Udemy - Complete Python Data Science, Deep Learning, R Programmin...

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  • Language English
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Udemy - Complete Python Data Science, Deep Learning, R Programming

Python Data Science A-Z, Data Science with Machine Learning A-Z, Deep Learning A-Z, Pandas, Numpy and R Statistics.

Created by Oak Academy, OAK Academy Team
Last updated 8/2023
English
English [Auto]

Files:

[FreeCourseSite.com] Udemy - Complete Python Data Science, Deep Learning, R Programming 0. Websites you may like
  • [CourseClub.Me].url (0.1 KB)
  • [FreeCourseSite.com].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)
1. Introduction to Complete Data Science, Deep Learning, R Data Science 2021
  • 1. Be Smart and Use Data But How Answer is Data Science with Python.mp4 (13.7 MB)
  • 1. Be Smart and Use Data But How Answer is Data Science with Python.srt (5.5 KB)
  • 2. Project Files and Course Documents Data Science, Python data science.html (0.4 KB)
  • 3. FAQ about Complete data science with R, deep learning, machine learning.html (20.0 KB)
10. Seaborn 0. Websites you may like
  • [CourseClub.Me].url (0.1 KB)
  • [FreeCourseSite.com].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)
  • 1. What is Seaborn.mp4 (12.9 MB)
  • 1. What is Seaborn.srt (5.0 KB)
  • 2. Controlling Figure Aesthetics in Seaborn.mp4 (39.2 MB)
  • 2. Controlling Figure Aesthetics in Seaborn.srt (10.8 KB)
  • 3. Example in Seaborn.mp4 (51.4 MB)
  • 3. Example in Seaborn.srt (9.6 KB)
  • 3.1 scores.csv (1.4 KB)
  • 4. Color Palettes in Seaborn.mp4 (45.4 MB)
  • 4. Color Palettes in Seaborn.srt (14.5 KB)
  • 4.1 flight_details.csv (2.3 KB)
  • 5. Basic Plots in Seaborn.mp4 (92.8 MB)
  • 5. Basic Plots in Seaborn.srt (22.3 KB)
  • 5.1 basic_details.csv (0.1 KB)
  • 5.2 movie_scores.csv (0.2 KB)
  • 5.3 salary.csv (3.3 MB)
  • 5.4 scores.csv (1.4 KB)
  • 5.5 youtube.csv (0.7 KB)
  • 6. Multi-Plots in Seaborn.mp4 (40.9 MB)
  • 6. Multi-Plots in Seaborn.srt (10.7 KB)
  • 7. Regression Plots and Squarify in Seaborn.mp4 (56.5 MB)
  • 7. Regression Plots and Squarify in Seaborn.srt (15.5 KB)
  • 7.1 age_data.csv (661.5 KB)
  • 7.2 water_usage.csv (0.1 KB)
  • 8. Quiz.html (0.2 KB)
    • 11. Geoplotlib
    • 1. What is Geoplotlib.mp4 (32.2 MB)
    • 1. What is Geoplotlib.srt (10.2 KB)
    • 2. Example - 1.mp4 (36.4 MB)
    • 2. Example - 1.srt (9.6 KB)
    • 2.1 poaching_points_cleaned.csv (24.2 KB)
    • 3. Example - 2.mp4 (76.3 MB)
    • 3. Example - 2.srt (18.5 KB)
    • 3.1 world_cities_pop.csv (156.7 MB)
    • 4. Example - 3.mp4 (47.8 MB)
    • 4. Example - 3.srt (11.4 KB)
    • 5. Quiz.html (0.2 KB)
    12. Data Science Hands-On Projects
    • 1. Analyse Data With Different Data Sets Titanic Project.mp4 (10.0 MB)
    • 1. Analyse Data With Different Data Sets Titanic Project.srt (4.3 KB)
    • 1.1 Project - I - Questions.txt (0.8 KB)
    • 1.2 Titanic.csv (57.4 KB)
    • 2. Titanic Project Answers in python projects.mp4 (89.0 MB)
    • 2. Titanic Project Answers in python projects.srt (21.4 KB)
    • 3. Project II Bike Sharing.mp4 (13.7 MB)
    • 3. Project II Bike Sharing.srt (4.9 KB)
