venkatesh-eranti Goto Github PK
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Type: User
Predicting Heart Disease using Machine Learning
In this case study I will be doing Exploratory Data Analytics with the help of a case study on Bank marketing campaign.
Analyze the data of batting figures of batsmen in ODI matches by Choosing strike rate and average as the two factors on which clustering the data
The wholesale distributor is considering changing its delivery service from currently 5 days a week to 3 days a week. However, the distributor will only make this change in delivery service for customers that react positively. How can the wholesale distributor use the customer segments to determine which customers, if any, would reach positively to the change in delivery service?
For an UK based non-store online retail for which we need to cluster it's customers in to different groups so that we can run targeted campaign for each group
covid_tracker from covid19india.org
K-Means and Hierarchical Clustering both fail in creating clusters of arbitrary shapes. They are not able to form clusters based on varying densities. That’s why we need DBSCAN clustering.
Boston Housing Price prediction and comparison of evaluation metrics by using Decision tree regressor algorithm and tuning parameters by using GridSearchCV (with different parameters like Criterion, Max depth, min samples split and min samples leaf ...)
A real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc
A digital media company (similar to Voot, Hotstar, Netflix, etc.) had launched a show. Initially, the show got a good response, but then witnessed a decline in viewership. The company wants to figure out what went wrong
The MNIST database of handwritten digits, available from (http://yann.lecun.com/exdb/mnist/), has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.<br> It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting.
myntra_sales_case-study
building a ML algorithm to predict house prices for Boston dataset by using ML map from sklearn
building a simple linear regression model in Python using the advertising dataset by using both Sklearn and Statsmodels and comapare coefficient and intercepts for both models
In February 2020 nearly 65,000 developers told stackoverflow that how they learn and level up, which tools they’re using, and what they want.
Boston Housing Price prediction and comparison of evaluation metrics with Support Vector Regression and GridSearchCV (with different kernels and parameters like C and epsilon) and Multiple Linear Regression
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.