Udemy - Linear Regression and Logistic Regression in Python [FCS]

seeders: 11
leechers: 9
updated:
Download torrent
Added by fcs0310 in Other > Tutorials
Download Fast Safe Anonymous
movies, software, shows...

Files

[FreeCourseSite.com] Udemy - Linear Regression and Logistic Regression in Python 0. Websites you may like
  • [CourseClub.ME].url (0.1 KB)
  • [FCS Forum].url (0.1 KB)
  • [FreeCourseSite.com].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)
1. Introduction
  • 1. Introduction.mp4 (24.7 MB)
  • 1. Introduction.srt (3.7 KB)
  • 2. Course Resources.html (0.4 KB)
2. Setting up Python and Python Crash Course
  • 1. Installing Python and Anaconda.mp4 (16.3 MB)
  • 1. Installing Python and Anaconda.srt (2.6 KB)
  • 10. Working with Seaborn Library of Python.mp4 (40.4 MB)
  • 10. Working with Seaborn Library of Python.srt (8.6 KB)
  • 2. This is a milestone!.mp4 (20.6 MB)
  • 2. This is a milestone!.srt (3.8 KB)
  • 3. Opening Jupyter Notebook.mp4 (65.2 MB)
  • 3. Opening Jupyter Notebook.srt (9.8 KB)
  • 4. Introduction to Jupyter.mp4 (40.9 MB)
  • 4. Introduction to Jupyter.srt (13.2 KB)
  • 5. Arithmetic operators in Python Python Basics.mp4 (12.7 MB)
  • 5. Arithmetic operators in Python Python Basics.srt (4.4 KB)
  • 6. Strings in Python Python Basics.mp4 (64.4 MB)
  • 6. Strings in Python Python Basics.srt (18.0 KB)
  • 7. Lists, Tuples and Directories Python Basics.mp4 (60.3 MB)
  • 7. Lists, Tuples and Directories Python Basics.srt (20.1 KB)
  • 8. Working with Numpy Library of Python.mp4 (43.9 MB)
  • 8. Working with Numpy Library of Python.srt (11.8 KB)
  • 9. Working with Pandas Library of Python.mp4 (46.9 MB)
  • 9. Working with Pandas Library of Python.srt (10.1 KB)
3. Basics of Statistics
  • 1. Types of Data.mp4 (21.8 MB)
  • 1. Types of Data.srt (5.0 KB)
  • 2. Types of Statistics.mp4 (10.9 MB)
  • 2. Types of Statistics.srt (3.2 KB)
  • 3. Describing data Graphically.mp4 (65.3 MB)
  • 3. Describing data Graphically.srt (12.8 KB)
  • 4. Measures of Centers.mp4 (38.6 MB)
  • 4. Measures of Centers.srt (7.9 KB)
  • 5. Measures of Dispersion.mp4 (22.9 MB)
  • 5. Measures of Dispersion.srt (5.2 KB)
4. Data Preprocessing before building Linear Regression Model
  • 1. Gathering Business Knowledge.mp4 (22.3 MB)
  • 1. Gathering Business Knowledge.srt (4.1 KB)
  • 10. Missing Value Imputation in Python.mp4 (23.4 MB)
  • 10. Missing Value Imputation in Python.srt (4.8 KB)
  • 11. Seasonality in Data.mp4 (17.0 MB)
  • 11. Seasonality in Data.srt (4.0 KB)
  • 12. Bi-variate analysis and Variable transformation.mp4 (100.4 MB)
  • 12. Bi-variate analysis and Variable transformation.srt (19.3 KB)
  • 13. Variable transformation and deletion in Python.mp4 (44.1 MB)
  • 13. Variable transformation and deletion in Python.srt (9.0 KB)
  • 14. Non-usable variables.mp4 (20.2 MB)
  • 14. Non-usable variables.srt (6.0 KB)
  • 15. Dummy variable creation Handling qualitative data.mp4 (36.8 MB)
  • 15. Dummy variable creation Handling qualitative data.srt (5.8 KB)
  • 16. Dummy variable creation in Python.mp4 (26.5 MB)
  • 16. Dummy variable creation in Python.srt (6.2 KB)
  • 17. Correlation Analysis.mp4 (71.6 MB)
  • 17. Correlation Analysis.srt (11.9 KB)
  • 18. Correlation Analysis in Python.mp4 (55.3 MB)
  • 18. Correlation Analysis in Python.srt (7.0 KB)
  • 19. Quiz.html (0.2 KB)
  • 2. Data Exploration.mp4 (20.5 MB)
  • 2. Data Exploration.srt (3.9 KB)
  • 3. The Dataset and the Data Dictionary.mp4 (69.4 MB)
  • 3. The Dataset and the Data Dictionary.srt (8.8 KB)
  • 4. Importing Data in Python.mp4 (27.8 MB)
  • 4. Importing Data in Python.srt (6.5 KB)
  • 5. Univariate analysis and EDD.mp4 (24.2 MB)
  • 5. Univariate analysis and EDD.srt (4.0 KB)
  • 6. EDD in Python.mp4 (61.8 MB)
  • 6. EDD in Python.srt (11.6 KB)
  • 7. Outlier Treatment.mp4 (24.5 MB)
  • 7. Outlier Treatment.srt (5.1 KB)
  • 8. Outlier Treatment in Python.mp4 (70.2 MB)
  • 8. Outlier Treatment in Python.srt (14.1 KB)
  • 9. Missing Value Imputation.mp4 (25.0 MB)
  • 9. Missing Value Imputation.srt (4.2 KB)
5. Building the Linear Regression Model
  • 1. The Problem Statement.mp4 (9.4 MB)
  • 1. The Problem Statement.srt (1.7 KB)
  • 10. Test-train split.mp4 (41.9 MB)
  • 10. Test-train split.srt (10.9 KB)
  • 11. Bias Variance trade-off.mp4 (25.1 MB)
  • 11. Bias Variance trade-off.srt (7.0 KB)
  • 12. More about test-train split.html (0.5 KB)
  • 13. Test train split in Python.mp4 (44.9 MB)
  • 13. Test train split in Python.srt (8.7 KB)
  • 2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 (43.4 MB)
  • 2. Basic Equations and Ordinary Least Squares (OLS) method.srt (10.4 KB)
  • 3. Assessing accuracy of predicted coefficients.mp4 (92.1 MB)
  • 3. Assessing accuracy of predicted coefficients.srt (17.4 KB)
  • 4. Assessing Model Accuracy RSE and R squared.mp4 (43.6 MB)
  • 4. Assessing Model Accuracy RSE and R squared.srt (8.4 KB)
  • 5. Simple Linear Regression in Python.mp4 (63.4 MB)
  • 5. Simple Linear Regression in Python.srt (13.1 KB)
  • 6. Multiple Linear Regression.mp4 (34.3 MB)
  • 6. Multiple Linear Regression.srt (6.3 KB)
  • 7. The F - statistic.mp4 (56.0 MB)
  • 7. The F - statistic.srt (9.7 KB)
  • 8. Interpreting results of Categorical variables.mp4 (22.5 MB)
  • 8. Interpreting results of Categorical variables.srt (5.9 KB)
  • 9. Multiple Linear Regression in Python.mp4 (69.7 MB)
  • 9. Multiple Linear Regression in Python.srt (14.3 KB)
6. Logistic Regression Data Preprocessing
  • 1. The Dataset and the Data Dictionary.mp4 (79.2 MB)
  • 1. The Dataset and the Data Dictionary.srt (9.3 KB)
  • 2. Data Import in Python.mp4 (22.1 MB)
  • 2. Data Import in Python.srt (5.3 KB)
  • 3. EDD in Python.mp4 (77.6 MB)
  • 3. EDD in Python.srt (17.8 KB)
  • 4