    • 3.1 Bike_Share_London.csv (368.5 KB)
    • 3.2 Project - II - Questions.txt (0.9 KB)
    • 4. Bike Sharing Project Answers.mp4 (147.3 MB)
    • 4. Bike Sharing Project Answers.srt (30.0 KB)
    • 5. Project III Housing and Property Sales.mp4 (10.3 MB)
    • 5. Project III Housing and Property Sales.srt (3.6 KB)
    • 5.1 House Sales.csv (1.2 MB)
    • 5.2 Project - III - Questions.txt (0.7 KB)
    • 6. Answer for Housing and Property Sales Project.mp4 (155.0 MB)
    • 6. Answer for Housing and Property Sales Project.srt (28.4 KB)
    • 7. Project IV English Premier League.mp4 (13.5 MB)
    • 7. Project IV English Premier League.srt (4.8 KB)
    • 7.1 2006-2018 EPL stats.csv (53.9 KB)
    • 7.2 Project - IV - Questions.txt (1.0 KB)
    • 8. Answers for English Premier League Project.mp4 (153.6 MB)
    • 8. Answers for English Premier League Project.srt (28.1 KB)
    13. Machine Learning
    • 1. AI, Machine Learning and Deep Learning.mp4 (16.2 MB)
    • 1. AI, Machine Learning and Deep Learning.srt (5.5 KB)
    • 10. Supervised Machine Learning Methods - 3.mp4 (56.1 MB)
    • 10. Supervised Machine Learning Methods - 3.srt (15.8 KB)
    • 11. Supervised Machine Learning Methods - 4.mp4 (70.3 MB)
    • 11. Supervised Machine Learning Methods - 4.srt (18.8 KB)
    • 12. Unsupervised Machine Learning Methods.mp4 (87.9 MB)
    • 12. Unsupervised Machine Learning Methods.srt (26.6 KB)
    • 13. Gathering data in Deep learning.mp4 (17.6 MB)
    • 13. Gathering data in Deep learning.srt (5.6 KB)
    • 14. Data pre-processing in Deep learning.mp4 (26.0 MB)
    • 14. Data pre-processing in Deep learning.srt (6.3 KB)
    • 15. Choosing the right algorithm and model in deep learning.mp4 (148.9 MB)
    • 15. Choosing the right algorithm and model in deep learning.srt (8.9 KB)
    • 16. Training and testing the model.mp4 (84.0 MB)
    • 16. Training and testing the model.srt (6.2 KB)
    • 17. Evaluation in deep learning.mp4 (24.4 MB)
    • 17. Evaluation in deep learning.srt (7.4 KB)
    • 18. Quiz Python, Data Science, Machine learning, Deep learning.html (0.2 KB)
    • 19. Quiz.html (0.2 KB)
    • 2. History of Machine Learning.mp4 (23.9 MB)
    • 2. History of Machine Learning.srt (7.7 KB)
    • 3. Turing Machine and Turing Test.mp4 (40.9 MB)
    • 3. Turing Machine and Turing Test.srt (13.3 KB)
    • 4. What is Deep Learning.mp4 (20.5 MB)
    • 4. What is Deep Learning.srt (7.1 KB)
    • 5. Learning representations from data.mp4 (34.9 MB)
    • 5. Learning representations from data.srt (13.4 KB)
    • 6. Workflow of Machine Learning.mp4 (31.7 MB)
    • 6. Workflow of Machine Learning.srt (10.7 KB)
    • 7. Machine Learning Methods.mp4 (45.5 MB)
    • 7. Machine Learning Methods.srt (16.1 KB)
    • 8. Supervised Machine Learning Methods - 1.mp4 (30.9 MB)
    • 8. Supervised Machine Learning Methods - 1.srt (10.4 KB)
    • 9. Supervised Machine Learning Methods - 2.mp4 (55.4 MB)
    • 9. Supervised Machine Learning Methods - 2.srt (15.2 KB)
    14. Artificial Neural Network
    • 1. What is Artificial Neural Network (ANN).mp4 (23.0 MB)
    • 1. What is Artificial Neural Network (ANN).srt (8.1 KB)
