GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → soodoku → data-science

soodoku / data-science

Licence: other
Lecture Slides for Introduction to Data Science

Programming Languages

TeX
3793 projects

Labels

data-sciencestatistical-learning

Projects that are alternatives of or similar to data-science

Statistical Learning Method by-Dr.-Li-Hang
基于Julia 1.0写李航博士《统计学习方法》
Stars: ✭ 30 (+36.36%)
Mutual labels:  statistical-learning
Awesome Artificial Intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Stars: ✭ 6,516 (+29518.18%)
Mutual labels:  statistical-learning
SparseRegression.jl
Statistical Models with Regularization in Pure Julia
Stars: ✭ 37 (+68.18%)
Mutual labels:  statistical-learning
r4sl
📈 Machine Learning from the perspective of a Statistician using R
Stars: ✭ 63 (+186.36%)
Mutual labels:  statistical-learning
ISLR-Python
Notes and implementations in Python for ISLR.
Stars: ✭ 14 (-36.36%)
Mutual labels:  statistical-learning
Statistical Learning Method
《统计学习方法》笔记-基于Python算法实现
Stars: ✭ 1,643 (+7368.18%)
Mutual labels:  statistical-learning
ANTsR
Advanced Normalization Tools in R
Stars: ✭ 101 (+359.09%)
Mutual labels:  statistical-learning
ISLR.jl
JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
Stars: ✭ 135 (+513.64%)
Mutual labels:  statistical-learning
Islr Python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Stars: ✭ 3,344 (+15100%)
Mutual labels:  statistical-learning
M2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Stars: ✭ 1,962 (+8818.18%)
Mutual labels:  statistical-learning
sldm4-h2o
Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
Stars: ✭ 26 (+18.18%)
Mutual labels:  statistical-learning
Jupyter-Notebooks-Statistic-Walk-Throughs-Using-R
Jupyter notebooks with examples of statistical methods and analyses using R.
Stars: ✭ 21 (-4.55%)
Mutual labels:  statistical-learning
Esl Cn
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Stars: ✭ 1,855 (+8331.82%)
Mutual labels:  statistical-learning
A- Guide -to Data Sciecne from mathematics
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
Stars: ✭ 25 (+13.64%)
Mutual labels:  statistical-learning
DROP
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
Stars: ✭ 87 (+295.45%)
Mutual labels:  statistical-learning
JCLAL
JCLAL is a general purpose framework developed in Java for Active Learning.
Stars: ✭ 22 (+0%)
Mutual labels:  statistical-learning
An Introduction To Statistical Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Stars: ✭ 1,843 (+8277.27%)
Mutual labels:  statistical-learning
GDLibrary
Matlab library for gradient descent algorithms: Version 1.0.1
Stars: ✭ 50 (+127.27%)
Mutual labels:  statistical-learning
Statistical-Learning-using-R
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
Stars: ✭ 27 (+22.73%)
Mutual labels:  statistical-learning
Awesome Decision Tree Papers
A collection of research papers on decision, classification and regression trees with implementations.
Stars: ✭ 1,908 (+8572.73%)
Mutual labels:  statistical-learning
View All Similar Projects ➔

Data Science: Some Basics

  1. Introduction to Data Science (presentation, tex)

    • What can Big do for you?
    • What is Big Data?
    • Implications for Statistics and Computation
    • What is Data Science?
    • Prerequisites

  2. Get your own (Big) Data (presentation, tex)

  3. Databases and SQL (presentation, tex)

    • What are databases?
    • Relational Model
    • Relational Algebra
    • Basic SQL
    • Views

4a. Introduction to Introduction to Statistical Learning

4b. Introduction to Statistical Learning (presentation, tex) * How to learn from data? * Nearest Neighbors * When you don't have good neighbors * Assessing model fit * Clarification about Big Data

  1. Supervised Methods

  2. Unsupervised Methods

  3. Presenting Analyses

  1. Some Applications

Suggested Books

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
By Trevor Hastie, Robert Tibshirani, Jerome Friedman
ISBN: 0387848576

Python Programming: An Introduction to Computer Science
By John Zelle
ISBN: 1590282418

ggplot2: Elegant Graphics for Data Analysis (Use R!)
By Hadley Wickham
ISBN: 0387981403

License

Released under the Creative Commons License.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].