Udemy - Data Science with Python Complete Course

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 8.1 GB
  • Uploaded By CourseClub
  • Downloads 229
  • Last checked 1 week ago
  • Date uploaded 3 years ago
  • Seeders 6
  • Leechers 13

Infohash : 5763668DD82E6ED276FE5B06EEFE8B57A7E0AA91



Data Science with Python Complete Course

Today Data Science and Machine Learning are used in almost every industry, including automobiles, banks, health, telecommunications, telecommunications, and more.

Created by Prashant Mishra
Last updated 1/2022
English
English [Auto]

For More Udemy Courses Visit: https://gigacourse.com
For More Courses Visit: https://Courseclub.me

Files:

[GigaCourse.Com] Udemy - Data Science with Python Complete Course 0. Websites you may like
  • [CourseClub.ME].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)
1. Introduction
  • 1. Getting Started with Data Science.mp4 (71.8 MB)
  • 1. Getting Started with Data Science.srt (13.9 KB)
10. Project Telecom Churn Production
  • 1. Project Part 1 Let's get our system ready.mp4 (112.6 MB)
  • 1. Project Part 1 Let's get our system ready.srt (18.4 KB)
  • 2. Project part 2.mp4 (57.6 MB)
  • 2. Project part 2.srt (10.4 KB)
  • 3. Project Part 3.mp4 (129.4 MB)
  • 3. Project Part 3.srt (24.1 KB)
  • 4. Project part 4.mp4 (113.9 MB)
  • 4. Project part 4.srt (21.7 KB)
  • 5. Project Let's Finalise it.mp4 (119.4 MB)
  • 5. Project Let's Finalise it.srt (21.6 KB)
  • [CourseClub.Me].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)
2. Basic Maths Required for Data Science
  • 1. Let's Start with Statistics.mp4 (128.9 MB)
  • 1. Let's Start with Statistics.srt (13.2 KB)
  • 10. Random Variables.mp4 (57.2 MB)
  • 10. Random Variables.srt (6.0 KB)
  • 11. Normal Probability Distribution.mp4 (104.2 MB)
  • 11. Normal Probability Distribution.srt (11.3 KB)
  • 12. Central Limit Theorem.mp4 (49.4 MB)
  • 12. Central Limit Theorem.srt (4.7 KB)
  • 13. Hypothesis Testing for Decision Making.mp4 (83.9 MB)
  • 13. Hypothesis Testing for Decision Making.srt (8.9 KB)
  • 2. Data Quality Issues.mp4 (62.7 MB)
  • 2. Data Quality Issues.srt (6.0 KB)
  • 3. Types of Statistics.mp4 (91.6 MB)
  • 3. Types of Statistics.srt (9.4 KB)
  • 4. Measures of Spread.mp4 (148.9 MB)
  • 4. Measures of Spread.srt (12.1 KB)
  • 5. Measures of Shapes.mp4 (57.6 MB)
  • 5. Measures of Shapes.srt (6.7 KB)
  • 6. Plots Visualisation.mp4 (87.5 MB)
  • 6. Plots Visualisation.srt (9.6 KB)
  • 7. Inferential Statistics.mp4 (46.0 MB)
  • 7. Inferential Statistics.srt (5.3 KB)
  • 8. Probability.mp4 (179.8 MB)
  • 8. Probability.srt (13.5 KB)
  • 9. Conditional Probability.mp4 (26.5 MB)
  • 9. Conditional Probability.srt (3.0 KB)
3. Python for Data Science
  • 1. Python for Data Science.mp4 (52.2 MB)
  • 1. Python for Data Science.srt (5.0 KB)
  • 10. Conversion of Data Types in Python.mp4 (54.2 MB)
