Datascience - Guides d'étude, Notes de cours & Résumés

I wrote these notes for the course Big Data in Biomedical Sciences. I tried to write all the important information. Everywhere you read (EXAM QUESTION), this subject literally came back in my exam. I got an 8.1, I hope it helps others too!

Notes made from class slides, textbook and lecture notes

Dit document bevat een samenvatting over verschillende testen die uitgevoerd kunnen worden in SPSS met de nodig uitleg om deze testen uit te kunnen voeren.

project3-Copy1 December 31, 2018 1 Project 3 - Classification Welcome to the third project of Data 8! You will build a classifier that guesses whether a movie is romance or action, using only the numbers of times words appear in the movies’s screenplay. By the end of the project, you should know how to: 1. Build a k-nearest-neighbors classifier. 2. Test a classifier on data. 1.0.1 Logistics Deadline. This project is due at 11:59pm on Friday 11/30. You can earn an early submission bonu...

# NO CODE from datascience import * from prob140 import * %matplotlib inline import t as plt ('fivethirtyeight') import numpy as np from scipy import special Homework 2 - Extended Solutions Instructions In all Stat 88 homework, you will be providing written answers, not code. We encourage you to hand-write your answers. You can LaTeX your answers if you wish, but staff will not be able to assist you with LaTeX related issues. It is your responsibility to ensure that the homework is...

The data science notes cover the essential aspects of the field, including data collection, cleaning, exploratory analysis, and modeling. Key techniques involve statistical methods and machine learning algorithms, with a focus on tools like Python, R, and various libraries. The notes outline the data science process from problem definition to deployment and emphasize the importance of evaluation and communication of results. Applications span across business, healthcare, finance, and social medi...

Welcome to "Exploring Data Science: In-Depth Summaries," a comprehensive guide that delves into the diverse facets of data science. This book aims to provide concise yet thorough summaries of key topics in the field, making it an invaluable resource for both beginners and seasoned practitioners.

Functions and Visualizations Welcome to lab 4! This week, we'll learn about functions and the table method apply from Section 8.1 ( about visualization from Chapter 7 ( First, set up the tests and imports by running the cell below. In [1]: import numpy as np from datascience import * # These lines set up graphing capabilities. import matplotlib %matplotlib inline import t as plt ('fivethirtyeight') import warnings efilter('ignore', FutureWarning) from ipywidgets import interact,...

Een samenvatting van de theorie van data science 1 uit periode 4 van toegepaste informatica aan kdg.