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

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Tutorialsplanet NET Udemy - Data Science Bootcamp with 5 Data Science Projects

文件列表
  1. 1. Python Fundamentals/1. Why should you learn Python.mp465.7MB
  2. 1. Python Fundamentals/10. Identity and Membership Operators.mp439.19MB
  3. 1. Python Fundamentals/12. Quiz Solution.mp434.21MB
  4. 1. Python Fundamentals/13. String Formatting.mp451.35MB
  5. 1. Python Fundamentals/14. String Methods.mp443.31MB
  6. 1. Python Fundamentals/15. User Input.mp440.96MB
  7. 1. Python Fundamentals/17. Quiz Solution.mp453.1MB
  8. 1. Python Fundamentals/18. If, elif, and else.mp465.92MB
  9. 1. Python Fundamentals/19. For and While.mp453.02MB
  10. 1. Python Fundamentals/2. Installing Python and Jupyter Notebook.mp433.58MB
  11. 1. Python Fundamentals/20. Break and Continue.mp440.79MB
  12. 1. Python Fundamentals/22. Quiz Solution.mp449.01MB
  13. 1. Python Fundamentals/3. Naming Convention for variables.mp4102.16MB
  14. 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4119.97MB
  15. 1. Python Fundamentals/5. Scope of Variables.mp477.13MB
  16. 1. Python Fundamentals/7. Quiz Solution.mp446.57MB
  17. 1. Python Fundamentals/8. Arithmetic and Assignment Operators.mp478.02MB
  18. 1. Python Fundamentals/9. Comparison, Logical, and Bitwise Operators.mp462.4MB
  19. 10. Data Exploration/1. Why EDA and how it is useful.mp442.24MB
  20. 10. Data Exploration/10. Using Color Gradients for better analysis.mp443.84MB
  21. 10. Data Exploration/11. Best Practices for Data Exploration.mp440.03MB
  22. 10. Data Exploration/13. Quiz Solution.mp455.92MB
  23. 10. Data Exploration/2. Course curriculum walkthrough.mp454.71MB
  24. 10. Data Exploration/3. Data Profiling.mp468.39MB
  25. 10. Data Exploration/4. Analyzing Target Data.mp451.17MB
  26. 10. Data Exploration/6. Quiz Solution.mp448.06MB
  27. 10. Data Exploration/7. Summarizing data.mp438.13MB
  28. 10. Data Exploration/8. Exploring the Dabl Library.mp4101.84MB
  29. 10. Data Exploration/9. Exploring the Sweetviz Library.mp481.57MB
  30. 11. Capstone Project 1 Players Performance Analysis/1. Understanding the problem statement.mp453.01MB
  31. 11. Capstone Project 1 Players Performance Analysis/2. Setting up the Environment.mp434.19MB
  32. 11. Capstone Project 1 Players Performance Analysis/3. Data Cleaning.mp474.32MB
  33. 11. Capstone Project 1 Players Performance Analysis/4. Feature Engineering.mp447.51MB
  34. 11. Capstone Project 1 Players Performance Analysis/5. Data Visualization.mp477.85MB
  35. 11. Capstone Project 1 Players Performance Analysis/6. Query Analysis.mp451.87MB
  36. 11. Capstone Project 1 Players Performance Analysis/7. Major Learnings from the project.mp438.89MB
  37. 12. Capstone Project 2 Startups Case Study and Analysis/1. Understanding the Problem Statement.mp450.3MB
  38. 12. Capstone Project 2 Startups Case Study and Analysis/2. Setting up the Environment.mp421.29MB
  39. 12. Capstone Project 2 Startups Case Study and Analysis/3. Data Cleaning.mp452.88MB
  40. 12. Capstone Project 2 Startups Case Study and Analysis/4. Querying the data using Visualizations Part - 1.mp453.02MB
  41. 12. Capstone Project 2 Startups Case Study and Analysis/5. Querying the data using Visualizations Part - 2.mp432.46MB
