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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.

ads-analysis

Recommendation system: Identify top 5 ad campaigns out of 40 in the dataset. Provide recommendations to improve the performance

amazon-sagemaker-architecting-for-ml

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

amazon-sagemaker-examples

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

amazon-sagemaker-workshop

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

auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

automated-resume-screening-system

Automated Resume Screening System using Machine Learning (With Dataset)

awesome-machine-learning-operations

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

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

building-a-simple-chatbot-in-python-using-nltk

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

computationalhealthcare

A platform for analysis & development of machine learning models using large de-identified healthcare datasets.

cv_end_to_end

Create a mobile + web app from existing DL alg + using Cognitive Services API

data-analysis-and-machine-learning-projects

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

data-health-costs

Data Science Project with athenahealth

data-science-competitions

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

data_science_interview_technical_questions

My collection of data science interview technical questions

datascience

deploying-machine-learning-models

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

dsc_cg

explainable_artificial_intelligence

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

finml

Financial Machine Learning

flask-salary-predictor

This is project predicts the salary of the employ based on the experience.

fraud-analysis

Insurance fraud claims analysis project

gradient-descent-algorithm-for-logistic-regression

Implement a gradient descent algorithm for logistic regression

healthcare-kaggle

Analysis of health care data from Kaggle. Click on the link to render the report:

hiking

Trail Secrets: An Intelligent Recommendation Engine for Finding Better Hikes

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.

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.

kafka-bokeh-dashboard

Bokeh dashboard that plots incoming Kafka events

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.