profile

Data Science : Hands-on Guided Project on Graduate Admission Prediction Using Machine Learning

Information TechnologyOnline Courses and Subscription Services
profile

Would you like to learn how to predict Chance of Admission into Graduate School using Machine Learning?

Have you ever desired to build a Machine Learning Model?

If the answer to any of the question is “YES”, then you will love this project.

This is a Practical Hands-on Machine Learning Guided Project. You learn by Practice. No unnecessary lectures. No unnecessary details. Direct to the point.

Enrol Now and let’s build a Machine Learning Model together in under 1 hour. We will build a Machine Learning Model and we will feed the data of thousands of students and their GRE Score, TOEFL Score, CGPA, SOP. LOR, University rating and Research to the Model and train it in order to predict the Chance of Admit to Graduate School. In the end, we will test the model and evaluate its performance.

When you complete the project, you will be proud of yourself on what you have learned and achieved.

You will learn more in this one hour of Practice than hundreds of hours of unnecessary theoretical lectures. Learn the most important aspect of Data Science :

Importing all the necessary Libraries

Importing and Exploring Datasets

Building a Linear Regression Machine Learning Model

Training, Testing and Evaluating the model

We will build a Machine Learning model to predict Graduate Admissions. In this hands-on project, we will complete the following tasks:

Task 1: Brief theoretical information about Libraries, Dataset, Linear Regression Algorithm and Google Colab Environment

Task 2: Importing all the necessary Libraries

Task 3: Importing the Graduate Admission dataset to the Colab Environment

Task 4: Data Cleaning: Removing unnecessary columns

Task 5: Exploratory Data Analysis using graphs: Correlation & feature selection

Task 6: Splitting the Dataset into Training and Testing sets

Task 7: Building and Training Linear Regression Model

Task 8: Performance evaluation & Testing the model

So, grab a coffee, turn on your laptop, click on the “Enrol Now” button and start learning.

Read More
  1. Advantages
  2. Details
  3. Content

This is a Hands-on guided project. It's practical and by the end of the project, you will be comfortable in importing libraries, exploring dataset and building a Machine learning model and training. testing and evaluating it. By the end of this 1-hour project, you will have created a Machine learning model that can predict graduate admissions. WOW. You can brag about it and showcase the skills on your resume and catapult your career in the high paying technology industry. You will receive a certificate of completion.

Advantages

15-day warranty
Digital Completion Certificate
Safe payments
Hotmart Support
Access in all devices
Pay with two cards
Access via Hotmart Sparkle
How can I access it?

After your purchase, the product will be available in your account

You'll access your product through a link that we'll send to your email. You can also access it on this page.

Frequently Asked Questions