  • 10. Conversion of Data Types in Python.srt (7.4 KB)
  • 11. Python IO functions.mp4 (14.2 MB)
  • 11. Python IO functions.srt (1.7 KB)
  • 12. Output Formatting.mp4 (75.6 MB)
  • 12. Output Formatting.srt (6.3 KB)
  • 13. User Input in Python.mp4 (32.5 MB)
  • 13. User Input in Python.srt (2.5 KB)
  • 14. Operators in Python.mp4 (120.7 MB)
  • 14. Operators in Python.srt (22.7 KB)
  • 15. Control Flow in Python.mp4 (273.5 MB)
  • 15. Control Flow in Python.srt (54.5 KB)
  • 16. Functions in Python.mp4 (117.2 MB)
  • 16. Functions in Python.srt (20.3 KB)
  • 17. Types of Functions in Python.mp4 (228.9 MB)
  • 17. Types of Functions in Python.srt (33.4 KB)
  • 18. Argument in a Function.mp4 (88.3 MB)
  • 18. Argument in a Function.srt (12.0 KB)
  • 19. Recursive Functions in Python.mp4 (78.2 MB)
  • 19. Recursive Functions in Python.srt (12.1 KB)
  • 2. Python Installation - Google Collab.mp4 (36.0 MB)
  • 2. Python Installation - Google Collab.srt (7.8 KB)
  • 20. Lambda or Anonymous Functions in Python.mp4 (47.0 MB)
  • 20. Lambda or Anonymous Functions in Python.srt (6.8 KB)
  • 3. Python Basics.mp4 (20.1 MB)
  • 3. Python Basics.srt (3.4 KB)
  • 4. Identifiers in Python.mp4 (35.6 MB)
  • 4. Identifiers in Python.srt (4.3 KB)
  • 5. Comments in Python.mp4 (42.4 MB)
  • 5. Comments in Python.srt (6.3 KB)
  • 6. Python Indentation.mp4 (38.3 MB)
  • 6. Python Indentation.srt (6.3 KB)
  • 7. Python Statements.mp4 (17.8 MB)
  • 7. Python Statements.srt (4.1 KB)
  • 8. Variables in Python.mp4 (43.6 MB)
  • 8. Variables in Python.srt (6.4 KB)
  • 9. Data Types & Related Stuffs in Python.mp4 (203.3 MB)
  • 9. Data Types & Related Stuffs in Python.srt (32.7 KB)
  • [CourseClub.Me].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)
4. Advance Python
  • 1. Advance Programming in Python.mp4 (359.6 MB)
  • 1. Advance Programming in Python.srt (72.9 KB)
  • 2. Advance Programming in Python Part 2.mp4 (599.9 MB)
  • 2. Advance Programming in Python Part 2.srt (121.5 KB)
  • 3. Data Visualisations.mp4 (263.6 MB)
  • 3. Data Visualisations.srt (45.4 KB)
  • 4. Bivariate Plotting.mp4 (148.8 MB)
  • 4. Bivariate Plotting.srt (37.0 KB)
  • 5. Multivariate Plotting.mp4 (336.5 MB)
  • 5. Multivariate Plotting.srt (61.5 KB)
5. Let's dig deeper
  • 1. EDA.mp4 (27.4 MB)
  • 1. EDA.srt (9.8 KB)
  • 2. EDA on Mc'donalds Data Set.mp4 (689.8 MB)
  • 2. EDA on Mc'donalds Data Set.srt (112.0 KB)
  • 3. Exploratory Data Analysis.mp4 (438.8 MB)
  • 3. Exploratory Data Analysis.srt (78.0 KB)
6. Let's Explore in to Machine Learning
  • 1. Introduction Machine Learning.mp4 (81.4 MB)
  • 1. Introduction Machine Learning.srt (19.6 KB)
  • 2. Unsupervised Learning.mp4 (29.3 MB)
  • 2. Unsupervised Learning.srt (6.7 KB)
  • 3. Reinforement Learning.mp4 (43.1 MB)
  • 3. Reinforement Learning.srt (9.0 KB)
  • [CourseClub.Me].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)
7. Module Seven