  42. 12. Capstone Project 2 Startups Case Study and Analysis/6. Major learning from the Project.mp430.87MB
  43. 13. Capstone Project 3 Movie Recommender Systems/1. Setting up the Environment.mp445.56MB
  44. 13. Capstone Project 3 Movie Recommender Systems/10. Loss and Profit Analysis on English and Foreign Movies.mp442.23MB
  45. 13. Capstone Project 3 Movie Recommender Systems/11. Gross Comparison of Long and Short Movies.mp446.2MB
  46. 13. Capstone Project 3 Movie Recommender Systems/12. Association between IMDB Rating and Duration.mp447.28MB
  47. 13. Capstone Project 3 Movie Recommender Systems/13. Comparing Critically acclaimed Actors.mp460.65MB
  48. 13. Capstone Project 3 Movie Recommender Systems/14. Top Movies based on Gross, and IMDB.mp433.45MB
  49. 13. Capstone Project 3 Movie Recommender Systems/15. Recommending Movies based on Languages and Actors.mp446.78MB
  50. 13. Capstone Project 3 Movie Recommender Systems/16. Recommending Similar Genres and Movies.mp468.33MB
  51. 13. Capstone Project 3 Movie Recommender Systems/17. Key Takeaways from this Project.mp433.43MB
  52. 13. Capstone Project 3 Movie Recommender Systems/2. Taking a Deep Dive into the Dataset.mp448.4MB
  53. 13. Capstone Project 3 Movie Recommender Systems/3. Understanding the Problem Statement.mp430.63MB
  54. 13. Capstone Project 3 Movie Recommender Systems/4. Missing Values Imputation.mp451.85MB
  55. 13. Capstone Project 3 Movie Recommender Systems/5. Top 10 Profitable Movies.mp450.11MB
  56. 13. Capstone Project 3 Movie Recommender Systems/6. Manipulating the Duration and Language Column.mp451.34MB
  57. 13. Capstone Project 3 Movie Recommender Systems/7. Extracting the Movie Genres.mp449.79MB
  58. 13. Capstone Project 3 Movie Recommender Systems/8. Top 10 Most Popular Movies on Social Media.mp432.66MB
  59. 13. Capstone Project 3 Movie Recommender Systems/9. Analysing Which Genre is Most Bankable.mp438.36MB
  60. 14. Capstone Project 4 Global Cost of Living/1. Setting up Environment.mp447.99MB
  61. 14. Capstone Project 4 Global Cost of Living/10. Comparing Some of the Most Popular Countries.mp445.34MB
  62. 14. Capstone Project 4 Global Cost of Living/11. Comparing Lifestyle in Indian Cities.mp445.62MB
  63. 14. Capstone Project 4 Global Cost of Living/12. Ranking Places based on their cost of living.mp448.05MB
  64. 14. Capstone Project 4 Global Cost of Living/13. Analysing Cost of Essential Items.mp451.58MB
  65. 14. Capstone Project 4 Global Cost of Living/14. Analysing Quality of Life.mp446.7MB
  66. 14. Capstone Project 4 Global Cost of Living/15. Suggesting Better places to live.mp439.35MB
  67. 14. Capstone Project 4 Global Cost of Living/2. Understanding the Dataset.mp436.63MB
  68. 14. Capstone Project 4 Global Cost of Living/3. Understanding the Problem Statement.mp436.01MB
  69. 14. Capstone Project 4 Global Cost of Living/4. Extracting Latitude and Longitude from the L.mp482.88MB
  70. 14. Capstone Project 4 Global Cost of Living/5. Performing Feature Engineering.mp447.12MB
  71. 14. Capstone Project 4 Global Cost of Living/6. Comparing Lifestyle in different Countries.mp445.39MB
  72. 14. Capstone Project 4 Global Cost of Living/7. Top N and Bottom N Analysis.mp456.02MB
  73. 14. Capstone Project 4 Global Cost of Living/8. Performing Geo spatial Analysis.mp436.54MB
