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Name: Nishant Sharma
Type: User
Name: Nishant Sharma
Type: User
A topic-centric list of HQ open datasets. PR ☛☛☛
2023 AWS developer associate exam
Chapter 2: Machine Learning Basics
Chapter 3: Text and Speech Basics
Applied Data Science for Credit Risk
Cheat Sheets
Resoruce to help you to prepare for your comming data science interviews
Explored ensemble learning techniques including bagging, boosting, and stacking. Then make classification predictions using basic Random Forest, k-Nearest Neighbors, SVC, and Logistic Regression models.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Python implementation of Deep Learning book
A few interesting data science problems along with my solutions in R and Python
Beginner project scraping a private facebook group with python
A deep learning and image processing project used to predict the emotions of a person in image.
Google IT Automation with Python Professional Certificate - Practice files
Machine Learning Experiments and Work
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Supporting code for short YouTube series Neural Networks Demystified.
📚 A practical approach to learning and using machine learning.
All Algorithms implemented in Python
Advanced Python Mastery (course by @dabeaz)
Python training for business analysts and traders
Code developed following Dr. Jurafsky's Book
API to detect Stress through real-time facial recognition using Deep learning and CNN
The Super Learner is a heterogeneous stacked ensemble classifier. This is a classification model that uses a set of base classifiers of different types, the outputs of which are then combined in another classifier at the stacked layer. The Super Learner was described in (van der Laan et al, 2007) but the stacked ensemble idea has been around for longer than that - for example (Wolpert, 1992).
Source code for Twitter's Recommendation Algorithm
Code Repository for The Kaggle Book, Published by Packt Publishing
source code
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.