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Type: User
Bio: D. Bharath Reddy
Type: User
Bio: D. Bharath Reddy
Python chatbot 💬
It is a Python project that that generates automated responses to a user’s input. It uses a selection of machine learning algorithms to produce different types of responses.
Data Science Cheatsheets
:cloud: AWS CheatSheets In A4
Create customer segments by understanding their purchase behavior for an online retail business.Feature Engineering is performed to create significant variables for the clusters.
Text Classification by Convolutional Neural Network in Keras
Deep learning and AI projects
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Creating simple pipelines using sklearn
Example of machine learning model deployed as API with Flask and Docker
Example of machine learning model deployed as API with FastAPI and Docker
Predicting Arbitrage in the Crypto Market with ML (Using AWS)
Sebuah analyzer untuk menentukan serbuah executable adalah malware(Windows based malware) atau bukan berdasarkan API calls sequence yang didapat dari report Cuckoo Sandbox, berdasarkan SIMILARITY dengan malware API sequence dataset.
Machine Learning Case study on customer segmentation and prediction of groups.
Codes to make the days easier.
Splunk modular input to collect mqtt messages
💚 Repo for work related to DS 1.1: Data Analysis. 'CLASSWORK' contains notes and in-class work. 'PROJECTS' contains longer assignments.
Repository for the following medium article : Data Engineering - Basics of Apache Airflow - Build Your First Pipeline
Notes from my data science escapades in Python.
Data science interview questions with answers. Not ideally (yet)
Data science interview questions and answers
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Exploring Data Science
A collection of Data Science projects in Jupyter Notebooks mainly using Python
Resources for Conclusion SIG Data Analytics - Inleiding Data Wrangling (met Python & Jupyter Notebooks)
Creates ETL pipelines for text data. Performs machine learning on text data to categorize text messages received in disasters. Deploys model to a webapp.
Machine Learning and Deep Learning Projects
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.