  74. 14. Capstone Project 4 Global Cost of Living/9. Comparing different Lifestyle Factors.mp438.32MB
  75. 15. Capstone Project 5 Customer Segmentation Engine/1. Understanding the Problem Statement.mp453.55MB
  76. 15. Capstone Project 5 Customer Segmentation Engine/2. Setting up the Environment.mp428.81MB
  77. 15. Capstone Project 5 Customer Segmentation Engine/3. Data Analysis and Visualization.mp477.71MB
  78. 15. Capstone Project 5 Customer Segmentation Engine/4. KMeans Clustering Analysis.mp461.79MB
  79. 15. Capstone Project 5 Customer Segmentation Engine/5. Major Learnings from the projects.mp436.71MB
  80. 2. Python for Data Analysis/1. Differences between Lists and Tuples.mp448.69MB
  81. 2. Python for Data Analysis/10. Set Operations.mp458.6MB
  82. 2. Python for Data Analysis/12. Quiz Solution.mp438.29MB
  83. 2. Python for Data Analysis/13. Introduction to Stacks and Queues.mp448.73MB
  84. 2. Python for Data Analysis/14. Implementing Stacks and Queues using Lists.mp436.49MB
  85. 2. Python for Data Analysis/15. Implementing Stacks andd Queues using Deque.mp441.57MB
  86. 2. Python for Data Analysis/17. Quiz Solution.mp439.5MB
  87. 2. Python for Data Analysis/18. Time Complexity.mp4120.23MB
  88. 2. Python for Data Analysis/19. Linear Search.mp495.41MB
  89. 2. Python for Data Analysis/2. Operations on Lists.mp444.4MB
  90. 2. Python for Data Analysis/20. Binary Search.mp4109.49MB
  91. 2. Python for Data Analysis/21. Bubble Sort.mp475.55MB
  92. 2. Python for Data Analysis/22. Insertion and Selection Sort.mp4120.08MB
  93. 2. Python for Data Analysis/23. Merge Sort.mp4115.4MB
  94. 2. Python for Data Analysis/25. Quiz Solution.mp473.19MB
  95. 2. Python for Data Analysis/3. Operations on Tuples.mp427.49MB
  96. 2. Python for Data Analysis/5. Quiz Solution.mp437.04MB
  97. 2. Python for Data Analysis/6. Introduction to Dictionaries.mp466.81MB
  98. 2. Python for Data Analysis/7. Operations on Dictionaries.mp437.54MB
  99. 2. Python for Data Analysis/8. Nested Dictionaries.mp460.46MB
  100. 2. Python for Data Analysis/9. Introduction to Sets.mp475.44MB
  101. 3. Python Functions Deep Dive/1. Introduction to Functions.mp440.26MB
  102. 3. Python Functions Deep Dive/10. List, set, and Dictionary Comprehensions.mp454.62MB
  103. 3. Python Functions Deep Dive/12. Quiz Solution.mp440.28MB
  104. 3. Python Functions Deep Dive/13. Introduction to Aggregate Functions.mp430.63MB
  105. 3. Python Functions Deep Dive/14. Introduction to Analytical Functions.mp434.72MB
  106. 3. Python Functions Deep Dive/16. Quiz Solution.mp438.26MB
  107. 3. Python Functions Deep Dive/17. Solving the Factorial Problem using Recursion.mp455.41MB
  108. 3. Python Functions Deep Dive/18. Solving the Fibonacci Problem using Recursion.mp462.73MB
  109. 3. Python Functions Deep Dive/2. Default Parameters in Functions.mp453.99MB
  110. 3. Python Functions Deep Dive/20. Quiz Solution.mp438.04MB
  111. 3. Python Functions Deep Dive/21. Introduction to Classes and Objects.mp439.59MB
  112. 3. Python Functions Deep Dive/22. Inheritance.mp432.49MB
  113. 3. Python Functions Deep Dive/23. Encapsulation.mp462.13MB
  114. 3. Python Functions Deep Dive/24. Polymorhism.mp446.26MB
  115. 3. Python Functions Deep Dive/26. Quiz Solution.mp440.46MB
  116. 3. Python Functions Deep Dive/3. Positional Arguments.mp432.12MB
  117. 3. Python Functions Deep Dive/4. Keyword Arguments.mp436.35MB
