Name [FreeCourseSite.com] Udemy - Data Science with Python Complete Course

File Type video

Size 8.08GB

UpdateDate 2025-3-26

hash *****7A6E53B9EFAC7A43362A4A21C79B61D0FF

Hot 1

Files 0. Websites you may like/[CourseClub.ME].url | 122B 0. Websites you may like/[FCS Forum].url | 133B 0. Websites you may like/[FreeCourseSite.com].url | 127B 0. Websites you may like/[GigaCourse.Com].url | 49B 1. Introduction/1. Getting Started with Data Science.mp4 | 71.82MB 1. Introduction/1. Getting Started with Data Science.srt | 13.88KB 10. Project Telecom Churn Production/1. Project Part 1 Let's get our system ready.mp4 | 112.64MB 10. Project Telecom Churn Production/1. Project Part 1 Let's get our system ready.srt | 18.44KB 10. Project Telecom Churn Production/2. Project part 2.mp4 | 57.63MB 10. Project Telecom Churn Production/2. Project part 2.srt | 10.36KB 10. Project Telecom Churn Production/3. Project Part 3.mp4 | 129.40MB 10. Project Telecom Churn Production/3. Project Part 3.srt | 24.07KB 10. Project Telecom Churn Production/4. Project part 4.mp4 | 113.85MB 10. Project Telecom Churn Production/4. Project part 4.srt | 21.68KB 10. Project Telecom Churn Production/5. Project Let's Finalise it.mp4 | 119.43MB 10. Project Telecom Churn Production/5. Project Let's Finalise it.srt | 21.62KB 2. Basic Maths Required for Data Science/1. Let's Start with Statistics.mp4 | 128.91MB 2. Basic Maths Required for Data Science/1. Let's Start with Statistics.srt | 13.25KB 2. Basic Maths Required for Data Science/10. Random Variables.mp4 | 57.22MB 2. Basic Maths Required for Data Science/10. Random Variables.srt | 6.04KB 2. Basic Maths Required for Data Science/11. Normal Probability Distribution.mp4 | 104.21MB 2. Basic Maths Required for Data Science/11. Normal Probability Distribution.srt | 11.28KB 2. Basic Maths Required for Data Science/12. Central Limit Theorem.mp4 | 49.37MB 2. Basic Maths Required for Data Science/12. Central Limit Theorem.srt | 4.70KB 2. Basic Maths Required for Data Science/13. Hypothesis Testing for Decision Making.mp4 | 83.86MB 2. Basic Maths Required for Data Science/13. Hypothesis Testing for Decision Making.srt | 8.88KB 2. Basic Maths Required for Data Science/2. Data Quality Issues.mp4 | 62.75MB 2. Basic Maths Required for Data Science/2. Data Quality Issues.srt | 5.98KB 2. Basic Maths Required for Data Science/3. Types of Statistics.mp4 | 91.56MB 2. Basic Maths Required for Data Science/3. Types of Statistics.srt | 9.44KB 2. Basic Maths Required for Data Science/4. Measures of Spread.mp4 | 148.93MB 2. Basic Maths Required for Data Science/4. Measures of Spread.srt | 12.06KB 2. Basic Maths Required for Data Science/5. Measures of Shapes.mp4 | 57.64MB 2. Basic Maths Required for Data Science/5. Measures of Shapes.srt | 6.67KB 2. Basic Maths Required for Data Science/6. Plots Visualisation.mp4 | 87.49MB 2. Basic Maths Required for Data Science/6. Plots Visualisation.srt | 9.56KB 2. Basic Maths Required for Data Science/7. Inferential Statistics.mp4 | 45.98MB 2. Basic Maths Required for Data Science/7. Inferential Statistics.srt | 5.28KB 2. Basic Maths Required for Data Science/8. Probability.mp4 | 179.78MB 2. Basic Maths Required for Data Science/8. Probability.srt | 13.45KB 2. Basic Maths Required for Data Science/9. Conditional Probability.mp4 | 26.46MB 2. Basic Maths Required for Data Science/9. Conditional Probability.srt | 2.97KB 3. Python for Data Science/1. Python for Data Science.mp4 | 52.24MB 3. Python for Data Science/1. Python for Data Science.srt | 5.02KB 3. Python for Data Science/10. Conversion of Data Types in Python.mp4 | 54.20MB 3. Python for Data Science/10. Conversion of Data Types in Python.srt | 7.42KB 3. Python for Data Science/11. Python