ganesh10-india Goto Github PK
Type: User
Bio: Data Science
Location: Mumbai, Maharashtra 400102
Type: User
Bio: Data Science
Location: Mumbai, Maharashtra 400102
Decision tree is a Machine Learning Algorithm to Predict the Emplyee will Stay or Not !!
Effects of Socio-economic Status of Obesity Prediction
The objective of this work is to predict the annual base salary of SanFrancisco (SF) city employee.
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
Quick example scripts to demonstrate different features
CNN Sample
:books: Freely available programming books
Feature Scaling is a technique to standardize the independent features present in the data in a fixed range. ... If feature scaling is not done, then a machine learning algorithm tends to weigh greater values, higher and consider smaller values as the lower values, regardless of the unit of the values.
Collection of advice and resources for getting a job as data scientist
GridSearchCV perfrom on Support Vector Machine
Group Emotion Recognition using deep neural networks and Bayesian classifiers.
Predicting Impact on Readmission Rates for Patients Hospitalized with Diabetes
Uncover the factors that lead to employee attrition using IBM Employee Data
Uncover the factors that lead to employee attrition using IBM Employee Data
Automatically generates captions for an image using Image processing and NLP. Model was trained on Flickr30K dataset.
Automatically generates captions for an image using Image processing and NLP. Model was trained on Flickr30K dataset.
Python module to perform under sampling and over sampling with various techniques.
🍂Scrapes captions from instagram accounts and performs sentiment analysis on them.
Web Scraping for Indeed.com and Predicting Salaries.
Kmeans Algorithm Kmeans algorithm is an iterative algorithm that tries to partition the dataset into Kpre-defined distinct non-overlapping subgroups (clusters) where each data point belongs to only one group. It tries to make the intra-cluster data points as similar as possible while also keeping the clusters as different (far) as possible. It assigns data points to a cluster such that the sum of the squared distance between the data points and the cluster’s centroid (arithmetic mean of all the data points that belong to that cluster) is at the minimum. The less variation we have within clusters, the more homogeneous (similar) the data points are within the same cluster. The way kmeans algorithm works is as follows: Specify number of clusters K. Initialize centroids by first shuffling the dataset and then randomly selecting K data points for the centroids without replacement. Keep iterating until there is no change to the centroids. i.e assignment of data points to clusters isn’t changing. Compute the sum of the squared distance between data points and all centroids. Assign each data point to the closest cluster (centroid). Compute the centroids for the clusters by taking the average of the all data points that belong to each cluster.
A collection of tensorflow helper functions I regularly use
Lockdown Sentimental Analysis (Complete NLP Text Per-processing):
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.