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Name: Jeevan Kande
Type: User
Company: MindTree
Bio: Perceptive and logical Data Analyst communicates well with both technical professionals and end-users to identify and translate business requirements. Offers
Name: Jeevan Kande
Type: User
Company: MindTree
Bio: Perceptive and logical Data Analyst communicates well with both technical professionals and end-users to identify and translate business requirements. Offers
Advanced Deep Learning with Keras, published by Packt
Market Basket Analysis is one of the key techniques used by large retailers to uncover associations between items. It works by looking for combinations of items that occur together frequently in transactions. To put it another way, it allows retailers to identify relationships between the items that people buy. Association Rules are widely used to analyze retail basket or transaction data and are intended to identify strong rules discovered in transaction data using measures of interestingness, based on the concept of strong rules.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Here we will demonstrate and will try to learn different- different clustering and classification problems
code solution from competitive websites
Course Files for Complete Python 3 Bootcamp Course on Udemy
Data Preprocessing Techniques
Collection of useful data science topics along with code and articles
Answers to 120 commonly asked data science interview questions.
Datasets
Engineering MLOps, published by Packt
Ensemble methods is a machine learning technique that combines several base models in order to produce one optimal predictive model. To better understand this definition lets take a step back into ultimate goal of machine learning and model building. This is going to make more sense as I dive into specific examples and why Ensemble methods are used.
TensorFlow examples
Algorithms implemented in the Julia programming language. We're collaborating with the Humans of Julia community!
Here we will apply natural language process using variety packages like keras, textblob, genism etc
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Interesting visuals and reports
Repository for Programming Assignment 2 for R Programming on Coursera
Unpivot Spark Data Frame, function alike pandas melt, establish Hierarchical relation using numpy and pandas netwotkx
All Algorithms implemented in Python
In this notebook, I will attempt at implementing a few recommendation algorithms (content based, popularity based and collaborative filtering) and try to build an ensemble of these models to come up with our final recommendation system.
Regression is a supervised learning algorithm used when target / dependent variable continues real number. It establishes relationship between dependent variable y and one or more independent variable x using best fit line. It work on the principle of ordinary least square (OLS) / Mean square errror (MSE) . In statistics ols is method to estimated unkown parameter of linear regression function, it's goal is to minimize sum of square difference between observed dependent variable in the given data set and those predicted by linear regression function.
Time series forecasting occurs when you make scientific predictions based on historical time stamped data. It involves building models through historical analysis and using them to make observations and drive future strategic decision-making. An important distinction in forecasting is that at the time of the work, the future outcome is completely unavailable and can only be estimated through careful analysis and evidence-based priors.
To build a classification methodology to determine whether a person defaults the credit card payment for the next month.
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.