[ FreeCourseWeb ] Udemy - Data Science - Admission Prediction using Machine Learning torrent

[ FreeCourseWeb.com ] Data Science : Admission Prediction using Machine Learning

Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com



Duration: 40m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | Size: 302 MB
Genre: eLearning | Language: English
A practical Data Science Hands-on Guided Project on Graduate Admission Prediction Using Machine Learning
What you'll learn
Using AI and Machine Learning to Predict Chance of Admit into Universities
Building, Training, Testing and Evaluating Machine learning Models
Learn to create heatmaps, correlation tables, scatter plots and distplot using Seaborn library
A-Z step by step guide into importing libraries, importing and exploring datasets, building a Machine learning model, training, testing and evaluating it.
Learn to work with Linear Regression Machine Learning Algorithm to create Machine Learning Models with approx 96 percent accuracy.
Importing, Exploring and Analyzing datasets and finding correlation between its variables

Requirements
Very basic knowledge of python and its libraries

Description
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?

Use Winrar to Extract. And use a shorter path when extracting, such as C: drive

ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)


Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com

Get More Tutorials and Support Us -->> https://DevCourseWeb.com

We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...