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Please note that this page does not hosts or makes available any of the listed filenames. You
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| 1.1 Link to Seaborn Documentation (updated).html |
87B |
| 1.1 Py-DS-ML-Bootcamp-master.zip.zip |
52.49MB |
| 1.1 TensorFlow_FILES.zip.zip |
33.05MB |
| 1. Bias Variance Trade-Off.mp4 |
18.93MB |
| 1. Bias Variance Trade-Off.srt |
9.71KB |
| 1. Bonus Lecture.html |
532B |
| 1. Download TensorFlow Notebooks Here.html |
315B |
| 1. Introduction to Geographical Plotting.mp4 |
1.94MB |
| 1. Introduction to Geographical Plotting.srt |
1.36KB |
| 1. Introduction to Plotly and Cufflinks.mp4 |
12.52MB |
| 1. Introduction to Plotly and Cufflinks.srt |
5.47KB |
| 1. Introduction to Seaborn.mp4 |
9.03MB |
| 1. Introduction to Seaborn.srt |
4.46KB |
| 1. Introduction to the Course.mp4 |
29.04MB |
| 1. Introduction to the Course.srt |
5.90KB |
| 1. Introduction to Tree Methods.mp4 |
12.06MB |
| 1. Introduction to Tree Methods.srt |
9.92KB |
| 1. K Means Algorithm Theory.mp4 |
9.61MB |
| 1. K Means Algorithm Theory.srt |
7.55KB |
| 1. KNN Theory.mp4 |
9.91MB |
| 1. KNN Theory.srt |
8.01KB |
| 1. Linear Regression Theory.mp4 |
8.57MB |
| 1. Linear Regression Theory.srt |
6.65KB |
| 1. Logistic Regression Theory.mp4 |
21.01MB |
| 1. Logistic Regression Theory.srt |
17.29KB |
| 1. Natural Language Processing Theory.mp4 |
8.86MB |
| 1. Natural Language Processing Theory.srt |
6.99KB |
| 1. Note on SF Salary Exercise.html |
559B |
| 1. Pandas Built-in Data Visualization.mp4 |
31.35MB |
| 1. Pandas Built-in Data Visualization.srt |
20.81KB |
| 1. Principal Component Analysis.mp4 |
6.21MB |
| 1. Principal Component Analysis.srt |
4.88KB |
| 1. Python Environment Setup.mp4 |
76.35MB |
| 1. Python Environment Setup.srt |
19.99KB |
| 1. Recommender Systems.mp4 |
7.87MB |
| 1. Recommender Systems.srt |
6.73KB |
| 1. SVM Theory.mp4 |
8.72MB |
| 1. SVM Theory.srt |
6.55KB |
| 1. Updates to Notebook Zip.html |
197B |
| 1. Welcome to the Big Data Section!.mp4 |
5.23MB |
| 1. Welcome to the Big Data Section!.srt |
740B |
| 1. Welcome to the Data Capstone Projects!.mp4 |
3.99MB |
| 1. Welcome to the Data Capstone Projects!.srt |
614B |
| 1. Welcome to the Data Visualization Section!.mp4 |
5.19MB |
| 1. Welcome to the Data Visualization Section!.srt |
748B |
| 1. Welcome to the Machine Learning Section!.mp4 |
7.21MB |
| 1. Welcome to the Machine Learning Section!.srt |
991B |
| 1. Welcome to the NumPy Section!.mp4 |
2.47MB |
| 1. Welcome to the NumPy Section!.srt |
348B |
| 1. Welcome to the Pandas Section!.mp4 |
3.26MB |
| 1. Welcome to the Pandas Section!.srt |
469B |
| 1. Welcome to the Python Crash Course Section!.mp4 |
3.96MB |
| 1. Welcome to the Python Crash Course Section!.srt |
553B |
| 10. Backpropagation.mp4 |
57.95MB |
| 10. Backpropagation.srt |
