exploratory Data Analysis.srt |
27.22Кб |
| 16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 |
76.20Мб |
| 16. TF Regression Code Along - Exploratory Data Analysis - Continued.srt |
19.56Кб |
| 17. TF Regression Code Along - Data Preprocessing and Creating a Model.mp4 |
46.99Мб |
| 17. TF Regression Code Along - Data Preprocessing and Creating a Model.srt |
13.05Кб |
| 18. TF Regression Code Along - Model Evaluation and Predictions.mp4 |
68.93Мб |
| 18. TF Regression Code Along - Model Evaluation and Predictions.srt |
17.28Кб |
| 19. TF Classification Code Along - EDA and Preprocessing.mp4 |
56.21Мб |
| 19. TF Classification Code Along - EDA and Preprocessing.srt |
11.69Кб |
| 2.1 ISLR 6th Edition PDF (Machine Learning Textbook).html |
123б |
| 2.1 Py-DS-ML-Bootcamp-master.zip.zip |
52.50Мб |
| 2.2 Python DS Presentations.zip.zip |
2.79Мб |
| 2. 911 Calls Project Overview.mp4 |
8.57Мб |
| 2. 911 Calls Project Overview.srt |
3.64Кб |
| 2. Big Data Overview.mp4 |
9.96Мб |
| 2. Big Data Overview.srt |
7.77Кб |
| 2. Choropleth Maps - Part 1 - USA.mp4 |
46.16Мб |
| 2. Choropleth Maps - Part 1 - USA.srt |
26.28Кб |
| 2. Course Help and Welcome.mp4 |
8.26Мб |
| 2. Course Help and Welcome.srt |
1.15Кб |
| 2. Decision Trees and Random Forest with Python.mp4 |
40.10Мб |
| 2. Decision Trees and Random Forest with Python.srt |
20.13Кб |
| 2. Distribution Plots.mp4 |
51.40Мб |
| 2. Distribution Plots.srt |
51.43Мб |
| 2. Introduction to Matplotlib.mp4 |
12.64Мб |
| 2. Introduction to Matplotlib.srt |
5.23Кб |
| 2. Introduction to Numpy.mp4 |
4.16Мб |
| 2. Introduction to Numpy.srt |
3.28Кб |
| 2. Introduction to Pandas.mp4 |
3.19Мб |
| 2. Introduction to Pandas.srt |
2.59Кб |
| 2. Introduction to Python Crash Course.mp4 |
2.66Мб |
| 2. Introduction to Python Crash Course.srt |
2.28Кб |
| 2. Jupyter Notebooks.mp4 |
31.99Мб |
| 2. Jupyter Notebooks.srt |
22.74Кб |
| 2. K Means with Python.mp4 |
29.95Мб |
| 2. K Means with Python.srt |
17.37Кб |
| 2. KNN with Python.mp4 |
45.96Мб |
| 2. KNN with Python.srt |
26.68Кб |
| 2. Link for ISLR.html |
560б |
| 2. Logistic Regression with Python - Part 1.mp4 |
41.41Мб |
| 2. Logistic Regression with Python - Part 1.srt |
26.22Кб |
| 2. model_selection Updates for SciKit Learn 0.18.html |
845б |
| 2. NLP with Python - Part 1.mp4 |
40.16Мб |
| 2. NLP with Python - Part 1.srt |
22.05Кб |
| 2. Pandas Data Visualization Exercise.mp4 |
5.17Мб |
| 2. Pandas Data Visualization Exercise.srt |
2.27Кб |
| 2. PCA with Python.mp4 |
43.24Мб |
| 2. PCA with Python.srt |
23.53Кб |
| 2. Plotly and Cufflinks.mp4 |
51.15Мб |
| 2. Plotly and Cufflinks.srt |
27.72Кб |
| 2. Recommender Systems with Python - Part 1.mp4 |
35.53Мб |
| 2. Recommender Systems with Python - Part 1.srt |
19.44Кб |
| 2. SF Salaries Exercise Overview.mp4 |
6.79Мб |
| 2. SF Salaries Exercise Overview.srt |
3.36Кб |
| 2. Support Vector Machines with Python.mp4 |
47.45Мб |
| 2. Support Vector Machines with Python.srt |
24.79Кб |
| 2. Welcome to the Deep Learning Section!.mp4 |
4.91Мб |
| 2. Welcome to the Deep Learning Section!.srt |
709б |
| 20. TF Classification - Dealing with Overfitting and Evaluation.mp4 |
111.33Мб |
| 20. TF Classification - Dealing with Overfitting and Evaluation.srt |