    • 2. Anatomy of Neural Network in Artificial intelligence.mp4 (42.3 MB)
    • 2. Anatomy of Neural Network in Artificial intelligence.srt (10.4 KB)
    • 3. Creating a Simple ANN in Artificial intelligence.mp4 (79.5 MB)
    • 3. Creating a Simple ANN in Artificial intelligence.srt (14.5 KB)
    • 4. Tensor Operations in Artificial intelligence.mp4 (62.1 MB)
    • 4. Tensor Operations in Artificial intelligence.srt (10.9 KB)
    • 5. Tensor Operations 2.mp4 (29.8 MB)
    • 5. Tensor Operations 2.srt (7.9 KB)
    • 6. Keras API in Artificial intelligence.mp4 (23.3 MB)
    • 6. Keras API in Artificial intelligence.srt (8.0 KB)
    • 7. Optimizers in Artificial intelligence.mp4 (42.3 MB)
    • 7. Optimizers in Artificial intelligence.srt (11.9 KB)
    • 8. What is TensorFlow.mp4 (62.6 MB)
    • 8. What is TensorFlow.srt (20.1 KB)
    • 9. Quiz.html (0.2 KB)
    15. Convolutional Neural Network (CNN)
    • 1. What is CNN.mp4 (72.4 MB)
    • 1. What is CNN.srt (17.2 KB)
    • 2. Quiz.html (0.2 KB)
    16. Recurrent Neural Network and LTSM 0. Websites you may like
    • [CourseClub.Me].url (0.1 KB)
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    • 1. Understanding RNN and LSTM Networks.mp4 (50.9 MB)
    • 1. Understanding RNN and LSTM Networks.srt (14.6 KB)
    • 2. Quiz.html (0.2 KB)
      • 17. Transfer Learning
      • 1. What is Transfer Learning.mp4 (85.3 MB)
      • 1. What is Transfer Learning.srt (18.7 KB)
      • 2. Quiz Machine Learnig, Deep Learning.html (0.2 KB)
      18. Projects Python projects, Data science projects, machine learning 0. Websites you may like
      • [CourseClub.Me].url (0.1 KB)
      • [FreeCourseSite.com].url (0.1 KB)
      • [GigaCourse.Com].url (0.0 KB)
      • 1. Project - 1.mp4 (101.6 MB)
      • 1. Project - 1.srt (20.0 KB)
      • 2. Project - 2.mp4 (169.3 MB)
      • 2. Project - 2.srt (20.8 KB)
      • 3. Project - 3.mp4 (82.4 MB)
      • 3. Project - 3.srt (14.9 KB)
      • 4. Project - 4.mp4 (72.3 MB)
      • 4. Project - 4.srt (14.6 KB)
        • 19. Environment Installation for R
        • 1. Downloading and Installing R & R Studio.mp4 (25.0 MB)
        • 1. Downloading and Installing R & R Studio.srt (4.4 KB)
        • 2. R Console Versus R Studio.mp4 (22.0 MB)
        • 2. R Console Versus R Studio.srt (5.2 KB)
        2. Setting Up Python for Mac and Windows Python Data Science
        • 1. Installing Anaconda for Windows.mp4 (40.1 MB)
        • 1. Installing Anaconda for Windows.srt (6.0 KB)
        • 2. Installing Anaconda for Mac, Python Data Science.mp4 (53.0 MB)
        • 2. Installing Anaconda for Mac, Python Data Science.srt (6.2 KB)
        • 3. Let's Meet Jupyter Notebook for Windows.mp4 (25.4 MB)
        • 3. Let's Meet Jupyter Notebook for Windows.srt (5.7 KB)
        • 4. Basics of Jupyter Notebook for Mac.mp4 (14.8 MB)
        • 4. Basics of Jupyter Notebook for Mac.srt (2.6 KB)
        20. Data Management in R
        • 1. Getting Data into R.mp4 (36.8 MB)
        • 1. Getting Data into R.srt (7.2 KB)
        • 2. Data Manipulation in R.mp4 (54.9 MB)
        • 2. Data Manipulation in R.srt (9.1 KB)
        • 3. Graphs and Charts in Python data science.mp4 (139.9 MB)
