FreeCourseSite com Udemy Linear Regression and Logistic Regression in Python

FreeCourseSite com Udemy Linear Regression and Logistic Regression in Python

Name	[FreeCourseSite.com] Udemy - Linear Regression and Logistic Regression in Python	DOWNLOAD Copy Link
Total Size	2.7 GB
Total Files	140
Hash	46C902F596EDF163CC210076EE251DE3617C8EAF

/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	25.9 MB
1. Introduction.srt	3.8 KB
2. Course Resources.html	0.4 KB
/2. Setting up Python and Python Crash Course/
1. Installing Python and Anaconda.mp4	17.1 MB
1. Installing Python and Anaconda.srt	2.7 KB
10. Working with Seaborn Library of Python.mp4	42.3 MB
10. Working with Seaborn Library of Python.srt	8.8 KB
2. This is a milestone!.mp4	21.6 MB
2. This is a milestone!.srt	3.9 KB
3. Opening Jupyter Notebook.mp4	68.4 MB
3. Opening Jupyter Notebook.srt	10.1 KB
4. Introduction to Jupyter.mp4	42.9 MB
4. Introduction to Jupyter.srt	13.5 KB
5. Arithmetic operators in Python Python Basics.mp4	13.4 MB
5. Arithmetic operators in Python Python Basics.srt	4.5 KB
6. Strings in Python Python Basics.mp4	67.6 MB
6. Strings in Python Python Basics.srt	18.4 KB
7. Lists, Tuples and Directories Python Basics.mp4	63.3 MB
7. Lists, Tuples and Directories Python Basics.srt	20.6 KB
8. Working with Numpy Library of Python.mp4	46.0 MB
8. Working with Numpy Library of Python.srt	12.1 KB
9. Working with Pandas Library of Python.mp4	49.2 MB
9. Working with Pandas Library of Python.srt	10.4 KB
/3. Basics of Statistics/
1. Types of Data.mp4	22.8 MB
1. Types of Data.srt	5.2 KB
2. Types of Statistics.mp4	11.5 MB
2. Types of Statistics.srt	3.2 KB
3. Describing data Graphically.mp4	68.5 MB
3. Describing data Graphically.srt	13.1 KB
4. Measures of Centers.mp4	40.5 MB
4. Measures of Centers.srt	8.1 KB
5. Measures of Dispersion.mp4	24.0 MB
5. Measures of Dispersion.srt	5.4 KB
/4. Data Preprocessing before building Linear Regression Model/
1. Gathering Business Knowledge.mp4	23.4 MB
1. Gathering Business Knowledge.srt	4.2 KB
10. Missing Value Imputation in Python.mp4	24.5 MB
10. Missing Value Imputation in Python.srt	4.9 KB
11. Seasonality in Data.mp4	17.9 MB
11. Seasonality in Data.srt	4.1 KB
12. Bi-variate analysis and Variable transformation.mp4	105.3 MB
12. Bi-variate analysis and Variable transformation.srt	19.8 KB
13. Variable transformation and deletion in Python.mp4	46.2 MB
13. Variable transformation and deletion in Python.srt	9.2 KB
14. Non-usable variables.mp4	21.2 MB
14. Non-usable variables.srt	6.2 KB
15. Dummy variable creation Handling qualitative data.mp4	38.6 MB
15. Dummy variable creation Handling qualitative data.srt	5.9 KB
16. Dummy variable creation in Python.mp4	27.8 MB
16. Dummy variable creation in Python.srt	6.4 KB
17. Correlation Analysis.mp4	75.1 MB
17. Correlation Analysis.srt	12.2 KB
18. Correlation Analysis in Python.mp4	58.0 MB
18. Correlation Analysis in Python.srt	7.1 KB
19. Quiz.html	0.2 KB
2. Data Exploration.mp4	21.5 MB
2. Data Exploration.srt	4.0 KB
3. The Dataset and the Data Dictionary.mp4	72.7 MB
3. The Dataset and the Data Dictionary.srt	9.0 KB
4. Importing Data in Python.mp4	29.2 MB
4. Importing Data in Python.srt	6.6 KB
5. Univariate analysis and EDD.mp4	25.4 MB
5. Univariate analysis and EDD.srt	4.1 KB
6. EDD in Python.mp4	64.8 MB
6. EDD in Python.srt	11.9 KB
7. Outlier Treatment.mp4	25.7 MB
7. Outlier Treatment.srt	5.2 KB
8. Outlier Treatment in Python.mp4	73.7 MB