  118. 3. Python Functions Deep Dive/5. Python Modules.mp442.66MB
  119. 3. Python Functions Deep Dive/7. Quiz Solution.mp447.7MB
  120. 3. Python Functions Deep Dive/8. Lambda Functions.mp453.13MB
  121. 3. Python Functions Deep Dive/9. Filter, Map, and Zip Functions.mp479.87MB
  122. 4. Python for Data Science/1. Introduction to datetime.mp437.5MB
  123. 4. Python for Data Science/10. Sets for Regular Expressions.mp456.06MB
  124. 4. Python for Data Science/12. Quiz Solution.mp432.87MB
  125. 4. Python for Data Science/13. Array Creation using Numpy.mp450.95MB
  126. 4. Python for Data Science/14. Mathematical Operations using Numpy.mp436.35MB
  127. 4. Python for Data Science/15. Built-in Functions in Numpy.mp440.03MB
  128. 4. Python for Data Science/17. Quiz Solution.mp457.64MB
  129. 4. Python for Data Science/18. Reading Datasets using Pandas.mp465.7MB
  130. 4. Python for Data Science/19. Plotting Data in Pandas.mp435.74MB
  131. 4. Python for Data Science/2. The date and time class.mp433.57MB
  132. 4. Python for Data Science/20. Indexing, Selecting, and Filtering Data using Pandas.mp468.96MB
  133. 4. Python for Data Science/21. Merging and Concatenating DataFrames.mp476.71MB
  134. 4. Python for Data Science/22. Lambda, Map, and Apply Functions.mp437.19MB
  135. 4. Python for Data Science/24. Quiz Solution.mp454.71MB
  136. 4. Python for Data Science/3. The datetime class.mp422.53MB
  137. 4. Python for Data Science/4. The timedelta class.mp419.36MB
  138. 4. Python for Data Science/6. Quiz Solution.mp444.08MB
  139. 4. Python for Data Science/7. Meta Characters for Regular Expressions.mp474.08MB
  140. 4. Python for Data Science/8. Built-in Functions for Regular Expressions.mp437.61MB
  141. 4. Python for Data Science/9. Special Characters for Regular Expressions.mp440.9MB
  142. 5. Data Cleaning/1. Causes and Impact of Missing Values.mp464.41MB
  143. 5. Data Cleaning/10. Finding out outliers from the data.mp463.2MB
  144. 5. Data Cleaning/11. Using Winsorization to deal with outliers.mp450.49MB
  145. 5. Data Cleaning/12. Deleting and Capping the outliers.mp460.83MB
  146. 5. Data Cleaning/13. Dealing with outliers in a real-world scenario.mp450.81MB
  147. 5. Data Cleaning/15. Quiz Solution.mp456.11MB
  148. 5. Data Cleaning/16. Introduction to reindex, set_index, reset_index, and sort_index Functions.mp444.69MB
  149. 5. Data Cleaning/17. Introduction to Replace and Drop level Function.mp432.96MB
  150. 5. Data Cleaning/18. Introduction to Split and Strip Function.mp437.86MB
  151. 5. Data Cleaning/19. Introduction to Stack, and Unstack Functions.mp425.35MB
  152. 5. Data Cleaning/2. Types of Missing Values.mp461.68MB
  153. 5. Data Cleaning/20. Introduction to Melt, Explode, and Squeeze Functions.mp441.38MB
  154. 5. Data Cleaning/21. Data Cleaning on Big Mart Dataset.mp438.29MB
  155. 5. Data Cleaning/22. Data Cleaning on Movie Dataset.mp437.28MB
  156. 5. Data Cleaning/23. Data Cleaning on Melbourne Housing Dataset.mp442.13MB
  157. 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4106.15MB
  158. 5. Data Cleaning/3. When should we delete the missing values.mp479.62MB
  159. 5. Data Cleaning/4. Imputing missing values with the business logic.mp474MB
  160. 5. Data Cleaning/5. Imputing missing values with MeanMedianMode.mp455.93MB
