| 1 - Variables in Python.mp4 | 25.1 MB | ||
| 10 - While loop.mp4 | 32.6 MB | ||
| 11 - Example of while loop.mp4 | 15.4 MB | ||
| 12 - For Loop.mp4 | 37.5 MB | ||
| 13 - Example of For Loop.mp4 | 12.1 MB | ||
| 14 - Break Continue Statement.mp4 | 12.2 MB | ||
| 15 - Introduction to containers.mp4 | 45 MB | ||
| 16 - Creating and accessing lists in Python.mp4 | 41.7 MB | ||
| 17 - List indexing and slicing.mp4 | 39.1 MB | ||
| 18 - Working with List methods.mp4 | 189.7 MB | ||
| 19 - Working with operators on lists.mp4 | 19.2 MB | ||
| 2 - Conditionals If statement.mp4 | 23.8 MB | ||
| 20 - List Comprehension.mp4 | 18 MB | ||
| 21 - Tuple definition.mp4 | 49.5 MB | ||
| 22 - Tuples.mp4 | 15 MB | ||
| 23 - Tuple Indexing Slicing.mp4 | 78.6 MB | ||
| 24 - Manipulating Tuples.mp4 | 28.5 MB | ||
| 25 - Unpacking Tuples.mp4 | 5.4 MB | ||
| 26 - Sets.mp4 | 48.5 MB | ||
| 27 - Dictionaries.mp4 | 75.4 MB | ||
| 28 - Basics of dictionary.mp4 | 133.1 MB | ||
| 29 - Accessing dictionary.mp4 | 44.3 MB | ||
| 3 - Example for If statement.mp4 | 20.1 MB | ||
| 30 - len str type functions in dictionary.mp4 | 25.9 MB | ||
| 31 - Functions in python.mp4 | 33 MB | ||
| 32 - Example program1 on Functions.mp4 | 58.2 MB | ||
| 33 - Example program2 on functions.mp4 | 52.7 MB | ||
| 34 - Introduction to modules in python.mp4 | 11.3 MB | ||
| 35 - Creating Displaying 1D array.mp4 | 13.9 MB | ||
| 36 - Understanding 1D array Index.mp4 | 35.1 MB | ||
| 37 - Creating Array of 0s and Array of 1s.mp4 | 21.9 MB | ||
| 38 - Sorting elements in 1D array.mp4 | 15.4 MB | ||
| 39 - Slicing a 1D array.mp4 | 42.6 MB | ||
| 4 - If else statement.mp4 | 10 MB | ||
| 40 - Mathematical Operations on Array.mp4 | 53.4 MB | ||
| 41 - Searching an element in a Array.mp4 | 30.6 MB | ||
| 42 - Filtering an array.mp4 | 17.7 MB | ||
| 43 - Checking whether given array is empty or not.mp4 | 32.3 MB | ||
| 44 - Creating Displaying 2D array.mp4 | 11.7 MB | ||
| 45 - ndim Attribute.mp4 | 26.9 MB | ||
| 46 - Size Attribute.mp4 | 28.5 MB | ||
| 47 - Shape and reshape of array.mp4 | 37.6 MB | ||
| 48 - Creating an Identity Matrix.mp4 | 25.5 MB | ||
| 49 - arange.mp4 | 32.9 MB | ||
| 5 - Example of If else statement.mp4 | 12.4 MB | ||
| 50 - linspace.mp4 | 17.4 MB | ||
| 51 - Random array.mp4 | 13 MB | ||
| 52 - Random matrix.mp4 | 15.2 MB | ||
| 53 - Creating a diagonal matrix.mp4 | 11.2 MB | ||
| 54 - Flatten a Matrix.mp4 | 23.6 MB | ||
| 55 - Computing Trace of a Matrix.mp4 | 36.5 MB | ||
| 56 - Finding Transpose of a Matrix.mp4 | 49.7 MB | ||
| 57 - Negative indexing to access elements in a 2D array.mp4 | 14.7 MB | ||
| 58 - Introduction to Pandas.mp4 | 80.7 MB | ||
| 59 - Working with series in Pandas.mp4 | 52 MB | ||
| 6 - Nested If statement.mp4 | 18.2 MB | ||
| 60 - Combining series with Numpy.mp4 | 40.7 MB | ||
| 61 - Finding number of elements in a series.mp4 | 10.1 MB | ||
| 62 - Computing mean max and min in a series.mp4 | 25.6 MB | ||
| 63 - Sorting a Series.mp4 | 16.5 MB | ||
| 64 - Displaying Unique values in a Series.mp4 | 15.1 MB | ||
| 65 - Summary of series statistics.mp4 | 12.8 MB | ||
| 66 - Introduction to Matplotlib.mp4 | 6.9 MB | ||
| 67 - Creating Line Graph.mp4 | 34.9 MB | ||
| 68 - Creating Bar Graph.mp4 | 19.5 MB | ||
| 69 - Creating Scatter Graph.mp4 | 8.7 MB | ||
| 7 - Example for Nested If statement.mp4 | 24.6 MB | ||
| 70 - Creating Histogram Graph.mp4 | 15 MB | ||
| 71 - Creating Pie Chart.mp4 | 17.1 MB | ||
| 72 - Creating 3D Plot.mp4 | 9.5 MB | ||
| 73 - Creating 3D Line graph.mp4 | 4 MB | ||
| 74 - Understanding a sample Dataset Downloadable.mp4 | 28.2 MB | ||
| 74 - tips.csv | 9.5 KB | ||
| 75 - Introduction to Seaborn.mp4 | 37.2 MB | ||
| 76 - Swarm Plot.mp4 | 51.7 MB | ||
| 77 - Violin Plot.mp4 | 23.2 MB | ||
| 78 - Facet Grids.mp4 | 59.7 MB | ||
| 79 - Heatmap.mp4 | 23.5 MB | ||
| 8 - Elif statement.mp4 | 18.6 MB | ||
| 9 - Example for Elif statement.mp4 | 15.2 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 82 total files | |||
2023 Master Class On Data Science Using Python A-Z™ : For Ml
https://DevCourseWeb.com
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.43 GB | Duration: 5h 49m
Python NumPy, Pandas, Matplotlib and Seaborn for Data Analysis, Data Science and ML. Pre-machine learning Analysis.
What you'll learn
Students will learn how to create and manipulate arrays, perform mathematical operations on arrays, and use functions such as sorting, searching, and statistics
Students will learn how to create and manipulate Series and Data Frames.
Students will learn how to create plots and charts, customize the appearance of visualizations, and add annotations and labels.
NumPy, Pandas, and Matplotlib will typically teach students how to use these tools to analyze and visualize data.
Requirements
Little knowledge in Python will be an added advantage. Student can still learn python basics from the BONUS section.
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