[Tutorialsplanet.NET] Udemy - Data Science Bootcamp with 5 Data Science Projects

磁力链接/BT种子名称

[Tutorialsplanet.NET] Udemy - Data Science Bootcamp with 5 Data Science Projects

磁力链接/BT种子简介

种子哈希：85245ed0422917425b5bad4e53a4913884e17de9
文件大小： 12.5G
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收录时间：2022-01-14
最近下载：2024-11-25

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文件列表

  • 8. Statistics and Probability/27. Confidence Intervals.mp4 127.1 MB
  • 2. Python for Data Analysis/18. Time Complexity.mp4 126.1 MB
  • 2. Python for Data Analysis/22. Insertion and Selection Sort.mp4 125.9 MB
  • 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.8 MB
  • 2. Python for Data Analysis/23. Merge Sort.mp4 121.0 MB
  • 2. Python for Data Analysis/20. Binary Search.mp4 114.8 MB
  • 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.3 MB
  • 1. Python Fundamentals/3. Naming Convention for variables.mp4 107.1 MB
  • 10. Data Exploration/8. Exploring the Dabl Library.mp4 106.8 MB
  • 8. Statistics and Probability/8. Permutations and Combinations.mp4 101.7 MB
  • 2. Python for Data Analysis/19. Linear Search.mp4 100.0 MB
  • 8. Statistics and Probability/23. Sample Mean and Population Mean.mp4 90.3 MB
  • 8. Statistics and Probability/10. Quiz Solution.mp4 90.2 MB
  • 14. Capstone Project 4 Global Cost of Living/4. Extracting Latitude and Longitude from the L.mp4 86.9 MB
  • 5. Data Cleaning/6. Imputing missing values in a real-time scenario.mp4 86.6 MB
  • 10. Data Exploration/9. Exploring the Sweetviz Library.mp4 85.5 MB
  • 8. Statistics and Probability/5. Conditional Probability.mp4 84.3 MB
  • 3. Python Functions Deep Dive/9. Filter, Map, and Zip Functions.mp4 83.8 MB
  • 5. Data Cleaning/3. When should we delete the missing values.mp4 83.5 MB
  • 8. Statistics and Probability/13. Measures of Spread.mp4 82.8 MB
  • 1. Python Fundamentals/8. Arithmetic and Assignment Operators.mp4 81.8 MB
  • 11. Capstone Project 1 Players Performance Analysis/5. Data Visualization.mp4 81.6 MB
  • 15. Capstone Project 5 Customer Segmentation Engine/3. Data Analysis and Visualization.mp4 81.5 MB
  • 1. Python Fundamentals/5. Scope of Variables.mp4 80.9 MB
  • 4. Python for Data Science/21. Merging and Concatenating DataFrames.mp4 80.4 MB
  • 9. Hypothesis Testing/4. P-Value and Level of Significance.mp4 79.4 MB
  • 8. Statistics and Probability/6. Set Theory.mp4 79.4 MB
  • 2. Python for Data Analysis/21. Bubble Sort.mp4 79.2 MB
  • 2. Python for Data Analysis/9. Introduction to Sets.mp4 79.1 MB
  • 8. Statistics and Probability/4. Basic Probability.mp4 78.0 MB
  • 11. Capstone Project 1 Players Performance Analysis/3. Data Cleaning.mp4 77.9 MB
  • 4. Python for Data Science/7. Meta Characters for Regular Expressions.mp4 77.7 MB
  • 5. Data Cleaning/4. Imputing missing values with the business logic.mp4 77.6 MB
  • 2. Python for Data Analysis/25. Quiz Solution.mp4 76.7 MB
  • 8. Statistics and Probability/26. Maximum Likelihood Estimation.mp4 76.1 MB
  • 8. Statistics and Probability/11. Types of Data.mp4 74.8 MB
  • 8. Statistics and Probability/29. Quiz Solution.mp4 74.5 MB
  • 7. Data Visualizations/3. Multivariate Analysis.mp4 74.3 MB
  • 9. Hypothesis Testing/7. One Sampled T Test.mp4 72.8 MB
  • 5. Data Cleaning/9. How outliers can be harmful for machine learning models.mp4 72.4 MB
  • 4. Python for Data Science/20. Indexing, Selecting, and Filtering Data using Pandas.mp4 72.3 MB
  • 10. Data Exploration/3. Data Profiling.mp4 71.7 MB
  • 13. Capstone Project 3 Movie Recommender Systems/16. Recommending Similar Genres and Movies.mp4 71.6 MB
  • 9. Hypothesis Testing/12. One Sampled Z Test.mp4 71.1 MB
  • 8. Statistics and Probability/12. Measures of Central Tendency.mp4 71.1 MB
  • 2. Python for Data Analysis/6. Introduction to Dictionaries.mp4 70.1 MB
  • 8. Statistics and Probability/25. Bias and Variance.mp4 69.4 MB
  • 1. Python Fundamentals/18. If, elif, and else.mp4 69.1 MB
  • 1. Python Fundamentals/1. Why should you learn Python.mp4 68.9 MB
  • 4. Python for Data Science/18. Reading Datasets using Pandas.mp4 68.9 MB
  • 5. Data Cleaning/1. Causes and Impact of Missing Values.mp4 67.5 MB
