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Name: Sania Zafar
Type: User
Bio: Informatics PhD Student at Mizzou. Areas interest include, Deep Learning, Genetics Algorithms and Bioinformatics.
Location: USA
Name: Sania Zafar
Type: User
Bio: Informatics PhD Student at Mizzou. Areas interest include, Deep Learning, Genetics Algorithms and Bioinformatics.
Location: USA
📢 Ready to learn!✅ you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.🔖
I am a data science and machine learning enthusiast, who wants to polish its skills in data science and so I have decided to do 100 days of data science with atleast one hour of datascience each day!
Public material for CS109
A curated list of awesome computer vision resources
A curated list of deep learning resources for computer vision
Respository performing clustering techniques on turkey student evalution dataset
Learning By Practise
This repository contains different pre-processing techniques used to tune your data according to the machine learning algorithm you use.
Public facing deeplift repo
Django Rest Framework Course
Retrieval and Retrieval-augmented LLMs
This is the main repository Shuai used to publish the first model
Tutorial on creating your own GAN in Tensorflow
This repository contains KNN applied to three datasets, Hepatitis, bank marketting and Pakistan cricket. The performance in terms of accuracy is calculated for each of the kernels used in SVM.
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.
LLM Zoomcamp
Python codes for common Machine Learning Algorithms
MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.
This is a repository for 90 days of LLM
:memo: This repository recorded my NLP journey.
Python Feature Engineering Cookbook, published by Packt
Python Data Science Handbook: full text in Jupyter Notebooks
Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks
Apache Superset is a Data Visualization and Data Exploration Platform
This repository contains SVM applied to three datasets, Hepatitis, bank marketting and Pakistan cricket. The performance in terms of accuracy is calculated for each of the kernels used in SVM.
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
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.