26.42Кб |
| 21. TensorFlow 2.0 Project Options Overview.mp4 |
7.86Мб |
| 21. TensorFlow 2.0 Project Options Overview.srt |
2.66Кб |
| 22. TensorFlow 2.0 Project Notebook Overview.mp4 |
80.53Мб |
| 22. TensorFlow 2.0 Project Notebook Overview.srt |
13.45Кб |
| 23. Keras Project Solutions - Dealing with Missing Data.mp4 |
143.62Мб |
| 23. Keras Project Solutions - Dealing with Missing Data.srt |
30.18Кб |
| 24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 |
96.81Мб |
| 24. Keras Project Solutions - Dealing with Missing Data - Part Two.srt |
21.84Кб |
| 25. Keras Project Solutions - Categorical Data.mp4 |
85.38Мб |
| 25. Keras Project Solutions - Categorical Data.srt |
18.34Кб |
| 26. Keras Project Solutions - Data PreProcessing.mp4 |
124.95Мб |
| 26. Keras Project Solutions - Data PreProcessing.srt |
26.80Кб |
| 27. Keras Project Solutions - Data PreProcessing.mp4 |
23.98Мб |
| 27. Keras Project Solutions - Data PreProcessing.srt |
5.44Кб |
| 28. Keras Project Solutions - Creating and Training a Model.mp4 |
29.74Мб |
| 28. Keras Project Solutions - Creating and Training a Model.srt |
6.42Кб |
| 29. Keras Project Solutions - Model Evaluation.mp4 |
63.11Мб |
| 29. Keras Project Solutions - Model Evaluation.srt |
14.83Кб |
| 3.1 Py_DS_ML_Bootcamp-master.zip.zip |
52.50Мб |
| 3.1 Updated Link to Manage Environments with Conda.html |
144б |
| 3. 911 Calls Solutions - Part 1.mp4 |
39.80Мб |
| 3. 911 Calls Solutions - Part 1.srt |
20.88Кб |
| 3. Categorical Plots.mp4 |
38.50Мб |
| 3. Categorical Plots.srt |
25.95Кб |
| 3. Choropleth Maps - Part 2 - World.mp4 |
19.19Мб |
| 3. Choropleth Maps - Part 2 - World.srt |
8.88Кб |
| 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.srt |
4.98Кб |
| 3. Introduction to Artificial Neural Networks (ANN).mp4 |
9.67Мб |
| 3. Introduction to Artificial Neural Networks (ANN).srt |
3.48Кб |
| 3. K Means Project Overview.mp4 |
9.20Мб |
| 3. K Means Project Overview.srt |
4.79Кб |
| 3. KNN Project Overview.mp4 |
4.99Мб |
| 3. KNN Project Overview.srt |
2.19Кб |
| 3. Linear Regression with Python - Part 1.mp4 |
43.32Мб |
| 3. Linear Regression with Python - Part 1.srt |
26.06Кб |
| 3. Logistic Regression with Python - Part 2.mp4 |
34.22Мб |
| 3. Logistic Regression with Python - Part 2.srt |
23.79Кб |
| 3. Matplotlib Part 1.mp4 |
36.17Мб |
| 3. Matplotlib Part 1.srt |
25.06Кб |
| 3. NLP with Python - Part 2.mp4 |
41.92Мб |
| 3. NLP with Python - Part 2.srt |
25.26Кб |
| 3. Numpy Arrays.mp4 |
33.44Мб |
| 3. Numpy Arrays.srt |
22.89Мб |
| 3. Optional Virtual Environments.mp4 |
18.95Мб |
| 3. Optional Virtual Environments.srt |
15.39Кб |
| 3. Pandas Data Visualization Exercise- Solutions.mp4 |
28.60Мб |
| 3. Pandas Data Visualization Exercise- Solutions.srt |
13.30Кб |
| 3. Python Crash Course - Part 1.mp4 |
35.78Мб |
| 3. Python Crash Course - Part 1.srt |
27.25Кб |
| 3. Recommender Systems with Python - Part 2.mp4 |
34.44Мб |
| 3. Recommender Systems with Python - Part 2.srt |
17.06Кб |
| 3. Series.mp4 |
20.31Мб |
| 3. Series.srt |
19.33Мб |
| 3. SF Salaries Solutions.mp4 |
42.69Мб |
| 3. SF Salaries Solutions.srt |
20.72Кб |
| 3. Spark Overview.mp4 |
15.70Мб |
| 3. Spark Overview.srt |
13.59Кб |
| 3. Supervised Learning Overview.mp4 |
40.05Мб |
