Data Science: Build, Train & Test a Machine Learning Model

Data Science: Build, Train & Test a Machine Learning Model, A practical Hands-on Data Science Project on Graduate Admission Prediction Using Machine Learning

Created by School of Disruptive Innovation

English

English [Auto]

PREVIEW THIS COURSE - GET COUPON CODE

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 va