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[DesireCourse Net] Udemy - Python for Data Science and Machine Learning Bootcamp
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0. Websites you may like (Size: 5.77 GB) (Files: 375)
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1. Course Introduction
1. Introduction to the Course.mp4
1. Introduction to the Course.srt
2. Course Help and Welcome.mp4
2. Course Help and Welcome.srt
3. Course FAQs.html
3.1 Py_DS_ML_Bootcamp-master.zip
10. Python for Data Visualization - Pandas Built-in Data Visualization
1. Pandas Built-in Data Visualization.mp4
1. Pandas Built-in Data Visualization.srt
2. Pandas Data Visualization Exercise.mp4
2. Pandas Data Visualization Exercise.srt
3. Pandas Data Visualization Exercise- Solutions.mp4
3. Pandas Data Visualization Exercise- Solutions.srt
11. Python for Data Visualization - Plotly and Cufflinks
1. Introduction to Plotly and Cufflinks.mp4
1. Introduction to Plotly and Cufflinks.srt
2. READ ME FIRST BEFORE PLOTLY PLEASE!.html
3. Plotly and Cufflinks.mp4
3. Plotly and Cufflinks.srt
12. Python for Data Visualization - Geographical Plotting
1. Introduction to Geographical Plotting.mp4
1. Introduction to Geographical Plotting.srt
2. Choropleth Maps - Part 1 - USA.mp4
2. Choropleth Maps - Part 1 - USA.srt
3. Choropleth Maps - Part 2 - World.mp4
3. Choropleth Maps - Part 2 - World.srt
4. Choropleth Exercises.mp4
4. Choropleth Exercises.srt
5. Choropleth Exercises - Solutions.mp4
5. Choropleth Exercises - Solutions.srt
13. Data Capstone Project
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1. Welcome to the Data Capstone Projects!.mp4
1. Welcome to the Data Capstone Projects!.srt
2. 911 Calls Project Overview.mp4
2. 911 Calls Project Overview.srt
3. 911 Calls Solutions - Part 1.mp4
3. 911 Calls Solutions - Part 1.srt
4. 911 Calls Solutions - Part 2.mp4
4. 911 Calls Solutions - Part 2.srt
5. Bank Data.html
5.1 Download all_banks pickle file from this link.html
6. Finance Data Project Overview.mp4
6. Finance Data Project Overview.srt
7. Finance Project - Solutions Part 1.mp4
7. Finance Project - Solutions Part 1.srt
8. Finance Project - Solutions Part 2.mp4
8. Finance Project - Solutions Part 2.srt
9. Finance Project - Solutions Part 3.mp4
9. Finance Project - Solutions Part 3.srt
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14. Introduction to Machine Learning
1. Welcome to Machine Learning. Here are a few resources to get you started!.html
1.1 ISLR 6th Edition PDF (Machine Learning Textbook).html
1.2 Slides for this section to view (please do not request edit access).html
1.3 Python DS Presentations.zip
2. Welcome to the Machine Learning Section!.mp4
2. Welcome to the Machine Learning Section!.srt
3. Supervised Learning Overview.mp4
3. Supervised Learning Overview.srt
4. Evaluating Performance - Classification Error Metrics.mp4
4. Evaluating Performance - Classification Error Metrics.srt
5. Evaluating Performance - Regression Error Metrics.mp4
5. Evaluating Performance - Regression Error Metrics.srt
6. Machine Learning with Python.mp4
6. Machine Learning with Python.srt
15. Linear Regression
1. Linear Regression Theory.mp4
1. Linear Regression Theory.srt
2. model_selection Updates for SciKit Learn 0.18.html
3. Linear Regression with Python - Part 1.mp4
3. Linear Regression with Python - Part 1.srt
4. Linear Regression with Python - Part 2.mp4
4. Linear Regression with Python - Part 2.srt
5. Linear Regression Project Overview.mp4
5. Linear Regression Project Overview.srt
6. Linear Regression Project Solution.mp4
6. Linear Regression Project Solution.srt
16. Cross Validation and Bias-Variance Trade-Off