21.45KB |
| 10. Lambda Expressions Review.mp4 |
9.33MB |
| 10. Lambda Expressions Review.srt |
7.88KB |
| 10. Operations.mp4 |
24.13MB |
| 10. Operations.srt |
17.76KB |
| 11. Data Input and Output.mp4 |
36.62MB |
| 11. Data Input and Output.srt |
21.00KB |
| 11. Introduction to Spark and Python.mp4 |
15.73MB |
| 11. Introduction to Spark and Python.srt |
12.14KB |
| 11. TensorFlow vs Keras.mp4 |
10.45MB |
| 11. TensorFlow vs Keras.srt |
3.27KB |
| 12. RDD Transformations and Actions.mp4 |
55.68MB |
| 12. RDD Transformations and Actions.srt |
32.35KB |
| 12. TF Syntax Basics - Part One - Preparing the Data.mp4 |
50.34MB |
| 12. TF Syntax Basics - Part One - Preparing the Data.srt |
16.33KB |
| 13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 |
84.32MB |
| 13. TF Syntax Basics - Part Two - Creating and Training the Model.srt |
21.49KB |
| 14. TF Syntax Basics - Part Three - Model Evaluation.mp4 |
64.78MB |
| 14. TF Syntax Basics - Part Three - Model Evaluation.srt |
18.50KB |
| 15. TF Regression Code Along - Exploratory Data Analysis.mp4 |
136.96MB |
| 15. TF Regression Code Along - Exploratory Data Analysis.srt |
27.22KB |
| 16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 |
76.20MB |
| 16. TF Regression Code Along - Exploratory Data Analysis - Continued.srt |
19.56KB |
| 17. TF Regression Code Along - Data Preprocessing and Creating a Model.mp4 |
46.99MB |
| 17. TF Regression Code Along - Data Preprocessing and Creating a Model.srt |
13.05KB |
| 18. TF Regression Code Along - Model Evaluation and Predictions.mp4 |
68.93MB |
| 18. TF Regression Code Along - Model Evaluation and Predictions.srt |
17.28KB |
| 19. TF Classification Code Along - EDA and Preprocessing.mp4 |
56.21MB |
| 19. TF Classification Code Along - EDA and Preprocessing.srt |
11.69KB |
| 2.1 ISLR 6th Edition PDF (Machine Learning Textbook).html |
123B |
| 2.1 Py-DS-ML-Bootcamp-master.zip.zip |
52.50MB |
| 2.2 Python DS Presentations.zip.zip |
2.79MB |
| 2. 911 Calls Project Overview.mp4 |
8.57MB |
| 2. 911 Calls Project Overview.srt |
3.64KB |
| 2. Big Data Overview.mp4 |
9.96MB |
| 2. Big Data Overview.srt |
7.77KB |
| 2. Choropleth Maps - Part 1 - USA.mp4 |
46.16MB |
| 2. Choropleth Maps - Part 1 - USA.srt |
26.28KB |
| 2. Course Help and Welcome.mp4 |
8.26MB |
| 2. Course Help and Welcome.srt |
1.15KB |
| 2. Decision Trees and Random Forest with Python.mp4 |
40.10MB |
| 2. Decision Trees and Random Forest with Python.srt |
20.13KB |
| 2. Distribution Plots.mp4 |
51.40MB |
| 2. Distribution Plots.srt |
51.43MB |
| 2. Introduction to Matplotlib.mp4 |
12.64MB |
| 2. Introduction to Matplotlib.srt |
5.23KB |
| 2. Introduction to Numpy.mp4 |
4.16MB |
| 2. Introduction to Numpy.srt |
3.28KB |
| 2. Introduction to Pandas.mp4 |
3.19MB |
| 2. Introduction to Pandas.srt |
2.59KB |
| 2. Introduction to Python Crash Course.mp4 |
2.66MB |
