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

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

Torrent Contents Size: 3 GB

Udemy - Python for Data Science - The Complete Data Science Bootcamp
Bonus Resources.txt
TXT
102.4 B
Get Bonus Downloads Here.url
URL
204.8 B
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1 - Introduction to Data Science and Python
1. What is Data Science.mp4
MP4
31.2 MB
2 - Python Fundamentals for Data Science
3 - Working with Data Using Pandas
10. Introduction to Pandas Series and DataFrames.mp4
MP4
81.3 MB
11. Reading & Writing Data (CSV Excel JSON).mp4
MP4
79.7 MB
12. Data Cleaning & Preprocessing.mp4
MP4
117 MB
13. Handling Missing Values & Duplicates.mp4
MP4
110.7 MB
14. Data Transformation & Feature Engineering.mp4
MP4
109.2 MB
15. Grouping Sorting and Aggregating Data.mp4
MP4
80.3 MB
4 - Numerical Computing with NumPy
16. Arrays vs Lists.mp4
MP4
64.6 MB
17. Creating Indexing and Slicing Arrays.mp4
MP4
50.3 MB
18. Mathematical Operations with NumPy.mp4
MP4
86.9 MB
19. Broadcasting and Vectorization.mp4
MP4
49.5 MB
20. Useful NumPy Functions for Data Science.mp4
MP4
96.5 MB
5 - Data Visualization
21. Introduction to Data Visualization.mp4
MP4
59.8 MB
22. Plotting with Matplotlib.mp4
MP4
102.1 MB
23. Customizing Charts (Colors Labels Legends).mp4
MP4
87.8 MB
24. Advanced Charts Heatmaps Pairplots and Violin Plots.mp4
MP4
91.4 MB
25. Interactive Visualizations (optional Plotly Altair).mp4
MP4
57.7 MB
6 - Exploratory Data Analysis (EDA)
26. What is EDA.mp4
MP4
53 MB
27. Identifying Patterns Outliers & Trends.mp4
MP4
53.8 MB
28. Descriptive Statistics.mp4
MP4
72.1 MB
29. Correlation Analysis.mp4
MP4
47.1 MB
30. Using Pandas Profiling & Sweetviz (Optional).mp4
MP4
63.9 MB
7 - Introduction to Statistics for Data Science
31. Mean Median Mode Variance Standard Deviation.mp4
MP4
55.3 MB
32. Probability Concepts.mp4
MP4
43.9 MB
33. Hypothesis Testing.mp4
MP4
41.4 MB
34. Confidence Intervals.mp4
MP4
48.5 MB
35. Linear Regression Intuition.mp4
MP4
90.4 MB
8 - Machine Learning with Scikit Learn
36. What is Machine Learning.mp4
MP4
38.7 MB
37. Supervised vs Unsupervised Learning.mp4
MP4
72.9 MB
38. ML Workflow (Prepare Train Evaluate Tune).mp4
MP4
77.2 MB
39. Regression Algorithms Linear Ridge Lasso.mp4
MP4
108.8 MB
40. Classification Algorithms Logistic Regression KNN Decision Trees.mp4
MP4
105.6 MB
41. Clustering K Means.mp4
MP4
40.2 MB
9 - Advanced Topics (Optional Bonus)
42. Introduction to Time Series Analysis.mp4
MP4
85.6 MB
43. Intro to Deep Learning with TensorFlow Keras.mp4
MP4
73.2 MB
44. Working with Big Data (Intro to PySpark).mp4
MP4
83.3 MB
5. Variables Data Types and Operators.mp4
MP4
64.4 MB
6. Control Flow Conditionals and Loops.mp4
MP4
74.2 MB
7. Functions and Scope.mp4
MP4
62.7 MB
8. Working with Modules and Packages.mp4
MP4
81.1 MB
9. Error Handling and Assertions.mp4
MP4
108.7 MB
2. Why Python for Data Science.mp4
MP4
37.9 MB
3. Introduction to Jupyter Notebooks.mp4
MP4
11.9 MB
4. First Python Script “Hello Data ”.mp4
MP4
58.1 MB

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