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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
93.84KB |
| 1 |
183.89KB |
| 1.1 ChatGPT+Prompt+Guide.docx |
1.76MB |
| 1.1 Goggle Collab Tutorial.html |
89B |
| 1.1 gpt.zip |
1.24MB |
| 1.1 Prompt_Import_Export_datasets.zip |
255.58KB |
| 1.1 Prompt Guide.html |
159B |
| 1.1 Prompts_AnacondaOnWindows.zip |
258.71KB |
| 1.1 Prompts_Combining_Multiple_Dataframes.zip |
261.39KB |
| 1.1 Prompts_GroupBy.zip |
252.41KB |
| 1.1 Prompts_Jupyter_Notebook.zip |
264.31KB |
| 1.1 Prompts_Python_Crash_Course.zip |
280.19KB |
| 1.1 Prompts_Series .zip |
531.30KB |
| 1.1 Prompts_Visualisations.zip |
263.00KB |
| 1.1 Prompts .zip |
260.17KB |
| 1.2 Notebook.zip |
663.40KB |
| 1.2 Tutorial for installing and running anaconda in windows.html |
89B |
| 1. A quick way to start coding without installing any software.mp4 |
27.83MB |
| 1. Congrats.mp4 |
12.73MB |
| 1. Correlation heatmap on movies data set.mp4 |
240.82MB |
| 1. Download Anaconda.mp4 |
29.16MB |
| 1. E-commerce Transactions.mp4 |
301.26MB |
| 1. Exploring and cleaning data set data set.mp4 |
130.36MB |
| 1. GPT 4 Intro.mp4 |
12.45MB |
| 1. Installing Anaconda on Windows.html |
642B |
| 1. Introduction.mp4 |
42.33MB |
| 1. Introduction to Visualisation Section.mp4 |
15.55MB |
| 1. Intro to DataFrame section.mp4 |
26.21MB |
| 1. Intro to GroupBy.mp4 |
70.57MB |
| 1. Intro to Importing and Exporting data.mp4 |
27.53MB |
| 1. Intro to Prompt Engineering.mp4 |
15.07MB |
| 1. Intro to Series Section.mp4 |
14.58MB |
| 1. Intro to the Dataset used in this section.mp4 |
31.10MB |
| 1. Open and save new python scripts.mp4 |
62.66MB |
| 1. Stock price analysis using yahoo finance.mp4 |
234.48MB |
| 1. Working with comments.mp4 |
25.32MB |
| 10 |
36.54KB |
| 10. Create a Pie Chart.mp4 |
10.62MB |
| 10. Filter by one and more than one columns.mp4 |
44.30MB |
| 10. In & Not In functions.mp4 |
44.69MB |
| 10. Series Attributes.mp4 |
29.16MB |
| 11 |
110.99KB |
| 11. Working with Lists Data Type.mp4 |
79.92MB |
| 11. Working with Missing Values NaN.mp4 |
50.79MB |
| 12 |
97.63KB |
| 12. Index and Slicing.mp4 |
95.45MB |
| 13 |
100.21KB |
| 13. Data Type Dictionary and IF function.mp4 |
108.93MB |
| 14 |
693.94KB |
| 14. For Loop.mp4 |
58.78MB |
| 15 |
126.46KB |
| 16 |
768.71KB |
| 17 |
62.50KB |
| 18 |
85.09KB |
| 19 |
760.65KB |
| 2 |
133.13KB |
| 2.1 Prompts_DataFrames.zip |
262.33KB |
| 2.1 Resources for Intro Section.zip |
611.27KB |
| 2. Basic prompts to start with.mp4 |
90.90MB |
| 2. Combine DataFrames with Concat & Append.mp4 |
39.66MB |
| 2. Data Types in Python.mp4 |
70.98MB |
| 2. Extract Apple Stock Price data using Yahoo Finance Library.mp4 |
68.31MB |
| 2. Importing a dataframe from CSV.mp4 |
95.54MB |
| 2. Importing data from a url.mp4 |
17.96MB |
| 2. Install Anaconda on Mac.mp4 |
42.41MB |
| 2. Keyboard Shortcuts in Jupyter.mp4 |
27.93MB |
| 2. Plotting time series of salaries for various job titles.mp4 |
239.60MB |
| 2. Quick Preview on the Power of ChatGPT for Data Analysis.mp4 |
85.88MB |
| 2. The Process of Drafting and Refining Prompts.mp4 |
64.07MB |
| 2. Using GroupBy for exploratory analysis and data insights.mp4 |
52.90MB |
| 2. What are Series.mp4 |
74.56MB |
| 20 |
222.14KB |
| 21 |
453.93KB |
| 22 |
453.78KB |
| 23 |
397.76KB |
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633.97KB |
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| 26 |
99.18KB |
| 27 |
444.50KB |
| 28 |
708.56KB |
| 29 |
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| 3 |
3.20KB |
| 3. Converting different data types into Series.mp4 |
65.31MB |
| 3. Drafting a Prompt.mp4 |
75.78MB |
| 3. Exporting data to excel.mp4 |
20.76MB |
| 3. GroupBy by multiple columns & Aggregate method.mp4 |
49.22MB |
| 3. Header in Jupyter.mp4 |
34.75MB |
| 3. Merging Dataset based on one KEY column.mp4 |
72.38MB |
| 3. Open Conda from Terminal and Create Environment.mp4 |
119.52MB |
| 3. Operators.mp4 |
38.94MB |
| 3. Plotting with Matplotlib library.mp4 |
22.41MB |
| 3. Resources provided in this course.mp4 |
29.21MB |
| 3. Types of Prompting.mp4 |
42.20MB |
| 3. Working with missing (NaN) values.mp4 |
98.43MB |
| 30 |
702.34KB |
| 31 |
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243.02KB |
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729.14KB |