1. Bias Variance Trade-Off.mp4
1. Bias Variance Trade-Off.srt
17. Logistic Regression
1. Logistic Regression Theory.mp4
1. Logistic Regression Theory.srt
2. Logistic Regression with Python - Part 1.mp4
2. Logistic Regression with Python - Part 1.srt
3. Logistic Regression with Python - Part 2.mp4
3. Logistic Regression with Python - Part 2.srt
4. Logistic Regression with Python - Part 3.mp4
4. Logistic Regression with Python - Part 3.srt
5. Logistic Regression Project Overview.mp4
5. Logistic Regression Project Overview.srt
6. Logistic Regression Project Solutions.mp4
6. Logistic Regression Project Solutions.srt
18. K Nearest Neighbors
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1. KNN Theory.mp4
1. KNN Theory.srt
2. KNN with Python.mp4
2. KNN with Python.srt
3. KNN Project Overview.mp4
3. KNN Project Overview.srt
4. KNN Project Solutions.mp4
4. KNN Project Solutions.srt
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19. Decision Trees and Random Forests
1. Introduction to Tree Methods.mp4
1. Introduction to Tree Methods.srt
2. Decision Trees and Random Forest with Python.mp4
2. Decision Trees and Random Forest with Python.srt
3. Decision Trees and Random Forest Project Overview.mp4
3. Decision Trees and Random Forest Project Overview.srt
4. Decision Trees and Random Forest Solutions Part 1.mp4
4. Decision Trees and Random Forest Solutions Part 1.srt
5. Decision Trees and Random Forest Solutions Part 2.mp4
5. Decision Trees and Random Forest Solutions Part 2.srt
2. Environment Set-Up
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1. Python Environment Setup.mp4
1. Python Environment Setup.srt
1.1 Py-DS-ML-Bootcamp-master.zip
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20. Support Vector Machines
1. SVM Theory.mp4
1. SVM Theory.srt
2. Support Vector Machines with Python.mp4
2. Support Vector Machines with Python.srt
3. SVM Project Overview.mp4
3. SVM Project Overview.srt
4. SVM Project Solutions.mp4
4. SVM Project Solutions.srt
21. K Means Clustering
1. K Means Algorithm Theory.mp4
1. K Means Algorithm Theory.srt
2. K Means with Python.mp4
2. K Means with Python.srt
3. K Means Project Overview.mp4
3. K Means Project Overview.srt
4. K Means Project Solutions.mp4
4. K Means Project Solutions.srt
22. Principal Component Analysis
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1. Principal Component Analysis.mp4
1. Principal Component Analysis.srt
2. PCA with Python.mp4
2. PCA with Python.srt
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23. Recommender Systems
1. Recommender Systems.mp4
1. Recommender Systems.srt
2. Recommender Systems with Python - Part 1.mp4
2. Recommender Systems with Python - Part 1.srt
3. Recommender Systems with Python - Part 2.mp4
3. Recommender Systems with Python - Part 2.srt
24. Natural Language Processing
1. Natural Language Processing Theory.mp4
1. Natural Language Processing Theory.srt
2. NLP with Python - Part 1.mp4
2. NLP with Python - Part 1.srt
3. NLP with Python - Part 2.mp4
3. NLP with Python - Part 2.srt
4. NLP with Python - Part 3.mp4
4. NLP with Python - Part 3.srt
5. NLP Project Overview.mp4
5. NLP Project Overview.srt
6. NLP Project Solutions.mp4
6. NLP Project Solutions.srt
25. Neural Nets and Deep Learning
1. Download TensorFlow Notebooks Here.html
1.1 Slides for Deep Learning Section.html
1.2 TensorFlow_FILES.zip
10. Cost Functions and Gradient Descent.mp4
10. Cost Functions and Gradient Descent.srt
11. Backpropagation.mp4
11. Backpropagation.srt
12. TensorFlow vs Keras.mp4
12. TensorFlow vs Keras.srt
13. TF Syntax Basics - Part One - Preparing the Data.mp4
