yivash

3-musketeers-game_Python

Amazing-Feature-Engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

autism

RAMP on Autism Spectrum Disorder detection

baltimore_vital_signs

Exploring and visualizing Baltimore Neighborhood Indicator Alliance data.

bitpred

Time-series prediction scaffolding library. Sample example is with bitcoin prediction.

Business-Analytics-Using-Statistical-Modeling

BASM - 2017 Spring

Columnar-transposition-cipher

containerized-model-serving-with-fastapi-advanced-jun2022

Model Serving with FastAPI

shaun-mcgirr-dissertation

This GitHub repository stores all the files and instructions necessary to reconstruct the data and analyses for my PhD dissertation in Political Science at the University of Michigan.

wind-power-forecasting-challenge

Data Challenge: Wind Power forecasting for the day-ahead energy market

yivash/wind-power-forecasting-challenge

Data Challenge: Wind Power forecasting for the day-ahead energy market

yivash/3-musketeers-game_Python

yivash/Amazing-Feature-Engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

yivash/bitpred

Time-series prediction scaffolding library. Sample example is with bitcoin prediction.

yivash/Columnar-transposition-cipher

yivash/containerized-model-serving-with-fastapi-advanced-jun2022

Model Serving with FastAPI

yivash/faker

Faker is a Python package that generates fake data for you.

yivash/feature_engine

Feature engineering package with sklearn like functionality

yivash/glmm_zip

Zero-inflated Poisson GLMM

yivash/hate_crimes

yivash/insurance_demo

yivash/Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash

Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt

yivash/intrusion_detection

yivash/machine-learning-deployment

Launch machine learning models into production using flask, docker etc.

yivash/Machine-Learning-Engineering-with-MLflow

Machine Learning Engineering with MLflow, published by Packt

yivash/Machine-Learning-Web-Apps

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

yivash/ml-app-salaryprediction

Salary Prediction Web App With Streamlit

yivash/ml_feature_store

Hopsworks_feature_store

yivash/mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

yivash/mlplatform-workshop

🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more

yivash/mvt

MVT (Mobile Verification Toolkit) helps conducting forensics of mobile devices in order to find signs of a potential compromise.

yivash/mystic-bit

Learning whilst drilling

yivash/pydantic

Data parsing and validation using Python type hints

yivash/pyladies-chapter-resources

A repository for PyLadies chapter resources including presentation materials and education plans for talks, tutorials, and other resources used for running meetups.

yivash/retriever

Quickly download, clean up, and install public datasets into a database management system

yivash/scikit-learn

scikit-learn: machine learning in Python

yivash/streamlit-sales-dashboard

yivash/tfl_bike_project

Periodically gathering line status information from the TFL Unified API.

yivash/timeserio

Better `keras` models for time series and beyond

yivash/WAME