IO functions.mp4 | 14.24MB 3. Python for Data Science/11. Python IO functions.srt | 1.70KB 3. Python for Data Science/12. Output Formatting.mp4 | 75.60MB 3. Python for Data Science/12. Output Formatting.srt | 6.27KB 3. Python for Data Science/13. User Input in Python.mp4 | 32.47MB 3. Python for Data Science/13. User Input in Python.srt | 2.50KB 3. Python for Data Science/14. Operators in Python.mp4 | 120.69MB 3. Python for Data Science/14. Operators in Python.srt | 22.66KB 3. Python for Data Science/15. Control Flow in Python.mp4 | 273.50MB 3. Python for Data Science/15. Control Flow in Python.srt | 54.46KB 3. Python for Data Science/16. Functions in Python.mp4 | 117.24MB 3. Python for Data Science/16. Functions in Python.srt | 20.27KB 3. Python for Data Science/17. Types of Functions in Python.mp4 | 228.92MB 3. Python for Data Science/17. Types of Functions in Python.srt | 33.37KB 3. Python for Data Science/18. Argument in a Function.mp4 | 88.29MB 3. Python for Data Science/18. Argument in a Function.srt | 12.05KB 3. Python for Data Science/19. Recursive Functions in Python.mp4 | 78.22MB 3. Python for Data Science/19. Recursive Functions in Python.srt | 12.07KB 3. Python for Data Science/2. Python Installation - Google Collab.mp4 | 36.01MB 3. Python for Data Science/2. Python Installation - Google Collab.srt | 7.76KB 3. Python for Data Science/20. Lambda or Anonymous Functions in Python.mp4 | 47.04MB 3. Python for Data Science/20. Lambda or Anonymous Functions in Python.srt | 6.79KB 3. Python for Data Science/3. Python Basics.mp4 | 20.12MB 3. Python for Data Science/3. Python Basics.srt | 3.39KB 3. Python for Data Science/4. Identifiers in Python.mp4 | 35.57MB 3. Python for Data Science/4. Identifiers in Python.srt | 4.29KB 3. Python for Data Science/5. Comments in Python.mp4 | 42.41MB 3. Python for Data Science/5. Comments in Python.srt | 6.28KB 3. Python for Data Science/6. Python Indentation.mp4 | 38.34MB 3. Python for Data Science/6. Python Indentation.srt | 6.26KB 3. Python for Data Science/7. Python Statements.mp4 | 17.82MB 3. Python for Data Science/7. Python Statements.srt | 4.08KB 3. Python for Data Science/8. Variables in Python.mp4 | 43.55MB 3. Python for Data Science/8. Variables in Python.srt | 6.36KB 3. Python for Data Science/9. Data Types & Related Stuffs in Python.mp4 | 203.27MB 3. Python for Data Science/9. Data Types & Related Stuffs in Python.srt | 32.66KB 4. Advance Python/1. Advance Programming in Python.mp4 | 359.55MB 4. Advance Python/1. Advance Programming in Python.srt | 72.86KB 4. Advance Python/2. Advance Programming in Python Part 2.mp4 | 599.88MB 4. Advance Python/2. Advance Programming in Python Part 2.srt | 121.46KB 4. Advance Python/3. Data Visualisations.mp4 | 263.61MB 4. Advance Python/3. Data Visualisations.srt | 45.44KB 4. Advance Python/4. Bivariate Plotting.mp4 | 148.84MB 4. Advance Python/4. Bivariate Plotting.srt | 36.96KB 4. Advance Python/5. Multivariate Plotting.mp4 | 336.46MB 4. Advance Python/5. Multivariate Plotting.srt | 61.49KB 5. Let's dig deeper/1. EDA.mp4 | 27.41MB 5. Let's dig deeper/1. EDA.srt | 9.79KB 5. Let's dig deeper/2. EDA on Mc'donalds Data Set.mp4 | 689.80MB 5. Let's dig deeper/2. EDA on Mc'donalds Data Set.srt | 111.97KB 5. Let's dig deeper/3. Exploratory Data Analysis.mp4 | 438.81MB 5. Let's dig deeper/3. Exploratory Data Analysis.srt | 77.99KB 6. Let's Explore in to Machine Learning/1. Introduction Machine Learning.mp4 | 81.42MB 6. Let's Explore in to Machine Learning/1. Introduction Machine Learning.srt | 19.57KB 6. Let's Explore in to Machine Learning/2. Unsupervised Learning.mp4 | 29.34MB 6. Let's Explore in to Machine Learning/2. Unsupervised Learning.srt | 6.70KB 6. Let's Explore