8. Outlier Treatment in Python.srt	14.5 KB
9. Missing Value Imputation.mp4	26.2 MB
9. Missing Value Imputation.srt	4.3 KB
/5. Building the Linear Regression Model/
1. The Problem Statement.mp4	9.8 MB
1. The Problem Statement.srt	1.7 KB
10. Test-train split.mp4	43.9 MB
10. Test-train split.srt	11.1 KB
11. Bias Variance trade-off.mp4	26.3 MB
11. Bias Variance trade-off.srt	7.1 KB
12. More about test-train split.html	0.6 KB
13. Test train split in Python.mp4	47.1 MB
13. Test train split in Python.srt	8.9 KB
2. Basic Equations and Ordinary Least Squares (OLS) method.mp4	45.5 MB
2. Basic Equations and Ordinary Least Squares (OLS) method.srt	10.7 KB
3. Assessing accuracy of predicted coefficients.mp4	96.6 MB
3. Assessing accuracy of predicted coefficients.srt	17.8 KB
4. Assessing Model Accuracy RSE and R squared.mp4	45.7 MB
4. Assessing Model Accuracy RSE and R squared.srt	8.6 KB
5. Simple Linear Regression in Python.mp4	66.5 MB
5. Simple Linear Regression in Python.srt	13.4 KB
6. Multiple Linear Regression.mp4	36.0 MB
6. Multiple Linear Regression.srt	6.5 KB
7. The F - statistic.mp4	58.8 MB
7. The F - statistic.srt	9.9 KB
8. Interpreting results of Categorical variables.mp4	23.6 MB
8. Interpreting results of Categorical variables.srt	6.1 KB
9. Multiple Linear Regression in Python.mp4	73.1 MB
9. Multiple Linear Regression in Python.srt	14.6 KB
/6. Logistic Regression Data Preprocessing/
1. The Dataset and the Data Dictionary.mp4	83.0 MB
1. The Dataset and the Data Dictionary.srt	9.5 KB
2. Data Import in Python.mp4	23.1 MB
2. Data Import in Python.srt	5.4 KB
3. EDD in Python.mp4	81.3 MB
3. EDD in Python.srt	18.2 KB
4. Outlier Treatment in Python.mp4	49.6 MB
4. Outlier Treatment in Python.srt	9.8 KB
5. Missing Value Imputation in Python.mp4	23.7 MB
5. Missing Value Imputation in Python.srt	4.9 KB
6. Variable transformation and Deletion in Python.mp4	30.7 MB
6. Variable transformation and Deletion in Python.srt	4.4 KB
7. Dummy variable creation in Python.mp4	27.7 MB
7. Dummy variable creation in Python.srt	6.3 KB
/7. Building a Logistic Regression Model/
1. Why can't we use Linear Regression.mp4	17.8 MB
1. Why can't we use Linear Regression.srt	5.6 KB
10. Evaluating model performance in Python.mp4	9.4 MB
10. Evaluating model performance in Python.srt	2.7 KB
2. Logistic Regression.mp4	34.5 MB
2. Logistic Regression.srt	8.8 KB
3. Training a Simple Logistic Model in Python.mp4	50.2 MB
3. Training a Simple Logistic Model in Python.srt	10.9 KB
4. Result of Simple Logistic Regression.mp4	28.2 MB
4. Result of Simple Logistic Regression.srt	6.0 KB
5. Logistic with multiple predictors.mp4	8.9 MB
5. Logistic with multiple predictors.srt	3.0 KB
6. Training multiple predictor Logistic model in Python.mp4	27.5 MB
6. Training multiple predictor Logistic model in Python.srt	6.2 KB
7. Confusion Matrix.mp4	22.1 MB
7. Confusion Matrix.srt	5.0 KB
8. Creating Confusion Matrix in Python.mp4	53.8 MB
8. Creating Confusion Matrix in Python.srt	11.1 KB
9. Evaluating performance of model.mp4	36.9 MB
9. Evaluating performance of model.srt	9.6 KB
/8. Test-Train Split/
1. Test-Train Split.mp4	41.2 MB
1. Test-Train Split.srt	10.8 KB
2. Test-Train Split in Python.mp4	34.7 MB
2. Test-Train Split in Python.srt	7.6 KB
/9. Bonus Section/
1. The final milestone!.mp4	12.4 MB
1. The final milestone!.srt	1.8 KB
2. Congratulations & About your certificate.html	1.6 KB
Total files 140