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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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| [FreeAllCourse.Com].url |
52B |
| [FreeAllCourse.Com].url |
52B |
| 1.1 ISLR 6th Edition PDF (Machine Learning Textbook).html |
123B |
| 1.1 Link to Seaborn Documentation (updated).html |
87B |
| 1.1 Py-DS-ML-Bootcamp-master.zip |
52.49MB |
| 1.1 Slides for Deep Learning Section.html |
138B |
| 1.2 Python DS Presentations.zip |
2.79MB |
| 1.2 TensorFlow_FILES.zip |
33.05MB |
| 1.3 Slides for this section to view (please do not request edit access).html |
138B |
| 1. Bias Variance Trade-Off.mp4 |
12.94MB |
| 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 |
2.15MB |
| 1. Introduction to Geographical Plotting.srt |
1.36KB |
| 1. Introduction to Plotly and Cufflinks.mp4 |
15.63MB |
| 1. Introduction to Plotly and Cufflinks.srt |
5.47KB |
| 1. Introduction to Seaborn.mp4 |
11.59MB |
| 1. Introduction to Seaborn.srt |
4.46KB |
| 1. Introduction to the Course.mp4 |
43.01MB |
| 1. Introduction to the Course.srt |
5.90KB |
| 1. Introduction to Tree Methods.mp4 |
13.49MB |
| 1. Introduction to Tree Methods.srt |
9.92KB |
| 1. K Means Algorithm Theory.mp4 |
10.99MB |
| 1. K Means Algorithm Theory.srt |
7.55KB |
| 1. KNN Theory.mp4 |
11.17MB |
| 1. KNN Theory.srt |
8.01KB |
| 1. Linear Regression Theory.mp4 |
9.90MB |
| 1. Linear Regression Theory.srt |
6.65KB |
| 1. Logistic Regression Theory.mp4 |
23.54MB |
| 1. Logistic Regression Theory.srt |
17.29KB |
| 1. Natural Language Processing Theory.mp4 |
9.82MB |
| 1. Natural Language Processing Theory.srt |
6.99KB |
| 1. Note on SF Salary Exercise.html |
559B |
| 1. Pandas Built-in Data Visualization.mp4 |
36.88MB |
| 1. Pandas Built-in Data Visualization.srt |
20.81KB |
| 1. Principal Component Analysis.mp4 |
7.12MB |
| 1. Principal Component Analysis.srt |
4.88KB |
| 1. Python Environment Setup.mp4 |
76.35MB |
| 1. Python Environment Setup.srt |
21.25KB |
| 1. Recommender Systems.mp4 |
9.10MB |
| 1. Recommender Systems.srt |
6.73KB |
| 1. SVM Theory.mp4 |
9.90MB |
| 1. SVM Theory.srt |
6.55KB |
| 1. Updates to Notebook Zip.html |
197B |
| 1. Welcome to Machine Learning. Here are a few resources to get you started!.html |
847B |
| 1. Welcome to the Big Data Section!.mp4 |
14.24MB |
| 1. Welcome to the Big Data Section!.srt |
740B |
| 1. Welcome to the Data Capstone Projects!.mp4 |
10.98MB |
| 1. Welcome to the Data Capstone Projects!.srt |
614B |
| 1. Welcome to the Data Visualization Section!.mp4 |
14.25MB |
| 1. Welcome to the Data Visualization Section!.srt |
748B |
| 1. Welcome to the NumPy Section!.mp4 |
6.99MB |
| 1. Welcome to the NumPy Section!.srt |
348B |
| 1. Welcome to the Pandas Section!.mp4 |
9.13MB |
| 1. Welcome to the Pandas Section!.srt |
469B |