  • 1. Linear Regression.mp4 (150.1 MB)
  • 1. Linear Regression.srt (37.2 KB)
  • 10. Working on Titanic Data Set.mp4 (84.7 MB)
  • 10. Working on Titanic Data Set.srt (13.7 KB)
  • 11. Random Forest.mp4 (26.1 MB)
  • 11. Random Forest.srt (5.9 KB)
  • 12. Types of Random Forest.mp4 (3.8 MB)
  • 12. Types of Random Forest.srt (1.4 KB)
  • 13. Why Random Forest.mp4 (9.5 MB)
  • 13. Why Random Forest.srt (2.5 KB)
  • 14. Application of Random Forest.mp4 (18.0 MB)
  • 14. Application of Random Forest.srt (3.3 KB)
  • 15. Random Forest Implementation on Titanic Data Set.mp4 (73.6 MB)
  • 15. Random Forest Implementation on Titanic Data Set.srt (12.3 KB)
  • 16. Model Evaluation Technique.mp4 (31.1 MB)
  • 16. Model Evaluation Technique.srt (7.9 KB)
  • 17. Concept of R-Squared.mp4 (26.8 MB)
  • 17. Concept of R-Squared.srt (5.7 KB)
  • 18. Linear Regression.mp4 (76.2 MB)
  • 18. Linear Regression.srt (11.5 KB)
  • 19. Classification.mp4 (21.7 MB)
  • 19. Classification.srt (5.8 KB)
  • 2. How to use Linear Regression.mp4 (303.6 MB)
  • 2. How to use Linear Regression.srt (56.8 KB)
  • 20. Confusion Matrix.mp4 (37.2 MB)
  • 20. Confusion Matrix.srt (8.6 KB)
  • 21. Recall Sensitivity True Rate of Positive.mp4 (22.9 MB)
  • 21. Recall Sensitivity True Rate of Positive.srt (5.2 KB)
  • 22. FB score.mp4 (36.2 MB)
  • 22. FB score.srt (11.1 KB)
  • 23. AUC ROC curve.mp4 (36.5 MB)
  • 23. AUC ROC curve.srt (8.5 KB)
  • 24. Model Evaluation recall Curve.mp4 (90.3 MB)
  • 24. Model Evaluation recall Curve.srt (15.2 KB)
  • 3. Logistic Regression.mp4 (156.3 MB)
  • 3. Logistic Regression.srt (40.0 KB)
  • 4. Logistic Regression on Titanic Data Set.mp4 (141.0 MB)
  • 4. Logistic Regression on Titanic Data Set.srt (22.3 KB)
  • 5. Decision Tree.mp4 (27.0 MB)
  • 5. Decision Tree.srt (7.0 KB)
  • 6. Algorithms used in Decision Treee.mp4 (86.7 MB)
  • 6. Algorithms used in Decision Treee.srt (24.1 KB)
  • 7. Gini Index.mp4 (39.1 MB)
  • 7. Gini Index.srt (11.8 KB)
  • 8. Issues with Decision Tree.mp4 (36.7 MB)
  • 8. Issues with Decision Tree.srt (8.5 KB)
  • 9. Applications of Decision Tree.mp4 (13.1 MB)
  • 9. Applications of Decision Tree.srt (2.9 KB)
8. Module Eight
  • 1. Data Analysis using R.mp4 (19.8 MB)
  • 1. Data Analysis using R.srt (4.3 KB)
  • 2. Data Analysis using R part 2.mp4 (22.7 MB)
  • 2. Data Analysis using R part 2.srt (4.8 KB)
  • 3. All about R Language.mp4 (58.2 MB)
  • 3. All about R Language.srt (11.8 KB)
9. Featured Topics in Java
  • 1. Big Data.mp4 (84.6 MB)
  • 1. Big Data.srt (14.6 KB)
  • 2. Intro to Hadoop.mp4 (58.0 MB)
  • 2. Intro to Hadoop.srt (10.5 KB)
  • 3. Intro to Tableu.mp4 (57.0 MB)
  • 3. Intro to Tableu.srt (12.5 KB)
  • 4. Intro to Business Analytics.mp4 (53.9 MB)
  • 4. Intro to Business Analytics.srt (12.0 KB)
  • [CourseClub.Me].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)

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