fgardete Goto Github PK

-data-science-cheat-sheet

cheat sheet for statistics/ machine learning/ sql/big data/python/R/excel/deep learning

100-days-of-machine-learning-and-data-science

30-days-of-python

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.

79_pt_jun2022

Repositórios das aulas de Data Analytics no Bootcamp Part Time da Ironhack (Turma SAO 79)

actuarial-computing-excel-access-vba-repo

Actuarial Computing (MAT 253 , ISU)

adc-control-via-arduino-excel-library-for-ads1256-and-kalman-filter

ADC control via Arduino/Excel, library for ADS1256 and Kalman filter

adfdataflowdocs

Azure Data Factory Data Flow Documentation

adv-analytics-in-power-bi-w-r-and-python

Source code for 'Advanced Analytics in Power BI with R and Python' by Ryan Wade

adventureworksdw2020-pbix

The sources (incl data) needed to generate the Adventure Works DW 2020 DAX training model as a PBIX file.

ai-for-trading-notes

My personal notes for Udacity's AI for Trading Nanodegree

aicells

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

aitrader

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

alex-data-bootcamp-deliverables

Deliverables for Ironhack boot camp in data analytics. separated by weeks and days.

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

algorithmic_trading

Algorithmic trading using python to analyze time series of meat markets.

all-classification-templetes-for-ml

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-using-powerbi

Analysis of Budget

analyzing_ab_test_results

A Sample Project Analyzing AB Test Results using Python (Pandas, Numpy, MatPlotLib, & Statsmodel)

applied-deep-learning

Applied Deep Learning Course

applied-machine-learning-2018

applied-statistics-and-machine-learning-using-excel

assignment_excelr

This Repository Contains R-Codes executed on various Datasets in R-Studio using different machine learning algorithms.

autodrone

awesome-power-bi

Awesome Power BI

awesome_data_science_cheat_sheet_collector

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

Azure Data Factory Cookbook_Second Edition, published by Packt

azure-databricks

Azure Databricks - Advent of 2020 Blogposts

azure-datafactory

azure-sql-db-databricks

Azure SQL and Databricks samples and best practices for loading data quickly and efficiently

azuredatapipe_udacity

This repo contains data factory pipelines created for Udacity Project related to Data Integration Pipelines for NYC Payroll Data Analytics