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Udemy - Python for Data Science and Machine Learning Bootcamp (6/2020) [FAC]

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Udemy - Python for Data Science and Machine Learning Bootcamp (6/2020) [FAC] (Size: 5.63 GB)
  0. Websites you may like
  [FreeAllCourse.Com].url 52 B
  1. Course Introduction
  1. Introduction to the Course.mp4 43.01 MB
  1. Introduction to the Course.srt 5.9 KB
  2. Course Help and Welcome.mp4 22.14 MB
  2. Course Help and Welcome.srt 1.15 KB
  3. Course FAQs.html 5.34 KB
  3.1 Py_DS_ML_Bootcamp-master.zip 52.5 MB
  10. Python for Data Visualization - Pandas Built-in Data Visualization
  1. Pandas Built-in Data Visualization.mp4 36.88 MB
  1. Pandas Built-in Data Visualization.srt 20.81 KB
  2. Pandas Data Visualization Exercise.mp4 6.56 MB
  2. Pandas Data Visualization Exercise.srt 2.27 KB
  3. Pandas Data Visualization Exercise- Solutions.mp4 35.91 MB
  3. Pandas Data Visualization Exercise- Solutions.srt 13.3 KB
  11. Python for Data Visualization - Plotly and Cufflinks
  1. Introduction to Plotly and Cufflinks.mp4 15.63 MB
  1. Introduction to Plotly and Cufflinks.srt 5.47 KB
  2. READ ME FIRST BEFORE PLOTLY PLEASE!.html 1.5 KB
  3. Plotly and Cufflinks.mp4 62.6 MB
  3. Plotly and Cufflinks.srt 27.72 KB
  12. Python for Data Visualization - Geographical Plotting
  1. Introduction to Geographical Plotting.mp4 2.15 MB
  1. Introduction to Geographical Plotting.srt 1.36 KB
  2. Choropleth Maps - Part 1 - USA.mp4 54.96 MB
  2. Choropleth Maps - Part 1 - USA.srt 26.28 KB
  3. Choropleth Maps - Part 2 - World.mp4 24.42 MB
  3. Choropleth Maps - Part 2 - World.srt 8.88 KB
  4. Choropleth Exercises.mp4 12.87 MB
  4. Choropleth Exercises.srt 5.74 KB
  5. Choropleth Exercises - Solutions.mp4 33.46 MB
  5. Choropleth Exercises - Solutions.srt 13.89 KB
  13. Data Capstone Project
  1. Welcome to the Data Capstone Projects!.mp4 10.98 MB
  1. Welcome to the Data Capstone Projects!.srt 614 B
  2. 911 Calls Project Overview.mp4 11.45 MB
  2. 911 Calls Project Overview.srt 3.64 KB
  3. 911 Calls Solutions - Part 1.mp4 49.16 MB
  3. 911 Calls Solutions - Part 1.srt 20.88 KB
  4. 911 Calls Solutions - Part 2.mp4 58.83 MB
  4. 911 Calls Solutions - Part 2.srt 26.49 KB
  5. Bank Data.html 363 B
  5.1 Download all_banks pickle file from this link.html 117 B
  6. Finance Data Project Overview.mp4 16.38 MB
  6. Finance Data Project Overview.srt 5.41 KB
  7. Finance Project - Solutions Part 1.mp4 60.46 MB
  7. Finance Project - Solutions Part 1.srt 24.32 KB
  8. Finance Project - Solutions Part 2.mp4 55.85 MB
  8. Finance Project - Solutions Part 2.srt 25.24 KB
  9. Finance Project - Solutions Part 3.mp4 19.92 MB
  9. Finance Project - Solutions Part 3.srt 8.88 KB
  14. Introduction to Machine Learning
  1. Welcome to Machine Learning. Here are a few resources to get you started!.html 847 B
  1.1 ISLR 6th Edition PDF (Machine Learning Textbook).html 123 B
  1.2 Python DS Presentations.zip 2.79 MB
  1.3 Slides for this section to view (please do not request edit access).html 138 B