  • 8. Statistics and Probability/16. Quiz Solution.mp4 67.4 MB
  • 5. Data Cleaning/10. Finding out outliers from the data.mp4 66.3 MB
  • 3. Python Functions Deep Dive/18. Solving the Fibonacci Problem using Recursion.mp4 65.8 MB
  • 1. Python Fundamentals/9. Comparison, Logical, and Bitwise Operators.mp4 65.4 MB
  • 3. Python Functions Deep Dive/23. Encapsulation.mp4 65.1 MB
  • 15. Capstone Project 5 Customer Segmentation Engine/4. KMeans Clustering Analysis.mp4 64.8 MB
  • 8. Statistics and Probability/3. Applications of Probability in Real Life.mp4 64.8 MB
  • 5. Data Cleaning/2. Types of Missing Values.mp4 64.7 MB
  • 5. Data Cleaning/12. Deleting and Capping the outliers.mp4 63.8 MB
  • 13. Capstone Project 3 Movie Recommender Systems/13. Comparing Critically acclaimed Actors.mp4 63.6 MB
  • 2. Python for Data Analysis/8. Nested Dictionaries.mp4 63.4 MB
  • 8. Statistics and Probability/22. Quiz Solution.mp4 62.4 MB
  • 8. Statistics and Probability/7. Bayes' Theorem.mp4 61.6 MB
  • 2. Python for Data Analysis/10. Set Operations.mp4 61.4 MB
  • 4. Python for Data Science/17. Quiz Solution.mp4 60.4 MB
  • 7. Data Visualizations/1. Univariate Analysis.mp4 59.9 MB
  • 8. Statistics and Probability/24. Central Limit Theorem.mp4 59.8 MB
  • 5. Data Cleaning/15. Quiz Solution.mp4 58.8 MB
  • 4. Python for Data Science/10. Sets for Regular Expressions.mp4 58.8 MB
  • 14. Capstone Project 4 Global Cost of Living/7. Top N and Bottom N Analysis.mp4 58.7 MB
  • 5. Data Cleaning/5. Imputing missing values with MeanMedianMode.mp4 58.7 MB
  • 10. Data Exploration/13. Quiz Solution.mp4 58.6 MB
  • 3. Python Functions Deep Dive/17. Solving the Factorial Problem using Recursion.mp4 58.1 MB
  • 9. Hypothesis Testing/2. Null Hypothesis and Alternate Hypothesis.mp4 58.0 MB
  • 8. Statistics and Probability/18. Introduction to Normal Distribution.mp4 57.7 MB
  • 10. Data Exploration/2. Course curriculum walkthrough.mp4 57.4 MB
  • 4. Python for Data Science/24. Quiz Solution.mp4 57.4 MB
  • 3. Python Functions Deep Dive/10. List, set, and Dictionary Comprehensions.mp4 57.3 MB
  • 6. Query Analysis/12. Quiz Solution.mp4 57.0 MB
  • 3. Python Functions Deep Dive/2. Default Parameters in Functions.mp4 56.6 MB
  • 7. Data Visualizations/29. Quiz Solution.mp4 56.4 MB
  • 15. Capstone Project 5 Customer Segmentation Engine/1. Understanding the Problem Statement.mp4 56.1 MB
  • 3. Python Functions Deep Dive/8. Lambda Functions.mp4 55.7 MB
  • 1. Python Fundamentals/17. Quiz Solution.mp4 55.7 MB
  • 1. Python Fundamentals/19. For and While.mp4 55.6 MB
  • 12. Capstone Project 2 Startups Case Study and Analysis/4. Querying the data using Visualizations Part - 1.mp4 55.6 MB
  • 11. Capstone Project 1 Players Performance Analysis/1. Understanding the problem statement.mp4 55.6 MB
  • 12. Capstone Project 2 Startups Case Study and Analysis/3. Data Cleaning.mp4 55.5 MB
  • 9. Hypothesis Testing/6. Quiz Solution.mp4 55.3 MB
  • 9. Hypothesis Testing/1. What is Hypothesis Testing.mp4 54.9 MB
  • 11. Capstone Project 1 Players Performance Analysis/6. Query Analysis.mp4 54.4 MB
  • 13. Capstone Project 3 Movie Recommender Systems/4. Missing Values Imputation.mp4 54.4 MB
  • 6. Query Analysis/1. Aggregate functions used for Grouping.mp4 54.2 MB
  • 14. Capstone Project 4 Global Cost of Living/13. Analysing Cost of Essential Items.mp4 54.1 MB
  • 1. Python Fundamentals/13. String Formatting.mp4 53.8 MB
  • 13. Capstone Project 3 Movie Recommender Systems/6. Manipulating the Duration and Language Column.mp4 53.8 MB
  • 10. Data Exploration/4. Analyzing Target Data.mp4 53.7 MB
  • 4. Python for Data Science/13. Array Creation using Numpy.mp4 53.4 MB
  • 5. Data Cleaning/13. Dealing with outliers in a real-world scenario.mp4 53.3 MB
  • 5. Data Cleaning/11. Using Winsorization to deal with outliers.mp4 52.9 MB
  • 12. Capstone Project 2 Startups Case Study and Analysis/1. Understanding the Problem Statement.mp4 52.7 MB
  • 13. Capstone Project 3 Movie Recommender Systems/5. Top 10 Profitable Movies.mp4 52.5 MB
  • 13. Capstone Project 3 Movie Recommender Systems/7. Extracting the Movie Genres.mp4 52.2 MB
  • 5. Data Cleaning/8. Quiz Solution.mp4 51.6 MB