| 2. Introduction to Python Crash Course.srt |
2.28KB |
| 2. Jupyter Notebooks.mp4 |
31.99MB |
| 2. Jupyter Notebooks.srt |
22.74KB |
| 2. K Means with Python.mp4 |
29.95MB |
| 2. K Means with Python.srt |
17.37KB |
| 2. KNN with Python.mp4 |
45.96MB |
| 2. KNN with Python.srt |
26.68KB |
| 2. Link for ISLR.html |
560B |
| 2. Logistic Regression with Python - Part 1.mp4 |
41.41MB |
| 2. Logistic Regression with Python - Part 1.srt |
26.22KB |
| 2. model_selection Updates for SciKit Learn 0.18.html |
845B |
| 2. NLP with Python - Part 1.mp4 |
40.16MB |
| 2. NLP with Python - Part 1.srt |
22.05KB |
| 2. Pandas Data Visualization Exercise.mp4 |
5.17MB |
| 2. Pandas Data Visualization Exercise.srt |
2.27KB |
| 2. PCA with Python.mp4 |
43.24MB |
| 2. PCA with Python.srt |
23.53KB |
| 2. Plotly and Cufflinks.mp4 |
51.15MB |
| 2. Plotly and Cufflinks.srt |
27.72KB |
| 2. Recommender Systems with Python - Part 1.mp4 |
35.53MB |
| 2. Recommender Systems with Python - Part 1.srt |
19.44KB |
| 2. SF Salaries Exercise Overview.mp4 |
6.79MB |
| 2. SF Salaries Exercise Overview.srt |
3.36KB |
| 2. Support Vector Machines with Python.mp4 |
47.45MB |
| 2. Support Vector Machines with Python.srt |
24.79KB |
| 2. Welcome to the Deep Learning Section!.mp4 |
4.91MB |
| 2. Welcome to the Deep Learning Section!.srt |
709B |
| 20. TF Classification - Dealing with Overfitting and Evaluation.mp4 |
111.33MB |
| 20. TF Classification - Dealing with Overfitting and Evaluation.srt |
26.42KB |
| 21. TensorFlow 2.0 Project Options Overview.mp4 |
7.86MB |
| 21. TensorFlow 2.0 Project Options Overview.srt |
2.66KB |
| 22. TensorFlow 2.0 Project Notebook Overview.mp4 |
80.53MB |
| 22. TensorFlow 2.0 Project Notebook Overview.srt |
13.45KB |
| 23. Keras Project Solutions - Dealing with Missing Data.mp4 |
143.62MB |
| 23. Keras Project Solutions - Dealing with Missing Data.srt |
30.18KB |
| 24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 |
96.81MB |
| 24. Keras Project Solutions - Dealing with Missing Data - Part Two.srt |
21.84KB |
| 25. Keras Project Solutions - Categorical Data.mp4 |
85.38MB |
| 25. Keras Project Solutions - Categorical Data.srt |
18.34KB |
| 26. Keras Project Solutions - Data PreProcessing.mp4 |
124.95MB |
| 26. Keras Project Solutions - Data PreProcessing.srt |
26.80KB |
| 27. Keras Project Solutions - Data PreProcessing.mp4 |
23.98MB |
| 27. Keras Project Solutions - Data PreProcessing.srt |
5.44KB |
| 28. Keras Project Solutions - Creating and Training a Model.mp4 |
29.74MB |
| 28. Keras Project Solutions - Creating and Training a Model.srt |
6.42KB |
| 29. Keras Project Solutions - Model Evaluation.mp4 |
63.11MB |
| 29. Keras Project Solutions - Model Evaluation.srt |
14.83KB |
| 3.1 Py_DS_ML_Bootcamp-master.zip.zip |
52.50MB |
| 3.1 Updated Link to Manage Environments with Conda.html |
144B |
| 3. 911 Calls Solutions - Part 1.mp4 |
