reddyreddys255's repositories

awesome-machine-learning-operations

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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ml-workflow-automation

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

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10-Simple-hacks-to-speed-up-your-Data-Analysis-in-Python

Some useful Tips and Tricks to speed up the data analysis process in Python.

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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

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aws-sagemaker-build

Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S3 and GitHub events

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Building-a-Simple-Chatbot-in-Python-using-NLTK

Building a Simple Chatbot from Scratch in Python (using NLTK)

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FinML

Financial Machine Learning

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hiking

Trail Secrets: An Intelligent Recommendation Engine for Finding Better Hikes

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python_tips

A collection of python tips in my everyday coding

amazon-sagemaker-architecting-for-ml

Materials for a 3-day instructor led course on applying machine learning

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amazon-sagemaker-workshop

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more

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auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

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Automated-Resume-Screening-System

Automated Resume Screening System using Machine Learning (With Dataset)

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Data-Analysis-and-Machine-Learning-Projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

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Data-Science-Competitions

Goal of this repo is to provide solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

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deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

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explainable_artificial_intelligence

Slides, code and resources for model interpretation methods in machine learning and deep learning

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Fraud-Analysis

Insurance fraud claims analysis project

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Hyatt-Prescriptive-Analytics

This is a data science project done in R to analyze the Hyatt Hotel Dataset in different countries. The main aim of the project is to give recommendation to the Hotel on different measures to increase the Net Promoter Score.

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IPython-Dashboard

A stand alone, light-weight web server for building, sharing graphs created in ipython. Build for data science, data analysis guys. Aiming at building an interactive visualization, collaborated dashboard, and real-time streaming graph.

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Kaggle-Competitions

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

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Kickstarter-Campaign-Success-Prediction

A machine learning project trying to predict whether or not a Kickstarter campaign succeeds. Final report in PDF as well. Includes original dataset in csv and Jupyter Notebook

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Optimus

:truck: Agile Data Science Workflows made easy with Pyspark

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pipelines

Machine Learning Pipelines for Kubeflow

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pyschedule

pyschedule - resource scheduling in python

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Python-Recommendation-Engine

Implicit Collaborative Filtering based Recommendation Engine Implementation using LightFM along with REST API using django-restframework

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quickviz

Visualize a pandas dataframe in a few clicks

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real-time-recommender

Real time CF recommender system

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stats-with-python

Learning statistics with Python

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