| 3. Supervised Learning Overview.srt |
13.42Кб |
| 3. SVM Project Overview.mp4 |
8.59Мб |
| 3. SVM Project Overview.srt |
3.77Кб |
| 30. Tensorboard.mp4 |
144.17Мб |
| 30. Tensorboard.srt |
30.83Кб |
| 4. 911 Calls Solutions - Part 2.mp4 |
49.80Мб |
| 4. 911 Calls Solutions - Part 2.srt |
37.59Мб |
| 4. Choropleth Exercises.mp4 |
11.16Мб |
| 4. Choropleth Exercises.srt |
5.74Кб |
| 4. DataFrames - Part 1.mp4 |
39.77Мб |
| 4. DataFrames - Part 1.srt |
21.33Кб |
| 4. Decision Trees and Random Forest Solutions Part 1.mp4 |
30.87Мб |
| 4. Decision Trees and Random Forest Solutions Part 1.srt |
17.14Кб |
| 4. Ecommerce Purchases Exercise Overview.mp4 |
7.40Мб |
| 4. Ecommerce Purchases Exercise Overview.srt |
3.82Кб |
| 4. Evaluating Performance - Classification Error Metrics.mp4 |
82.72Мб |
| 4. Evaluating Performance - Classification Error Metrics.srt |
27.05Кб |
| 4. Installing Tensorflow.html |
408б |
| 4. K Means Project Solutions.mp4 |
47.12Мб |
| 4. K Means Project Solutions.srt |
22.68Кб |
| 4. KNN Project Solutions.mp4 |
52.66Мб |
| 4. KNN Project Solutions.srt |
19.22Кб |
| 4. Linear Regression with Python - Part 2.mp4 |
16.06Мб |
| 4. Linear Regression with Python - Part 2.srt |
10.08Кб |
| 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.srt |
11.75Кб |
| 4. Matplotlib Part 2.mp4 |
31.56Мб |
| 4. Matplotlib Part 2.srt |
21.51Кб |
| 4. Matrix Plots.mp4 |
22.37Мб |
| 4. Matrix Plots.srt |
14.54Кб |
| 4. NLP with Python - Part 3.mp4 |
37.66Мб |
| 4. NLP with Python - Part 3.srt |
23.92Кб |
| 4. Python Crash Course - Part 2.mp4 |
28.87Мб |
| 4. Python Crash Course - Part 2.srt |
22.52Кб |
| 4. Quick Note on Array Indexing.html |
1.03Кб |
| 4. SVM Project Solutions.mp4 |
28.14Мб |
| 4. SVM Project Solutions.srt |
13.21Кб |
| 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 |
10.88Мб |
| 5. AWS Account Set-Up.srt |
6.79Кб |
| 5. Bank Data.html |
363б |
| 5. Choropleth Exercises - Solutions.mp4 |
27.64Мб |
| 5. Choropleth Exercises - Solutions.srt |
13.89Кб |
| 5. DataFrames - Part 2.mp4 |
42.02Мб |
| 5. DataFrames - Part 2.srt |
24.96Кб |
| 5. Decision Trees and Random Forest Solutions Part 2.mp4 |
26.56Мб |
| 5. Decision Trees and Random Forest Solutions Part 2.srt |
12.14Кб |
| 5. Ecommerce Purchases Exercise Solutions.mp4 |
43.07Мб |
| 5. Ecommerce Purchases Exercise Solutions.srt |
21.34Кб |
| 5. Evaluating Performance - Regression Error Metrics.mp4 |
23.69Мб |
| 5. Evaluating Performance - Regression Error Metrics.srt |
9.17Кб |
| 5. Grids.mp4 |
19.88Мб |
| 5. Grids.srt |
12.73Кб |
| 5. Linear Regression Project Overview.mp4 |
10.80Мб |
| 5. Linear Regression Project Overview.srt |
3.97Кб |
| 5. Logistic Regression Project Overview.mp4 |
5.31Мб |
| 5. Logistic Regression Project Overview.srt |
2.58Кб |
| 5. Matplotlib Part 3.mp4 |
27.28Мб |
| 5. Matplotlib Part 3.srt |
17.69Кб |
| 5. NLP Project Overview.mp4 |
6.68Мб |
| 5. NLP Project Overview.srt |
3.58Кб |
| 5. Numpy Array Indexing.mp4 |
37.30Мб |
| 5. Numpy Array Indexing.srt |
25.08Кб |
| 5. Perceptron Model.mp4 |
48.00Мб |
| 5. Perceptron Model.srt |
15.39Кб |
| 5. Python Crash Course - Part 3.mp4 |
31.76Мб |
| 5. Python Crash Course - Part 3.srt |
23.24Кб |
| 6. DataFrames - Part 3.mp4 |
20.85Мб |