39.80MB |
| 3. 911 Calls Solutions - Part 1.srt |
20.88KB |
| 3. Categorical Plots.mp4 |
38.50MB |
| 3. Categorical Plots.srt |
25.95KB |
| 3. Choropleth Maps - Part 2 - World.mp4 |
19.19MB |
| 3. Choropleth Maps - Part 2 - World.srt |
8.88KB |
| 3. Course FAQs.html |
5.34KB |
| 3. Decision Trees and Random Forest Project Overview.mp4 |
11.96MB |
| 3. Decision Trees and Random Forest Project Overview.srt |
4.98KB |
| 3. Introduction to Artificial Neural Networks (ANN).mp4 |
9.67MB |
| 3. Introduction to Artificial Neural Networks (ANN).srt |
3.48KB |
| 3. K Means Project Overview.mp4 |
9.20MB |
| 3. K Means Project Overview.srt |
4.79KB |
| 3. KNN Project Overview.mp4 |
4.99MB |
| 3. KNN Project Overview.srt |
2.19KB |
| 3. Linear Regression with Python - Part 1.mp4 |
43.32MB |
| 3. Linear Regression with Python - Part 1.srt |
26.06KB |
| 3. Logistic Regression with Python - Part 2.mp4 |
34.22MB |
| 3. Logistic Regression with Python - Part 2.srt |
23.79KB |
| 3. Matplotlib Part 1.mp4 |
36.17MB |
| 3. Matplotlib Part 1.srt |
25.06KB |
| 3. NLP with Python - Part 2.mp4 |
41.92MB |
| 3. NLP with Python - Part 2.srt |
25.26KB |
| 3. Numpy Arrays.mp4 |
33.44MB |
| 3. Numpy Arrays.srt |
22.89MB |
| 3. Optional Virtual Environments.mp4 |
18.95MB |
| 3. Optional Virtual Environments.srt |
15.39KB |
| 3. Pandas Data Visualization Exercise- Solutions.mp4 |
28.60MB |
| 3. Pandas Data Visualization Exercise- Solutions.srt |
13.30KB |
| 3. Python Crash Course - Part 1.mp4 |
35.78MB |
| 3. Python Crash Course - Part 1.srt |
27.25KB |
| 3. Recommender Systems with Python - Part 2.mp4 |
34.44MB |
| 3. Recommender Systems with Python - Part 2.srt |
17.06KB |
| 3. Series.mp4 |
20.31MB |
| 3. Series.srt |
19.33MB |
| 3. SF Salaries Solutions.mp4 |
42.69MB |
| 3. SF Salaries Solutions.srt |
20.72KB |
| 3. Spark Overview.mp4 |
15.70MB |
| 3. Spark Overview.srt |
13.59KB |
| 3. Supervised Learning Overview.mp4 |
40.05MB |
| 3. Supervised Learning Overview.srt |
13.42KB |
| 3. SVM Project Overview.mp4 |
8.59MB |
| 3. SVM Project Overview.srt |
3.77KB |
| 30. Tensorboard.mp4 |
144.17MB |
| 30. Tensorboard.srt |
30.83KB |
| 4. 911 Calls Solutions - Part 2.mp4 |
49.80MB |
| 4. 911 Calls Solutions - Part 2.srt |
37.59MB |
| 4. Choropleth Exercises.mp4 |
11.16MB |
| 4. Choropleth Exercises.srt |
5.74KB |
| 4. DataFrames - Part 1.mp4 |
39.77MB |
| 4. DataFrames - Part 1.srt |
21.33KB |
| 4. Decision Trees and Random Forest Solutions Part 1.mp4 |
30.87MB |
| 4. Decision Trees and Random Forest Solutions Part 1.srt |
17.14KB |
| 4. Ecommerce Purchases Exercise Overview.mp4 |
7.40MB |
| 4. Ecommerce Purchases Exercise Overview.srt |
3.82KB |
| 4. Evaluating Performance - Classification Error Metrics.mp4 |
82.72MB |
| 4. Evaluating Performance - Classification Error Metrics.srt |
27.05KB |
| 4. Installing Tensorflow.html |
408B |
