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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 |
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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 |
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16. TF Regression Code Along - Exploratory Data Analysis - Continued.srt |
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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 |
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18. TF Regression Code Along - Model Evaluation and Predictions.srt |
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19. TF Classification Code Along - EDA and Preprocessing.mp4 |
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19. TF Classification Code Along - EDA and Preprocessing.srt |
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2.1 ISLR 6th Edition PDF (Machine Learning Textbook).html |
123б |
2.1 Py-DS-ML-Bootcamp-master.zip.zip |
52.50Мб |
2.2 Python DS Presentations.zip.zip |
2.79Мб |
2. 911 Calls Project Overview.mp4 |
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2. 911 Calls Project Overview.srt |
3.64Кб |
2. Big Data Overview.mp4 |
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2. Big Data Overview.srt |
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2. Choropleth Maps - Part 1 - USA.mp4 |
46.16Мб |
2. Choropleth Maps - Part 1 - USA.srt |
26.28Кб |
2. Course Help and Welcome.mp4 |
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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 |
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2. Introduction to Numpy.srt |
3.28Кб |
2. Introduction to Pandas.mp4 |
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2. Introduction to Pandas.srt |
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2. Introduction to Python Crash Course.mp4 |
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2. Introduction to Python Crash Course.srt |
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2. Jupyter Notebooks.mp4 |
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2. Jupyter Notebooks.srt |
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2. K Means with Python.mp4 |
29.95Мб |
2. K Means with Python.srt |
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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 |
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2. Pandas Data Visualization Exercise.srt |
2.27Кб |
2. PCA with Python.mp4 |
43.24Мб |
2. PCA with Python.srt |
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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 |
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28. Keras Project Solutions - Creating and Training a Model.mp4 |
29.74Мб |
28. Keras Project Solutions - Creating and Training a Model.srt |
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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 |
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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 |
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6. DataFrames - Part 3.mp4 |
20.85Мб |
6. DataFrames - Part 3.srt |
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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 |
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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 |
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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 |