There are 33 repositories under introduction-to-data-science topic.
Learning numerical computing with notebooks for all ages.
A Neural Network implemented from scratch (using only numpy) in Python.
UMichigan's coursera Intro to DS with Python course
Repository of DataCamp's "Intermediate R" course.
Notes from courses and workshops I've taught or assisted with at UC Davis and UC Berkeley.
Repository of DataCamp's "Introduction to the Tidyverse" course.
The Repository contains the Answers of the "Introductory course on Python for Data Science" by "DataCamp".
STS 98 Lecture Notes
Notes from STA 141A at UC Davis in Fall 2018
Curso de Programación para la carrera de Ciencia de Datos de la Facultad de Matemática y Computación de la Universidad de La Habana.
A comprehensive list of Artificial Intelligence resources for beginners. Topics range from AI societies and open source datasets to prerequisite mathematics.
Joel Grus "Data Science from Scratch"
Ipython notebooks of assignments
Intro to Python for Data Science workshops at Galvanize
This Repository consist of all the PowerBI report, PDF and Excel files of the tasks that were assigned during the CommonWealth Bank Introduction to Data Science Job Sim hosted on Forage
How to start with ML with codes and short notes. Notes referred by Intro to ML with Python and Kaggle.
A repo where I explore ML techniques!
This is a project for CS 210 course where we analyzed Airbnb prices in New York.
Material del curso dictado por la FCEN, UBA, el 1er cuatrimestre del 2020.
This is one of my homework when I'm learning data science.
This is one of my homework when I'm learning data science.
For Gaokao examinees in Zhejiang Province of China. Also suitable for new learners with no prior programming experience.
Materials I am using to prepare for and to be a better TA for Intro to Data Science at CSUMB
Curso de R com Machine Learning da Data Science Academy
introduction to data science in python
A tutorial on using the Git/Github version control system for R programming
Course and capstone projects of EPFL Extension School's Applied Data Science: Machine Learning course https://www.extensionschool.ch/learn/applied-data-science-machine-learning
Algunos markdowns personales, y sus respectivos pdfs, sobre tipos de gráficos en data-science y tips para utilizar ggplot
Introduction to Data Science. Assignment 3.
Solution to the exercises in the book "Introduction to Statistical Learning"
This repository is an introductory minicourse to python
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!