Title

Python for Machine Learning Certification Master course

Learn Machine Learning using Python, Regression, Decision Trees, SVM, Numpy, Pandas, Scikit-Learn, Matplotlib streamlit

3.00 (2 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Python for Machine Learning Certification Master course
10
students
3.5 hours
content
Jan 2025
last update
$19.99
regular price

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?

🌟 Python for Machine Learning Project-Based Master Course with Salvatore Aetos πŸŽ“πŸ‘¨β€πŸ’»


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:

  • πŸš€ 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.

  • 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!

πŸš€ Unlock the Secrets of Machine Learning for Data Science with Salvatore Aetos as your experienced guide through this fascinating field.

πŸ“… 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! πŸ€–πŸš€

Screenshots

Python for Machine Learning Certification Master course - Screenshot_01Python for Machine Learning Certification Master course - Screenshot_02Python for Machine Learning Certification Master course - Screenshot_03Python for Machine Learning Certification Master course - Screenshot_04

Reviews

Ida
December 17, 2024
The instructions are very slow and repetitive but most importantly where is the data ? The csv files are nowhere to be found and the project is undoable without the data.

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4457018
udemy ID
22/12/2021
course created date
14/10/2023
course indexed date
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