15 machine learning projects

15 machine learning projects, available at $39.99, has an average rating of 4.25, with 15 lectures, based on 37 reviews, and has 9294 subscribers.

You will learn about Learn about machine learning projects using python Learners will be working on real life projects. These projects can add great value in users resume and college project. Learn about how to deploy a machine learning model. Learn about supervised and unsupervised learning Use python to learn about various machine learning algorithms Learn how to work on different type of ML problems like regression,classification and clustering This course is ideal for individuals who are Those who wants to learn data science or Those who wants to get exposure with industry based projects or Those who wants to build amazing projects and make their resume shine during interviews. or Those who wants an edge over other applicants in interview. It is particularly useful for Those who wants to learn data science or Those who wants to get exposure with industry based projects or Those who wants to build amazing projects and make their resume shine during interviews. or Those who wants an edge over other applicants in interview.

Enroll now: 15 machine learning projects

Summary

Title: 15 machine learning projects

Price: $39.99

Average Rating: 4.25

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

Learn about machine learning projects using python

Learners will be working on real life projects.

These projects can add great value in users resume and college project.

Learn about how to deploy a machine learning model.

Learn about supervised and unsupervised learning

Use python to learn about various machine learning algorithms

Learn how to work on different type of ML problems like regression,classification and clustering

Who Should Attend

Those who wants to learn data science

Those who wants to get exposure with industry based projects

Those who wants to build amazing projects and make their resume shine during interviews.

Those who wants an edge over other applicants in interview.

Target Audiences

Those who wants to learn data science

Those who wants to get exposure with industry based projects

Those who wants to build amazing projects and make their resume shine during interviews.

Those who wants an edge over other applicants in interview.

This course is based on15 real life machine learning projects– You will work on 15 interesting projects which are used in machine learning industry.

My course provides a foundation to carry out real life machine learning projects. By taking this course, you are taking an important step forward in your data science journey to become an expert in harnessing the power of real projects.

ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT  INDUSTRY LEVEL MACHINE LEARNING PROJECTS

Do you want to harness the power of machine learning?

Are you looking to gain an edge by adding cool projects in your resume?

Do you want to learn how to deploy a machine learning model?

Gaining proficiency in machine learning can help you harness the power of the freely available data and information on the world wide web and turn it into actionable insights

Inside the course, you’ll learn how to:

Gain complete machine learning tool sets to tackle most real world problems

Understand the various regression, classification and other ml algorithms performance metrics such as R-squared, MSE, accuracy, confusion matrix, prevision, recall, etc. and when to use them.

Combine multiple models with by bagging, boosting or stacking

Make use to unsupervised Machine Learning (ML) algorithms such as Hierarchical clustering, k-means clustering etc. to understand your data

Develop in Jupyter (IPython) notebook, Spyder and various IDE

Communicate visually and effectively with Matplotlib and Seaborn

Engineer new features to improve algorithm predictions

Make use of train/test, K-fold and Stratified K-fold cross validation to select correct model and predict model perform with unseen data

Use SVM for handwriting recognition, and classification problems in general

Use decision trees to predict staff attrition

Apply the association rule to retail shopping datasets

And much much more!

No Machine Learning required. Although having some basic Python experience would be helpful, no prior Python knowledge is necessary as all the codes will be provided and the instructor will be going through them line-by-line and you get friendly support in the Q&A area.

Make This Investment in Yourself

If you want to ride the machine learning wave and enjoy the salaries that data scientists make, then this is the course for you!

Take this course and become a machine learning engineer!

In addition to all the above, you鈥檒l have MY CONTINUOUS SUPPORT to make sure you get the most value out of your investment!

ENROLL NOW 馃檪

Course Curriculum

Chapter 1: Project 1

Lecture 1: US house price prediction

Chapter 2: Project 2

Lecture 1: Tesla stock price prediction

Chapter 3: Project 3

Lecture 1: Credit card fraud detection

Chapter 4: Project 4

Lecture 1: Wine quality prediction

Chapter 5: Project 5

Lecture 1: Stroke prediction

Chapter 6: Project 6

Lecture 1: Rainfall prediction

Chapter 7: Project 7

Lecture 1: Movie recommendation system

Chapter 8: Project 8

Lecture 1: Cervical cancer classification

Chapter 9: Project 9

Lecture 1: Fake news detection

Chapter 10: Project 10

Lecture 1: Customer segmentation

Chapter 11: Project 11

Lecture 1: Company banktruptcy prediction

Chapter 12: Project 12

Lecture 1: Cyberbullying prediction

Chapter 13: Project 13

Lecture 1: Flight price prediction

Chapter 14: Project 14

Lecture 1: Spam classification

Chapter 15: Project 15

Lecture 1: Twitter sentiment analysis

Instructors

Neuralclass Academy
Learn from the experts in the field!

Rating Distribution

1 stars: 4 votes

2 stars: 1 votes

3 stars: 6 votes

4 stars: 14 votes

5 stars: 12 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!