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| 01 - Python for Data Science Complete Video Course Video Training - Introduction.mp4 |
76.64Мб |
| 02 - Learning objectives.mp4 |
11.21Мб |
| 03 - 1.1 History of Python in data science.mp4 |
78.08Мб |
| 04 - 1.2 Overview of Python data science libraries.mp4 |
44.37Мб |
| 05 - 1.3 Future trends of Python in AI, ML, and data science.mp4 |
77.54Мб |
| 06 - Learning objectives.mp4 |
25.00Мб |
| 07 - 2.1 Create your first Colab document.mp4 |
328.82Мб |
| 08 - 2.2 Manage Colab documents.mp4 |
451.80Мб |
| 09 - 2.3 Use magic functions.mp4 |
156.26Мб |
| 1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url |
328б |
| 10 - 2.4 Understand compatibility with Jupyter.mp4 |
258.05Мб |
| 11 - Learning objectives.mp4 |
28.81Мб |
| 12 - 3.1 Write procedural code.mp4 |
112.86Мб |
| 13 - 3.2 Use simple expressions and variables.mp4 |
173.93Мб |
| 14 - 3.3 Work with the built-in types.mp4 |
66.60Мб |
| 15 - 3.4 Learn to Print.mp4 |
70.60Мб |
| 16 - 3.5 Perform basic math operations.mp4 |
167.11Мб |
| 17 - 3.6 Use classes and objects with dot notation.mp4 |
194.46Мб |
| 18 - Learning objectives.mp4 |
17.00Мб |
| 19 - 4.1 Use string methods.mp4 |
131.93Мб |
| 2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url |
286б |
| 20 - 4.2 Format strings.mp4 |
98.69Мб |
| 21 - 4.3 Manipulate strings - membership, slicing, and concatenation.mp4 |
136.75Мб |
| 22 - 4.4 Learn to use unicode.mp4 |
74.37Мб |
| 23 - Learning objectives.mp4 |
22.45Мб |
| 24 - 5.1 Use lists and tuples.mp4 |
369.96Мб |
| 25 - 5.2 Explore dictionaries.mp4 |
213.33Мб |
| 26 - 5.3 Dive into sets.mp4 |
83.03Мб |
| 27 - 5.4 Work with the numpy array.mp4 |
234.44Мб |
| 28 - 5.5 Use the Pandas DataFrame.mp4 |
116.78Мб |
| 29 - 5.6 Use the Pandas Series.mp4 |
71.62Мб |
| 3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url |
163б |
| 30 - Learning objectives.mp4 |
24.00Мб |
| 31 - 6.1 Convert lists to dicts and back.mp4 |
74.45Мб |
| 32 - 6.2 Convert dicts to Pandas Dataframe.mp4 |
104.57Мб |
| 33 - 6.3 Convert characters to integers and back.mp4 |
35.73Мб |
| 34 - 6.4 Convert between hexadecimal, binary, and floats.mp4 |
101.36Мб |
| 35 - Learning objectives.mp4 |
24.93Мб |
| 36 - 7.1 Learn to loop with for loops.mp4 |
44.92Мб |
| 37 - 7.2 Repeat with while loops.mp4 |
50.23Мб |
| 38 - 7.3 Learn to handle exceptions.mp4 |
111.94Мб |
| 39 - 7.4 Use conditionals.mp4 |
168.25Мб |
| 4. (FTUApps.com) Download Cracked Developers Applications For Free.url |
239б |
| 40 - Learning objectives.mp4 |
22.46Мб |
| 41 - 8.1 Write and use functions.mp4 |
206.47Мб |
| 42 - 8.2 Learn to use decorators.mp4 |
210.94Мб |
| 43 - 8.3 Compose closure functions.mp4 |
132.86Мб |
| 44 - 8.4 Use lambdas.mp4 |
106.23Мб |
| 45 - 8.5 Advanced Use of Functions.mp4 |
319.02Мб |
| 46 - Learning objectives.mp4 |
33.79Мб |
| 47 - 9.1 Learn NumPy.mp4 |
287.95Мб |
| 48 - 9.2 Learn SciPy.mp4 |
664.99Мб |
| 49 - 9.3 Learn Pandas.mp4 |
335.61Мб |
| 5. (Discuss.FTUForum.com) FTU Discussion Forum.url |
294б |
| 50 - 9.4 Learn TensorFlow.mp4 |
341.90Мб |
| 51 - 9.5 Use Seaborn for 2D plots.mp4 |
261.65Мб |
| 52 - 9.6 Use Plotly for interactive plots.mp4 |
262.06Мб |
| 53 - 9.7 Specialized Visualization Libraries.mp4 |
241.69Мб |
| 54 - 9.8 Learn Natural Language Processing Libraries.mp4 |
124.95Мб |
| 55 - Learning objectives.mp4 |
27.70Мб |
| 56 - 10.1 Understand functional programming.mp4 |
151.13Мб |
| 57 - 10.2 Apply functions to data science workflows.mp4 |
47.12Мб |
| 58 - 10.3 Use map_reduce_filter.mp4 |
95.23Мб |
| 59 - 10.4 Use list comprehensions.mp4 |
98.27Мб |
| 60 - 10.5 Use dictionary comprehensions.mp4 |
15.45Мб |
| 61 - Learning objectives.mp4 |
17.83Мб |
| 62 - 11.1 Use generators.mp4 |
69.40Мб |
| 63 - 11.2 Design generator pipelines.mp4 |
141.25Мб |
| 64 - 11.3 Implement lazy evaluation functions.mp4 |
59.14Мб |
| 65 - Learning objectives.mp4 |
20.97Мб |
| 66 - 12.1 Perform simple pattern matching.mp4 |
97.05Мб |
| 67 - 12.2 Use regular expressions.mp4 |
284.59Мб |
| 68 - 12.3 Learn text processing techniques - Beautiful Soup.mp4 |
87.60Мб |
| 69 - Learning objectives.mp4 |
18.20Мб |
| 70 - 13.1 Sort in Python.mp4 |
186.66Мб |
| 71 - 13.2 Create custom sorting functions.mp4 |
229.33Мб |
| 72 - 13.3 Sort in Pandas.mp4 |
301.95Мб |
| 73 - Learning objectives.mp4 |
22.10Мб |
| 74 - 14.1 Read and write files - file, pickle, CSV, JSON.mp4 |
214.71Мб |
| 75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 |
336.50Мб |
| 76 - 14.3 Read and write using web resources (requests, boto, github).mp4 |
110.86Мб |
| 77 - 14.4 Use function-based concurrency.mp4 |
608.14Мб |
| 78 - Learning objectives.mp4 |
20.91Мб |
| 79 - 15.1 Share with Github.mp4 |
358.09Мб |
| 80 - 15.2 Create Kaggle Kernels.mp4 |
207.48Мб |
| 81 - 15.3 Collaborate with Colab.mp4 |
125.18Мб |
| 82 - 15.4 Post public graphs with Plotly.mp4 |
103.50Мб |
| 83 - Learning Objectives.mp4 |
28.71Мб |
| 84 - 16.1 PyTest.mp4 |
372.92Мб |
| 85 - 16.2 Visual Studio Code.mp4 |
364.64Мб |
| 86 - 16.3 Vim.mp4 |
136.81Мб |
| 87 - 16.4 Ludwig (Open Source AutoML).mp4 |
146.48Мб |
| 88 - 16.5 Sklearn Algorithm Cheatsheet.mp4 |
104.05Мб |
| 89 - 16.6 Recommendations.mp4 |
47.75Мб |
| How you can help Team-FTU.txt |
237б |