[FreeCourseSite.com] Udemy - Complete Python Data Science, Deep Learning, R Programming

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27. Data Transformation in R/3. Filtering Rows with Filter Function in R programming.mp4 169.7 MB
18. Projects Python projects, Data science projects, machine learning/2. Project - 2.mp4 169.3 MB
11. Geoplotlib/3.1 world_cities_pop.csv 156.7 MB
12. Data Science Hands-On Projects/6. Answer for Housing and Property Sales Project.mp4 155.0 MB
12. Data Science Hands-On Projects/8. Answers for English Premier League Project.mp4 153.6 MB
13. Machine Learning/15. Choosing the right algorithm and model in deep learning.mp4 148.9 MB
27. Data Transformation in R/6. Grouped Summaries with Summarize Function in R.mp4 148.6 MB
12. Data Science Hands-On Projects/4. Bike Sharing Project Answers.mp4 147.3 MB
25. Data Frames/3. Manipulating Values in DF.mp4 145.3 MB
20. Data Management in R/3. Graphs and Charts in Python data science.mp4 139.9 MB
26. Factors in R/2. Manipulating Categorical Data with Forcats in R.mp4 132.7 MB
27. Data Transformation in R/4. Arranging Rows with Arrange Function in R.mp4 129.4 MB
9. Matplotlib/8. Basic Plots in Matplotlib I.mp4 104.4 MB
8. Data Frame with Pandas/9. Combining Data Frames in Pandas.mp4 103.6 MB
18. Projects Python projects, Data science projects, machine learning/1. Project - 1.mp4 101.6 MB
10. Seaborn/5. Basic Plots in Seaborn.mp4 92.8 MB
12. Data Science Hands-On Projects/2. Titanic Project Answers in python projects.mp4 89.0 MB
13. Machine Learning/12. Unsupervised Machine Learning Methods.mp4 87.9 MB
17. Transfer Learning/1. What is Transfer Learning.mp4 85.3 MB
8. Data Frame with Pandas/10. Combining Data Frames Part – II.mp4 84.2 MB
13. Machine Learning/16. Training and testing the model.mp4 84.0 MB
25. Data Frames/5. Tibbles in R.mp4 83.7 MB
18. Projects Python projects, Data science projects, machine learning/3. Project - 3.mp4 82.4 MB
8. Data Frame with Pandas/1. Data Frame Attributes and Methods.mp4 79.8 MB
14. Artificial Neural Network/3. Creating a Simple ANN in Artificial intelligence.mp4 79.5 MB
8. Data Frame with Pandas/6. Missing Data and Data Munging in Pandas.mp4 79.3 MB
11. Geoplotlib/3. Example - 2.mp4 76.3 MB
27. Data Transformation in R/1. Introduction to Data Transformation.mp4 76.2 MB
7. Pandas Using Pandas for Data Manipulation/2. Series and Features.mp4 74.3 MB
6. Using Numpy for Data Manipulation/5. Numpy Exercises.mp4 74.2 MB
15. Convolutional Neural Network (CNN)/1. What is CNN.mp4 72.4 MB
18. Projects Python projects, Data science projects, machine learning/4. Project - 4.mp4 72.3 MB
25. Data Frames/1. Introduction to Data Frames.mp4 71.0 MB
8. Data Frame with Pandas/11. Work with Dataset Files in Pandas.mp4 70.8 MB
13. Machine Learning/11. Supervised Machine Learning Methods - 4.mp4 70.3 MB
8. Data Frame with Pandas/8. How We Deal with Missing Data.mp4 69.2 MB
23. Arrays in R/2. Subsections of an Array in r programming.mp4 68.4 MB
3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets in Python.mp4 66.3 MB
9. Matplotlib/4. Figure, Subplot and Axes in Matplotlib.mp4 65.7 MB
27. Data Transformation in R/5. Adding New Variables with Mutate Function in R.mp4 63.1 MB
14. Artificial Neural Network/8. What is TensorFlow.mp4 62.6 MB