| 4. K Means Project Solutions.mp4 |
47.12MB |
| 4. K Means Project Solutions.srt |
22.68KB |
| 4. KNN Project Solutions.mp4 |
52.66MB |
| 4. KNN Project Solutions.srt |
19.22KB |
| 4. Linear Regression with Python - Part 2.mp4 |
16.06MB |
| 4. Linear Regression with Python - Part 2.srt |
10.08KB |
| 4. Local Spark Set-Up.html |
1.62KB |
| 4. Logistic Regression with Python - Part 3.mp4 |
16.95MB |
| 4. Logistic Regression with Python - Part 3.srt |
11.75KB |
| 4. Matplotlib Part 2.mp4 |
31.56MB |
| 4. Matplotlib Part 2.srt |
21.51KB |
| 4. Matrix Plots.mp4 |
22.37MB |
| 4. Matrix Plots.srt |
14.54KB |
| 4. NLP with Python - Part 3.mp4 |
37.66MB |
| 4. NLP with Python - Part 3.srt |
23.92KB |
| 4. Python Crash Course - Part 2.mp4 |
28.87MB |
| 4. Python Crash Course - Part 2.srt |
22.52KB |
| 4. Quick Note on Array Indexing.html |
1.03KB |
| 4. SVM Project Solutions.mp4 |
28.14MB |
| 4. SVM Project Solutions.srt |
13.21KB |
| 5.1 Amazon Guide to Creating an AWS Account.html |
146B |
| 5.1 Download all_banks pickle file from this link.html |
117B |
| 5. AWS Account Set-Up.mp4 |
10.88MB |
| 5. AWS Account Set-Up.srt |
6.79KB |
| 5. Bank Data.html |
363B |
| 5. Choropleth Exercises - Solutions.mp4 |
27.64MB |
| 5. Choropleth Exercises - Solutions.srt |
13.89KB |
| 5. DataFrames - Part 2.mp4 |
42.02MB |
| 5. DataFrames - Part 2.srt |
24.96KB |
| 5. Decision Trees and Random Forest Solutions Part 2.mp4 |
26.56MB |
| 5. Decision Trees and Random Forest Solutions Part 2.srt |
12.14KB |
| 5. Ecommerce Purchases Exercise Solutions.mp4 |
43.07MB |
| 5. Ecommerce Purchases Exercise Solutions.srt |
21.34KB |
| 5. Evaluating Performance - Regression Error Metrics.mp4 |
23.69MB |
| 5. Evaluating Performance - Regression Error Metrics.srt |
9.17KB |
| 5. Grids.mp4 |
19.88MB |
| 5. Grids.srt |
12.73KB |
| 5. Linear Regression Project Overview.mp4 |
10.80MB |
| 5. Linear Regression Project Overview.srt |
3.97KB |
| 5. Logistic Regression Project Overview.mp4 |
5.31MB |
| 5. Logistic Regression Project Overview.srt |
2.58KB |
| 5. Matplotlib Part 3.mp4 |
27.28MB |
| 5. Matplotlib Part 3.srt |
17.69KB |
| 5. NLP Project Overview.mp4 |
6.68MB |
| 5. NLP Project Overview.srt |
3.58KB |
| 5. Numpy Array Indexing.mp4 |
37.30MB |
| 5. Numpy Array Indexing.srt |
25.08KB |
| 5. Perceptron Model.mp4 |
48.00MB |
| 5. Perceptron Model.srt |
15.39KB |
| 5. Python Crash Course - Part 3.mp4 |
31.76MB |
| 5. Python Crash Course - Part 3.srt |
23.24KB |
| 6. DataFrames - Part 3.mp4 |
20.85MB |
| 6. DataFrames - Part 3.srt |
12.54KB |
| 6. Finance Data Project Overview.mp4 |
12.21MB |
| 6. Finance Data Project Overview.srt |
5.41KB |
| 6. Linear Regression Project Solution.mp4 |
45.39MB |
| 6. Linear Regression Project Solution.srt |
26.08KB |
| 6. Logistic Regression Project Solutions.mp4 |
30.21MB |
| 6. Logistic Regression Project Solutions.srt |
14.72KB |