  • 1. Python Fundamentals/22. Quiz Solution.mp4 51.4 MB
  • 9. Hypothesis Testing/16. One Sampled ANOVA Test.mp4 51.3 MB
  • 7. Data Visualizations/17. Quiz Solution.mp4 51.2 MB
  • 2. Python for Data Analysis/13. Introduction to Stacks and Queues.mp4 51.1 MB
  • 2. Python for Data Analysis/1. Differences between Lists and Tuples.mp4 51.1 MB
  • 7. Data Visualizations/8. Bar, Line, and Area Charts.mp4 50.9 MB
  • 13. Capstone Project 3 Movie Recommender Systems/2. Taking a Deep Dive into the Dataset.mp4 50.8 MB
  • 9. Hypothesis Testing/13. Two Sampled Z Test.mp4 50.6 MB
  • 10. Data Exploration/6. Quiz Solution.mp4 50.4 MB
  • 14. Capstone Project 4 Global Cost of Living/12. Ranking Places based on their cost of living.mp4 50.4 MB
  • 14. Capstone Project 4 Global Cost of Living/1. Setting up Environment.mp4 50.3 MB
  • 7. Data Visualizations/18. Animation with Bubbleplot.mp4 50.1 MB
  • 3. Python Functions Deep Dive/7. Quiz Solution.mp4 50.0 MB
  • 8. Statistics and Probability/20. Using QQ Plots to check Normal Distribution.mp4 49.9 MB
  • 11. Capstone Project 1 Players Performance Analysis/4. Feature Engineering.mp4 49.8 MB
  • 13. Capstone Project 3 Movie Recommender Systems/12. Association between IMDB Rating and Duration.mp4 49.6 MB
  • 14. Capstone Project 4 Global Cost of Living/5. Performing Feature Engineering.mp4 49.4 MB
  • 7. Data Visualizations/5. Quiz Solution.mp4 49.4 MB
  • 13. Capstone Project 3 Movie Recommender Systems/15. Recommending Movies based on Languages and Actors.mp4 49.0 MB
  • 14. Capstone Project 4 Global Cost of Living/14. Analysing Quality of Life.mp4 49.0 MB
  • 1. Python Fundamentals/7. Quiz Solution.mp4 48.8 MB
  • 3. Python Functions Deep Dive/24. Polymorhism.mp4 48.5 MB
  • 13. Capstone Project 3 Movie Recommender Systems/11. Gross Comparison of Long and Short Movies.mp4 48.4 MB
  • 6. Query Analysis/19. Quiz Solution.mp4 48.1 MB
  • 14. Capstone Project 4 Global Cost of Living/11. Comparing Lifestyle in Indian Cities.mp4 47.8 MB
  • 13. Capstone Project 3 Movie Recommender Systems/1. Setting up the Environment.mp4 47.8 MB
  • 14. Capstone Project 4 Global Cost of Living/6. Comparing Lifestyle in different Countries.mp4 47.6 MB
  • 14. Capstone Project 4 Global Cost of Living/10. Comparing Some of the Most Popular Countries.mp4 47.5 MB
  • 7. Data Visualizations/6. Scatter Plots.mp4 47.3 MB
  • 7. Data Visualizations/2. Bivariate Analysis.mp4 47.1 MB
  • 5. Data Cleaning/16. Introduction to reindex, set_index, reset_index, and sort_index Functions.mp4 46.9 MB
  • 9. Hypothesis Testing/11. Quiz Solution.mp4 46.6 MB
  • 2. Python for Data Analysis/2. Operations on Lists.mp4 46.6 MB
  • 4. Python for Data Science/6. Quiz Solution.mp4 46.2 MB
  • 9. Hypothesis Testing/9. Paired Sampled T Test.mp4 46.1 MB
  • 10. Data Exploration/10. Using Color Gradients for better analysis.mp4 46.0 MB
  • 1. Python Fundamentals/14. String Methods.mp4 45.4 MB
  • 3. Python Functions Deep Dive/5. Python Modules.mp4 44.7 MB
  • 10. Data Exploration/1. Why EDA and how it is useful.mp4 44.3 MB
  • 13. Capstone Project 3 Movie Recommender Systems/10. Loss and Profit Analysis on English and Foreign Movies.mp4 44.3 MB
  • 5. Data Cleaning/23. Data Cleaning on Melbourne Housing Dataset.mp4 44.2 MB
  • 9. Hypothesis Testing/15. Quiz Solution.mp4 44.1 MB
  • 2. Python for Data Analysis/15. Implementing Stacks andd Queues using Deque.mp4 43.6 MB
  • 8. Statistics and Probability/14. Measures of Dependence.mp4 43.4 MB
  • 5. Data Cleaning/20. Introduction to Melt, Explode, and Squeeze Functions.mp4 43.4 MB
  • 8. Statistics and Probability/19. Concept of Skewness.mp4 43.0 MB
  • 1. Python Fundamentals/15. User Input.mp4 43.0 MB
  • 4. Python for Data Science/9. Special Characters for Regular Expressions.mp4 42.9 MB
  • 1. Python Fundamentals/20. Break and Continue.mp4 42.8 MB
  • 3. Python Functions Deep Dive/26. Quiz Solution.mp4 42.4 MB
  • 3. Python Functions Deep Dive/12. Quiz Solution.mp4 42.2 MB
  • 3. Python Functions Deep Dive/1. Introduction to Functions.mp4 42.2 MB
  • 9. Hypothesis Testing/8. Two Sampled T Test.mp4 42.2 MB
  • 10. Data Exploration/11. Best Practices for Data Exploration.mp4 42.0 MB