| 1. Welcome to the Python Crash Course Section!.mp4 |
10.70MB |
| 1. Welcome to the Python Crash Course Section!.srt |
553B |
| 10. Cost Functions and Gradient Descent.mp4 |
75.98MB |
| 10. Cost Functions and Gradient Descent.srt |
28.84KB |
| 10. Lambda Expressions Review.mp4 |
10.32MB |
| 10. Lambda Expressions Review.srt |
7.88KB |
| 10. Operations.mp4 |
27.35MB |
| 10. Operations.srt |
17.76KB |
| 11. Backpropagation.mp4 |
57.95MB |
| 11. Backpropagation.srt |
21.08KB |
| 11. Data Input and Output.mp4 |
44.49MB |
| 11. Data Input and Output.srt |
21.00KB |
| 11. Introduction to Spark and Python.mp4 |
18.09MB |
| 11. Introduction to Spark and Python.srt |
12.14KB |
| 12. RDD Transformations and Actions.mp4 |
70.81MB |
| 12. RDD Transformations and Actions.srt |
32.35KB |
| 12. TensorFlow vs Keras.mp4 |
10.46MB |
| 12. TensorFlow vs Keras.srt |
3.15KB |
| 13. TF Syntax Basics - Part One - Preparing the Data.mp4 |
50.35MB |
| 13. TF Syntax Basics - Part One - Preparing the Data.srt |
15.84KB |
| 14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 |
84.31MB |
| 14. TF Syntax Basics - Part Two - Creating and Training the Model.srt |
21.75KB |
| 15. TF Syntax Basics - Part Three - Model Evaluation.mp4 |
64.78MB |
| 15. TF Syntax Basics - Part Three - Model Evaluation.srt |
18.43KB |
| 16. TF Regression Code Along - Exploratory Data Analysis.mp4 |
136.96MB |
| 16. TF Regression Code Along - Exploratory Data Analysis.srt |
27.41KB |
| 17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 |
76.20MB |
| 17. TF Regression Code Along - Exploratory Data Analysis - Continued.srt |
19.76KB |
| 18. TF Regression Code Along - Data Preprocessing and Creating a Model.mp4 |
47.00MB |
| 18. TF Regression Code Along - Data Preprocessing and Creating a Model.srt |
12.99KB |
| 19. TF Regression Code Along - Model Evaluation and Predictions.mp4 |
68.93MB |
| 19. TF Regression Code Along - Model Evaluation and Predictions.srt |
17.20KB |
| 2.1 Py-DS-ML-Bootcamp-master.zip |
52.50MB |
| 2. 911 Calls Project Overview.mp4 |
11.45MB |
| 2. 911 Calls Project Overview.srt |
3.64KB |
| 2. Big Data Overview.mp4 |
11.30MB |
| 2. Big Data Overview.srt |
7.77KB |
| 2. Choropleth Maps - Part 1 - USA.mp4 |
54.96MB |
| 2. Choropleth Maps - Part 1 - USA.srt |
26.28KB |
| 2. Course Help and Welcome.mp4 |
22.14MB |
| 2. Course Help and Welcome.srt |
1.15KB |
| 2. Decision Trees and Random Forest with Python.mp4 |
49.09MB |
| 2. Decision Trees and Random Forest with Python.srt |
20.13KB |
| 2. Distribution Plots.mp4 |
61.74MB |
| 2. Distribution Plots.srt |
28.46KB |
| 2. Introduction to Matplotlib.mp4 |
16.34MB |
| 2. Introduction to Matplotlib.srt |
5.23KB |
| 2. Introduction to Numpy.mp4 |
4.73MB |
| 2. Introduction to Numpy.srt |
3.28KB |
| 2. Introduction to Pandas.mp4 |
3.53MB |
| 2. Introduction to Pandas.srt |
2.59KB |