  2. Welcome to the Machine Learning Section!.mp4 19.51 MB
  2. Welcome to the Machine Learning Section!.srt 991 B
  3. Supervised Learning Overview.mp4 40.05 MB
  3. Supervised Learning Overview.srt 13.25 KB
  4. Evaluating Performance - Classification Error Metrics.mp4 82.71 MB
  4. Evaluating Performance - Classification Error Metrics.srt 25.97 KB
  5. Evaluating Performance - Regression Error Metrics.mp4 23.69 MB
  5. Evaluating Performance - Regression Error Metrics.srt 9.07 KB
  6. Machine Learning with Python.mp4 18.79 MB
  6. Machine Learning with Python.srt 14.15 KB
  15. Linear Regression
  1. Linear Regression Theory.mp4 9.9 MB
  1. Linear Regression Theory.srt 6.65 KB
  2. model_selection Updates for SciKit Learn 0.18.html 845 B
  3. Linear Regression with Python - Part 1.mp4 52.3 MB
  3. Linear Regression with Python - Part 1.srt 26.06 KB
  4. Linear Regression with Python - Part 2.mp4 19.27 MB
  4. Linear Regression with Python - Part 2.srt 10.08 KB
  5. Linear Regression Project Overview.mp4 14.2 MB
  5. Linear Regression Project Overview.srt 3.97 KB
  6. Linear Regression Project Solution.mp4 56.46 MB
  6. Linear Regression Project Solution.srt 26.08 KB
  16. Cross Validation and Bias-Variance Trade-Off
  1. Bias Variance Trade-Off.mp4 12.94 MB
  1. Bias Variance Trade-Off.srt 9.71 KB
  17. Logistic Regression
  1. Logistic Regression Theory.mp4 23.54 MB
  1. Logistic Regression Theory.srt 17.29 KB
  2. Logistic Regression with Python - Part 1.mp4 49.04 MB
  2. Logistic Regression with Python - Part 1.srt 26.22 KB
  3. Logistic Regression with Python - Part 2.mp4 38.83 MB
  3. Logistic Regression with Python - Part 2.srt 23.79 KB
  4. Logistic Regression with Python - Part 3.mp4 20.02 MB
  4. Logistic Regression with Python - Part 3.srt 11.75 KB
  5. Logistic Regression Project Overview.mp4 6.66 MB
  5. Logistic Regression Project Overview.srt 2.58 KB
  6. Logistic Regression Project Solutions.mp4 36.69 MB
  6. Logistic Regression Project Solutions.srt 14.72 KB
  18. K Nearest Neighbors
  1. KNN Theory.mp4 11.17 MB
  1. KNN Theory.srt 8.01 KB
  2. KNN with Python.mp4 54.68 MB
  2. KNN with Python.srt 26.68 KB
  3. KNN Project Overview.mp4 7.11 MB
  3. KNN Project Overview.srt 2.19 KB
  4. KNN Project Solutions.mp4 70.85 MB
  4. KNN Project Solutions.srt 19.22 KB
  19. Decision Trees and Random Forests
  1. Introduction to Tree Methods.mp4 13.49 MB
  1. Introduction to Tree Methods.srt 9.92 KB
  2. Decision Trees and Random Forest with Python.mp4 49.09 MB
  2. Decision Trees and Random Forest with Python.srt 20.13 KB
  3. Decision Trees and Random Forest Project Overview.mp4 15.43 MB
  3. Decision Trees and Random Forest Project Overview.srt 4.98 KB
  4. Decision Trees and Random Forest Solutions Part 1.mp4 36.72 MB
  4. Decision Trees and Random Forest Solutions Part 1.srt 17.14 KB
  5. Decision Trees and Random Forest Solutions Part 2.mp4 32.3 MB
  5. Decision Trees and Random Forest Solutions Part 2.srt 12.14 KB
  2. Environment Set-Up
  1. Python Environment Setup.mp4 76.35 MB
  1. Python Environment Setup.srt 21.25 KB