Description

Udemy - Linear Regression and Logistic Regression in Python [FCS]

Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners

Created by Start-Tech Academy
Last updated 11/2021
English
English [Auto]

For more Udemy Courses: https://freecoursesite.com
Our Forum for Discussion: https://forum.freecoursesite.com



Download torrent
2.5 GB
seeders:11
leechers:9
Udemy - Linear Regression and Logistic Regression in Python [FCS]

Trackers

tracker name
udp://tracker.tiny-vps.com:6969/announce
udp://fasttracker.foreverpirates.co:6969/announce
udp://tracker.opentrackr.org:1337/announce
udp://explodie.org:6969/announce
udp://open.stealth.si:80/announce
udp://tracker.cyberia.is:6969/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://tracker.uw0.xyz:6969/announce
udp://tracker.dler.org:6969/announce
udp://9.rarbg.to:2710/announce
udp://discord.heihachi.pw:6969/announce
udp://fe.dealclub.de:6969/announce
udp://mail.realliferpg.de:6969/announce
udp://tracker.zerobytes.xyz:1337/announce
udp://code2chicken.nl:6969/announce
µTorrent compatible trackers list

Download torrent
2.5 GB
seeders:11
leechers:9
Udemy - Linear Regression and Logistic Regression in Python [FCS]

Torrent hash: 46C902F596EDF163CC210076EE251DE3617C8EAF