        • 3. Graphs and Charts in Python data science.srt (19.2 KB)
        • 4. quiz.html (0.2 KB)
        21. Examining and Managing Data Structures in R
        • 1. Vector Basics in R.mp4 (42.0 MB)
        • 1. Vector Basics in R.srt (5.4 KB)
        • 2. Atomic Vector Types in R.mp4 (24.1 MB)
        • 2. Atomic Vector Types in R.srt (3.4 KB)
        • 3. Converting Data Types of Atomic Vectors in R.mp4 (32.2 MB)
        • 3. Converting Data Types of Atomic Vectors in R.srt (3.5 KB)
        • 4. Test Functions in R.mp4 (13.0 MB)
        • 4. Test Functions in R.srt (1.3 KB)
        • 5. Vector Recycling and Iterations in R.mp4 (34.5 MB)
        • 5. Vector Recycling and Iterations in R.srt (4.6 KB)
        • 6. Naming Vectors in R.mp4 (34.2 MB)
        • 6. Naming Vectors in R.srt (4.3 KB)
        • 7. Subsetting Vectors in R.mp4 (46.2 MB)
        • 7. Subsetting Vectors in R.srt (5.5 KB)
        22. Lists in R
        • 1. Lists in R.mp4 (43.3 MB)
        • 1. Lists in R.srt (5.7 KB)
        23. Arrays in R
        • 1. Arrays in r programming.mp4 (28.0 MB)
        • 1. Arrays in r programming.srt (4.5 KB)
        • 2. Subsections of an Array in r programming.mp4 (68.4 MB)
        • 2. Subsections of an Array in r programming.srt (8.3 KB)
        24. Matrices in R programming
        • 1. Matrices in R programming.mp4 (50.0 MB)
        • 1. Matrices in R programming.srt (6.6 KB)
        • 2. Naming Matrix Row and Columns in R programming.mp4 (48.1 MB)
        • 2. Naming Matrix Row and Columns in R programming.srt (5.2 KB)
        • 3. Calculating With Matrices in Python Data science.mp4 (59.1 MB)
        • 3. Calculating With Matrices in Python Data science.srt (6.1 KB)
        25. Data Frames
        • 1. Introduction to Data Frames.mp4 (71.0 MB)
        • 1. Introduction to Data Frames.srt (6.7 KB)
        • 2. Naming Variables and Observations in DF.mp4 (27.5 MB)
        • 2. Naming Variables and Observations in DF.srt (2.1 KB)
        • 3. Manipulating Values in DF.mp4 (145.3 MB)
        • 3. Manipulating Values in DF.srt (13.8 KB)
        • 4. Adding and Removing Variables in R Programming.mp4 (41.5 MB)
        • 4. Adding and Removing Variables in R Programming.srt (3.8 KB)
        • 5. Tibbles in R.mp4 (83.7 MB)
        • 5. Tibbles in R.srt (8.6 KB)
        26. Factors in R
        • 1. Introduction to Factors in R.mp4 (34.6 MB)
        • 1. Introduction to Factors in R.srt (4.6 KB)
        • 2. Manipulating Categorical Data with Forcats in R.mp4 (132.7 MB)
        • 2. Manipulating Categorical Data with Forcats in R.srt (11.9 KB)
        27. Data Transformation in R
        • 1. Introduction to Data Transformation.mp4 (76.2 MB)
        • 1. Introduction to Data Transformation.srt (8.5 KB)
        • 2. Select Columns with Select Function in R programming.mp4 (60.6 MB)
        • 2. Select Columns with Select Function in R programming.srt (6.9 KB)
        • 3. Filtering Rows with Filter Function in R programming.mp4 (169.7 MB)
        • 3. Filtering Rows with Filter Function in R programming.srt (15.1 KB)
        • 4. Arranging Rows with Arrange Function in R.mp4 (129.4 MB)
        • 4. Arranging Rows with Arrange Function in R.srt (12.1 KB)