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349.14KB |
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221.96KB |
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785.63KB |
| 39 |
136.62KB |
| 4 |
43.82KB |
| 4. Cell Types & Modes in JupyterNotebook.mp4 |
37.66MB |
| 4. Course Outline.mp4 |
76.26MB |
| 4. Drafting a prompt continued.mp4 |
75.56MB |
| 4. Environments & Libraries.mp4 |
94.39MB |
| 4. Exporting data as .csv & .txt files.mp4 |
13.23MB |
| 4. Extracting numbers from a string column.mp4 |
56.87MB |
| 4. Merging based on multiple columns.mp4 |
36.66MB |
| 4. Priming Prompt.mp4 |
51.77MB |
| 4. Series Methods.mp4 |
57.23MB |
| 4. Understanding visualisations features available.mp4 |
34.92MB |
| 4. Working with variables.mp4 |
56.38MB |
| 40 |
632.30KB |
| 41 |
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| 42 |
238.69KB |
| 43 |
749.41KB |
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217.78KB |
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| 46 |
458.44KB |
| 47 |
792.58KB |
| 48 |
623.18KB |
| 49 |
318.33KB |
| 5 |
231.83KB |
| 5.1 Datasets.zip |
8.09MB |
| 5.2 Jupyter Notebooks.zip |
574.81KB |
| 5. Download Resources.html |
547B |
| 5. Filter & Sort Columns.mp4 |
40.83MB |
| 5. How parameter for merging multiple dataframes.mp4 |
63.29MB |
| 5. Importing multiple files as data frames from a folder path location.mp4 |
60.29MB |
| 5. Open Jupyter Notebook.mp4 |
29.63MB |
| 5. Outputs from Jupyter Cells.mp4 |
16.99MB |
| 5. Task Decomposition.mp4 |
85.25MB |
| 5. The art of follow up prompts.mp4 |
28.85MB |
| 5. Understanding the PD.Series Function with GPT.mp4 |
70.90MB |
| 5. updating variable values multiple times.mp4 |
24.98MB |
| 5. Visualisation features continued.mp4 |
30.12MB |
| 50 |
712.96KB |
| 51 |
330.38KB |
| 52 |
922.74KB |
| 53 |
609.18KB |
| 54 |
683.28KB |
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| 56 |
71.82KB |
| 57 |
170.38KB |
| 58 |
350.13KB |
| 59 |
66.39KB |
| 6 |
67.26KB |
| 6. Applying visualisations features on AAPL stock price.mp4 |
57.41MB |
| 6. Built-in functions in Python.mp4 |
47.55MB |
| 6. Closing Jupyter and Terminal.mp4 |
51.27MB |
| 6. Combining dataframes using Left Join.mp4 |
34.86MB |
| 6. Identify and remove duplicate rows.mp4 |
31.22MB |
| 6. Importing a column as a Series from CSV.mp4 |
86.08MB |
| 6. Importing Libraries.mp4 |
63.76MB |
| 6. Importing multiple files continued.mp4 |
28.12MB |
| 60 |
348.73KB |
| 61 |
346.49KB |
| 62 |
84.23KB |
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146.92KB |
| 64 |
260.59KB |
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| 66 |
801.24KB |
| 67 |
923.34KB |
| 68 |
902.86KB |
| 69 |
373.94KB |
| 7 |
240.58KB |
| 7. Apply basic functions on series data set.mp4 |
82.94MB |
| 7. Custom Functions.mp4 |
86.90MB |
| 7. Filtering data frame by specific columns values.mp4 |
31.27MB |
| 7. Merging dataset with Left & Right Join by using different key parameters.mp4 |
43.10MB |
| 7. Plotting percent change in prices.mp4 |
47.23MB |
| 70 |
808.25KB |
| 71 |
856.06KB |
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864.37KB |
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151.21KB |
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| 78 |
805.03KB |
| 79 |
503.55KB |
| 8 |
10.96KB |
| 8. Filter, Overwrite specific data in the series and Get method on Get Method.mp4 |
41.93MB |
| 8. Filtering by multiple column conditions.mp4 |
43.68MB |
| 8. Plotting a Histogram.mp4 |
45.39MB |
| 8. String Methods.mp4 |
66.43MB |
| 80 |
694.26KB |
| 81 |
805.74KB |
| 82 |
23.80KB |
| 83 |
599.71KB |
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| 87 |
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952.83KB |
| 89 |
425.47KB |
| 9 |
206.97KB |
| 9. Custom Functions and .apply() on a Series.mp4 |
72.61MB |
| 9. Filter text columns by parsing strings.mp4 |
25.51MB |
| 9. Modifying existing variables with string methods.mp4 |
25.21MB |
| 9. Modifying the visual aesthetics of the histogram.mp4 |
98.51MB |
| 90 |
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273.55KB |
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384.74KB |
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| 95 |
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| TutsNode.net.txt |
63B |