| 6. Machine Learning with Python.mp4 |
16.79MB |
| 6. Machine Learning with Python.srt |
14.15KB |
| 6. Matplotlib Exercises Overview.mp4 |
5.85MB |
| 6. Matplotlib Exercises Overview.srt |
2.63KB |
| 6. Neural Networks.mp4 |
35.92MB |
| 6. Neural Networks.srt |
11.55KB |
| 6. NLP Project Solutions.mp4 |
48.05MB |
| 6. NLP Project Solutions.srt |
26.98KB |
| 6. Numpy Operations.mp4 |
25.47MB |
| 6. Numpy Operations.srt |
10.87KB |
| 6. Python Crash Course - Part 4.mp4 |
29.26MB |
| 6. Python Crash Course - Part 4.srt |
21.34KB |
| 6. Quick Note on AWS Security.html |
392B |
| 6. Regression Plots.mp4 |
15.46MB |
| 6. Regression Plots.srt |
10.26KB |
| 7.1 Amazon Guide to Using PuTTY for Windows SSH.html |
122B |
| 7. Activation Functions.mp4 |
62.58MB |
| 7. Activation Functions.srt |
16.97KB |
| 7. EC2 Instance Set-Up.mp4 |
62.98MB |
| 7. EC2 Instance Set-Up.srt |
25.75KB |
| 7. Finance Project - Solutions Part 1.mp4 |
47.26MB |
| 7. Finance Project - Solutions Part 1.srt |
24.32KB |
| 7. Matplotlib Exercises - Solutions.mp4 |
27.73MB |
| 7. Matplotlib Exercises - Solutions.srt |
12.87KB |
| 7. Missing Data.mp4 |
12.14MB |
| 7. Missing Data.srt |
8.67KB |
| 7. Numpy Exercises Overview.mp4 |
9.77MB |
| 7. Numpy Exercises Overview.srt |
4.80KB |
| 7. Python Crash Course Exercises - Overview.mp4 |
9.38MB |
| 7. Python Crash Course Exercises - Overview.srt |
5.90KB |
| 7. Style and Color.mp4 |
19.00MB |
| 7. Style and Color.srt |
12.23KB |
| 8.1 Amazon Guide to SSH with Mac.html |
140B |
| 8. Finance Project - Solutions Part 2.mp4 |
45.71MB |
| 8. Finance Project - Solutions Part 2.srt |
25.24KB |
| 8. Groupby.mp4 |
14.77MB |
| 8. Groupby.srt |
9.98KB |
| 8. Multi-Class Classification Considerations.mp4 |
46.06MB |
| 8. Multi-Class Classification Considerations.srt |
17.07KB |
| 8. Numpy Exercises Solutions.mp4 |
38.27MB |
| 8. Numpy Exercises Solutions.srt |
23.81KB |
| 8. Python Crash Course Exercises - Solutions.mp4 |
27.25MB |
| 8. Python Crash Course Exercises - Solutions.srt |
16.44KB |
| 8. Seaborn Exercise Overview.mp4 |
6.63MB |
| 8. Seaborn Exercise Overview.srt |
2.91KB |
| 8. SSH with Mac or Linux.mp4 |
9.14MB |
| 8. SSH with Mac or Linux.srt |
7.95KB |
| 9.1 Step by Step Guide for PySpark Set-up.html |
158B |
| 9. Cost Functions and Gradient Descent.mp4 |
75.99MB |
| 9. Cost Functions and Gradient Descent.srt |
28.50KB |
| 9. Finance Project - Solutions Part 3.mp4 |
16.57MB |
| 9. Finance Project - Solutions Part 3.srt |
8.88KB |
| 9. Merging Joining and Concatenating.mp4 |
26.16MB |
| 9. Merging Joining and Concatenating.srt |
13.64KB |
| 9. PySpark Setup.mp4 |
60.40MB |
| 9. PySpark Setup.srt |
36.41KB |
| 9. Seaborn Exercise Solutions.mp4 |
20.04MB |
| 9. Seaborn Exercise Solutions.srt |
10.17KB |
| GetFreeCourses.Me.url |
116B |
| GetFreeCourses.Me-Udemy-learn-ethical-hacking-from-scratch.txt |
264B |