  1.1 Py-DS-ML-Bootcamp-master.zip 52.49 MB
  20. Support Vector Machines
  1. SVM Theory.mp4 9.9 MB
  1. SVM Theory.srt 6.55 KB
  2. Support Vector Machines with Python.mp4 56.15 MB
  2. Support Vector Machines with Python.srt 24.79 KB
  3. SVM Project Overview.mp4 11.18 MB
  3. SVM Project Overview.srt 3.77 KB
  4. SVM Project Solutions.mp4 33.57 MB
  4. SVM Project Solutions.srt 13.21 KB
  21. K Means Clustering
  1. K Means Algorithm Theory.mp4 10.99 MB
  1. K Means Algorithm Theory.srt 7.55 KB
  2. K Means with Python.mp4 34.62 MB
  2. K Means with Python.srt 17.37 KB
  3. K Means Project Overview.mp4 11.57 MB
  3. K Means Project Overview.srt 4.79 KB
  4. K Means Project Solutions.mp4 56.73 MB
  4. K Means Project Solutions.srt 22.68 KB
  22. Principal Component Analysis
  1. Principal Component Analysis.mp4 7.12 MB
  1. Principal Component Analysis.srt 4.88 KB
  2. PCA with Python.mp4 49.81 MB
  2. PCA with Python.srt 23.53 KB
  23. Recommender Systems
  1. Recommender Systems.mp4 9.1 MB
  1. Recommender Systems.srt 6.73 KB
  2. Recommender Systems with Python - Part 1.mp4 43.4 MB
  2. Recommender Systems with Python - Part 1.srt 19.44 KB
  3. Recommender Systems with Python - Part 2.mp4 39.41 MB
  3. Recommender Systems with Python - Part 2.srt 17.06 KB
  24. Natural Language Processing
  1. Natural Language Processing Theory.mp4 9.82 MB
  1. Natural Language Processing Theory.srt 6.99 KB
  2. NLP with Python - Part 1.mp4 47.41 MB
  2. NLP with Python - Part 1.srt 22.05 KB
  3. NLP with Python - Part 2.mp4 49.09 MB
  3. NLP with Python - Part 2.srt 25.26 KB
  4. NLP with Python - Part 3.mp4 43.49 MB
  4. NLP with Python - Part 3.srt 23.92 KB
  5. NLP Project Overview.mp4 8.45 MB
  5. NLP Project Overview.srt 3.58 KB
  6. NLP Project Solutions.mp4 57.7 MB
  6. NLP Project Solutions.srt 26.98 KB
  25. Neural Nets and Deep Learning
  1. Download TensorFlow Notebooks Here.html 315 B
  1.1 Slides for Deep Learning Section.html 138 B
  1.2 TensorFlow_FILES.zip 33.05 MB
  10. Cost Functions and Gradient Descent.mp4 75.98 MB
  10. Cost Functions and Gradient Descent.srt 28.84 KB
  11. Backpropagation.mp4 57.95 MB
  11. Backpropagation.srt 21.08 KB
  12. TensorFlow vs Keras.mp4 10.46 MB
  12. TensorFlow vs Keras.srt 3.15 KB
  13. TF Syntax Basics - Part One - Preparing the Data.mp4 50.35 MB
  13. TF Syntax Basics - Part One - Preparing the Data.srt 15.84 KB
  14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 84.31 MB
  14. TF Syntax Basics - Part Two - Creating and Training the Model.srt 21.75 KB
  15. TF Syntax Basics - Part Three - Model Evaluation.mp4 64.78 MB
  15. TF Syntax Basics - Part Three - Model Evaluation.srt 18.43 KB
  16. TF Regression Code Along - Exploratory Data Analysis.mp4 136.96 MB
  16. TF Regression Code Along - Exploratory Data Analysis.srt 27.41 KB
  17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 76.2 MB
  17. TF Regression Code Along - Exploratory Data Analysis - Continued.srt 19.76 KB
  18. TF Regression Code Along - Data Preprocessing and Creating a Model.mp4 47 MB
