10 data science projects

10 data science projects, available at $29.99, has an average rating of 4.3, with 11 lectures, based on 16 reviews, and has 3581 subscribers.

You will learn about Learn about data science projects and its various libraries 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 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: 10 data science projects

Summary

Title: 10 data science projects

Price: $29.99

Average Rating: 4.3

Number of Lectures: 11

Number of Published Lectures: 11

Number of Curriculum Items: 11

Number of Published Curriculum Objects: 11

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

Learn about data science projects and its various libraries 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

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 on10 real life data science projects– You will work on 10 interesting projects which are used in data science industry.

ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT  INDUSTRY LEVEL DATA SCIENCE PROJECTS

Do you want to harness the power of data science?

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

Do you want to learn how to deploy a model?

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

My course provides a foundation to carry out real life data science 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.

Through this course you will:

Gain proficiency in setting up and using jupyter notebooks for Python Data Science tasks.

Work on supervised learning classification and regression based projects.

Work with unsupervised learning cluster analysis project.

Know about how to cleanup data before feeding into model.

How to tune the model accuracy.

Deploy the model using flask api.

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: Introduction

Lecture 1: Introduction

Chapter 2: Project 1

Lecture 1: House price prediction project

Chapter 3: Project 2

Lecture 1: Tesla stock price prediction

Chapter 4: Project 3

Lecture 1: credit card fraud detection

Chapter 5: Project 4

Lecture 1: Wine quality classification

Chapter 6: Project 5

Lecture 1: stroke prediction

Chapter 7: Project 6

Lecture 1: Rainfall prediction

Chapter 8: Project 7

Lecture 1: Movie recommendation system

Chapter 9: Project 8

Lecture 1: Cervical cancer classification

Chapter 10: Project 9

Lecture 1: Fake news detection

Chapter 11: Project 10

Lecture 1: Customer segmentation

Instructors

Neuralclass Academy
Learn from the experts in the field!

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 1 votes

4 stars: 9 votes

5 stars: 5 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!