devanshsrivastava Goto Github PK
Name: Devansh Srivastava
Type: User
Bio: -Risk Management -Data Analytics -Machine Learning
Twitter: devanshsrivast7
Location: SRM IST,KTR,CHENNAI
Name: Devansh Srivastava
Type: User
Bio: -Risk Management -Data Analytics -Machine Learning
Twitter: devanshsrivast7
Location: SRM IST,KTR,CHENNAI
So this is a guide to best real-world practices and provides practical tips about how to apply machine-learning capabilities to real-world problems.
Used Linear regression and random forest to predict the average user rating for any game.There are around 80,000 games in this dataset divided into training and test datasets.
A great javascript utility project for copying text
Compilation of R and Python programming codes
Covid-19 daily news and tracker
Using Isolation Forest and Local outlier model on dataset used from Kaggle on credit cards
Classification project based on K-mers algorithms that helps in genome sequencing
js based filter list
Bootstrap landing page
Feature engineering is an important area in the field of machine learning and data analysis. It helps in data cleaning process where data scientists and analysts spend most of their time on
Learn about Pandas Library with code snippets using Jupyter Notebook
We will use Linear Regression to predict price for house of certain area
We will be implementing Lux which is a Python library that makes data science easier by automating aspects of the data exploration process.
We will predict the house prices using multiple variables this time
One-Hot Encoding This is where the integer encoded variable is removed and a new binary variable is added for each unique integer value. We will see both encoding techniques based on type of data used
Repository to store sample python programs for python learning
Notes and Code snippets relate to PyTorch
EDIT,UPDATE,DELETE,CREATE YOUR PRODUCTS MANAGER LIST
This is a LinkedIn Learning repo for Hands-On React.
React based app using open weather api
A reddit like application using spring boot and spring security. Frontend will be made using Angular 9
panel purely based on javascript
The train-test split procedure is used to estimate the performance of machine learning algorithms when they are used to make predictions on data not used to train the model.
Notes from Coursera's Tableau Specialization
We will predict the retention rate of employees using TensorFlow and Keras
"The main advantage of blockchain technology is supposed to be that it's more secure, but new technologies are generally hard for people to trust, and this paradox can't really be avoided." ― Vitalik Buterin
JS based todo list
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.