GigaCourse Com Udemy Machine Learning in Python with Machine Learning Projects 21 Determining Whether Person should be Granted Loan Understanding the Dataset srt

GigaCourse Com Udemy Machine Learning in Python with Machine Learning Projects
21 Determining Whether Person should be Granted Loan Understanding the Dataset srt

Name	[GigaCourse.Com] Udemy - Machine Learning in Python with 5 Machine Learning Projects	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	22.4 GB
Total Files	829
Last Seen	2025-09-04 23:48
Hash	98F5357292CB5751E089A270D7C1E4570D0CF166

/21. Determining Whether a Person should be Granted Loan/3. Understanding the Dataset.srt	2.3 KB
/21. Determining Whether a Person should be Granted Loan/3. Understanding the Dataset.mp4	43.1 MB
/21. Determining Whether a Person should be Granted Loan/1. Understanding the Problem Statement.srt	3.5 KB
/21. Determining Whether a Person should be Granted Loan/1. Understanding the Problem Statement.mp4	47.7 MB
/21. Determining Whether a Person should be Granted Loan/2. Setting up the Environment.srt	4.9 KB
/21. Determining Whether a Person should be Granted Loan/5. Data Cleaning.srt	5.0 KB
/21. Determining Whether a Person should be Granted Loan/7. Bivariate Data Analysis.srt	4.9 KB
/21. Determining Whether a Person should be Granted Loan/9. Applying Resampling.srt	3.6 KB
/21. Determining Whether a Person should be Granted Loan/8. Preparing the Data for Modelling.srt	3.1 KB
/21. Determining Whether a Person should be Granted Loan/2. Setting up the Environment.mp4	71.9 MB
/21. Determining Whether a Person should be Granted Loan/5. Data Cleaning.mp4	70.2 MB
/21. Determining Whether a Person should be Granted Loan/6. Univariate Data Visualizations.srt	4.4 KB
/21. Determining Whether a Person should be Granted Loan/7. Bivariate Data Analysis.mp4	73.6 MB
/21. Determining Whether a Person should be Granted Loan/9. Applying Resampling.mp4	59.7 MB
/21. Determining Whether a Person should be Granted Loan/4. Performing Descriptive Statistics.srt	6.2 KB
Showing first 15 files of 829 total files