Step by Step Project-Based Tutorials for Data Science with Python GUI: Traffic and Heart Attack Analysis and Prediction |
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| Author:
| Siahaan, Vivian |
| ISBN: | 979-8-5342-8655-7 |
| Publication Date: | Jul 2021 |
| Publisher: | Independently Published
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| Book Format: | Paperback |
| List Price: | USD $15.00 |
Book Description:
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In this book, you will implement two data science projects using Scikit-Learn, Scipy, and other libraries with Python GUI. In Chapter 1, you will learn how to use Scikit-Learn, Scipy, and other libraries to perform how to predict traffic (number of vehicles) in four different junctions using Traffic Prediction Dataset provided by Kaggle (https://www.kaggle.com/fedesoriano/traffic-prediction-dataset/download). This dataset contains 48.1k (48120) observations of the number...
More DescriptionIn this book, you will implement two data science projects using Scikit-Learn, Scipy, and other libraries with Python GUI.
In Chapter 1, you will learn how to use Scikit-Learn, Scipy, and other libraries to perform how to predict traffic (number of vehicles) in four different junctions using Traffic Prediction Dataset provided by Kaggle (https://www.kaggle.com/fedesoriano/traffic-prediction-dataset/download). This dataset contains 48.1k (48120) observations of the number of vehicles each hour in four different junctions: 1) DateTime; 2) Juction; 3) Vehicles; and 4) ID.
In Chapter 2, you will learn how to use Scikit-Learn, NumPy, Pandas, and other libraries to perform how to analyze and predict heart attack using Heart Attack Analysis & Prediction Dataset provided by Kaggle (https://www.kaggle.com/rashikrahmanpritom/heart-attack-analysis-prediction-dataset/download).