  18. TF Regression Code Along - Data Preprocessing and Creating a Model.srt 12.99 KB
  19. TF Regression Code Along - Model Evaluation and Predictions.mp4 68.93 MB
  19. TF Regression Code Along - Model Evaluation and Predictions.srt 17.2 KB
  2. Quick Check for Notes.html 164 B
  20. TF Classification Code Along - EDA and Preprocessing.mp4 56.21 MB
  20. TF Classification Code Along - EDA and Preprocessing.srt 12.09 KB
  21. TF Classification - Dealing with Overfitting and Evaluation.mp4 111.33 MB
  21. TF Classification - Dealing with Overfitting and Evaluation.srt 25.79 KB
  22. TensorFlow 2.0 Project Options Overview.mp4 7.86 MB
  22. TensorFlow 2.0 Project Options Overview.srt 2.72 KB
  23. TensorFlow 2.0 Project Notebook Overview.mp4 80.53 MB
  23. TensorFlow 2.0 Project Notebook Overview.srt 12.96 KB
  24. Keras Project Solutions - Dealing with Missing Data.mp4 143.62 MB
  24. Keras Project Solutions - Dealing with Missing Data.srt 30.44 KB
  25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 96.82 MB
  25. Keras Project Solutions - Dealing with Missing Data - Part Two.srt 21.96 KB
  26. Keras Project Solutions - Categorical Data.mp4 85.38 MB
  26. Keras Project Solutions - Categorical Data.srt 18.23 KB
  27. Keras Project Solutions - Data PreProcessing.mp4 124.95 MB
  27. Keras Project Solutions - Data PreProcessing.srt 27.26 KB
  28. Keras Project Solutions - Data PreProcessing.mp4 23.98 MB
  28. Keras Project Solutions - Data PreProcessing.srt 5.6 KB
  29. Keras Project Solutions - Creating and Training a Model.mp4 29.74 MB
  29. Keras Project Solutions - Creating and Training a Model.srt 6.5 KB
  3. Welcome to the Deep Learning Section!.mp4 13.35 MB
  3. Welcome to the Deep Learning Section!.srt 709 B
  30. Keras Project Solutions - Model Evaluation.mp4 63.11 MB
  30. Keras Project Solutions - Model Evaluation.srt 14.53 KB
  31. Tensorboard.mp4 144.18 MB
  31. Tensorboard.srt 30.75 KB
  4. Introduction to Artificial Neural Networks (ANN).mp4 9.66 MB
  4. Introduction to Artificial Neural Networks (ANN).srt 3.48 KB
  5. Installing Tensorflow.html 408 B
  6. Perceptron Model.mp4 48 MB
  6. Perceptron Model.srt 15.44 KB
  7. Neural Networks.mp4 35.92 MB
  7. Neural Networks.srt 11.4 KB
  8. Activation Functions.mp4 62.58 MB
  8. Activation Functions.srt 16.9 KB
  9. Multi-Class Classification Considerations.mp4 46.05 MB
  9. Multi-Class Classification Considerations.srt 16.98 KB
  26. Big Data and Spark with Python
  1. Welcome to the Big Data Section!.mp4 14.24 MB
  1. Welcome to the Big Data Section!.srt 740 B
  10. Lambda Expressions Review.mp4 10.32 MB
  10. Lambda Expressions Review.srt 7.88 KB
  11. Introduction to Spark and Python.mp4 18.09 MB
  11. Introduction to Spark and Python.srt 12.14 KB
  12. RDD Transformations and Actions.mp4 70.81 MB
  12. RDD Transformations and Actions.srt 32.35 KB
  2. Big Data Overview.mp4 11.3 MB
  2. Big Data Overview.srt 7.77 KB
  3. Spark Overview.mp4 17.5 MB
  3. Spark Overview.srt 13.59 KB
  4. Local Spark Set-Up.html 1.62 KB
  5. AWS Account Set-Up.mp4 13.11 MB
  5. AWS Account Set-Up.srt 6.79 KB