  • 4. Python for Data Science/15. Built-in Functions in Numpy.mp4 42.0 MB
  • 7. Data Visualizations/36. Network Charts.mp4 41.7 MB
  • 3. Python Functions Deep Dive/21. Introduction to Classes and Objects.mp4 41.5 MB
  • 2. Python for Data Analysis/17. Quiz Solution.mp4 41.4 MB
  • 9. Hypothesis Testing/19. Quiz Solution.mp4 41.3 MB
  • 14. Capstone Project 4 Global Cost of Living/15. Suggesting Better places to live.mp4 41.3 MB
  • 1. Python Fundamentals/10. Identity and Membership Operators.mp4 41.1 MB
  • 7. Data Visualizations/32. Funnel Charts.mp4 41.0 MB
  • 11. Capstone Project 1 Players Performance Analysis/7. Major Learnings from the project.mp4 40.8 MB
  • 9. Hypothesis Testing/17. Two Sampled ANOVA Test.mp4 40.7 MB
  • 9. Hypothesis Testing/23. Quiz Solution.mp4 40.7 MB
  • 7. Data Visualizations/24. Introduction to Ipywidgets.mp4 40.4 MB
  • 6. Query Analysis/8. Performing Cross Tabulation.mp4 40.4 MB
  • 7. Data Visualizations/38. Quiz Solution.mp4 40.4 MB
  • 6. Query Analysis/13. When to perform Filtering Operations.mp4 40.2 MB
  • 13. Capstone Project 3 Movie Recommender Systems/9. Analysing Which Genre is Most Bankable.mp4 40.2 MB
  • 14. Capstone Project 4 Global Cost of Living/9. Comparing different Lifestyle Factors.mp4 40.2 MB
  • 7. Data Visualizations/10. Statistical Charts.mp4 40.2 MB
  • 5. Data Cleaning/21. Data Cleaning on Big Mart Dataset.mp4 40.1 MB
  • 2. Python for Data Analysis/12. Quiz Solution.mp4 40.1 MB
  • 3. Python Functions Deep Dive/16. Quiz Solution.mp4 40.1 MB
  • 10. Data Exploration/7. Summarizing data.mp4 40.0 MB
  • 3. Python Functions Deep Dive/20. Quiz Solution.mp4 39.9 MB
  • 7. Data Visualizations/9. Facet Grids.mp4 39.8 MB
  • 5. Data Cleaning/18. Introduction to Split and Strip Function.mp4 39.7 MB
  • 4. Python for Data Science/8. Built-in Functions for Regular Expressions.mp4 39.4 MB
  • 2. Python for Data Analysis/7. Operations on Dictionaries.mp4 39.4 MB
  • 4. Python for Data Science/1. Introduction to datetime.mp4 39.3 MB
  • 5. Data Cleaning/22. Data Cleaning on Movie Dataset.mp4 39.1 MB
  • 4. Python for Data Science/22. Lambda, Map, and Apply Functions.mp4 39.0 MB
  • 2. Python for Data Analysis/5. Quiz Solution.mp4 38.8 MB
  • 9. Hypothesis Testing/20. Goodness of Fit Test.mp4 38.6 MB
  • 15. Capstone Project 5 Customer Segmentation Engine/5. Major Learnings from the projects.mp4 38.5 MB
  • 14. Capstone Project 4 Global Cost of Living/2. Understanding the Dataset.mp4 38.4 MB
  • 14. Capstone Project 4 Global Cost of Living/8. Performing Geo spatial Analysis.mp4 38.3 MB
  • 2. Python for Data Analysis/14. Implementing Stacks and Queues using Lists.mp4 38.3 MB
  • 4. Python for Data Science/14. Mathematical Operations using Numpy.mp4 38.1 MB
  • 3. Python Functions Deep Dive/4. Keyword Arguments.mp4 38.1 MB
  • 8. Statistics and Probability/17. Continuous vs Discrete Distributions.mp4 38.1 MB
  • 14. Capstone Project 4 Global Cost of Living/3. Understanding the Problem Statement.mp4 37.8 MB
  • 4. Python for Data Science/19. Plotting Data in Pandas.mp4 37.5 MB
  • 6. Query Analysis/15. Advanced Filtering Operations.mp4 37.4 MB
  • 6. Query Analysis/10. Interactive Grouping Operations.mp4 37.4 MB
  • 8. Statistics and Probability/1. Why you should learn Statistics and Probability.mp4 36.8 MB
  • 7. Data Visualizations/12. Subplots.mp4 36.5 MB
  • 3. Python Functions Deep Dive/14. Introduction to Analytical Functions.mp4 36.4 MB
  • 7. Data Visualizations/23. Quiz Solution.mp4 36.2 MB
  • 1. Python Fundamentals/12. Quiz Solution.mp4 35.9 MB
  • 11. Capstone Project 1 Players Performance Analysis/2. Setting up the Environment.mp4 35.8 MB
  • 9. Hypothesis Testing/3. Types of Error.mp4 35.5 MB
  • 7. Data Visualizations/26. Interactive Bivariate Analysis.mp4 35.5 MB
  • 1. Python Fundamentals/2. Installing Python and Jupyter Notebook.mp4 35.2 MB
  • 4. Python for Data Science/2. The date and time class.mp4 35.2 MB
  • 13. Capstone Project 3 Movie Recommender Systems/14. Top Movies based on Gross, and IMDB.mp4 35.1 MB
  • 13. Capstone Project 3 Movie Recommender Systems/17. Key Takeaways from this Project.mp4 35.0 MB
