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cheat sheet for statistics/ machine learning/ sql/big data/python/R/excel/deep learning
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
Repositórios das aulas de Data Analytics no Bootcamp Part Time da Ironhack (Turma SAO 79)
Actuarial Computing (MAT 253 , ISU)
ADC control via Arduino/Excel, library for ADS1256 and Kalman filter
Azure Data Factory Data Flow Documentation
Source code for 'Advanced Analytics in Power BI with R and Python' by Ryan Wade
The sources (incl data) needed to generate the Adventure Works DW 2020 DAX training model as a PBIX file.
My personal notes for Udacity's AI for Trading Nanodegree
AIcells is an Excel add-in that lets you work with Python functions in Excel. Statistics, Bayesian theory, Machine Learning and Optimization in Excel cells. Many useful analytical methods and Python functions. aicells is a open source licensed Python library that makes it easy to make analysis in Excel and even continue in Python. It works with Mic
A Markov Decision Process (MDP) model suitable for the financial trading task and solve it with the state-of-the-art deep recurrent Q- network algorithm
Deliverables for Ironhack boot camp in data analytics. separated by weeks and days.
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Algorithmic trading using python to analyze time series of meat markets.
Classification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classification algorithms, support vector machines(SVM), Naive Bayes, Decision Tree and Random Forest Classifier in this tutorial. Objectives Let us look at som
Analysis of Budget
A Sample Project Analyzing AB Test Results using Python (Pandas, Numpy, MatPlotLib, & Statsmodel)
Applied Deep Learning Course
This Repository Contains R-Codes executed on various Datasets in R-Studio using different machine learning algorithms.
Awesome Power BI
Help refresh code in minute.Collecting at one place so everyone can access easily and self-taugh.In this repo, collected all cheat sheet from the web which is contain basic learning for Excel, Python, R, AI, Deep Learning, Machine Learning, Probability and Statistics
Azure Data Factory Cookbook_Second Edition, published by Packt
Azure Databricks - Advent of 2020 Blogposts
Azure SQL and Databricks samples and best practices for loading data quickly and efficiently
This repo contains data factory pipelines created for Udacity Project related to Data Integration Pipelines for NYC Payroll Data Analytics
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.