        • 5. Adding New Variables with Mutate Function in R.mp4 (63.1 MB)
        • 5. Adding New Variables with Mutate Function in R.srt (6.8 KB)
        • 6. Grouped Summaries with Summarize Function in R.mp4 (148.6 MB)
        • 6. Grouped Summaries with Summarize Function in R.srt (17.6 KB)
        28. Extra
        • 1. Complete Python Data Science, Deep Learning, R Programming.html (0.3 KB)
        3. Fundamentals of Python 0. Websites you may like
        • [CourseClub.Me].url (0.1 KB)
        • [FreeCourseSite.com].url (0.1 KB)
        • [GigaCourse.Com].url (0.0 KB)
        • 1. Data Types in Python.mp4 (41.1 MB)
        • 1. Data Types in Python.srt (13.5 KB)
        • 10. Exercise Solution in Python.mp4 (47.7 MB)
        • 10. Exercise Solution in Python.srt (6.3 KB)
        • 11. Quiz.html (0.2 KB)
        • 2. Operators in Python.mp4 (29.6 MB)
        • 2. Operators in Python.srt (10.6 KB)
        • 3. Conditionals in Python.mp4 (34.6 MB)
        • 3. Conditionals in Python.srt (9.6 KB)
        • 4. Loops in Python.mp4 (49.1 MB)
        • 4. Loops in Python.srt (11.9 KB)
        • 5. Lists, Tuples, Dictionaries and Sets in Python.mp4 (66.3 MB)
        • 5. Lists, Tuples, Dictionaries and Sets in Python.srt (17.4 KB)
        • 6. Data Type Operators and Methods in Python.mp4 (40.5 MB)
        • 6. Data Type Operators and Methods in Python.srt (8.9 KB)
        • 7. Modules in Python.mp4 (21.1 MB)
        • 7. Modules in Python.srt (5.3 KB)
        • 8. Functions in Python.mp4 (26.1 MB)
        • 8. Functions in Python.srt (8.9 KB)
        • 9. Exercise Analyse in Python.mp4 (5.7 MB)
        • 9. Exercise Analyse in Python.srt (2.2 KB)
          • 4. Object Oriented Programming
          • 1. Logic of Object Oriented Programming.mp4 (16.4 MB)
          • 1. Logic of Object Oriented Programming.srt (5.1 KB)
          • 2. Constructor in Object Oriented Programming.mp4 (33.9 MB)
          • 2. Constructor in Object Oriented Programming.srt (6.8 KB)
          • 3. Methods in Object Oriented Programming.mp4 (23.6 MB)
          • 3. Methods in Object Oriented Programming.srt (4.1 KB)
          • 4. Inheritance in Object Oriented Programming.mp4 (32.6 MB)
          • 4. Inheritance in Object Oriented Programming.srt (6.7 KB)
          • 5. Overriding and Overloading in OOP.mp4 (58.9 MB)
          • 5. Overriding and Overloading in OOP.srt (9.3 KB)
          • 6. Quiz Python data science, R programming.html (0.2 KB)
          5. Python For Data Science Data Science
          • 1. What Is Data Science.mp4 (20.2 MB)
          • 1. What Is Data Science.srt (6.5 KB)
          • 2. Data Literacy.mp4 (9.8 MB)
          • 2. Data Literacy.srt (3.3 KB)
          • 3. Quiz Data Science, Python Data Science.html (0.2 KB)
          6. Using Numpy for Data Manipulation
          • 1. What is Numpy.mp4 (26.7 MB)
          • 1. What is Numpy.srt (7.3 KB)
          • 2. Array and Features in Numpy Python.mp4 (47.9 MB)
          • 2. Array and Features in Numpy Python.srt (11.4 KB)
          • 3. Array Operators in Numpy.mp4 (17.6 MB)
          • 3. Array Operators in Numpy.srt (4.2 KB)
          • 4. Indexing and Slicing in Numpy Python.mp4 (40.4 MB)