13. TF Syntax Basics - Part One - Preparing the Data.srt
14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4
14. TF Syntax Basics - Part Two - Creating and Training the Model.srt
15. TF Syntax Basics - Part Three - Model Evaluation.mp4
15. TF Syntax Basics - Part Three - Model Evaluation.srt
16. TF Regression Code Along - Exploratory Data Analysis.mp4
16. TF Regression Code Along - Exploratory Data Analysis.srt
17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4
17. TF Regression Code Along - Exploratory Data Analysis - Continued.srt
18. TF Regression Code Along - Data Preprocessing and Creating a Model.mp4
18. TF Regression Code Along - Data Preprocessing and Creating a Model.srt
19. TF Regression Code Along - Model Evaluation and Predictions.mp4
19. TF Regression Code Along - Model Evaluation and Predictions.srt
2. Quick Check for Notes.html
20. TF Classification Code Along - EDA and Preprocessing.mp4
20. TF Classification Code Along - EDA and Preprocessing.srt
21. TF Classification - Dealing with Overfitting and Evaluation.mp4
21. TF Classification - Dealing with Overfitting and Evaluation.srt
22. TensorFlow 2.0 Project Options Overview.mp4
22. TensorFlow 2.0 Project Options Overview.srt
23. TensorFlow 2.0 Project Notebook Overview.mp4
23. TensorFlow 2.0 Project Notebook Overview.srt
24. Keras Project Solutions - Dealing with Missing Data.mp4
24. Keras Project Solutions - Dealing with Missing Data.srt
25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4
25. Keras Project Solutions - Dealing with Missing Data - Part Two.srt
26. Keras Project Solutions - Categorical Data.mp4
26. Keras Project Solutions - Categorical Data.srt
27. Keras Project Solutions - Data PreProcessing.mp4
27. Keras Project Solutions - Data PreProcessing.srt
28. Keras Project Solutions - Data PreProcessing.mp4
28. Keras Project Solutions - Data PreProcessing.srt
29. Keras Project Solutions - Creating and Training a Model.mp4
29. Keras Project Solutions - Creating and Training a Model.srt
3. Welcome to the Deep Learning Section!.mp4
3. Welcome to the Deep Learning Section!.srt
30. Keras Project Solutions - Model Evaluation.mp4
30. Keras Project Solutions - Model Evaluation.srt
31. Tensorboard.mp4
31. Tensorboard.srt
4. Introduction to Artificial Neural Networks (ANN).mp4
4. Introduction to Artificial Neural Networks (ANN).srt
5. Installing Tensorflow.html
6. Perceptron Model.mp4
6. Perceptron Model.srt
7. Neural Networks.mp4
7. Neural Networks.srt
8. Activation Functions.mp4
8. Activation Functions.srt
9. Multi-Class Classification Considerations.mp4
9. Multi-Class Classification Considerations.srt
26. Big Data and Spark with Python
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1. Welcome to the Big Data Section!.mp4
1. Welcome to the Big Data Section!.srt
10. Lambda Expressions Review.mp4
10. Lambda Expressions Review.srt
11. Introduction to Spark and Python.mp4
11. Introduction to Spark and Python.srt
12. RDD Transformations and Actions.mp4
12. RDD Transformations and Actions.srt
2. Big Data Overview.mp4
2. Big Data Overview.srt
3. Spark Overview.mp4
3. Spark Overview.srt
4. Local Spark Set-Up.html
5. AWS Account Set-Up.mp4
5. AWS Account Set-Up.srt
5.1 Amazon Guide to Creating an AWS Account.html
6. Quick Note on AWS Security.html
7. EC2 Instance Set-Up.mp4
7. EC2 Instance Set-Up.srt
7.1 Amazon Guide to Using PuTTY for Windows SSH.html
8. SSH with Mac or Linux.mp4
8. SSH with Mac or Linux.srt
8.1 Amazon Guide to SSH with Mac.html
9. PySpark Setup.mp4
9. PySpark Setup.srt
9.1 Step by Step Guide for PySpark Set-up.html
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27. BONUS SECTION THANK YOU!