14. Artificial Neural Network/4. Tensor Operations in Artificial intelligence.mp4 62.1 MB
27. Data Transformation in R/2. Select Columns with Select Function in R programming.mp4 60.6 MB
24. Matrices in R programming/3. Calculating With Matrices in Python Data science.mp4 59.1 MB
9. Matplotlib/5. Figure Customization in Matplotlib.mp4 59.1 MB
4. Object Oriented Programming/5. Overriding and Overloading in OOP.mp4 58.9 MB
8. Data Frame with Pandas/2. Data Frame Attributes and Methods Part – II.mp4 57.0 MB
10. Seaborn/7. Regression Plots and Squarify in Seaborn.mp4 56.5 MB
13. Machine Learning/10. Supervised Machine Learning Methods - 3.mp4 56.1 MB
13. Machine Learning/9. Supervised Machine Learning Methods - 2.mp4 55.4 MB
20. Data Management in R/2. Data Manipulation in R.mp4 54.9 MB
2. Setting Up Python for Mac and Windows Python Data Science/2. Installing Anaconda for Mac, Python Data Science.mp4 53.0 MB
8. Data Frame with Pandas/5. Groupby Operations in Pandas.mp4 52.6 MB
9. Matplotlib/9. Basic Plots in Matplotlib II.mp4 51.5 MB
10. Seaborn/3. Example in Seaborn.mp4 51.4 MB
16. Recurrent Neural Network and LTSM/1. Understanding RNN and LSTM Networks.mp4 50.9 MB
8. Data Frame with Pandas/4. Multi Index in Pandas.mp4 50.8 MB
24. Matrices in R programming/1. Matrices in R programming.mp4 50.0 MB
3. Fundamentals of Python/4. Loops in Python.mp4 49.1 MB
24. Matrices in R programming/2. Naming Matrix Row and Columns in R programming.mp4 48.1 MB
8. Data Frame with Pandas/3. Data Frame Attributes and Methods Part – III.mp4 48.0 MB
6. Using Numpy for Data Manipulation/2. Array and Features in Numpy Python.mp4 47.9 MB
11. Geoplotlib/4. Example - 3.mp4 47.8 MB
3. Fundamentals of Python/10. Exercise Solution in Python.mp4 47.7 MB
21. Examining and Managing Data Structures in R/7. Subsetting Vectors in R.mp4 46.2 MB
13. Machine Learning/7. Machine Learning Methods.mp4 45.5 MB
10. Seaborn/4. Color Palettes in Seaborn.mp4 45.4 MB
22. Lists in R/1. Lists in R.mp4 43.3 MB
14. Artificial Neural Network/7. Optimizers in Artificial intelligence.mp4 42.3 MB
14. Artificial Neural Network/2. Anatomy of Neural Network in Artificial intelligence.mp4 42.3 MB
21. Examining and Managing Data Structures in R/1. Vector Basics in R.mp4 42.0 MB
25. Data Frames/4. Adding and Removing Variables in R Programming.mp4 41.5 MB
3. Fundamentals of Python/1. Data Types in Python.mp4 41.1 MB
10. Seaborn/6. Multi-Plots in Seaborn.mp4 40.9 MB
13. Machine Learning/3. Turing Machine and Turing Test.mp4 40.9 MB
8. Data Frame with Pandas/7. Missing Data and Data Munging Part II.mp4 40.8 MB
3. Fundamentals of Python/6. Data Type Operators and Methods in Python.mp4 40.5 MB
6. Using Numpy for Data Manipulation/4. Indexing and Slicing in Numpy Python.mp4 40.4 MB
2. Setting Up Python for Mac and Windows Python Data Science/1. Installing Anaconda for Windows.mp4 40.1 MB
10. Seaborn/2. Controlling Figure Aesthetics in Seaborn.mp4 39.2 MB
20. Data Management in R/1. Getting Data into R.mp4 36.8 MB
11. Geoplotlib/2. Example - 1.mp4 36.4 MB
13. Machine Learning/5. Learning representations from data.mp4 34.9 MB
3. Fundamentals of Python/3. Conditionals in Python.mp4 34.6 MB
26. Factors in R/1. Introduction to Factors in R.mp4 34.6 MB
21. Examining and Managing Data Structures in R/5. Vector Recycling and Iterations in R.mp4 34.5 MB