          • 4. Indexing and Slicing in Numpy Python.srt (8.6 KB)
          • 5. Numpy Exercises.mp4 (74.2 MB)
          • 5. Numpy Exercises.srt (14.7 KB)
          • 6. Quiz.html (0.2 KB)
          7. Pandas Using Pandas for Data Manipulation
          • 1. What is Pandas.mp4 (20.1 MB)
          • 1. What is Pandas.srt (6.3 KB)
          • 2. Series and Features.mp4 (74.3 MB)
          • 2. Series and Features.srt (18.7 KB)
          8. Data Frame with Pandas
          • 1. Data Frame Attributes and Methods.mp4 (79.8 MB)
          • 1. Data Frame Attributes and Methods.srt (15.4 KB)
          • 10. Combining Data Frames Part – II.mp4 (84.2 MB)
          • 10. Combining Data Frames Part – II.srt (17.2 KB)
          • 11. Work with Dataset Files in Pandas.mp4 (70.8 MB)
          • 11. Work with Dataset Files in Pandas.srt (11.6 KB)
          • 12. Quiz.html (0.2 KB)
          • 2. Data Frame Attributes and Methods Part – II.mp4 (57.0 MB)
          • 2. Data Frame Attributes and Methods Part – II.srt (11.2 KB)
          • 3. Data Frame Attributes and Methods Part – III.mp4 (48.0 MB)
          • 3. Data Frame Attributes and Methods Part – III.srt (9.3 KB)
          • 4. Multi Index in Pandas.mp4 (50.8 MB)
          • 4. Multi Index in Pandas.srt (11.9 KB)
          • 5. Groupby Operations in Pandas.mp4 (52.6 MB)
          • 5. Groupby Operations in Pandas.srt (12.2 KB)
          • 6. Missing Data and Data Munging in Pandas.mp4 (79.3 MB)
          • 6. Missing Data and Data Munging in Pandas.srt (21.9 KB)
          • 7. Missing Data and Data Munging Part II.mp4 (40.8 MB)
          • 7. Missing Data and Data Munging Part II.srt (10.7 KB)
          • 8. How We Deal with Missing Data.mp4 (69.2 MB)
          • 8. How We Deal with Missing Data.srt (15.5 KB)
          • 9. Combining Data Frames in Pandas.mp4 (103.6 MB)
          • 9. Combining Data Frames in Pandas.srt (17.1 KB)
          9. Matplotlib
          • 1. What is Matplotlib.mp4 (17.9 MB)
          • 1. What is Matplotlib.srt (3.5 KB)
          • 10. Quiz.html (0.2 KB)
          • 2. Using Matplotlib.mp4 (26.5 MB)
          • 2. Using Matplotlib.srt (7.5 KB)
          • 3. Pyplot – Pylab - Matplotlib.mp4 (26.6 MB)
          • 3. Pyplot – Pylab - Matplotlib.srt (7.2 KB)
          • 4. Figure, Subplot and Axes in Matplotlib.mp4 (65.7 MB)
          • 4. Figure, Subplot and Axes in Matplotlib.srt (17.3 KB)
          • 5. Figure Customization in Matplotlib.mp4 (59.1 MB)
          • 5. Figure Customization in Matplotlib.srt (13.9 KB)
          • 6. Plot Customization in matplotlib.mp4 (25.8 MB)
          • 6. Plot Customization in matplotlib.srt (6.6 KB)
          • 7. Grid, Spines, Ticks in python.mp4 (22.4 MB)
          • 7. Grid, Spines, Ticks in python.srt (8.1 KB)
          • 8. Basic Plots in Matplotlib I.mp4 (104.4 MB)
          • 8. Basic Plots in Matplotlib I.srt (30.3 KB)
          • 8.1 age_data.csv (661.5 KB)
          • 8.2 scatter_ex.xlsx (11.3 KB)
          • 9. Basic Plots in Matplotlib II.mp4 (51.5 MB)
          • 9. Basic Plots in Matplotlib II.srt (15.6 KB)
          • 9.1 winequality.csv (82.2 KB)

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