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Language:
English
Total Size:
7.1 GB
Info Hash:
B23D33BECE7E1E16B79E55267F454BB3FB475B70
Added By:
Added:
Aug. 30, 2023, 11:40 a.m.
Stats:
|
(Last updated: May 14, 2025, 6:41 p.m.)
| File | Size |
|---|---|
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 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 | 457 bytes |
| 3. FAQ about Complete data science with R, deep learning, machine learning.html | 20.0 KB |
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 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 | 145 bytes |
| 5.2 movie_scores.csv | 165 bytes |
| 5.3 salary.csv | 3.3 MB |
| 5.4 scores.csv | 1.4 KB |
| 5.5 youtube.csv | 714 bytes |
| 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 | 94 bytes |
| 8. Quiz.html | 166 bytes |
| 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 | 166 bytes |
| 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 | 823 bytes |
| 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 | 906 bytes |
| 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 | 737 bytes |
| 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 |
| 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 | 166 bytes |
| 19. Quiz.html | 166 bytes |
| 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 |
| 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 | 166 bytes |
| 1. What is CNN.mp4 | 72.4 MB |
| 1. What is CNN.srt | 17.2 KB |
| 2. Quiz.html | 166 bytes |
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 1. Understanding RNN and LSTM Networks.mp4 | 50.9 MB |
| 1. Understanding RNN and LSTM Networks.srt | 14.6 KB |
| 2. Quiz.html | 166 bytes |
| 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 | 166 bytes |
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 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 |
| 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 |
| 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 |
| 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 | 166 bytes |
| 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 |
| 1. Lists in R.mp4 | 43.3 MB |
| 1. Lists in R.srt | 5.7 KB |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 1. Complete Python Data Science, Deep Learning, R Programming.html | 266 bytes |
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 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 | 166 bytes |
| 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 |
| 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 | 166 bytes |
| 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 | 166 bytes |
| 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 | 166 bytes |
| 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 |
| 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 | 166 bytes |
| 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 |
| 1. What is Matplotlib.mp4 | 17.9 MB |
| 1. What is Matplotlib.srt | 3.5 KB |
| 10. Quiz.html | 166 bytes |
| 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 |
Name
DL
Uploader
Size
S/L
Added
-
713.3 MB
[0
/
3]
2025-02-21
| Uploaded by freecoursewb | Size 713.3 MB | Health [ 0 /3 ] | Added 2025-02-21 |
-
1.8 GB
[72
/
10]
2025-01-13
| Uploaded by FreeCourseWeb | Size 1.8 GB | Health [ 72 /10 ] | Added 2025-01-13 |
NOTE
SOURCE: Udemy Complete Python Data Science Deep Learning R Programming
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