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

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Udemy - Linear Regression and Logistic Regression in Python [FCS] (Size: 2.5 GB)

	1. Gathering Business Knowledge.mp4	22.3 MB
	1. Gathering Business Knowledge.srt	4.1 KB
	1. Installing Python and Anaconda.mp4	16.3 MB
	1. Installing Python and Anaconda.srt	2.6 KB
	1. Introduction.mp4	24.7 MB
	1. Introduction.srt	3.7 KB
	1. Test-Train Split.mp4	39.3 MB
	1. Test-Train Split.srt	10.6 KB
	1. The Dataset and the Data Dictionary.mp4	79.2 MB
	1. The Dataset and the Data Dictionary.srt	9.3 KB
	1. The Problem Statement.mp4	9.4 MB
	1. The Problem Statement.srt	1.7 KB
	1. The final milestone!.mp4	11.9 MB
	1. The final milestone!.srt	1.7 KB
	1. Types of Data.mp4	21.8 MB
	1. Types of Data.srt	5 KB
	1. Why can't we use Linear Regression.mp4	16.9 MB
	1. Why can't we use Linear Regression.srt	5.5 KB
	10. Evaluating model performance in Python.mp4	9 MB
	10. Evaluating model performance in Python.srt	2.7 KB
	10. Missing Value Imputation in Python.mp4	23.4 MB
	10. Missing Value Imputation in Python.srt	4.8 KB
	10. Test-train split.mp4	41.9 MB
	10. Test-train split.srt	10.9 KB
	10. Working with Seaborn Library of Python.mp4	40.4 MB
	10. Working with Seaborn Library of Python.srt	8.6 KB
	11. Bias Variance trade-off.mp4	25.1 MB
	11. Bias Variance trade-off.srt	7 KB
	11. Seasonality in Data.mp4	17 MB
	11. Seasonality in Data.srt	4 KB
	12. Bi-variate analysis and Variable transformation.mp4	100.4 MB
	12. Bi-variate analysis and Variable transformation.srt	19.3 KB
	12. More about test-train split.html	512 B
	13. Test train split in Python.mp4	44.9 MB
	13. Test train split in Python.srt	8.7 KB
	13. Variable transformation and deletion in Python.mp4	44.1 MB
	13. Variable transformation and deletion in Python.srt	9 KB
	14. Non-usable variables.mp4	20.2 MB
	14. Non-usable variables.srt	6 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 KB
	19. Quiz.html	204.8 B
	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
	2. Congratulations & About your certificate.html	1.6 KB
	2. Course Resources.html	409.6 B
	2. Data Exploration.mp4	20.5 MB
	2. Data Exploration.srt	3.9 KB
	2. Data Import in Python.mp4	22.1 MB
	2. Data Import in Python.srt	5.3 KB
	2. Logistic Regression.mp4	32.9 MB
	2. Logistic Regression.srt	8.6 KB
	2. Test-Train Split in Python.mp4	33.1 MB
	2. Test-Train Split in Python.srt	7.4 KB
	2. This is a milestone!.mp4	20.6 MB
	2. This is a milestone!.srt	3.8 KB
	2. Types of Statistics.mp4	10.9 MB
	2. Types of Statistics.srt	3.2 KB
	3. Assessing accuracy of predicted coefficients.mp4	92.1 MB
	3. Assessing accuracy of predicted coefficients.srt	17.4 KB
	3. Describing data Graphically.mp4	65.3 MB
	3. Describing data Graphically.srt	12.8 KB
	3. EDD in Python.mp4	77.6 MB
	3. EDD in Python.srt	17.8 KB
	3. Opening Jupyter Notebook.mp4	65.2 MB
	3. Opening Jupyter Notebook.srt	9.8 KB
	3. The Dataset and the Data Dictionary.mp4	69.4 MB
	3. The Dataset and the Data Dictionary.srt	8.8 KB
	3. Training a Simple Logistic Model in Python.mp4	47.9 MB