21. Examining and Managing Data Structures in R/6. Naming Vectors in R.mp4 34.2 MB
4. Object Oriented Programming/2. Constructor in Object Oriented Programming.mp4 33.9 MB
4. Object Oriented Programming/4. Inheritance in Object Oriented Programming.mp4 32.6 MB
11. Geoplotlib/1. What is Geoplotlib.mp4 32.2 MB
21. Examining and Managing Data Structures in R/3. Converting Data Types of Atomic Vectors in R.mp4 32.2 MB
13. Machine Learning/6. Workflow of Machine Learning.mp4 31.7 MB
13. Machine Learning/8. Supervised Machine Learning Methods - 1.mp4 30.9 MB
14. Artificial Neural Network/5. Tensor Operations 2.mp4 29.8 MB
3. Fundamentals of Python/2. Operators in Python.mp4 29.6 MB
23. Arrays in R/1. Arrays in r programming.mp4 28.0 MB
25. Data Frames/2. Naming Variables and Observations in DF.mp4 27.5 MB
6. Using Numpy for Data Manipulation/1. What is Numpy.mp4 26.7 MB
9. Matplotlib/3. Pyplot – Pylab - Matplotlib.mp4 26.6 MB
9. Matplotlib/2. Using Matplotlib.mp4 26.5 MB
3. Fundamentals of Python/8. Functions in Python.mp4 26.1 MB
13. Machine Learning/14. Data pre-processing in Deep learning.mp4 26.0 MB
9. Matplotlib/6. Plot Customization in matplotlib.mp4 25.8 MB
2. Setting Up Python for Mac and Windows Python Data Science/3. Let's Meet Jupyter Notebook for Windows.mp4 25.4 MB
19. Environment Installation for R/1. Downloading and Installing R & R Studio.mp4 25.0 MB
13. Machine Learning/17. Evaluation in deep learning.mp4 24.4 MB
21. Examining and Managing Data Structures in R/2. Atomic Vector Types in R.mp4 24.1 MB
13. Machine Learning/2. History of Machine Learning.mp4 23.9 MB
4. Object Oriented Programming/3. Methods in Object Oriented Programming.mp4 23.6 MB
14. Artificial Neural Network/6. Keras API in Artificial intelligence.mp4 23.3 MB
14. Artificial Neural Network/1. What is Artificial Neural Network (ANN).mp4 23.0 MB
9. Matplotlib/7. Grid, Spines, Ticks in python.mp4 22.4 MB
19. Environment Installation for R/2. R Console Versus R Studio.mp4 22.0 MB
3. Fundamentals of Python/7. Modules in Python.mp4 21.1 MB
13. Machine Learning/4. What is Deep Learning.mp4 20.5 MB
5. Python For Data Science Data Science/1. What Is Data Science.mp4 20.2 MB
7. Pandas Using Pandas for Data Manipulation/1. What is Pandas.mp4 20.1 MB
9. Matplotlib/1. What is Matplotlib.mp4 17.9 MB
13. Machine Learning/13. Gathering data in Deep learning.mp4 17.6 MB
6. Using Numpy for Data Manipulation/3. Array Operators in Numpy.mp4 17.6 MB
4. Object Oriented Programming/1. Logic of Object Oriented Programming.mp4 16.4 MB
13. Machine Learning/1. AI, Machine Learning and Deep Learning.mp4 16.2 MB
2. Setting Up Python for Mac and Windows Python Data Science/4. Basics of Jupyter Notebook for Mac.mp4 14.8 MB
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
12. Data Science Hands-On Projects/3. Project II Bike Sharing.mp4 13.7 MB
12. Data Science Hands-On Projects/7. Project IV English Premier League.mp4 13.5 MB
21. Examining and Managing Data Structures in R/4. Test Functions in R.mp4 13.0 MB
10. Seaborn/1. What is Seaborn.mp4 12.9 MB
12. Data Science Hands-On Projects/5. Project III Housing and Property Sales.mp4 10.3 MB
12. Data Science Hands-On Projects/1. Analyse Data With Different Data Sets Titanic Project.mp4 10.0 MB
5. Python For Data Science Data Science/2. Data Literacy.mp4 9.8 MB
3. Fundamentals of Python/9. Exercise Analyse in Python.mp4 5.7 MB
