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Udemy - Python for Data Science - The Complete Data Science Bootcamp

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Title: Udemy - Python for Data Science - TheGroup: NOGRPSource: Udemy
Info Hash
2ECB44B7ACBB3FBD03C31867FF8CB5C514AB5611
Source
Unverified
Total Size
3.04 GB
Total Files
46
Seeders
5
Leechers
2
Health
1.67
Score
12
Type
Bookware

File List

FileSize
Get Bonus Downloads Here.url180 B
~Get Your Files Here !/1 - Introduction to Data Science and Python/1. What is Data Science.mp431.19 MB
~Get Your Files Here !/1 - Introduction to Data Science and Python/2. Why Python for Data Science.mp437.94 MB
~Get Your Files Here !/1 - Introduction to Data Science and Python/3. Introduction to Jupyter Notebooks.mp411.9 MB
~Get Your Files Here !/1 - Introduction to Data Science and Python/4. First Python Script “Hello Data ”.mp458.1 MB
~Get Your Files Here !/2 - Python Fundamentals for Data Science/5. Variables Data Types and Operators.mp464.43 MB
~Get Your Files Here !/2 - Python Fundamentals for Data Science/6. Control Flow Conditionals and Loops.mp474.23 MB
~Get Your Files Here !/2 - Python Fundamentals for Data Science/7. Functions and Scope.mp462.71 MB
~Get Your Files Here !/2 - Python Fundamentals for Data Science/8. Working with Modules and Packages.mp481.07 MB
~Get Your Files Here !/2 - Python Fundamentals for Data Science/9. Error Handling and Assertions.mp4108.69 MB
~Get Your Files Here !/3 - Working with Data Using Pandas/10. Introduction to Pandas Series and DataFrames.mp481.27 MB
~Get Your Files Here !/3 - Working with Data Using Pandas/11. Reading & Writing Data (CSV Excel JSON).mp479.7 MB
~Get Your Files Here !/3 - Working with Data Using Pandas/12. Data Cleaning & Preprocessing.mp4116.96 MB
~Get Your Files Here !/3 - Working with Data Using Pandas/13. Handling Missing Values & Duplicates.mp4110.71 MB
~Get Your Files Here !/3 - Working with Data Using Pandas/14. Data Transformation & Feature Engineering.mp4109.24 MB
~Get Your Files Here !/3 - Working with Data Using Pandas/15. Grouping Sorting and Aggregating Data.mp480.29 MB
~Get Your Files Here !/4 - Numerical Computing with NumPy/16. Arrays vs Lists.mp464.65 MB
~Get Your Files Here !/4 - Numerical Computing with NumPy/17. Creating Indexing and Slicing Arrays.mp450.32 MB
~Get Your Files Here !/4 - Numerical Computing with NumPy/18. Mathematical Operations with NumPy.mp486.87 MB
~Get Your Files Here !/4 - Numerical Computing with NumPy/19. Broadcasting and Vectorization.mp449.55 MB
~Get Your Files Here !/4 - Numerical Computing with NumPy/20. Useful NumPy Functions for Data Science.mp496.51 MB
~Get Your Files Here !/5 - Data Visualization/21. Introduction to Data Visualization.mp459.83 MB
~Get Your Files Here !/5 - Data Visualization/22. Plotting with Matplotlib.mp4102.06 MB
~Get Your Files Here !/5 - Data Visualization/23. Customizing Charts (Colors Labels Legends).mp487.79 MB
~Get Your Files Here !/5 - Data Visualization/24. Advanced Charts Heatmaps Pairplots and Violin Plots.mp491.42 MB
~Get Your Files Here !/5 - Data Visualization/25. Interactive Visualizations (optional Plotly Altair).mp457.75 MB
~Get Your Files Here !/6 - Exploratory Data Analysis (EDA)/26. What is EDA.mp453.05 MB
~Get Your Files Here !/6 - Exploratory Data Analysis (EDA)/27. Identifying Patterns Outliers & Trends.mp453.8 MB
~Get Your Files Here !/6 - Exploratory Data Analysis (EDA)/28. Descriptive Statistics.mp472.12 MB
~Get Your Files Here !/6 - Exploratory Data Analysis (EDA)/29. Correlation Analysis.mp447.14 MB
~Get Your Files Here !/6 - Exploratory Data Analysis (EDA)/30. Using Pandas Profiling & Sweetviz (Optional).mp463.91 MB
~Get Your Files Here !/7 - Introduction to Statistics for Data Science/31. Mean Median Mode Variance Standard Deviation.mp455.32 MB
~Get Your Files Here !/7 - Introduction to Statistics for Data Science/32. Probability Concepts.mp443.95 MB
~Get Your Files Here !/7 - Introduction to Statistics for Data Science/33. Hypothesis Testing.mp441.44 MB
~Get Your Files Here !/7 - Introduction to Statistics for Data Science/34. Confidence Intervals.mp448.5 MB
~Get Your Files Here !/7 - Introduction to Statistics for Data Science/35. Linear Regression Intuition.mp490.39 MB
~Get Your Files Here !/8 - Machine Learning with Scikit Learn/36. What is Machine Learning.mp438.71 MB
~Get Your Files Here !/8 - Machine Learning with Scikit Learn/37. Supervised vs Unsupervised Learning.mp472.92 MB
~Get Your Files Here !/8 - Machine Learning with Scikit Learn/38. ML Workflow (Prepare Train Evaluate Tune).mp477.16 MB
~Get Your Files Here !/8 - Machine Learning with Scikit Learn/39. Regression Algorithms Linear Ridge Lasso.mp4108.85 MB
~Get Your Files Here !/8 - Machine Learning with Scikit Learn/40. Classification Algorithms Logistic Regression KNN Decision Trees.mp4105.59 MB
~Get Your Files Here !/8 - Machine Learning with Scikit Learn/41. Clustering K Means.mp440.16 MB
~Get Your Files Here !/9 - Advanced Topics (Optional Bonus)/42. Introduction to Time Series Analysis.mp485.62 MB
~Get Your Files Here !/9 - Advanced Topics (Optional Bonus)/43. Intro to Deep Learning with TensorFlow Keras.mp473.18 MB
~Get Your Files Here !/9 - Advanced Topics (Optional Bonus)/44. Working with Big Data (Intro to PySpark).mp483.28 MB
~Get Your Files Here !/Bonus Resources.txt70 B

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