Dive into a comprehensive 2.5-hour video tutorial on machine learning with Python for beginners. Master essential libraries like NumPy, Pandas, Matplotlib, and Seaborn. Learn to create and manipulate arrays, work with dataframes, and visualize data using various plot types. Gain hands-on experience with line, bar, scatter, histogram, box, violin, and pie charts. Explore advanced visualization techniques using Seaborn, including joint plots and distribution plots. Equip yourself with the fundamental skills needed to start your journey in machine learning and data science.
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."