| 6. DataFrames - Part 3.srt |
12.54Кб |
| 6. Finance Data Project Overview.mp4 |
12.21Мб |
| 6. Finance Data Project Overview.srt |
5.41Кб |
| 6. Linear Regression Project Solution.mp4 |
45.39Мб |
| 6. Linear Regression Project Solution.srt |
26.08Кб |
| 6. Logistic Regression Project Solutions.mp4 |
30.21Мб |
| 6. Logistic Regression Project Solutions.srt |
14.72Кб |
| 6. Machine Learning with Python.mp4 |
16.79Мб |
| 6. Machine Learning with Python.srt |
14.15Кб |
| 6. Matplotlib Exercises Overview.mp4 |
5.85Мб |
| 6. Matplotlib Exercises Overview.srt |
2.63Кб |
| 6. Neural Networks.mp4 |
35.92Мб |
| 6. Neural Networks.srt |
11.55Кб |
| 6. NLP Project Solutions.mp4 |
48.05Мб |
| 6. NLP Project Solutions.srt |
26.98Кб |
| 6. Numpy Operations.mp4 |
25.47Мб |
| 6. Numpy Operations.srt |
10.87Кб |
| 6. Python Crash Course - Part 4.mp4 |
29.26Мб |
| 6. Python Crash Course - Part 4.srt |
21.34Кб |
| 6. Quick Note on AWS Security.html |
392б |
| 6. Regression Plots.mp4 |
15.46Мб |
| 6. Regression Plots.srt |
10.26Кб |
| 7.1 Amazon Guide to Using PuTTY for Windows SSH.html |
122б |
| 7. Activation Functions.mp4 |
62.58Мб |
| 7. Activation Functions.srt |
16.97Кб |
| 7. EC2 Instance Set-Up.mp4 |
62.98Мб |
| 7. EC2 Instance Set-Up.srt |
25.75Кб |
| 7. Finance Project - Solutions Part 1.mp4 |
47.26Мб |
| 7. Finance Project - Solutions Part 1.srt |
24.32Кб |
| 7. Matplotlib Exercises - Solutions.mp4 |
27.73Мб |
| 7. Matplotlib Exercises - Solutions.srt |
12.87Кб |
| 7. Missing Data.mp4 |
12.14Мб |
| 7. Missing Data.srt |
8.67Кб |
| 7. Numpy Exercises Overview.mp4 |
9.77Мб |
| 7. Numpy Exercises Overview.srt |
4.80Кб |
| 7. Python Crash Course Exercises - Overview.mp4 |
9.38Мб |
| 7. Python Crash Course Exercises - Overview.srt |
5.90Кб |
| 7. Style and Color.mp4 |
19.00Мб |
| 7. Style and Color.srt |
12.23Кб |
| 8.1 Amazon Guide to SSH with Mac.html |
140б |
| 8. Finance Project - Solutions Part 2.mp4 |
45.71Мб |
| 8. Finance Project - Solutions Part 2.srt |
25.24Кб |
| 8. Groupby.mp4 |
14.77Мб |
| 8. Groupby.srt |
9.98Кб |
| 8. Multi-Class Classification Considerations.mp4 |
46.06Мб |
| 8. Multi-Class Classification Considerations.srt |
17.07Кб |
| 8. Numpy Exercises Solutions.mp4 |
38.27Мб |
| 8. Numpy Exercises Solutions.srt |
23.81Кб |
| 8. Python Crash Course Exercises - Solutions.mp4 |
27.25Мб |
| 8. Python Crash Course Exercises - Solutions.srt |
16.44Кб |
| 8. Seaborn Exercise Overview.mp4 |
6.63Мб |
| 8. Seaborn Exercise Overview.srt |
2.91Кб |
| 8. SSH with Mac or Linux.mp4 |
9.14Мб |
| 8. SSH with Mac or Linux.srt |
7.95Кб |
| 9.1 Step by Step Guide for PySpark Set-up.html |
158б |
| 9. Cost Functions and Gradient Descent.mp4 |
75.99Мб |
| 9. Cost Functions and Gradient Descent.srt |
28.50Кб |
| 9. Finance Project - Solutions Part 3.mp4 |
16.57Мб |
| 9. Finance Project - Solutions Part 3.srt |
8.88Кб |
| 9. Merging Joining and Concatenating.mp4 |
26.16Мб |
| 9. Merging Joining and Concatenating.srt |
13.64Кб |
| 9. PySpark Setup.mp4 |
60.40Мб |
| 9. PySpark Setup.srt |
36.41Кб |
| 9. Seaborn Exercise Solutions.mp4 |
20.04Мб |
| 9. Seaborn Exercise Solutions.srt |
10.17Кб |
| GetFreeCourses.Me.url |
116б |
| GetFreeCourses.Me-Udemy-learn-ethical-hacking-from-scratch.txt |
264б |