Python Machine learning & Data mining Bootcamp

Python Machine learning & Data mining Bootcamp, available at $39.99, has an average rating of 3.7, with 19 lectures, 3 quizzes, based on 87 reviews, and has 17517 subscribers.

You will learn about Crawl pages for data (Data mining) Implement and use recommendation algorithms Understand how popular services such as Facebook, Instragram and Amazon recommend items to their users. This course is ideal for individuals who are Python Developers or People with an interest in data science or People with an interest in Machine Learning It is particularly useful for Python Developers or People with an interest in data science or People with an interest in Machine Learning.

Enroll now: Python Machine learning & Data mining Bootcamp

Summary

Title: Python Machine learning & Data mining Bootcamp

Price: $39.99

Average Rating: 3.7

Number of Lectures: 19

Number of Quizzes: 3

Number of Published Lectures: 19

Number of Published Quizzes: 3

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Crawl pages for data (Data mining)
Implement and use recommendation algorithms
Understand how popular services such as Facebook, Instragram and Amazon recommend items to their users.

Who Should Attend

Python Developers
People with an interest in data science
People with an interest in Machine Learning

Target Audiences

Python Developers
People with an interest in data science
People with an interest in Machine Learning

Python – Data Mining and Machine Learning is a comprehensive course designed to teach you how to use Python for data mining and machine learning. Whether you’re a beginner or an experienced programmer, this course will provide you with the tools and knowledge you need to work with data and build machine learning models using Python.

The course starts with an introduction to data mining and machine learning, including an overview of common machine learning algorithms and techniques. You’ll also learn how to use Python’s NumPy and Pandas libraries to work with data, as well as how to use Jupyter Notebooks for data analysis and visualization.

Next, you’ll learn how to build machine learning models using Python’s Scikit-learn library. You’ll learn how to preprocess data, split it into training and testing sets, and use various machine learning algorithms such as linear regression, decision trees, and random forests to build predictive models.

Throughout the course, you’ll work on practical, real-world projects that will help you apply your newfound knowledge and skills. These projects include predicting stock prices, analyzing customer reviews, and building a self-driving car using reinforcement learning.

By the end of the course, you’ll have a deep understanding of data mining and machine learning techniques, as well as the tools and techniques you need to build effective machine learning models using Python. Whether you’re a data analyst, a data scientist, or a machine learning engineer, this course will provide you with the skills you need to excel in your career.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Data source

Lecture 3: setup localhost

Chapter 2: Setup MySql (Database)

Lecture 1: Download MySql workbench

Lecture 2: Quick intro to databases

Lecture 3: Creating our Schema and tables

Lecture 4: Insert and request data to test our Schema

Chapter 3: Data/website Crawler

Lecture 1: Install Python 3.5+

Lecture 2: Regular Expressions

Lecture 3: User and Item Crawler

Lecture 4: Save items and Users in database

Lecture 5: Rating Crawler

Lecture 6: Save Ratings in database

Chapter 4: Python Recommender

Lecture 1: Intro to the Recommender Framework

Lecture 2: Underfitting Theory

Lecture 3: Overfitting Theory

Lecture 4: Implementing the Recommender

Lecture 5: Recommend based on crawled data

Chapter 5: Bonus Implementation

Lecture 1: Python Decision Tree

Instructors

Mark Nielsen
Software Developer

Rating Distribution

1 stars: 3 votes
2 stars: 9 votes
3 stars: 13 votes
4 stars: 23 votes
5 stars: 39 votes

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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