This course aims to introduce beginners to machine learning with Python, focusing on key libraries such as NumPy, Pandas, Matplotlib, and Seaborn. By the end of the course, learners will be able to work with NumPy arrays, Pandas data structures, and create various types of plots using Matplotlib and Seaborn. The teaching method includes tutorials on each library's functionalities and practical demonstrations of creating different types of visualizations. This course is intended for individuals interested in starting their journey in machine learning using Python.
Python Machine Learning for Beginners - Machine Learning with Python 2023
Overview
Syllabus
- NumPy Python Tutorial
- How to Create NumPy Array
- How to Initialize NumPy Array
- How to check the shape of NumPy arrays
- How to Join NumPy Arrays
- NumPy Intersection & Difference
- NumPy Array Mathematics
- NumPy Matrix
- How to Transpose NumPy Matrix
- NumPy Matrix Multiplication
- NumPy Save & Load
- Python Pandas Tutorial
- Pandas Series Object
- Pandas Dataframe
- Matplotlib Python Tutorial
- Line plot
- Bar plot
- Scatter Plot
- Histogram
- Box Plot
- Violin Plot
- Pie Chart
- DoughNut Chart
- SeaBorn Line Plot
- SeaBorn Bar Plot
- SeaBorn ScatterPlot
- SeaBorn Histogram/Distplot
- SeaBorn JointPlot
- SeaBorn BoxPlot
Taught by
Great Learning
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Reviews
4.0 rating, based on 1 Class Central review
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Arpit PalThis is the first time I have attended a class in this format and wondered how effective it would be. It was very effective and therefore I would definitely be interested in attending other classes in the same format. The instructor was very knowlegeable and provided a wealth of information about the current version, especially since the last version I used was several releases ago."
