Skip to content

[FreeCourseSite com] Udemy - Linear Regression and Logistic Regression in Python

Sign up to create lists
Report [FreeCourseSite com] Udemy - Linear Regression and Logistic Regression in Python
Unverified source. This magnet is from an unverified source. The content may be unsafe or mislabeled. Proceed with caution.
Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
46C902F596EDF163CC210076EE251DE3617C8EAF
Source
Unverified
Total Size
2.49 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
0. Websites you may like/[CourseClub.ME].url122 B
0. Websites you may like/[FCS Forum].url133 B
0. Websites you may like/[FreeCourseSite.com].url127 B
0. Websites you may like/[GigaCourse.Com].url49 B
1. Introduction/1. Introduction.mp424.74 MB
1. Introduction/1. Introduction.srt3.67 KB
1. Introduction/2. Course Resources.html388 B
2. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.mp416.26 MB
2. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.srt2.65 KB
2. Setting up Python and Python Crash Course/10. Working with Seaborn Library of Python.mp440.35 MB
2. Setting up Python and Python Crash Course/10. Working with Seaborn Library of Python.srt8.6 KB
2. Setting up Python and Python Crash Course/2. This is a milestone!.mp420.64 MB
2. Setting up Python and Python Crash Course/2. This is a milestone!.srt3.78 KB
2. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.mp465.2 MB
2. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.srt9.84 KB
2. Setting up Python and Python Crash Course/4. Introduction to Jupyter.mp440.92 MB
2. Setting up Python and Python Crash Course/4. Introduction to Jupyter.srt13.2 KB
2. Setting up Python and Python Crash Course/5. Arithmetic operators in Python Python Basics.mp412.74 MB
2. Setting up Python and Python Crash Course/5. Arithmetic operators in Python Python Basics.srt4.44 KB
2. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.mp464.43 MB
2. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.srt17.97 KB
2. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.mp460.33 MB
2. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.srt20.11 KB
2. Setting up Python and Python Crash Course/8. Working with Numpy Library of Python.mp443.87 MB
2. Setting up Python and Python Crash Course/8. Working with Numpy Library of Python.srt11.85 KB
2. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.mp446.89 MB
2. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.srt10.12 KB
3. Basics of Statistics/1. Types of Data.mp421.76 MB
3. Basics of Statistics/1. Types of Data.srt5.04 KB
3. Basics of Statistics/2. Types of Statistics.mp410.93 MB
3. Basics of Statistics/2. Types of Statistics.srt3.17 KB
3. Basics of Statistics/3. Describing data Graphically.mp465.35 MB
3. Basics of Statistics/3. Describing data Graphically.srt12.77 KB
3. Basics of Statistics/4. Measures of Centers.mp438.58 MB
3. Basics of Statistics/4. Measures of Centers.srt7.87 KB
3. Basics of Statistics/5. Measures of Dispersion.mp422.86 MB
3. Basics of Statistics/5. Measures of Dispersion.srt5.23 KB
4. Data Preprocessing before building Linear Regression Model/1. Gathering Business Knowledge.mp422.29 MB
4. Data Preprocessing before building Linear Regression Model/1. Gathering Business Knowledge.srt4.14 KB
4. Data Preprocessing before building Linear Regression Model/10. Missing Value Imputation in Python.mp423.41 MB
4. Data Preprocessing before building Linear Regression Model/10. Missing Value Imputation in Python.srt4.77 KB
4. Data Preprocessing before building Linear Regression Model/11. Seasonality in Data.mp417.03 MB
4. Data Preprocessing before building Linear Regression Model/11. Seasonality in Data.srt3.97 KB
4. Data Preprocessing before building Linear Regression Model/12. Bi-variate analysis and Variable transformation.mp4100.42 MB
4. Data Preprocessing before building Linear Regression Model/12. Bi-variate analysis and Variable transformation.srt19.33 KB
4. Data Preprocessing before building Linear Regression Model/13. Variable transformation and deletion in Python.mp444.1 MB
4. Data Preprocessing before building Linear Regression Model/13. Variable transformation and deletion in Python.srt9.02 KB
4. Data Preprocessing before building Linear Regression Model/14. Non-usable variables.mp420.24 MB
4. Data Preprocessing before building Linear Regression Model/14. Non-usable variables.srt6.03 KB
4. Data Preprocessing before building Linear Regression Model/15. Dummy variable creation Handling qualitative data.mp436.81 MB
4. Data Preprocessing before building Linear Regression Model/15. Dummy variable creation Handling qualitative data.srt5.77 KB