  5.1 Amazon Guide to Creating an AWS Account.html 146 B
  6. Quick Note on AWS Security.html 392 B
  7. EC2 Instance Set-Up.mp4 86.53 MB
  7. EC2 Instance Set-Up.srt 25.75 KB
  7.1 Amazon Guide to Using PuTTY for Windows SSH.html 122 B
  8. SSH with Mac or Linux.mp4 10.9 MB
  8. SSH with Mac or Linux.srt 7.95 KB
  8.1 Amazon Guide to SSH with Mac.html 140 B
  9. PySpark Setup.mp4 70.63 MB
  9. PySpark Setup.srt 36.41 KB
  9.1 Step by Step Guide for PySpark Set-up.html 158 B
  27. BONUS SECTION THANK YOU!
  1. Bonus Lecture.html 532 B
  3. Jupyter Overview
  1. Updates to Notebook Zip.html 197 B
  2. Jupyter Notebooks.mp4 37.76 MB
  2. Jupyter Notebooks.srt 22.74 KB
  2.1 Py-DS-ML-Bootcamp-master.zip 52.5 MB
  3. Optional Virtual Environments.mp4 21.79 MB
  3. Optional Virtual Environments.srt 15.39 KB
  3.1 Updated Link to Manage Environments with Conda.html 144 B
  4. Python Crash Course
  1. Welcome to the Python Crash Course Section!.mp4 10.7 MB
  1. Welcome to the Python Crash Course Section!.srt 553 B
  2. Introduction to Python Crash Course.mp4 3.04 MB
  2. Introduction to Python Crash Course.srt 2.28 KB
  3. Python Crash Course - Part 1.mp4 40.15 MB
  3. Python Crash Course - Part 1.srt 27.25 KB
  4. Python Crash Course - Part 2.mp4 32.21 MB
  4. Python Crash Course - Part 2.srt 22.52 KB
  5. Python Crash Course - Part 3.mp4 35.76 MB
  5. Python Crash Course - Part 3.srt 23.24 KB
  6. Python Crash Course - Part 4.mp4 32.56 MB
  6. Python Crash Course - Part 4.srt 21.34 KB
  7. Python Crash Course Exercises - Overview.mp4 12.24 MB
  7. Python Crash Course Exercises - Overview.srt 5.9 KB
  8. Python Crash Course Exercises - Solutions.mp4 34.41 MB
  8. Python Crash Course Exercises - Solutions.srt 16.44 KB
  5. Python for Data Analysis - NumPy
  1. Welcome to the NumPy Section!.mp4 6.99 MB
  1. Welcome to the NumPy Section!.srt 348 B
  2. Introduction to Numpy.mp4 4.73 MB
  2. Introduction to Numpy.srt 3.28 KB
  3. Numpy Arrays.mp4 38.13 MB
  3. Numpy Arrays.srt 22.94 KB
  4. Quick Note on Array Indexing.html 1.03 KB
  5. Numpy Array Indexing.mp4 42.25 MB
  5. Numpy Array Indexing.srt 25.08 KB
  6. Numpy Operations.mp4 30.1 MB
  6. Numpy Operations.srt 10.87 KB
  7. Numpy Exercises Overview.mp4 12.22 MB
  7. Numpy Exercises Overview.srt 4.8 KB
  8. Numpy Exercises Solutions.mp4 46.24 MB
  8. Numpy Exercises Solutions.srt 23.81 KB
  6. Python for Data Analysis - Pandas
  1. Welcome to the Pandas Section!.mp4 9.13 MB
  1. Welcome to the Pandas Section!.srt 469 B
  10. Operations.mp4 27.35 MB
  10. Operations.srt 17.76 KB
  11. Data Input and Output.mp4 44.49 MB
  11. Data Input and Output.srt 21 KB
  2. Introduction to Pandas.mp4 3.53 MB
  2. Introduction to Pandas.srt 2.59 KB
  3. Series.mp4 22.69 MB
  3. Series.srt 15.52 KB
  4. DataFrames - Part 1.mp4 45.61 MB
  4. DataFrames - Part 1.srt 21.33 KB
  5. DataFrames - Part 2.mp4 49.87 MB
  5. DataFrames - Part 2.srt 24.96 KB
  6. DataFrames - Part 3.mp4 24.3 MB
  6. DataFrames - Part 3.srt 12.54 KB
  7. Missing Data.mp4 13.69 MB
  7. Missing Data.srt 8.67 KB
  8. Groupby.mp4 16.7 MB
  8. Groupby.srt 9.98 KB