| 2. Introduction to Python Crash Course.mp4 |
3.04MB |
| 2. Introduction to Python Crash Course.srt |
2.28KB |
| 2. Jupyter Notebooks.mp4 |
37.76MB |
| 2. Jupyter Notebooks.srt |
22.74KB |
| 2. K Means with Python.mp4 |
34.62MB |
| 2. K Means with Python.srt |
17.37KB |
| 2. KNN with Python.mp4 |
54.68MB |
| 2. KNN with Python.srt |
26.68KB |
| 2. Logistic Regression with Python - Part 1.mp4 |
49.04MB |
| 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 |
47.41MB |
| 2. NLP with Python - Part 1.srt |
22.05KB |
| 2. Pandas Data Visualization Exercise.mp4 |
6.56MB |
| 2. Pandas Data Visualization Exercise.srt |
2.27KB |
| 2. PCA with Python.mp4 |
49.81MB |
| 2. PCA with Python.srt |
23.53KB |
| 2. Quick Check for Notes.html |
164B |
| 2. READ ME FIRST BEFORE PLOTLY PLEASE!.html |
1.50KB |
| 2. Recommender Systems with Python - Part 1.mp4 |
43.40MB |
| 2. Recommender Systems with Python - Part 1.srt |
19.44KB |
| 2. SF Salaries Exercise Overview.mp4 |
8.31MB |
| 2. SF Salaries Exercise Overview.srt |
3.36KB |
| 2. Support Vector Machines with Python.mp4 |
56.15MB |
| 2. Support Vector Machines with Python.srt |
24.79KB |
| 2. Welcome to the Machine Learning Section!.mp4 |
19.51MB |
| 2. Welcome to the Machine Learning Section!.srt |
991B |
| 20. TF Classification Code Along - EDA and Preprocessing.mp4 |
56.21MB |
| 20. TF Classification Code Along - EDA and Preprocessing.srt |
12.09KB |
| 21. TF Classification - Dealing with Overfitting and Evaluation.mp4 |
111.33MB |
| 21. TF Classification - Dealing with Overfitting and Evaluation.srt |
25.79KB |
| 22. TensorFlow 2.0 Project Options Overview.mp4 |
7.86MB |
| 22. TensorFlow 2.0 Project Options Overview.srt |
2.72KB |
| 23. TensorFlow 2.0 Project Notebook Overview.mp4 |
80.53MB |
| 23. TensorFlow 2.0 Project Notebook Overview.srt |
12.96KB |
| 24. Keras Project Solutions - Dealing with Missing Data.mp4 |
143.62MB |
| 24. Keras Project Solutions - Dealing with Missing Data.srt |
30.44KB |
| 25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 |
96.82MB |
| 25. Keras Project Solutions - Dealing with Missing Data - Part Two.srt |
21.96KB |
| 26. Keras Project Solutions - Categorical Data.mp4 |
85.38MB |
| 26. Keras Project Solutions - Categorical Data.srt |
18.23KB |
| 27. Keras Project Solutions - Data PreProcessing.mp4 |
124.95MB |
| 27. Keras Project Solutions - Data PreProcessing.srt |
27.26KB |
| 28. Keras Project Solutions - Data PreProcessing.mp4 |
23.98MB |
| 28. Keras Project Solutions - Data PreProcessing.srt |
5.60KB |
| 29. Keras Project Solutions - Creating and Training a Model.mp4 |
29.74MB |
| 29. Keras Project Solutions - Creating and Training a Model.srt |
6.50KB |
| 3.1 Py_DS_ML_Bootcamp-master.zip |
52.50MB |
| 3.1 Updated Link to Manage Environments with Conda.html |
144B |
| 3. 911 Calls Solutions - Part 1.mp4 |