1. Bonus Lecture.html
3. Jupyter Overview
1. Updates to Notebook Zip.html
2. Jupyter Notebooks.mp4
2. Jupyter Notebooks.srt
2.1 Py-DS-ML-Bootcamp-master.zip
3. Optional Virtual Environments.mp4
3. Optional Virtual Environments.srt
3.1 Updated Link to Manage Environments with Conda.html
4. Python Crash Course
1. Welcome to the Python Crash Course Section!.mp4
1. Welcome to the Python Crash Course Section!.srt
2. Introduction to Python Crash Course.mp4
2. Introduction to Python Crash Course.srt
3. Python Crash Course - Part 1.mp4
3. Python Crash Course - Part 1.srt
4. Python Crash Course - Part 2.mp4
4. Python Crash Course - Part 2.srt
5. Python Crash Course - Part 3.mp4
5. Python Crash Course - Part 3.srt
6. Python Crash Course - Part 4.mp4
6. Python Crash Course - Part 4.srt
7. Python Crash Course Exercises - Overview.mp4
7. Python Crash Course Exercises - Overview.srt
8. Python Crash Course Exercises - Solutions.mp4
8. Python Crash Course Exercises - Solutions.srt
5. Python for Data Analysis - NumPy
1. Welcome to the NumPy Section!.mp4
1. Welcome to the NumPy Section!.srt
2. Introduction to Numpy.mp4
2. Introduction to Numpy.srt
3. Numpy Arrays.mp4
3. Numpy Arrays.srt
4. Quick Note on Array Indexing.html
5. Numpy Array Indexing.mp4
5. Numpy Array Indexing.srt
6. Numpy Operations.mp4
6. Numpy Operations.srt
7. Numpy Exercises Overview.mp4
7. Numpy Exercises Overview.srt
8. Numpy Exercises Solutions.mp4
8. Numpy Exercises Solutions.srt
6. Python for Data Analysis - Pandas
1. Welcome to the Pandas Section!.mp4
1. Welcome to the Pandas Section!.srt
10. Operations.mp4
10. Operations.srt
11. Data Input and Output.mp4
11. Data Input and Output.srt
2. Introduction to Pandas.mp4
2. Introduction to Pandas.srt
3. Series.mp4
3. Series.srt
4. DataFrames - Part 1.mp4
4. DataFrames - Part 1.srt
5. DataFrames - Part 2.mp4
5. DataFrames - Part 2.srt
6. DataFrames - Part 3.mp4
6. DataFrames - Part 3.srt
7. Missing Data.mp4
7. Missing Data.srt
8. Groupby.mp4
8. Groupby.srt
9. Merging Joining and Concatenating.mp4
9. Merging Joining and Concatenating.srt
7. Python for Data Analysis - Pandas Exercises
1. Note on SF Salary Exercise.html
2. SF Salaries Exercise Overview.mp4
2. SF Salaries Exercise Overview.srt
3. SF Salaries Solutions.mp4
3. SF Salaries Solutions.srt
4. Ecommerce Purchases Exercise Overview.mp4
4. Ecommerce Purchases Exercise Overview.srt
5. Ecommerce Purchases Exercise Solutions.mp4
5. Ecommerce Purchases Exercise Solutions.srt
8. Python for Data Visualization - Matplotlib
1. Welcome to the Data Visualization Section!.mp4
1. Welcome to the Data Visualization Section!.srt
2. Introduction to Matplotlib.mp4
2. Introduction to Matplotlib.srt
3. Matplotlib Part 1.mp4
3. Matplotlib Part 1.srt
4. Matplotlib Part 2.mp4
4. Matplotlib Part 2.srt
5. Matplotlib Part 3.mp4
5. Matplotlib Part 3.srt
6. Matplotlib Exercises Overview.mp4
6. Matplotlib Exercises Overview.srt
7. Matplotlib Exercises - Solutions.mp4
7. Matplotlib Exercises - Solutions.srt
9. Python for Data Visualization - Seaborn
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1. Introduction to Seaborn.mp4
1. Introduction to Seaborn.srt
1.1 Link to Seaborn Documentation (updated).html
2. Distribution Plots.mp4
2. Distribution Plots.srt
3. Categorical Plots.mp4
3. Categorical Plots.srt
4. Matrix Plots.mp4
4. Matrix Plots.srt
5. Grids.mp4
5. Grids.srt
6. Regression Plots.mp4
6. Regression Plots.srt
7. Style and Color.mp4
7. Style and Color.srt
8. Seaborn Exercise Overview.mp4
8. Seaborn Exercise Overview.srt
9. Seaborn Exercise Solutions.mp4
9. Seaborn Exercise Solutions.srt
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