Python for Machine Learning Project based Master course
Python, Regression, Decision Trees, SVM, Numpy, Pandas, Scikit-Learn, Matplotlib streamlit, and Matplotlib are used to learn about Machine Learning.
What you’ll learn
Python for Machine Learning Project based Master course
- The best way to do Data Science or Machine Learning is with Python, which you can learn.
- Create a web app for Machine Learning projects with streamlit.
- Learn how to use Pandas to do data analysis, and then you can do it.
- Scikit-Learn should be used for Machine Learning projects.
- Regression in a straight line
- Matplotlib is a Python library that can be used to make graphs and charts.
- Random Forest and Decision Trees are two ways to look at things.
- Vector machines need support.
- Learn how to use NumPy to work with numbers.
Requirements
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None
Description
Are you ready to start a new job in Machine learning and as a Data Analyst? In this course, we’ll show you how to use the power of Python and the libraries to analyze data, make beautiful visualizations, and use powerful machine learning algorithms to learn.
It is a great course that will teach you how to set up the project step by step. You will learn how to install python and the libraries, as well as how to finish the project. It’s possible to do three projects that let you use supervised and unsupervised learning in the projects.
You will learn how to make these projects:
- Predictor of Salary
- Classification is a web app
- BMIÂ Calculator
A lot of Machine learning libraries will be used in these projects. This class will show you how to use and put them in. The list:
- Streamlit
- KNNÂ Clustering
- SVM
- Numpy
- Pandas
- MatplotLib
- Scikit-Learn
You will also be able to test your knowledge of Streamlit and Machine Learning by taking a quiz. As a bonus, there is also a contest to make a BMI calculator. Video and text are used to show how to do things.
Developer Shack and I have a lot of exciting things in store for you. We’re going to take a look at Machine Learning for Data Science.
Sign up right now, and we’ll make some great Machine learning apps!
Who this course is for:
- Machine Learning fans.
- Do you want to be a data scientist? If so, this is the place to be!
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