49.16MB |
| 3. 911 Calls Solutions - Part 1.srt |
20.88KB |
| 3. Categorical Plots.mp4 |
44.38MB |
| 3. Categorical Plots.srt |
25.95KB |
| 3. Choropleth Maps - Part 2 - World.mp4 |
24.42MB |
| 3. Choropleth Maps - Part 2 - World.srt |
8.88KB |
| 3. Course FAQs.html |
5.34KB |
| 3. Decision Trees and Random Forest Project Overview.mp4 |
15.43MB |
| 3. Decision Trees and Random Forest Project Overview.srt |
4.98KB |
| 3. K Means Project Overview.mp4 |
11.57MB |
| 3. K Means Project Overview.srt |
4.79KB |
| 3. KNN Project Overview.mp4 |
7.11MB |
| 3. KNN Project Overview.srt |
2.19KB |
| 3. Linear Regression with Python - Part 1.mp4 |
52.30MB |
| 3. Linear Regression with Python - Part 1.srt |
26.06KB |
| 3. Logistic Regression with Python - Part 2.mp4 |
38.83MB |
| 3. Logistic Regression with Python - Part 2.srt |
23.79KB |
| 3. Matplotlib Part 1.mp4 |
41.63MB |
| 3. Matplotlib Part 1.srt |
25.06KB |
| 3. NLP with Python - Part 2.mp4 |
49.09MB |
| 3. NLP with Python - Part 2.srt |
25.26KB |
| 3. Numpy Arrays.mp4 |
38.13MB |
| 3. Numpy Arrays.srt |
22.94KB |
| 3. Optional Virtual Environments.mp4 |
21.79MB |
| 3. Optional Virtual Environments.srt |
15.39KB |
| 3. Pandas Data Visualization Exercise- Solutions.mp4 |
35.91MB |
| 3. Pandas Data Visualization Exercise- Solutions.srt |
13.30KB |
| 3. Plotly and Cufflinks.mp4 |
62.60MB |
| 3. Plotly and Cufflinks.srt |
27.72KB |
| 3. Python Crash Course - Part 1.mp4 |
40.15MB |
| 3. Python Crash Course - Part 1.srt |
27.25KB |
| 3. Recommender Systems with Python - Part 2.mp4 |
39.41MB |
| 3. Recommender Systems with Python - Part 2.srt |
17.06KB |
| 3. Series.mp4 |
22.69MB |
| 3. Series.srt |
15.52KB |
| 3. SF Salaries Solutions.mp4 |
51.79MB |
| 3. SF Salaries Solutions.srt |
20.72KB |
| 3. Spark Overview.mp4 |
17.50MB |
| 3. Spark Overview.srt |
13.59KB |
| 3. Supervised Learning Overview.mp4 |
40.05MB |
| 3. Supervised Learning Overview.srt |
13.25KB |
| 3. SVM Project Overview.mp4 |
11.18MB |
| 3. SVM Project Overview.srt |
3.77KB |
| 3. Welcome to the Deep Learning Section!.mp4 |
13.35MB |
| 3. Welcome to the Deep Learning Section!.srt |
709B |
| 30. Keras Project Solutions - Model Evaluation.mp4 |
63.11MB |
| 30. Keras Project Solutions - Model Evaluation.srt |
14.53KB |
| 31. Tensorboard.mp4 |
144.18MB |
| 31. Tensorboard.srt |
30.75KB |
| 4. 911 Calls Solutions - Part 2.mp4 |
58.83MB |
| 4. 911 Calls Solutions - Part 2.srt |
26.49KB |
| 4. Choropleth Exercises.mp4 |
12.87MB |
| 4. Choropleth Exercises.srt |
5.74KB |
| 4. DataFrames - Part 1.mp4 |
45.61MB |
| 4. DataFrames - Part 1.srt |
21.33KB |
| 4. Decision Trees and Random Forest Solutions Part 1.mp4 |
36.72MB |
| 4. Decision Trees and Random Forest Solutions Part 1.srt |
17.14KB |
| 4. Ecommerce Purchases Exercise Overview.mp4 |
8.79MB |
| 4. Ecommerce Purchases Exercise Overview.srt |
