2023 年使用 Python A-Z 进行数据科学大师班 - 适用于机器学习
- 2 - Data Handling using Numpy
- 34 - Introduction to modules in python
- 35 - Creating Displaying 1D array
- 36 - Understanding 1D array Index
- 37 - Creating Array of 0s and Array of 1s
- 38 - Sorting elements in 1D array
- 39 - Slicing a 1D array
- 40 - Mathematical Operations on Array
- 41 - Searching an element in a Array
- 42 - Filtering an array
- 43 - Checking whether given array is empty or not
- 44 - Creating Displaying 2D array
- 45 - ndim Attribute
- 46 - Size Attribute
- 47 - Shape and reshape of array
- 48 - Creating an Identity Matrix
- 49 - arange
- 50 - linspace
- 51 - Random array
- 52 - Random matrix
- 53 - Creating a diagonal matrix
- 54 - Flatten a Matrix
- 55 - Computing Trace of a Matrix
- 56 - Finding Transpose of a Matrix
- 57 - Negative indexing to access elements in a 2D array
- 3 - Data Handling using Pandas
- 58 - Introduction to Pandas
- 59 - Working with series in Pandas
- 60 - Combining series with Numpy
- 61 - Finding number of elements in a series
- 62 - Computing mean max and min in a series
- 63 - Sorting a Series
- 64 - Displaying Unique values in a Series
- 65 - Summary of series statistics
- 4 - Data Visualization using Matplotlib in Python
- 66 - Introduction to Matplotlib
- 67 - Creating Line Graph
- 68 - Creating Bar Graph
- 69 - Creating Scatter Graph
- 70 - Creating Histogram Graph
- 71 - Creating Pie Chart
- 72 - Creating 3D Plot
- 73 - Creating 3D Line graph
- 5 - Data Visualization using Seaborn in Python
- 74 - Understanding a sample Dataset Downloadable
- 75 - Introduction to Seaborn
- 76 - Swarm Plot
- 77 - Violin Plot
- 78 - Facet Grids
- 79 - Heatmap