Course Information
Course Overview
Python, Numpy, Pandas, Matplotlib, Seaborn, Statistics And Machine Learning (both Supervised and Unsupervised Learning)
This course is about Machine Learning with Python. You will learn Python Programming, Numpy, Pandas, Matplotlib, Seaborn and Sklearn packages, Statistics and Machine Learning step by step practically. Basic understanding of Programming concepts like If Condition, Loops is necessary. Python programming, Packages, Statistics, Data Visualization, Supervised Learning and Unsupervsed Learning, etc., will be explained from scratch.
Course Content
- 10 section(s)
- 164 lecture(s)
- Section 1 Introduction
- Section 2 Python Programming
- Section 3 Numpy
- Section 4 Pandas
- Section 5 Time Series Analysis
- Section 6 Matplotlib
- Section 7 Seaborn
- Section 8 Statistics
- Section 9 Machine Learning Basics
- Section 10 Projects
What You’ll Learn
- Python, Statistics, Data Visualization And Machine Learning
Skills covered in this course
Reviews
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EEhud Gluzberg
I was expecting more theoratical stuff
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RRalph Shelly
Tremendous value for the amount of content.
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SSharanu B
This is one of the best course for very beginners, it'll introduce some important ML, Pandas, Numpy, Matplotlib and python topics. If you're looking for complete practical course, go for this. there are few topics missing(Python classes/inheritant etc) and course materials(datasheet) are not available completely.
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SSyed Haider Zaidi
A good beginner course on python and machine Learning