  • 7. Data Visualizations/30. Sunburst Charts.mp4 34.7 MB
  • 5. Data Cleaning/17. Introduction to Replace and Drop level Function.mp4 34.6 MB
  • 4. Python for Data Science/12. Quiz Solution.mp4 34.5 MB
  • 13. Capstone Project 3 Movie Recommender Systems/8. Top 10 Most Popular Movies on Social Media.mp4 34.2 MB
  • 3. Python Functions Deep Dive/22. Inheritance.mp4 34.1 MB
  • 12. Capstone Project 2 Startups Case Study and Analysis/5. Querying the data using Visualizations Part - 2.mp4 34.0 MB
  • 3. Python Functions Deep Dive/3. Positional Arguments.mp4 33.7 MB
  • 9. Hypothesis Testing/21. Test of Independence.mp4 33.4 MB
  • 7. Data Visualizations/7. Charts with Colorscale.mp4 33.3 MB
  • 12. Capstone Project 2 Startups Case Study and Analysis/6. Major learning from the Project.mp4 32.4 MB
  • 7. Data Visualizations/15. Maps.mp4 32.2 MB
  • 13. Capstone Project 3 Movie Recommender Systems/3. Understanding the Problem Statement.mp4 32.1 MB
  • 3. Python Functions Deep Dive/13. Introduction to Aggregate Functions.mp4 32.1 MB
  • 7. Data Visualizations/21. Animation with Choropleth Maps.mp4 32.1 MB
  • 6. Query Analysis/6. Using Pivot Tables for Grouping Operations.mp4 32.0 MB
  • 7. Data Visualizations/25. Interactive Univariate Analysis.mp4 31.3 MB
  • 8. Statistics and Probability/2. Walking through the course Content.mp4 30.8 MB
  • 7. Data Visualizations/11. Polar Charts.mp4 30.8 MB
  • 7. Data Visualizations/14. Waffle Charts.mp4 30.8 MB
  • 7. Data Visualizations/27. Interactive Multivariate Analysis.mp4 30.6 MB
  • 15. Capstone Project 5 Customer Segmentation Engine/2. Setting up the Environment.mp4 30.2 MB
  • 6. Query Analysis/5. Visualizing the Groupby Operations.mp4 30.1 MB
  • 2. Python for Data Analysis/3. Operations on Tuples.mp4 28.8 MB
  • 6. Query Analysis/2. Using Groupby for Grouping Operations.mp4 28.5 MB
  • 7. Data Visualizations/19. Animation with Facets.mp4 28.0 MB
  • 6. Query Analysis/3. Groupby with Idxmax and Idxmin functions.mp4 27.2 MB
  • 5. Data Cleaning/19. Introduction to Stack, and Unstack Functions.mp4 26.6 MB
  • 7. Data Visualizations/33. Gantt Charts.mp4 26.3 MB
  • 7. Data Visualizations/13. 3D Charts.mp4 25.8 MB
  • 6. Query Analysis/7. Difference between Groupby and Pivot tables.mp4 25.7 MB
  • 6. Query Analysis/4. Using Color scales for better visualization.mp4 24.6 MB
  • 7. Data Visualizations/31. Parallel Co-ordinate Charts.mp4 24.1 MB
  • 6. Query Analysis/9. Visualizing Cross tabulated Data.mp4 23.9 MB
  • 7. Data Visualizations/20. Animation with Scatter Maps.mp4 23.8 MB
  • 4. Python for Data Science/3. The datetime class.mp4 23.6 MB
  • 6. Query Analysis/14. Introduction to Simple Filtering Operations.mp4 23.1 MB
  • 6. Query Analysis/16. Filtering and Grouping Operations.mp4 22.8 MB
  • 7. Data Visualizations/35. Tree Maps.mp4 22.5 MB
  • 12. Capstone Project 2 Startups Case Study and Analysis/2. Setting up the Environment.mp4 22.3 MB
  • 6. Query Analysis/17. Interactive Filtering Operations.mp4 21.9 MB
  • 7. Data Visualizations/34. Ternary Charts.mp4 21.3 MB
  • 4. Python for Data Science/4. The timedelta class.mp4 20.3 MB
  • 5. Data Cleaning/6.2 fifa.csv 9.1 MB
  • 1. Python Fundamentals/1.1 Why should we learn Python.pptx 1.9 MB
  • 2. Python for Data Analysis/13.1 Introduction to Stacks and Queues.pptx 1.6 MB
  • 2. Python for Data Analysis/18.1 Time Complexity.pptx 1.2 MB
  • 4. Python for Data Science/21.2 Merging.pptx 1.0 MB
  • 5. Data Cleaning/10.3 bigmart.csv 869.5 kB
  • 5. Data Cleaning/13.2 bigmart.csv 869.5 kB
  • 1. Python Fundamentals/5.1 Scope of Variables.pptx 860.1 kB
  • 1. Python Fundamentals/4.1 Built in Data Types and Type Casting.pptx 830.9 kB
  • 3. Python Functions Deep Dive/17.1 Solving the Factorial Problem using Recursion.pptx 747.4 kB
  • 3. Python Functions Deep Dive/23.2 Encapsulation.pptx 743.2 kB
  • 3. Python Functions Deep Dive/18.1 Solving the Fibonacci Problem using Recursion.pptx 737.6 kB
  • 5. Data Cleaning/13.1 2. Dealing with outliers in a real-world scenario.ipynb 685.4 kB
  • 5. Data Cleaning/10.2 1. Finding Outliers from the data.ipynb 682.5 kB
  • 1. Python Fundamentals/3.2 Naming Convention for variables.pptx 614.8 kB