3.82KB |
| 4. Evaluating Performance - Classification Error Metrics.mp4 |
82.71MB |
| 4. Evaluating Performance - Classification Error Metrics.srt |
25.97KB |
| 4. Introduction to Artificial Neural Networks (ANN).mp4 |
9.66MB |
| 4. Introduction to Artificial Neural Networks (ANN).srt |
3.48KB |
| 4. K Means Project Solutions.mp4 |
56.73MB |
| 4. K Means Project Solutions.srt |
22.68KB |
| 4. KNN Project Solutions.mp4 |
70.85MB |
| 4. KNN Project Solutions.srt |
19.22KB |
| 4. Linear Regression with Python - Part 2.mp4 |
19.27MB |
| 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 |
20.02MB |
| 4. Logistic Regression with Python - Part 3.srt |
11.75KB |
| 4. Matplotlib Part 2.mp4 |
35.46MB |
| 4. Matplotlib Part 2.srt |
21.51KB |
| 4. Matrix Plots.mp4 |
25.41MB |
| 4. Matrix Plots.srt |
14.54KB |
| 4. NLP with Python - Part 3.mp4 |
43.49MB |
| 4. NLP with Python - Part 3.srt |
23.92KB |
| 4. Python Crash Course - Part 2.mp4 |
32.21MB |
| 4. Python Crash Course - Part 2.srt |
22.52KB |
| 4. Quick Note on Array Indexing.html |
1.03KB |
| 4. SVM Project Solutions.mp4 |
33.57MB |
| 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 |
13.11MB |
| 5. AWS Account Set-Up.srt |
6.79KB |
| 5. Bank Data.html |
363B |
| 5. Choropleth Exercises - Solutions.mp4 |
33.46MB |
| 5. Choropleth Exercises - Solutions.srt |
13.89KB |
| 5. DataFrames - Part 2.mp4 |
49.87MB |
| 5. DataFrames - Part 2.srt |
24.96KB |
| 5. Decision Trees and Random Forest Solutions Part 2.mp4 |
32.30MB |
| 5. Decision Trees and Random Forest Solutions Part 2.srt |
12.14KB |
| 5. Ecommerce Purchases Exercise Solutions.mp4 |
52.02MB |
| 5. Ecommerce Purchases Exercise Solutions.srt |
21.34KB |
| 5. Evaluating Performance - Regression Error Metrics.mp4 |
23.69MB |
| 5. Evaluating Performance - Regression Error Metrics.srt |
9.07KB |
| 5. Grids.mp4 |
23.94MB |
| 5. Grids.srt |
12.73KB |
| 5. Installing Tensorflow.html |
408B |
| 5. Linear Regression Project Overview.mp4 |
14.20MB |
| 5. Linear Regression Project Overview.srt |
3.97KB |
| 5. Logistic Regression Project Overview.mp4 |
6.66MB |
| 5. Logistic Regression Project Overview.srt |
2.58KB |
| 5. Matplotlib Part 3.mp4 |
31.90MB |
| 5. Matplotlib Part 3.srt |
17.69KB |
| 5. NLP Project Overview.mp4 |
8.45MB |
| 5. NLP Project Overview.srt |
3.58KB |
| 5. Numpy Array Indexing.mp4 |
42.25MB |
| 5. Numpy Array Indexing.srt |
25.08KB |
| 5. Python Crash Course - Part 3.mp4 |
35.76MB |
| 5. Python Crash Course - Part 3.srt |
23.24KB |
| 6. DataFrames - Part 3.mp4 |
24.30MB |
| 6. DataFrames - Part 3.srt |
12.54KB |
| 6. Finance Data Project Overview.mp4 |
16.38MB |
| 6. Finance Data Project Overview.srt |
5.41KB |
| 6. Linear Regression Project Solution.mp4 |
56.46MB |
| 6. Linear Regression Project Solution.srt |
26.08KB |
| 6. Logistic Regression Project Solutions.mp4 |