  9. Merging Joining and Concatenating.mp4 30.38 MB
  9. Merging Joining and Concatenating.srt 13.64 KB
  7. Python for Data Analysis - Pandas Exercises
  1. Note on SF Salary Exercise.html 559 B
  2. SF Salaries Exercise Overview.mp4 8.31 MB
  2. SF Salaries Exercise Overview.srt 3.36 KB
  3. SF Salaries Solutions.mp4 51.79 MB
  3. SF Salaries Solutions.srt 20.72 KB
  4. Ecommerce Purchases Exercise Overview.mp4 8.79 MB
  4. Ecommerce Purchases Exercise Overview.srt 3.82 KB
  5. Ecommerce Purchases Exercise Solutions.mp4 52.02 MB
  5. Ecommerce Purchases Exercise Solutions.srt 21.34 KB
  8. Python for Data Visualization - Matplotlib
  1. Welcome to the Data Visualization Section!.mp4 14.25 MB
  1. Welcome to the Data Visualization Section!.srt 748 B
  2. Introduction to Matplotlib.mp4 16.34 MB
  2. Introduction to Matplotlib.srt 5.23 KB
  3. Matplotlib Part 1.mp4 41.63 MB
  3. Matplotlib Part 1.srt 25.06 KB
  4. Matplotlib Part 2.mp4 35.46 MB
  4. Matplotlib Part 2.srt 21.51 KB
  5. Matplotlib Part 3.mp4 31.9 MB
  5. Matplotlib Part 3.srt 17.69 KB
  6. Matplotlib Exercises Overview.mp4 7.72 MB
  6. Matplotlib Exercises Overview.srt 2.63 KB
  7. Matplotlib Exercises - Solutions.mp4 32.8 MB
  7. Matplotlib Exercises - Solutions.srt 12.87 KB
  9. Python for Data Visualization - Seaborn
  1. Introduction to Seaborn.mp4 11.59 MB
  1. Introduction to Seaborn.srt 4.46 KB
  1.1 Link to Seaborn Documentation (updated).html 87 B
  2. Distribution Plots.mp4 61.74 MB
  2. Distribution Plots.srt 28.46 KB
  3. Categorical Plots.mp4 44.38 MB
  3. Categorical Plots.srt 25.95 KB
  4. Matrix Plots.mp4 25.41 MB
  4. Matrix Plots.srt 14.54 KB
  5. Grids.mp4 23.94 MB
  5. Grids.srt 12.73 KB
  6. Regression Plots.mp4 18.03 MB
  6. Regression Plots.srt 10.26 KB
  7. Style and Color.mp4 22.69 MB
  7. Style and Color.srt 12.23 KB
  8. Seaborn Exercise Overview.mp4 8.25 MB
  8. Seaborn Exercise Overview.srt 2.91 KB
  9. Seaborn Exercise Solutions.mp4 24.23 MB
  9. Seaborn Exercise Solutions.srt 10.17 KB
  Verify Files.txt 1.03 KB
  [FreeAllCourse.Com].url 52 B
  ▲ 336 total files

Description


Python for Data Science and Machine Learning Bootcamp



Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!

For More Free Udemy Courses Visit: FreeAllCourse.Com

What you'll learn?

# Use Python for Data Science and Machine Learning
# Use Spark for Big Data Analysis
# Implement Machine Learning Algorithms
# Learn to use NumPy for Numerical Data
# Learn to use Pandas for Data Analysis
# Learn to use Matplotlib for Python Plotting
# Learn to use Seaborn for statistical plots
# Use Plotly for interactive dynamic visualizations
# Use SciKit-Learn for Machine Learning Tasks
# K-Means Clustering
# Logistic Regression
# Linear Regression
# Random Forest and Decision Trees
# Natural Language Processing and Spam Filters
# Neural Networks
# Support Vector Machines

Requirements:

# Some programming experience
# Admin permissions to download files

Description:

Created by Jose Portilla
Last updated 6/2020
Audio: English
Caption: English

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