  • 2. Python for Data Analysis/22.1 Insertion and Selection Sort.pptx 611.7 kB
  • 2. Python for Data Analysis/21.1 Bubble Sort.pptx 600.0 kB
  • 2. Python for Data Analysis/20.1 Binary Search.pptx 599.2 kB
  • 2. Python for Data Analysis/19.1 Linear Search.pptx 597.2 kB
  • 2. Python for Data Analysis/23.1 Merge Sort.pptx 596.3 kB
  • 5. Data Cleaning/9.1 Outliers .pptx 595.8 kB
  • 5. Data Cleaning/12.1 Deleting and Capping Outliers.pptx 595.5 kB
  • 5. Data Cleaning/1.1 Causes & Impact of Missing Values.pptx 595.5 kB
  • 3. Python Functions Deep Dive/1.2 Introduction to Functions.pptx 592.2 kB
  • 5. Data Cleaning/2.1 Types of Missing Values.pptx 591.5 kB
  • 3. Python Functions Deep Dive/9.1 Filter, Map, and Zip Functions.pptx 591.3 kB
  • 5. Data Cleaning/11.1 Winsorization.pptx 588.5 kB
  • 3. Python Functions Deep Dive/8.1 Lambda Functions.pptx 588.2 kB
  • 5. Data Cleaning/5.1 Mode, Median, Mean.pptx 587.8 kB
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  • 4. Python for Data Science/21.1 4. Merging and Concatenating.ipynb 29.7 kB
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  • 8. Statistics and Probability/27. Confidence Intervals.srt 7.5 kB
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  • 2. Python for Data Analysis/18. Time Complexity.srt 6.4 kB
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  • 1. Python Fundamentals/14. String Methods.srt 6.1 kB
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  • 2. Python for Data Analysis/20. Binary Search.srt 5.7 kB
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  • 8. Statistics and Probability/23. Sample Mean and Population Mean.srt 5.6 kB
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  • 4. Python for Data Science/18.1 Iris.csv 5.1 kB
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  • 3. Python Functions Deep Dive/7. Quiz Solution.srt 5.0 kB
  • 7. Data Visualizations/8. Bar, Line, and Area Charts.srt 5.0 kB
  • 7. Data Visualizations/10. Statistical Charts.srt 5.0 kB
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  • 9. Hypothesis Testing/6. Quiz Solution.srt 5.0 kB
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  • 4. Python for Data Science/20. Indexing, Selecting, and Filtering Data using Pandas.srt 4.6 kB
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  • 7. Data Visualizations/17. Quiz Solution.srt 4.3 kB
  • 10. Data Exploration/13. Quiz Solution.srt 4.2 kB
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  • 5. Data Cleaning/23. Data Cleaning on Melbourne Housing Dataset.srt 4.0 kB
  • 13. Capstone Project 3 Movie Recommender Systems/11. Gross Comparison of Long and Short Movies.srt 4.0 kB
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  • 10. Data Exploration/10. Using Color Gradients for better analysis.srt 3.7 kB
  • 13. Capstone Project 3 Movie Recommender Systems/1. Setting up the Environment.srt 3.7 kB
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  • 7. Data Visualizations/24. Introduction to Ipywidgets.srt 3.6 kB
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  • 7. Data Visualizations/26. Interactive Bivariate Analysis.srt 3.6 kB
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  • 13. Capstone Project 3 Movie Recommender Systems/4. Missing Values Imputation.srt 3.6 kB
  • 9. Hypothesis Testing/16. One Sampled ANOVA Test.srt 3.5 kB
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  • 7. Data Visualizations/23. Quiz Solution.srt 3.4 kB
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  • 5. Data Cleaning/2. Types of Missing Values.srt 3.4 kB
  • 13. Capstone Project 3 Movie Recommender Systems/7. Extracting the Movie Genres.srt 3.4 kB
  • 3. Python Functions Deep Dive/16. Quiz Solution.srt 3.4 kB
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  • 4. Python for Data Science/15.1 3. Bulit-in functions in Numpy.ipynb 3.4 kB
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  • 9. Hypothesis Testing/2. Null Hypothesis and Alternate Hypothesis.srt 3.3 kB
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  • 2. Python for Data Analysis/15.1 Implementing Stacks and Queues using deque.ipynb 3.3 kB
  • 2. Python for Data Analysis/10.1 Set Operations.ipynb 3.3 kB