4. Data Preprocessing before building Linear Regression Model/16. Dummy variable creation in Python.mp426.53 MB
4. Data Preprocessing before building Linear Regression Model/16. Dummy variable creation in Python.srt6.21 KB
4. Data Preprocessing before building Linear Regression Model/17. Correlation Analysis.mp471.58 MB
4. Data Preprocessing before building Linear Regression Model/17. Correlation Analysis.srt11.91 KB
4. Data Preprocessing before building Linear Regression Model/18. Correlation Analysis in Python.mp455.31 MB
4. Data Preprocessing before building Linear Regression Model/18. Correlation Analysis in Python.srt6.96 KB
4. Data Preprocessing before building Linear Regression Model/19. Quiz.html212 B
4. Data Preprocessing before building Linear Regression Model/2. Data Exploration.mp420.51 MB
4. Data Preprocessing before building Linear Regression Model/2. Data Exploration.srt3.88 KB
4. Data Preprocessing before building Linear Regression Model/3. The Dataset and the Data Dictionary.mp469.37 MB
4. Data Preprocessing before building Linear Regression Model/3. The Dataset and the Data Dictionary.srt8.75 KB
4. Data Preprocessing before building Linear Regression Model/4. Importing Data in Python.mp427.83 MB
4. Data Preprocessing before building Linear Regression Model/4. Importing Data in Python.srt6.45 KB
4. Data Preprocessing before building Linear Regression Model/5. Univariate analysis and EDD.mp424.22 MB
4. Data Preprocessing before building Linear Regression Model/5. Univariate analysis and EDD.srt3.97 KB
4. Data Preprocessing before building Linear Regression Model/6. EDD in Python.mp461.79 MB
4. Data Preprocessing before building Linear Regression Model/6. EDD in Python.srt11.61 KB
4. Data Preprocessing before building Linear Regression Model/7. Outlier Treatment.mp424.5 MB
4. Data Preprocessing before building Linear Regression Model/7. Outlier Treatment.srt5.09 KB
4. Data Preprocessing before building Linear Regression Model/8. Outlier Treatment in Python.mp470.24 MB
4. Data Preprocessing before building Linear Regression Model/8. Outlier Treatment in Python.srt14.12 KB
4. Data Preprocessing before building Linear Regression Model/9. Missing Value Imputation.mp424.99 MB
4. Data Preprocessing before building Linear Regression Model/9. Missing Value Imputation.srt4.23 KB
5. Building the Linear Regression Model/1. The Problem Statement.mp49.37 MB
5. Building the Linear Regression Model/1. The Problem Statement.srt1.66 KB
5. Building the Linear Regression Model/10. Test-train split.mp441.86 MB
5. Building the Linear Regression Model/10. Test-train split.srt10.88 KB
5. Building the Linear Regression Model/11. Bias Variance trade-off.mp425.09 MB
5. Building the Linear Regression Model/11. Bias Variance trade-off.srt6.95 KB
5. Building the Linear Regression Model/12. More about test-train split.html559 B
5. Building the Linear Regression Model/13. Test train split in Python.mp444.88 MB
5. Building the Linear Regression Model/13. Test train split in Python.srt8.74 KB
5. Building the Linear Regression Model/2. Basic Equations and Ordinary Least Squares (OLS) method.mp443.36 MB
5. Building the Linear Regression Model/2. Basic Equations and Ordinary Least Squares (OLS) method.srt10.44 KB
5. Building the Linear Regression Model/3. Assessing accuracy of predicted coefficients.mp492.11 MB
5. Building the Linear Regression Model/3. Assessing accuracy of predicted coefficients.srt17.4 KB
5. Building the Linear Regression Model/4. Assessing Model Accuracy RSE and R squared.mp443.6 MB
5. Building the Linear Regression Model/4. Assessing Model Accuracy RSE and R squared.srt8.37 KB
5. Building the Linear Regression Model/5. Simple Linear Regression in Python.mp463.42 MB
5. Building the Linear Regression Model/5. Simple Linear Regression in Python.srt13.13 KB
5. Building the Linear Regression Model/6. Multiple Linear Regression.mp434.31 MB
5. Building the Linear Regression Model/6. Multiple Linear Regression.srt6.3 KB
5. Building the Linear Regression Model/7. The F - statistic.mp456.03 MB
5. Building the Linear Regression Model/7. The F - statistic.srt9.66 KB
5. Building the Linear Regression Model/8. Interpreting results of Categorical variables.mp422.49 MB
5. Building the Linear Regression Model/8. Interpreting results of Categorical variables.srt5.91 KB
5. Building the Linear Regression Model/9. Multiple Linear Regression in Python.mp469.74 MB
5. Building the Linear Regression Model/9. Multiple Linear Regression in Python.srt14.29 KB
6. Logistic Regression Data Preprocessing/1. The Dataset and the Data Dictionary.mp479.2 MB

Trackers

No trackers found.