	3. Training a Simple Logistic Model in Python.srt	10.6 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
	4. Importing Data in Python.mp4	27.8 MB
	4. Importing Data in Python.srt	6.5 KB
	4. Introduction to Jupyter.mp4	40.9 MB
	4. Introduction to Jupyter.srt	13.2 KB
	4. Measures of Centers.mp4	38.6 MB
	4. Measures of Centers.srt	7.9 KB
	4. Outlier Treatment in Python.mp4	47.3 MB
	4. Outlier Treatment in Python.srt	9.6 KB
	4. Result of Simple Logistic Regression.mp4	26.9 MB
	4. Result of Simple Logistic Regression.srt	5.9 KB
	5. Arithmetic operators in Python Python Basics.mp4	12.7 MB
	5. Arithmetic operators in Python Python Basics.srt	4.4 KB
	5. Logistic with multiple predictors.mp4	8.5 MB
	5. Logistic with multiple predictors.srt	3 KB
	5. Measures of Dispersion.mp4	22.9 MB
	5. Measures of Dispersion.srt	5.2 KB
	5. Missing Value Imputation in Python.mp4	22.6 MB
	5. Missing Value Imputation in Python.srt	4.8 KB
	5. Simple Linear Regression in Python.mp4	63.4 MB
	5. Simple Linear Regression in Python.srt	13.1 KB
	5. Univariate analysis and EDD.mp4	24.2 MB
	5. Univariate analysis and EDD.srt	4 KB
	6. EDD in Python.mp4	61.8 MB
	6. EDD in Python.srt	11.6 KB
	6. Multiple Linear Regression.mp4	34.3 MB
	6. Multiple Linear Regression.srt	6.3 KB
	6. Strings in Python Python Basics.mp4	64.4 MB
	6. Strings in Python Python Basics.srt	18 KB
	6. Training multiple predictor Logistic model in Python.mp4	26.2 MB
	6. Training multiple predictor Logistic model in Python.srt	6 KB
	6. Variable transformation and Deletion in Python.mp4	29.2 MB
	6. Variable transformation and Deletion in Python.srt	4.3 KB
	7. Confusion Matrix.mp4	21.1 MB
	7. Confusion Matrix.srt	4.9 KB
	7. Dummy variable creation in Python.mp4	26.4 MB
	7. Dummy variable creation in Python.srt	6.1 KB
	7. Lists, Tuples and Directories Python Basics.mp4	60.3 MB
	7. Lists, Tuples and Directories Python Basics.srt	20.1 KB
	7. Outlier Treatment.mp4	24.5 MB
	7. Outlier Treatment.srt	5.1 KB
	7. The F - statistic.mp4	56 MB
	7. The F - statistic.srt	9.7 KB
	8. Creating Confusion Matrix in Python.mp4	51.3 MB
	8. Creating Confusion Matrix in Python.srt	10.8 KB
	8. Interpreting results of Categorical variables.mp4	22.5 MB
	8. Interpreting results of Categorical variables.srt	5.9 KB
	8. Outlier Treatment in Python.mp4	70.2 MB
	8. Outlier Treatment in Python.srt	14.1 KB
	8. Working with Numpy Library of Python.mp4	43.9 MB
	8. Working with Numpy Library of Python.srt	11.8 KB
	9. Evaluating performance of model.mp4	35.2 MB
	9. Evaluating performance of model.srt	9.4 KB
	9. Missing Value Imputation.mp4	25 MB
	9. Missing Value Imputation.srt	4.2 KB
	9. Multiple Linear Regression in Python.mp4	69.7 MB
	9. Multiple Linear Regression in Python.srt	14.3 KB
	9. Working with Pandas Library of Python.mp4	46.9 MB
	9. Working with Pandas Library of Python.srt	10.1 KB
	[CourseClub.ME].url	102.4 B
	[FCS Forum].url	102.4 B
	[FreeCourseSite.com].url	102.4 B
	[GigaCourse.Com].url	0 B
▲ 140 total files

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

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

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