Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 34 Minute(s)
Language
English
Taught by
Salvatore Aetos
Rating
Course Overview
Learn Machine Learning using Python, Regression, Decision Trees, SVM, Numpy, Pandas, Scikit-Learn, Matplotlib streamlit
Are you ready to start your career in Machine learning and as a Data Scientist. This course will be your guide to learning how to use the power of Python and the libraries to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
Get certified in Machine learning. Please send me your email in my inbox and I will forward you your certification after your assessment. Please give at least few weeks to a month to receive your certificate via email as it is a popular course.
It is a brilliant course where you will learn how to setup the project step by step from installation of python and the libraries to finished project. There are three projects that will allow you to use and implement supervise and unsupervise learning in the projects.
You will learn to create the following projects:
1. Salary Predictor
2. Classification Webapp
3. BMI Calculator
This course will allow you to utilise and implement several Machine learning libraries to these projects. The list are:
Streamlit
KNN Clustering
SVM
Numpy
Pandas
MatplotLib
Scikit-Learn
Furthermore, you will be able to assess your knowledge through doing a quiz on Streamlit and Machine Learning. Also, a challenge is set to create a BMI calculator. Solutions are given in text form and video for explanation.
So I invite you to join me, Developer Shack on an exciting journey into unlocking the secrets of Machine Learning for Data Science.
Sign up right now, and let's create amazing Machine learning apps!
Course Content
- 7 section(s)
- 23 lecture(s)
- Section 1 Introduction
- Section 2 Python Start-up Information
- Section 3 Python Salary Predictor Project
- Section 4 Machine learning Classifier project
- Section 5 Challenge (Create a BMI calculator)
- Section 6 Chat GPT
- Section 7 Machine Learning and Streamlit Assessment
What You’ll 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
Skills covered in this course
Reviews
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IIda Clayes
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.