10. Seaborn/5.3 salary.csv 3.3 MB
12. Data Science Hands-On Projects/5.1 House Sales.csv 1.2 MB
10. Seaborn/7.1 age_data.csv 661.5 KB
9. Matplotlib/8.1 age_data.csv 661.5 KB
12. Data Science Hands-On Projects/3.1 Bike_Share_London.csv 368.5 KB
9. Matplotlib/9.1 winequality.csv 82.2 KB
12. Data Science Hands-On Projects/1.2 Titanic.csv 57.4 KB
12. Data Science Hands-On Projects/7.1 2006-2018 EPL stats.csv 53.9 KB
9. Matplotlib/8. Basic Plots in Matplotlib I.srt 30.3 KB
12. Data Science Hands-On Projects/4. Bike Sharing Project Answers.srt 30.0 KB
12. Data Science Hands-On Projects/6. Answer for Housing and Property Sales Project.srt 28.4 KB
12. Data Science Hands-On Projects/8. Answers for English Premier League Project.srt 28.1 KB
13. Machine Learning/12. Unsupervised Machine Learning Methods.srt 26.6 KB
11. Geoplotlib/2.1 poaching_points_cleaned.csv 24.2 KB
10. Seaborn/5. Basic Plots in Seaborn.srt 22.3 KB
8. Data Frame with Pandas/6. Missing Data and Data Munging in Pandas.srt 21.9 KB
12. Data Science Hands-On Projects/2. Titanic Project Answers in python projects.srt 21.4 KB
18. Projects Python projects, Data science projects, machine learning/2. Project - 2.srt 20.8 KB
14. Artificial Neural Network/8. What is TensorFlow.srt 20.1 KB
18. Projects Python projects, Data science projects, machine learning/1. Project - 1.srt 20.0 KB
1. Introduction to Complete Data Science, Deep Learning, R Data Science 2021/3. FAQ about Complete data science with R, deep learning, machine learning.html 20.0 KB
20. Data Management in R/3. Graphs and Charts in Python data science.srt 19.2 KB
13. Machine Learning/11. Supervised Machine Learning Methods - 4.srt 18.8 KB
7. Pandas Using Pandas for Data Manipulation/2. Series and Features.srt 18.7 KB
17. Transfer Learning/1. What is Transfer Learning.srt 18.7 KB
11. Geoplotlib/3. Example - 2.srt 18.5 KB
27. Data Transformation in R/6. Grouped Summaries with Summarize Function in R.srt 17.6 KB
3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets in Python.srt 17.4 KB
9. Matplotlib/4. Figure, Subplot and Axes in Matplotlib.srt 17.3 KB
15. Convolutional Neural Network (CNN)/1. What is CNN.srt 17.2 KB
8. Data Frame with Pandas/10. Combining Data Frames Part – II.srt 17.2 KB
8. Data Frame with Pandas/9. Combining Data Frames in Pandas.srt 17.1 KB
13. Machine Learning/7. Machine Learning Methods.srt 16.1 KB
13. Machine Learning/10. Supervised Machine Learning Methods - 3.srt 15.8 KB
9. Matplotlib/9. Basic Plots in Matplotlib II.srt 15.6 KB
10. Seaborn/7. Regression Plots and Squarify in Seaborn.srt 15.5 KB
8. Data Frame with Pandas/8. How We Deal with Missing Data.srt 15.5 KB
8. Data Frame with Pandas/1. Data Frame Attributes and Methods.srt 15.4 KB
13. Machine Learning/9. Supervised Machine Learning Methods - 2.srt 15.2 KB
27. Data Transformation in R/3. Filtering Rows with Filter Function in R programming.srt 15.1 KB
18. Projects Python projects, Data science projects, machine learning/3. Project - 3.srt 14.9 KB
6. Using Numpy for Data Manipulation/5. Numpy Exercises.srt 14.7 KB
16. Recurrent Neural Network and LTSM/1. Understanding RNN and LSTM Networks.srt 14.6 KB
18. Projects Python projects, Data science projects, machine learning/4. Project - 4.srt 14.6 KB
10. Seaborn/4. Color Palettes in Seaborn.srt 14.5 KB
