Title
Python for Machine Learning Certification Master course
Learn Machine Learning using Python, Regression, Decision Trees, SVM, Numpy, Pandas, Scikit-Learn, Matplotlib streamlit

What you will learn
Use Python for Data Science and Machine Learning
Create Machine Learning projects webapp using streamlit
Learn to use Pandas for Data analysis
Implement Scikit-Learn for Machine Learning projects
Linear Regression
Learn to use Matplotlib for Python Plotting
Random Forest and Decision Trees
Support Vector Machines
Learn to use NumPy for Numerical Data
Why take this course?
π Python for Machine Learning Project-Based Master Course with Salvatore Aetos ππ¨βπ»
Embark on Your Data Science Journey!
Are you ready to kickstart your career in Machine Learning and become a proficient Data Scientist? Look no further! This comprehensive Python for Machine Learning Master Course is your ultimate guide to harnessing the power of Python, along with its robust libraries, to master data analysis, create stunning visualizations, and apply advanced machine learning algorithms.
Course Highlights:
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π Project-Driven Learning: This course is not just about theory; it's about real-world application. You will work on three substantial projects that cover both supervised and unsupervised learning.
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Hands-On Projects:
- Salary Predictor: Learn to predict salaries based on various factors.
- Classification Webapp: Develop a web app for classifying data points into different categories.
- BMI Calculator: Create an interactive tool that calculates BMI and categorizes individuals' health status.
Essential Libraries & Tools You Will Master:
- Streamlit: Build interactive, shareable web apps for your data analysis and machine learning projects.
- KNN Clustering: Explore unsupervised learning with K-Nearest Neighbors (KNN).
- SVM: Understand the concepts of Support Vector Machines (SVM) and how to implement them.
- Numpy & Pandas: Manipulate and analyze data efficiently with these essential libraries.
- MatplotLib: Visualize your data with beautiful, informative charts and plots.
- Scikit-Learn: Implement machine learning algorithms in a practical, straightforward manner using this powerful library.
Assessment & Challenges:
- Quizzes: Test your knowledge with engaging quizzes on Streamlit and Machine Learning concepts.
- BMI Calculator Challenge: Put your skills to the test by creating a functional BMI calculator. Solutions are provided in both text and video format, ensuring no student is left behind.
Join Developer Shack on an Exciting Adventure!
π Unlock the Secrets of Machine Learning for Data Science with Salvatore Aetos as your experienced guide through this fascinating field.
π Sign up now and embark on a journey to create amazing machine learning applications. This course is designed to help you build a solid foundation in data science, using Python as your toolkit for success.
Don't miss out on the opportunity to transform your skills and career with this project-based master course. Enroll today and take your first step towards becoming an expert in machine learning with Python! π€π
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