  • 8. Statistics and Probability/24. Central Limit Theorem.srt 3.3 kB
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  • 14. Capstone Project 4 Global Cost of Living/14. Analysing Quality of Life.srt 3.2 kB
  • 3. Python Functions Deep Dive/9.2 Filter, Map and Zip functions.ipynb 3.2 kB
  • 5. Data Cleaning/22. Data Cleaning on Movie Dataset.srt 3.2 kB
  • 7. Data Visualizations/32. Funnel Charts.srt 3.2 kB
  • 3. Python Functions Deep Dive/17. Solving the Factorial Problem using Recursion.srt 3.2 kB
  • 13. Capstone Project 3 Movie Recommender Systems/2. Taking a Deep Dive into the Dataset.srt 3.2 kB
  • 3. Python Functions Deep Dive/18. Solving the Fibonacci Problem using Recursion.srt 3.2 kB
  • 14. Capstone Project 4 Global Cost of Living/5. Performing Feature Engineering.srt 3.2 kB
  • 8. Statistics and Probability/20. Using QQ Plots to check Normal Distribution.srt 3.2 kB
  • 9. Hypothesis Testing/8. Two Sampled T Test.srt 3.2 kB
  • 12. Capstone Project 2 Startups Case Study and Analysis/1. Understanding the Problem Statement.srt 3.1 kB
  • 15. Capstone Project 5 Customer Segmentation Engine/1. Understanding the Problem Statement.srt 3.1 kB
  • 13. Capstone Project 3 Movie Recommender Systems/6. Manipulating the Duration and Language Column.srt 3.1 kB
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  • 3. Python Functions Deep Dive/13.1 Introduction to Aggregate functions.ipynb 3.0 kB
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  • 6. Query Analysis/8. Performing Cross Tabulation.srt 3.0 kB
  • 10. Data Exploration/2. Course curriculum walkthrough.srt 3.0 kB
  • 13. Capstone Project 3 Movie Recommender Systems/12. Association between IMDB Rating and Duration.srt 3.0 kB
  • 6. Query Analysis/10. Interactive Grouping Operations.srt 3.0 kB
  • 3. Python Functions Deep Dive/5. Python Modules.srt 3.0 kB
  • 9. Hypothesis Testing/1. What is Hypothesis Testing.srt 3.0 kB
  • 5. Data Cleaning/5. Imputing missing values with MeanMedianMode.srt 3.0 kB
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  • 7. Data Visualizations/12. Subplots.srt 2.9 kB
  • 1. Python Fundamentals/20. Break and Continue.srt 2.9 kB
  • 5. Data Cleaning/11. Using Winsorization to deal with outliers.srt 2.9 kB
  • 4. Python for Data Science/10.1 4. Sets for Regular Expressions.ipynb 2.9 kB
  • 1. Python Fundamentals/10. Identity and Membership Operators.srt 2.9 kB
  • 13. Capstone Project 3 Movie Recommender Systems/10. Loss and Profit Analysis on English and Foreign Movies.srt 2.9 kB
  • 3. Python Functions Deep Dive/8. Lambda Functions.srt 2.9 kB
  • 1. Python Fundamentals/13.1 String Formatting.ipynb 2.9 kB
  • 3. Python Functions Deep Dive/4. Keyword Arguments.srt 2.9 kB
  • 7. Data Visualizations/18. Animation with Bubbleplot.srt 2.9 kB
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  • 3. Python Functions Deep Dive/2.2 Default parameters in functions.ipynb 2.8 kB
  • 12. Capstone Project 2 Startups Case Study and Analysis/5. Querying the data using Visualizations Part - 2.srt 2.8 kB
  • 6. Query Analysis/15. Advanced Filtering Operations.srt 2.8 kB
  • 3. Python Functions Deep Dive/24.1 4. Polymorphism.ipynb 2.8 kB
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  • 4. Python for Data Science/15. Built-in Functions in Numpy.srt 2.8 kB
  • 4. Python for Data Science/9. Special Characters for Regular Expressions.srt 2.8 kB
  • 3. Python Functions Deep Dive/4.1 Keyword Arguments.ipynb 2.8 kB
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  • 3. Python Functions Deep Dive/14.1 Introduction to Analytical functions.ipynb 2.7 kB
  • 10. Data Exploration/7. Summarizing data.srt 2.7 kB
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  • 2. Python for Data Analysis/15. Implementing Stacks andd Queues using Deque.srt 2.7 kB
  • 1. Python Fundamentals/19.1 for and while loop.ipynb 2.7 kB
  • 3. Python Functions Deep Dive/24. Polymorhism.srt 2.7 kB
  • 7. Data Visualizations/11. Polar Charts.srt 2.7 kB
  • 2. Python for Data Analysis/6.1 Introduction to Dictionaries.ipynb 2.7 kB
  • 7. Data Visualizations/25. Interactive Univariate Analysis.srt 2.7 kB
