kalebka55 Goto Github PK

10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

18s191

Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:

avr-programming

Code examples for the book "Make: AVR Programming"

awesome-r

A curated list of awesome R frameworks, packages and software.

broom

Convert statistical analysis objects from R into tidy format

captioner

an R package for generating figure/table numbers and captions, especially for Rmd docs

data-baby-names

Distribution of US baby names, 1880-2008

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasciencecoursera

A repository for the Coursera Course "Data Scientists Toolbox"

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

datasharing

The Leek group guide to data sharing

dsx

Hands on tutorials demonstrating the concepts of Prediction engineering, Feature engineering and automation in data science.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exdataanalysis

exdataproject1

exploratory data analysis course project1

getting-and-cleaning-data---coursera

Project repo

getting-and-cleaning-data---project

Coursera - Getting and cleaning data - Project files

ggplot2-tutorial

Teaching materials for the R package ggplot2

hello-world

A beginner repository

httr

httr: a friendly http package for R

infer

Infer.NET is a framework for running Bayesian inference in graphical models

knitr-book

Dynamic Documents with R and knitr

ng_ml

Andrew Ng's machine learning course implemented in Python

practice_assignment

Practice assignment for the R programming class on Coursera

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

re2

RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library.

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

reptyr

Reparent a running program to a new terminal

rpeng-courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

stochasticlda

Python implementation of Stochastic Variational Inference for LDA