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[DesireCourse Com] Udemy - Machine Learning Basics Building Regression Model in Python

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Title: UdemyGroup: NOGRPSource: Udemy
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EBB55BAACFCEFC255B458060844C8129E61FB0E8
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Unverified
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2.74 GB
Total Files
100
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1
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File List

FileSize
1. Introduction/1. Welcome to the course!.mp416.27 MB
1. Introduction/1. Welcome to the course!.vtt3.24 KB
1. Introduction/2. Course contents.mp447.85 MB
1. Introduction/2. Course contents.vtt8.04 KB
1. Introduction/2.1 00_Introduction_01.pdf.pdf791.49 KB
2. Basics of Statistics/1. Types of Data.mp425.86 MB
2. Basics of Statistics/1. Types of Data.vtt4.32 KB
2. Basics of Statistics/1.1 01_01_Lecture_TypesOfData.pdf.pdf177.74 KB
2. Basics of Statistics/2. Types of Statistics.mp413.23 MB
2. Basics of Statistics/2. Types of Statistics.vtt2.68 KB
2. Basics of Statistics/2.1 01_02_Lecture_TypesOfStatistics.pdf.pdf171.73 KB
2. Basics of Statistics/3. Describing data Graphically.mp482.21 MB
2. Basics of Statistics/3. Describing data Graphically.vtt11.3 KB
2. Basics of Statistics/3.1 01_03_Lecture_DataSummaryandGraph.pdf.pdf317.85 KB
2. Basics of Statistics/4. Measures of Centers.mp445.67 MB
2. Basics of Statistics/4. Measures of Centers.vtt6.42 KB
2. Basics of Statistics/4.1 01_04_Lecture_Centers.pdf.pdf312.98 KB
2. Basics of Statistics/5. Practice Exercise 1.html357 B
2. Basics of Statistics/5.1 Exercise 1.pdf.pdf553.83 KB
2. Basics of Statistics/6. Measures of Dispersion.mp428.39 MB
2. Basics of Statistics/6. Measures of Dispersion.vtt4.72 KB
2. Basics of Statistics/6.1 01_05_Lecture_Dispersion.pdf.pdf210.55 KB
2. Basics of Statistics/7. Practice Exercise 2.html300 B
2. Basics of Statistics/7.1 Exercise 2.pdf.pdf469.93 KB
3. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp418.61 MB
3. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.vtt2.25 KB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp473.07 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.vtt7.98 KB
3. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp451.3 MB
3. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.vtt10.77 KB
3. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp415.92 MB
3. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.vtt3.5 KB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp480.64 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.vtt14.3 KB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp473.67 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.vtt14.62 KB
3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp454.13 MB
3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.vtt9.12 KB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp456.46 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.vtt7.24 KB
3. Setting up Python and Jupyter Notebook/8.1 Customer.csv.csv64.02 KB
3. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp448.87 MB
3. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.vtt6.54 KB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4123.9 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.vtt16.3 KB
4. Introduction to Machine Learning/1.1 Lecture_machineLearning.pdf.pdf991.61 KB
4. Introduction to Machine Learning/2. Building a Machine Learning Model.mp445.26 MB
4. Introduction to Machine Learning/2. Building a Machine Learning Model.vtt8.59 KB
4. Introduction to Machine Learning/2.1 Lecture_machineLearning.pdf.pdf991.61 KB
4. Introduction to Machine Learning/3. Introduction to Machine learning quiz.html166 B
5. Data Preprocessing/1. Gathering Business Knowledge.mp425.11 MB
5. Data Preprocessing/1. Gathering Business Knowledge.vtt3.45 KB
5. Data Preprocessing/1.1 03_01_PDE_Business_knowledge.pdf.pdf153.94 KB
5. Data Preprocessing/10. Outlier Treatment in Python.mp486.57 MB
5. Data Preprocessing/10. Outlier Treatment in Python.vtt11.17 KB
5. Data Preprocessing/11. Project Exercise 3.html233 B
5. Data Preprocessing/12. Missing Value Imputation.mp427.56 MB
5. Data Preprocessing/12. Missing Value Imputation.vtt3.61 KB
5. Data Preprocessing/12.1 04_05_PDE_Missing_value.pdf.pdf315.68 KB
5. Data Preprocessing/13. Missing Value Imputation in Python.mp428.59 MB
5. Data Preprocessing/13. Missing Value Imputation in Python.vtt3.57 KB
5. Data Preprocessing/14. Project Exercise 4.html238 B
5. Data Preprocessing/15. Seasonality in Data.mp420.88 MB
5. Data Preprocessing/15. Seasonality in Data.vtt3.3 KB
5. Data Preprocessing/15.1 04_07_PDE_Seasonality.pdf.pdf364.09 KB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4113.73 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.vtt16.09 KB
5. Data Preprocessing/16.1 04_07_Variable_Transformation.pdf.pdf422.8 KB
5. Data Preprocessing/17. Variable transformation and deletion in Python.mp453.4 MB
5. Data Preprocessing/17. Variable transformation and deletion in Python.vtt6.49 KB
5. Data Preprocessing/18. Project Exercise 5.html285 B
5. Data Preprocessing/19. Non-usable variables.mp423.95 MB
5. Data Preprocessing/19. Non-usable variables.vtt4.8 KB
5. Data Preprocessing/19.1 04_08_PDE_Non_Usable_var.pdf.pdf138.35 KB
5. Data Preprocessing/2. Data Exploration.mp423.41 MB
5. Data Preprocessing/2. Data Exploration.vtt3.21 KB
5. Data Preprocessing/2.1 03_02_PDE_Data_exploration.pdf.pdf322.91 KB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp440.63 MB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.vtt4.31 KB
5. Data Preprocessing/20.1 04_11_Dummy_Var.pdf.pdf162.97 KB
5. Data Preprocessing/21. Dummy variable creation in Python.mp433.89 MB
5. Data Preprocessing/21. Dummy variable creation in Python.vtt4.76 KB
5. Data Preprocessing/22. Project Exercise 6.html202 B
5. Data Preprocessing/23. Correlation Analysis.mp481.3 MB
5. Data Preprocessing/23. Correlation Analysis.vtt9.75 KB
5. Data Preprocessing/23.1 04_10_Correlation.pdf.pdf256.91 KB
5. Data Preprocessing/24. Correlation Analysis in Python.mp468.03 MB
5. Data Preprocessing/24. Correlation Analysis in Python.vtt5.81 KB
5. Data Preprocessing/25. Project Exercise 7.html288 B
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp478.59 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.vtt6.89 KB
5. Data Preprocessing/3.1 03_03_PDE_Raw_Data_Analysis_Uni.pdf.pdf331.98 KB
5. Data Preprocessing/3.2 House_Price.csv.csv53.49 KB
5. Data Preprocessing/4. Importing Data in Python.mp432.46 MB
5. Data Preprocessing/4. Importing Data in Python.vtt4.89 KB
5. Data Preprocessing/4.1 House_Price.csv.csv53.49 KB
5. Data Preprocessing/5. Project exercise 1.html431 B
5. Data Preprocessing/5.1 Movie_collection_train.csv.csv43.31 KB
5. Data Preprocessing/6. Univariate analysis and EDD.mp427.3 MB
5. Data Preprocessing/6. Univariate analysis and EDD.vtt3.1 KB

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