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Udemy Complete Python Data Science Deep Learning R Programming

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Files:

[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

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