  161. 5. Data Cleaning/6. Imputing missing values in a real-time scenario.mp482.57MB
  162. 5. Data Cleaning/8. Quiz Solution.mp449.17MB
  163. 5. Data Cleaning/9. How outliers can be harmful for machine learning models.mp469.04MB
  164. 6. Query Analysis/1. Aggregate functions used for Grouping.mp451.71MB
  165. 6. Query Analysis/10. Interactive Grouping Operations.mp435.71MB
  166. 6. Query Analysis/12. Quiz Solution.mp454.39MB
  167. 6. Query Analysis/13. When to perform Filtering Operations.mp438.38MB
  168. 6. Query Analysis/14. Introduction to Simple Filtering Operations.mp422.07MB
  169. 6. Query Analysis/15. Advanced Filtering Operations.mp435.71MB
  170. 6. Query Analysis/16. Filtering and Grouping Operations.mp421.74MB
  171. 6. Query Analysis/17. Interactive Filtering Operations.mp420.87MB
  172. 6. Query Analysis/19. Quiz Solution.mp445.92MB
  173. 6. Query Analysis/2. Using Groupby for Grouping Operations.mp427.18MB
  174. 6. Query Analysis/3. Groupby with Idxmax and Idxmin functions.mp425.9MB
  175. 6. Query Analysis/4. Using Color scales for better visualization.mp423.46MB
  176. 6. Query Analysis/5. Visualizing the Groupby Operations.mp428.71MB
  177. 6. Query Analysis/6. Using Pivot Tables for Grouping Operations.mp430.55MB
  178. 6. Query Analysis/7. Difference between Groupby and Pivot tables.mp424.46MB
  179. 6. Query Analysis/8. Performing Cross Tabulation.mp438.51MB
  180. 6. Query Analysis/9. Visualizing Cross tabulated Data.mp422.81MB
  181. 7. Data Visualizations/1. Univariate Analysis.mp457.08MB
  182. 7. Data Visualizations/10. Statistical Charts.mp438.31MB
  183. 7. Data Visualizations/11. Polar Charts.mp429.39MB
  184. 7. Data Visualizations/12. Subplots.mp434.77MB
  185. 7. Data Visualizations/13. 3D Charts.mp424.58MB
  186. 7. Data Visualizations/14. Waffle Charts.mp429.35MB
  187. 7. Data Visualizations/15. Maps.mp430.72MB
  188. 7. Data Visualizations/17. Quiz Solution.mp448.87MB
  189. 7. Data Visualizations/18. Animation with Bubbleplot.mp447.76MB
  190. 7. Data Visualizations/19. Animation with Facets.mp426.68MB
  191. 7. Data Visualizations/2. Bivariate Analysis.mp444.94MB
  192. 7. Data Visualizations/20. Animation with Scatter Maps.mp422.69MB
  193. 7. Data Visualizations/21. Animation with Choropleth Maps.mp430.59MB
  194. 7. Data Visualizations/23. Quiz Solution.mp434.51MB
  195. 7. Data Visualizations/24. Introduction to Ipywidgets.mp438.57MB
  196. 7. Data Visualizations/25. Interactive Univariate Analysis.mp429.88MB
  197. 7. Data Visualizations/26. Interactive Bivariate Analysis.mp433.85MB
  198. 7. Data Visualizations/27. Interactive Multivariate Analysis.mp429.16MB
  199. 7. Data Visualizations/29. Quiz Solution.mp453.79MB
  200. 7. Data Visualizations/3. Multivariate Analysis.mp470.9MB
  201. 7. Data Visualizations/30. Sunburst Charts.mp433.1MB
  202. 7. Data Visualizations/31. Parallel Co-ordinate Charts.mp422.96MB
  203. 7. Data Visualizations/32. Funnel Charts.mp439.13MB
  204. 7. Data Visualizations/33. Gantt Charts.mp425.09MB
  205. 7. Data Visualizations/34. Ternary Charts.mp420.32MB
  206. 7. Data Visualizations/35. Tree Maps.mp421.44MB
  207. 7. Data Visualizations/36. Network Charts.mp439.79MB
  208. 7. Data Visualizations/38. Quiz Solution.mp438.48MB
  209. 7. Data Visualizations/5. Quiz Solution.mp447.11MB