14. Artificial Neural Network/3. Creating a Simple ANN in Artificial intelligence.srt 14.5 KB
9. Matplotlib/5. Figure Customization in Matplotlib.srt 13.9 KB
25. Data Frames/3. Manipulating Values in DF.srt 13.8 KB
3. Fundamentals of Python/1. Data Types in Python.srt 13.5 KB
13. Machine Learning/5. Learning representations from data.srt 13.4 KB
13. Machine Learning/3. Turing Machine and Turing Test.srt 13.3 KB
8. Data Frame with Pandas/5. Groupby Operations in Pandas.srt 12.2 KB
27. Data Transformation in R/4. Arranging Rows with Arrange Function in R.srt 12.1 KB
14. Artificial Neural Network/7. Optimizers in Artificial intelligence.srt 11.9 KB
26. Factors in R/2. Manipulating Categorical Data with Forcats in R.srt 11.9 KB
3. Fundamentals of Python/4. Loops in Python.srt 11.9 KB
8. Data Frame with Pandas/4. Multi Index in Pandas.srt 11.9 KB
8. Data Frame with Pandas/11. Work with Dataset Files in Pandas.srt 11.6 KB
6. Using Numpy for Data Manipulation/2. Array and Features in Numpy Python.srt 11.4 KB
11. Geoplotlib/4. Example - 3.srt 11.4 KB
9. Matplotlib/8.2 scatter_ex.xlsx 11.3 KB
8. Data Frame with Pandas/2. Data Frame Attributes and Methods Part – II.srt 11.2 KB
14. Artificial Neural Network/4. Tensor Operations in Artificial intelligence.srt 10.9 KB
10. Seaborn/2. Controlling Figure Aesthetics in Seaborn.srt 10.8 KB
13. Machine Learning/6. Workflow of Machine Learning.srt 10.7 KB
8. Data Frame with Pandas/7. Missing Data and Data Munging Part II.srt 10.7 KB
10. Seaborn/6. Multi-Plots in Seaborn.srt 10.7 KB
3. Fundamentals of Python/2. Operators in Python.srt 10.6 KB
13. Machine Learning/8. Supervised Machine Learning Methods - 1.srt 10.4 KB
14. Artificial Neural Network/2. Anatomy of Neural Network in Artificial intelligence.srt 10.4 KB
11. Geoplotlib/1. What is Geoplotlib.srt 10.2 KB
3. Fundamentals of Python/3. Conditionals in Python.srt 9.6 KB
10. Seaborn/3. Example in Seaborn.srt 9.6 KB
11. Geoplotlib/2. Example - 1.srt 9.6 KB
8. Data Frame with Pandas/3. Data Frame Attributes and Methods Part – III.srt 9.3 KB
4. Object Oriented Programming/5. Overriding and Overloading in OOP.srt 9.3 KB
20. Data Management in R/2. Data Manipulation in R.srt 9.1 KB
3. Fundamentals of Python/6. Data Type Operators and Methods in Python.srt 8.9 KB
13. Machine Learning/15. Choosing the right algorithm and model in deep learning.srt 8.9 KB
3. Fundamentals of Python/8. Functions in Python.srt 8.9 KB
25. Data Frames/5. Tibbles in R.srt 8.6 KB
6. Using Numpy for Data Manipulation/4. Indexing and Slicing in Numpy Python.srt 8.6 KB
27. Data Transformation in R/1. Introduction to Data Transformation.srt 8.5 KB
23. Arrays in R/2. Subsections of an Array in r programming.srt 8.3 KB
9. Matplotlib/7. Grid, Spines, Ticks in python.srt 8.1 KB
14. Artificial Neural Network/1. What is Artificial Neural Network (ANN).srt 8.1 KB
14. Artificial Neural Network/6. Keras API in Artificial intelligence.srt 8.0 KB
14. Artificial Neural Network/5. Tensor Operations 2.srt 7.9 KB
13. Machine Learning/2. History of Machine Learning.srt 7.7 KB
9. Matplotlib/2. Using Matplotlib.srt 7.5 KB
13. Machine Learning/17. Evaluation in deep learning.srt 7.4 KB
6. Using Numpy for Data Manipulation/1. What is Numpy.srt 7.3 KB
9. Matplotlib/3. Pyplot – Pylab - Matplotlib.srt 7.2 KB
20. Data Management in R/1. Getting Data into R.srt 7.2 KB