in to Machine Learning/3. Reinforement Learning.mp4 | 43.08MB 6. Let's Explore in to Machine Learning/3. Reinforement Learning.srt | 8.95KB 7. Module Seven/1. Linear Regression.mp4 | 150.10MB 7. Module Seven/1. Linear Regression.srt | 37.20KB 7. Module Seven/10. Working on Titanic Data Set.mp4 | 84.75MB 7. Module Seven/10. Working on Titanic Data Set.srt | 13.68KB 7. Module Seven/11. Random Forest.mp4 | 26.10MB 7. Module Seven/11. Random Forest.srt | 5.88KB 7. Module Seven/12. Types of Random Forest.mp4 | 3.76MB 7. Module Seven/12. Types of Random Forest.srt | 1.44KB 7. Module Seven/13. Why Random Forest.mp4 | 9.53MB 7. Module Seven/13. Why Random Forest.srt | 2.48KB 7. Module Seven/14. Application of Random Forest.mp4 | 17.99MB 7. Module Seven/14. Application of Random Forest.srt | 3.29KB 7. Module Seven/15. Random Forest Implementation on Titanic Data Set.mp4 | 73.59MB 7. Module Seven/15. Random Forest Implementation on Titanic Data Set.srt | 12.33KB 7. Module Seven/16. Model Evaluation Technique.mp4 | 31.14MB 7. Module Seven/16. Model Evaluation Technique.srt | 7.89KB 7. Module Seven/17. Concept of R-Squared.mp4 | 26.84MB 7. Module Seven/17. Concept of R-Squared.srt | 5.73KB 7. Module Seven/18. Linear Regression.mp4 | 76.20MB 7. Module Seven/18. Linear Regression.srt | 11.51KB 7. Module Seven/19. Classification.mp4 | 21.68MB 7. Module Seven/19. Classification.srt | 5.76KB 7. Module Seven/2. How to use Linear Regression.mp4 | 303.55MB 7. Module Seven/2. How to use Linear Regression.srt | 56.83KB 7. Module Seven/20. Confusion Matrix.mp4 | 37.17MB 7. Module Seven/20. Confusion Matrix.srt | 8.64KB 7. Module Seven/21. Recall Sensitivity True Rate of Positive.mp4 | 22.85MB 7. Module Seven/21. Recall Sensitivity True Rate of Positive.srt | 5.24KB 7. Module Seven/22. FB score.mp4 | 36.24MB 7. Module Seven/22. FB score.srt | 11.07KB 7. Module Seven/23. AUC ROC curve.mp4 | 36.48MB 7. Module Seven/23. AUC ROC curve.srt | 8.45KB 7. Module Seven/24. Model Evaluation recall Curve.mp4 | 90.30MB 7. Module Seven/24. Model Evaluation recall Curve.srt | 15.25KB 7. Module Seven/3. Logistic Regression.mp4 | 156.34MB 7. Module Seven/3. Logistic Regression.srt | 40.02KB 7. Module Seven/4. Logistic Regression on Titanic Data Set.mp4 | 141.05MB 7. Module Seven/4. Logistic Regression on Titanic Data Set.srt | 22.32KB 7. Module Seven/5. Decision Tree.mp4 | 27.03MB 7. Module Seven/5. Decision Tree.srt | 6.96KB 7. Module Seven/6. Algorithms used in Decision Treee.mp4 | 86.75MB 7. Module Seven/6. Algorithms used in Decision Treee.srt | 24.05KB 7. Module Seven/7. Gini Index.mp4 | 39.13MB 7. Module Seven/7. Gini Index.srt | 11.84KB 7. Module Seven/8. Issues with Decision Tree.mp4 | 36.70MB 7. Module Seven/8. Issues with Decision Tree.srt | 8.54KB 7. Module Seven/9. Applications of Decision Tree.mp4 | 13.06MB 7. Module Seven/9. Applications of Decision Tree.srt | 2.93KB 8. Module Eight/1. Data Analysis using R.mp4 | 19.78MB 8. Module Eight/1. Data Analysis using R.srt | 4.29KB 8. Module Eight/2. Data Analysis using R part 2.mp4 | 22.74MB 8. Module Eight/2. Data Analysis using R part 2.srt | 4.77KB 8. Module Eight/3. All about R Language.mp4 | 58.24MB 8. Module Eight/3. All about R Language.srt | 11.78KB 9. Featured Topics in Java/1. Big Data.mp4 | 84.59MB 9. Featured Topics in Java/1. Big Data.srt | 14.62KB 9. Featured Topics in Java/2. Intro to Hadoop.mp4 | 57.96MB 9. Featured Topics in Java/2. Intro to Hadoop.srt | 10.50KB 9. Featured Topics in Java/3. Intro to Tableu.mp4 | 56.97MB 9. Featured Topics in Java/3. Intro to Tableu.srt | 12.50KB 9. Featured Topics in Java/4. Intro to Business Analytics.mp4 | 53.86MB 9. Featured Topics in Java/4. Intro to Business Analytics.srt | 11.95KB