  210. 7. Data Visualizations/6. Scatter Plots.mp445.14MB
  211. 7. Data Visualizations/7. Charts with Colorscale.mp431.78MB
  212. 7. Data Visualizations/8. Bar, Line, and Area Charts.mp448.51MB
  213. 7. Data Visualizations/9. Facet Grids.mp437.91MB
  214. 8. Statistics and Probability/1. Why you should learn Statistics and Probability.mp435.09MB
  215. 8. Statistics and Probability/10. Quiz Solution.mp485.98MB
  216. 8. Statistics and Probability/11. Types of Data.mp471.32MB
  217. 8. Statistics and Probability/12. Measures of Central Tendency.mp467.8MB
  218. 8. Statistics and Probability/13. Measures of Spread.mp478.94MB
  219. 8. Statistics and Probability/14. Measures of Dependence.mp441.41MB
  220. 8. Statistics and Probability/16. Quiz Solution.mp464.32MB
  221. 8. Statistics and Probability/17. Continuous vs Discrete Distributions.mp436.29MB
  222. 8. Statistics and Probability/18. Introduction to Normal Distribution.mp455.02MB
  223. 8. Statistics and Probability/19. Concept of Skewness.mp441.04MB
  224. 8. Statistics and Probability/2. Walking through the course Content.mp429.41MB
  225. 8. Statistics and Probability/20. Using QQ Plots to check Normal Distribution.mp447.59MB
  226. 8. Statistics and Probability/22. Quiz Solution.mp459.54MB
  227. 8. Statistics and Probability/23. Sample Mean and Population Mean.mp486.1MB
  228. 8. Statistics and Probability/24. Central Limit Theorem.mp457.02MB
  229. 8. Statistics and Probability/25. Bias and Variance.mp466.16MB
  230. 8. Statistics and Probability/26. Maximum Likelihood Estimation.mp472.56MB
  231. 8. Statistics and Probability/27. Confidence Intervals.mp4121.19MB
  232. 8. Statistics and Probability/29. Quiz Solution.mp471.01MB
  233. 8. Statistics and Probability/3. Applications of Probability in Real Life.mp461.75MB
  234. 8. Statistics and Probability/4. Basic Probability.mp474.4MB
  235. 8. Statistics and Probability/5. Conditional Probability.mp480.38MB
  236. 8. Statistics and Probability/6. Set Theory.mp475.69MB
  237. 8. Statistics and Probability/7. Bayes' Theorem.mp458.74MB
  238. 8. Statistics and Probability/8. Permutations and Combinations.mp496.96MB
  239. 9. Hypothesis Testing/1. What is Hypothesis Testing.mp452.37MB
  240. 9. Hypothesis Testing/11. Quiz Solution.mp444.43MB
  241. 9. Hypothesis Testing/12. One Sampled Z Test.mp467.83MB
  242. 9. Hypothesis Testing/13. Two Sampled Z Test.mp448.29MB
  243. 9. Hypothesis Testing/15. Quiz Solution.mp442.06MB
  244. 9. Hypothesis Testing/16. One Sampled ANOVA Test.mp448.9MB
  245. 9. Hypothesis Testing/17. Two Sampled ANOVA Test.mp438.83MB
  246. 9. Hypothesis Testing/19. Quiz Solution.mp439.42MB
  247. 9. Hypothesis Testing/2. Null Hypothesis and Alternate Hypothesis.mp455.28MB
  248. 9. Hypothesis Testing/20. Goodness of Fit Test.mp436.85MB
  249. 9. Hypothesis Testing/21. Test of Independence.mp431.83MB
  250. 9. Hypothesis Testing/23. Quiz Solution.mp438.8MB
  251. 9. Hypothesis Testing/3. Types of Error.mp433.87MB
  252. 9. Hypothesis Testing/4. P-Value and Level of Significance.mp475.74MB
  253. 9. Hypothesis Testing/6. Quiz Solution.mp452.72MB
  254. 9. Hypothesis Testing/7. One Sampled T Test.mp469.47MB
  255. 9. Hypothesis Testing/8. Two Sampled T Test.mp440.22MB
  256. 9. Hypothesis Testing/9. Paired Sampled T Test.mp443.98MB
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