13. Machine Learning/4. What is Deep Learning.srt 7.1 KB
27. Data Transformation in R/2. Select Columns with Select Function in R programming.srt 6.9 KB
4. Object Oriented Programming/2. Constructor in Object Oriented Programming.srt 6.8 KB
27. Data Transformation in R/5. Adding New Variables with Mutate Function in R.srt 6.8 KB
25. Data Frames/1. Introduction to Data Frames.srt 6.7 KB
4. Object Oriented Programming/4. Inheritance in Object Oriented Programming.srt 6.7 KB
24. Matrices in R programming/1. Matrices in R programming.srt 6.6 KB
9. Matplotlib/6. Plot Customization in matplotlib.srt 6.6 KB
5. Python For Data Science Data Science/1. What Is Data Science.srt 6.5 KB
7. Pandas Using Pandas for Data Manipulation/1. What is Pandas.srt 6.3 KB
3. Fundamentals of Python/10. Exercise Solution in Python.srt 6.3 KB
13. Machine Learning/14. Data pre-processing in Deep learning.srt 6.3 KB
13. Machine Learning/16. Training and testing the model.srt 6.2 KB
2. Setting Up Python for Mac and Windows Python Data Science/2. Installing Anaconda for Mac, Python Data Science.srt 6.2 KB
24. Matrices in R programming/3. Calculating With Matrices in Python Data science.srt 6.1 KB
2. Setting Up Python for Mac and Windows Python Data Science/1. Installing Anaconda for Windows.srt 6.0 KB
22. Lists in R/1. Lists in R.srt 5.7 KB
2. Setting Up Python for Mac and Windows Python Data Science/3. Let's Meet Jupyter Notebook for Windows.srt 5.7 KB
13. Machine Learning/13. Gathering data in Deep learning.srt 5.6 KB
21. Examining and Managing Data Structures in R/7. Subsetting Vectors in R.srt 5.5 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.srt 5.5 KB
13. Machine Learning/1. AI, Machine Learning and Deep Learning.srt 5.5 KB
21. Examining and Managing Data Structures in R/1. Vector Basics in R.srt 5.4 KB
3. Fundamentals of Python/7. Modules in Python.srt 5.3 KB
24. Matrices in R programming/2. Naming Matrix Row and Columns in R programming.srt 5.2 KB
19. Environment Installation for R/2. R Console Versus R Studio.srt 5.2 KB
4. Object Oriented Programming/1. Logic of Object Oriented Programming.srt 5.1 KB
10. Seaborn/1. What is Seaborn.srt 5.0 KB
12. Data Science Hands-On Projects/3. Project II Bike Sharing.srt 4.9 KB
12. Data Science Hands-On Projects/7. Project IV English Premier League.srt 4.8 KB
26. Factors in R/1. Introduction to Factors in R.srt 4.6 KB
21. Examining and Managing Data Structures in R/5. Vector Recycling and Iterations in R.srt 4.6 KB
23. Arrays in R/1. Arrays in r programming.srt 4.5 KB
19. Environment Installation for R/1. Downloading and Installing R & R Studio.srt 4.4 KB
12. Data Science Hands-On Projects/1. Analyse Data With Different Data Sets Titanic Project.srt 4.3 KB
21. Examining and Managing Data Structures in R/6. Naming Vectors in R.srt 4.3 KB
6. Using Numpy for Data Manipulation/3. Array Operators in Numpy.srt 4.2 KB
4. Object Oriented Programming/3. Methods in Object Oriented Programming.srt 4.1 KB
25. Data Frames/4. Adding and Removing Variables in R Programming.srt 3.8 KB
12. Data Science Hands-On Projects/5. Project III Housing and Property Sales.srt 3.6 KB
9. Matplotlib/1. What is Matplotlib.srt 3.5 KB
21. Examining and Managing Data Structures in R/3. Converting Data Types of Atomic Vectors in R.srt 3.5 KB