  • 7. Data Visualizations/36. Network Charts.srt 2.7 kB
  • 2. Python for Data Analysis/1.1 Difference between Lists and Tuples.ipynb 2.7 kB
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  • 3. Python Functions Deep Dive/13. Introduction to Aggregate Functions.srt 2.6 kB
  • 13. Capstone Project 3 Movie Recommender Systems/14. Top Movies based on Gross, and IMDB.srt 2.6 kB
  • 6. Query Analysis/2. Using Groupby for Grouping Operations.srt 2.6 kB
  • 7. Data Visualizations/30. Sunburst Charts.srt 2.6 kB
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  • 9. Hypothesis Testing/20. Goodness of Fit Test.srt 2.6 kB
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  • 7. Data Visualizations/33. Gantt Charts.srt 2.5 kB
  • 4. Python for Data Science/9.1 3. Special Characters for Regular Expressions.ipynb 2.5 kB
  • 9. Hypothesis Testing/21. Test of Independence.srt 2.5 kB
  • 14. Capstone Project 4 Global Cost of Living/9. Comparing different Lifestyle Factors.srt 2.5 kB
  • 1. Python Fundamentals/2. Installing Python and Jupyter Notebook.srt 2.5 kB
  • 4. Python for Data Science/4.1 4. The timedelta class.ipynb 2.5 kB
  • 8. Statistics and Probability/17. Continuous vs Discrete Distributions.srt 2.5 kB
  • 7. Data Visualizations/7. Charts with Colorscale.srt 2.5 kB
  • 4. Python for Data Science/19. Plotting Data in Pandas.srt 2.4 kB
  • 8. Statistics and Probability/19. Concept of Skewness.srt 2.4 kB
  • 2. Python for Data Analysis/3. Operations on Tuples.srt 2.3 kB
  • 14. Capstone Project 4 Global Cost of Living/2. Understanding the Dataset.srt 2.3 kB
  • 2. Python for Data Analysis/13. Introduction to Stacks and Queues.srt 2.3 kB
  • 4. Python for Data Science/22. Lambda, Map, and Apply Functions.srt 2.3 kB
  • 8. Statistics and Probability/14. Measures of Dependence.srt 2.3 kB
  • 3. Python Functions Deep Dive/3. Positional Arguments.srt 2.3 kB
  • 7. Data Visualizations/27. Interactive Multivariate Analysis.srt 2.2 kB
  • 3. Python Functions Deep Dive/23.1 3. Encapsulation.ipynb 2.2 kB
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  • 6. Query Analysis/13. When to perform Filtering Operations.srt 2.1 kB
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  • 4. Python for Data Science/3.1 3. The datetime class.ipynb 2.1 kB
  • 6. Query Analysis/4. Using Color scales for better visualization.srt 2.1 kB
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  • 4. Python for Data Science/8.1 2. Built-in functions for Regular Expressions.ipynb 2.1 kB
  • 10. Data Exploration/11. Best Practices for Data Exploration.srt 2.1 kB
  • 1. Python Fundamentals/3.1 Declaring Variables.ipynb 2.1 kB
  • 13. Capstone Project 3 Movie Recommender Systems/8. Top 10 Most Popular Movies on Social Media.srt 2.0 kB
  • 7. Data Visualizations/21. Animation with Choropleth Maps.srt 2.0 kB
  • 3. Python Functions Deep Dive/10.2 List, Set and Dictionary Comprehensions.ipynb 2.0 kB
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  • 7. Data Visualizations/13. 3D Charts.srt 2.0 kB
  • 2. Python for Data Analysis/3.1 Operations on tuples.ipynb 2.0 kB
  • 7. Data Visualizations/14. Waffle Charts.srt 2.0 kB
  • 8. Statistics and Probability/1. Why you should learn Statistics and Probability.srt 2.0 kB
  • 4. Python for Data Science/1. Introduction to datetime.srt 1.9 kB
  • 6. Query Analysis/3. Groupby with Idxmax and Idxmin functions.srt 1.9 kB
  • 9. Hypothesis Testing/3. Types of Error.srt 1.9 kB
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  • 11. Capstone Project 1 Players Performance Analysis/7. Major Learnings from the project.srt 1.9 kB
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  • 1. Python Fundamentals/6. Quiz on Variables and Data Types.html 144 Bytes
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  • 10. Data Exploration/5. Quiz on Introduction to EDA.html 144 Bytes
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  • 9. Hypothesis Testing/5. Quiz on Hypothesis Testing.html 144 Bytes
  • 1. Python Fundamentals/[Tutorialsplanet.NET].url 128 Bytes
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  • [Tutorialsplanet.NET].url 128 Bytes

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