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100-days-of-machine-learning

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

av

Analytics Vidhya Hackathons and Others

av_hackathon

Analytics Vidhya - ML Hackathons

awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

awesome-ai-usecases

A list of awesome and proven Artificial Intelligence use cases and applications

databases

:open_file_folder: Databases is a collection of information that is organized so that it can easily be accessed, managed, and updated. In one view, databases can be classified according to types of content: bibliographic, full-text, numeric, and images. DEFINITION database Posted by: Margaret Rouse WhatIs.com Contributor(s): Allan Leake Sponsored News Using Automation to Solve Data Management Challenges –Veritas Avoid the Pain of Cloud Silos With Unified Management and Visibility –Splunk See More Vendor Resources Guide to Consolidating SQL Server 2000 and SQL Server 2005 Databases to SQL ... –Dell and Microsoft SQL Zero-Time Upgrades to Oracle Database 11g Using Oracle GoldenGate –Oracle Corporation A database is a collection of information that is organized so that it can easily be accessed, managed, and updated. In one view, databases can be classified according to types of content: bibliographic, full-text, numeric, and images. Download this free guide Download Our Exclusive Big Data Analytics Guide An unbiased look at real-life analytics success stories, including a Time Warner Cable case study, and tips on how to evaluate big data tools. This guide will benefit BI and analytics pros, data scientists, business execs and project managers. Start Download In computing, databases are sometimes classified according to their organizational approach. The most prevalent approach is the relational database, a tabular database in which data is defined so that it can be reorganized and accessed in a number of different ways. A distributed database is one that can be dispersed or replicated among different points in a network. An object-oriented programming database is one that is congruent with the data defined in object classes and subclasses. Computer databases typically contain aggregations of data records or files, such as sales transactions, product catalogs and inventories, and customer profiles. Typically, a database manager provides users the capabilities of controlling read/write access, specifying report generation, and analyzing usage. Databases and database managers are prevalent in large mainframe systems, but are also present in smaller distributed workstation and mid-range systems such as the AS/400 and on personal computers. SQL (Structured Query Language) is a standard language for making interactive queries from and updating a database such as IBM's DB2, Microsoft's SQL Server, and database products from Oracle, Sybase, and Computer Associates.

free-certifications

A curated list of free courses & certifications.

go

The Open Source Data Science Masters

hackathonistas_telegramgroup

A one stop destination to get updated with the latest hackthons all around the world in a variety of domains like Artificial Intelligence , Machine Learning , Web Development , Android Development etc. If you are looking to team up for any hackathon , there is something for your help too always .

kaggle-past-solutions

A searchable compilation of Kaggle past solutions

learnbayes

Functions to Learn Bayesian Inference

learndatascience

The ultimate, step-by-step guide to learn data science from scratch and prepare for your future job.

oreilly-intro-to-predictive-clv

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

question-answerpairgenerator-app

reco-papers

Classic papers and resources on recommendation

stock-recommendation

Welcome to our Big Data & Analytics project - a project about stock recommendations using big data. Stocks are traded every day, and traders use information about stocks, such as fundamental data to make decisions on whether to buy, sell or hold a stock. This information is available in large quantities, so it is impossible for the individual trader to process all of this information and include it in stock buying decisions. In order to solve this problem we built a Machine Learning Algorithm with Python to predict as to whether it is worth buying, selling or holding a share today to make a profit in a certain amout of time.

supervised_ml

Contains all of my project source codes, files and documentation done in Supervised Machine Learning Algorithm

supervisedlearning

Comparison of all the famous supervised learning algorithms on the bank churn dataset with python and scikit learn

time-series-forest

time series, arima, LSTM, etc

transformers-tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

yesbankcampuswest