21. Examining and Managing Data Structures in R/2. Atomic Vector Types in R.srt 3.4 KB
5. Python For Data Science Data Science/2. Data Literacy.srt 3.3 KB
2. Setting Up Python for Mac and Windows Python Data Science/4. Basics of Jupyter Notebook for Mac.srt 2.6 KB
10. Seaborn/4.1 flight_details.csv 2.3 KB
3. Fundamentals of Python/9. Exercise Analyse in Python.srt 2.2 KB
25. Data Frames/2. Naming Variables and Observations in DF.srt 2.1 KB
10. Seaborn/3.1 scores.csv 1.4 KB
10. Seaborn/5.4 scores.csv 1.4 KB
21. Examining and Managing Data Structures in R/4. Test Functions in R.srt 1.3 KB
12. Data Science Hands-On Projects/7.2 Project - IV - Questions.txt 1.0 KB
12. Data Science Hands-On Projects/3.2 Project - II - Questions.txt 906 bytes
12. Data Science Hands-On Projects/1.1 Project - I - Questions.txt 823 bytes
12. Data Science Hands-On Projects/5.2 Project - III - Questions.txt 737 bytes
10. Seaborn/5.5 youtube.csv 714 bytes
1. Introduction to Complete Data Science, Deep Learning, R Data Science 2021/2. Project Files and Course Documents Data Science, Python data science.html 457 bytes
28. Extra/1. Complete Python Data Science, Deep Learning, R Programming.html 266 bytes
10. Seaborn/8. Quiz.html 166 bytes
11. Geoplotlib/5. Quiz.html 166 bytes
13. Machine Learning/18. Quiz Python, Data Science, Machine learning, Deep learning.html 166 bytes
13. Machine Learning/19. Quiz.html 166 bytes
14. Artificial Neural Network/9. Quiz.html 166 bytes
15. Convolutional Neural Network (CNN)/2. Quiz.html 166 bytes
16. Recurrent Neural Network and LTSM/2. Quiz.html 166 bytes
17. Transfer Learning/2. Quiz Machine Learnig, Deep Learning.html 166 bytes
20. Data Management in R/4. quiz.html 166 bytes
3. Fundamentals of Python/11. Quiz.html 166 bytes
4. Object Oriented Programming/6. Quiz Python data science, R programming.html 166 bytes
5. Python For Data Science Data Science/3. Quiz Data Science, Python Data Science.html 166 bytes
6. Using Numpy for Data Manipulation/6. Quiz.html 166 bytes
8. Data Frame with Pandas/12. Quiz.html 166 bytes
9. Matplotlib/10. Quiz.html 166 bytes
10. Seaborn/5.2 movie_scores.csv 165 bytes
10. Seaborn/5.1 basic_details.csv 145 bytes
0. Websites you may like/[FreeCourseSite.com].url 127 bytes
10. Seaborn/0. Websites you may like/[FreeCourseSite.com].url 127 bytes
16. Recurrent Neural Network and LTSM/0. Websites you may like/[FreeCourseSite.com].url 127 bytes
18. Projects Python projects, Data science projects, machine learning/0. Websites you may like/[FreeCourseSite.com].url 127 bytes
3. Fundamentals of Python/0. Websites you may like/[FreeCourseSite.com].url 127 bytes
0. Websites you may like/[CourseClub.Me].url 122 bytes
10. Seaborn/0. Websites you may like/[CourseClub.Me].url 122 bytes
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18. Projects Python projects, Data science projects, machine learning/0. Websites you may like/[CourseClub.Me].url 122 bytes
3. Fundamentals of Python/0. Websites you may like/[CourseClub.Me].url 122 bytes
10. Seaborn/7.2 water_usage.csv 94 bytes
0. Websites you may like/[GigaCourse.Com].url 49 bytes
10. Seaborn/0. Websites you may like/[GigaCourse.Com].url 49 bytes
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3. Fundamentals of Python/0. Websites you may like/[GigaCourse.Com].url 49 bytes

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