Python for Machine Learning Certification Master course

Python for Machine Learning Certification Master course, available at $19.99, with 23 lectures, 2 quizzes, and has 7 subscribers.

You will learn about 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 This course is ideal for individuals who are Machine Learning Enthusiasts or Data Scientist Enthusiasts It is particularly useful for Machine Learning Enthusiasts or Data Scientist Enthusiasts.

Enroll now: Python for Machine Learning Certification Master course

Summary

Title: Python for Machine Learning Certification Master course

Price: $19.99

Number of Lectures: 23

Number of Quizzes: 2

Number of Published Lectures: 23

Number of Published Quizzes: 2

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 25

Original Price: $79.99

Quality Status: approved

Status: Live

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

Who Should Attend

Machine Learning Enthusiasts
Data Scientist Enthusiasts

Target Audiences

Machine Learning Enthusiasts
Data Scientist Enthusiasts

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Python Start-up Information

Lecture 1: Python Start-up Information

Chapter 3: Python Salary Predictor Project

Lecture 1: Start-up Project

Lecture 2: Installation of Python libraries

Lecture 3: Title and Navigation

Lecture 4: Image and Load Data

Lecture 5: Interactive and Non-Interactive plots

Lecture 6: Graph plots adjusted

Lecture 7: Interactive slide connected to plots

Lecture 8: Prediction using Linear progression on Plots

Lecture 9: Changing Image

Lecture 10: Contribution to Data (Primary Data as .CSV)

Lecture 11: Further tips on Python Streamlit

Chapter 4: Machine learning Classifier project

Lecture 1: Project Setup and Streamlit Introduction

Lecture 2: Title and Side bar

Lecture 3: Shape of Datasets and Number of Classes

Lecture 4: Select Dataset and Keys

Lecture 5: Streamlit Classifiers and dealing with Errors

Lecture 6: Classifiers Accuracy Score

Lecture 7: Plotting the Dataset

Chapter 5: Challenge (Create a BMI calculator)

Lecture 1: Create a BMI Calculator (Only look at the code below if not sure)

Lecture 2: BMI Calculator video (Explanation of the code)

Chapter 6: Chat GPT

Lecture 1: dffd

Chapter 7: Machine Learning and Streamlit Assessment

Instructors

Salvatore Aetos
Professional Web Developer and Teacher

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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