36.69MB |
| 6. Logistic Regression Project Solutions.srt |
14.72KB |
| 6. Machine Learning with Python.mp4 |
18.79MB |
| 6. Machine Learning with Python.srt |
14.15KB |
| 6. Matplotlib Exercises Overview.mp4 |
7.72MB |
| 6. Matplotlib Exercises Overview.srt |
2.63KB |
| 6. NLP Project Solutions.mp4 |
57.70MB |
| 6. NLP Project Solutions.srt |
26.98KB |
| 6. Numpy Operations.mp4 |
30.10MB |
| 6. Numpy Operations.srt |
10.87KB |
| 6. Perceptron Model.mp4 |
48.00MB |
| 6. Perceptron Model.srt |
15.44KB |
| 6. Python Crash Course - Part 4.mp4 |
32.56MB |
| 6. Python Crash Course - Part 4.srt |
21.34KB |
| 6. Quick Note on AWS Security.html |
392B |
| 6. Regression Plots.mp4 |
18.03MB |
| 6. Regression Plots.srt |
10.26KB |
| 7.1 Amazon Guide to Using PuTTY for Windows SSH.html |
122B |
| 7. EC2 Instance Set-Up.mp4 |
86.53MB |
| 7. EC2 Instance Set-Up.srt |
25.75KB |
| 7. Finance Project - Solutions Part 1.mp4 |
60.46MB |
| 7. Finance Project - Solutions Part 1.srt |
24.32KB |
| 7. Matplotlib Exercises - Solutions.mp4 |
32.80MB |
| 7. Matplotlib Exercises - Solutions.srt |
12.87KB |
| 7. Missing Data.mp4 |
13.69MB |
| 7. Missing Data.srt |
8.67KB |
| 7. Neural Networks.mp4 |
35.92MB |
| 7. Neural Networks.srt |
11.40KB |
| 7. Numpy Exercises Overview.mp4 |
12.22MB |
| 7. Numpy Exercises Overview.srt |
4.80KB |
| 7. Python Crash Course Exercises - Overview.mp4 |
12.24MB |
| 7. Python Crash Course Exercises - Overview.srt |
5.90KB |
| 7. Style and Color.mp4 |
22.69MB |
| 7. Style and Color.srt |
12.23KB |
| 8.1 Amazon Guide to SSH with Mac.html |
140B |
| 8. Activation Functions.mp4 |
62.58MB |
| 8. Activation Functions.srt |
16.90KB |
| 8. Finance Project - Solutions Part 2.mp4 |
55.85MB |
| 8. Finance Project - Solutions Part 2.srt |
25.24KB |
| 8. Groupby.mp4 |
16.70MB |
| 8. Groupby.srt |
9.98KB |
| 8. Numpy Exercises Solutions.mp4 |
46.24MB |
| 8. Numpy Exercises Solutions.srt |
23.81KB |
| 8. Python Crash Course Exercises - Solutions.mp4 |
34.41MB |
| 8. Python Crash Course Exercises - Solutions.srt |
16.44KB |
| 8. Seaborn Exercise Overview.mp4 |
8.25MB |
| 8. Seaborn Exercise Overview.srt |
2.91KB |
| 8. SSH with Mac or Linux.mp4 |
10.90MB |
| 8. SSH with Mac or Linux.srt |
7.95KB |
| 9.1 Step by Step Guide for PySpark Set-up.html |
158B |
| 9. Finance Project - Solutions Part 3.mp4 |
19.92MB |
| 9. Finance Project - Solutions Part 3.srt |
8.88KB |
| 9. Merging Joining and Concatenating.mp4 |
30.38MB |
| 9. Merging Joining and Concatenating.srt |
13.64KB |
| 9. Multi-Class Classification Considerations.mp4 |
46.05MB |
| 9. Multi-Class Classification Considerations.srt |
16.98KB |
| 9. PySpark Setup.mp4 |
70.63MB |
| 9. PySpark Setup.srt |
36.41KB |
| 9. Seaborn Exercise Solutions.mp4 |
24.23MB |
| 9. Seaborn Exercise Solutions.srt |
10.17KB |
| Verify Files.txt |
1.03KB |