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openvino_notebooks

📚 Jupyter notebook tutorials for OpenVINO™

practical-ml

Learn by experimenting on state-of-the-art machine learning models and algorithms with Jupyter Notebooks.

python-machine-learning

Introduction to scikit-learn and TPOT

python-machine-learning-by-example

Python Machine Learning By Example, published by Packt

quote-scraping

I have created a Scraper using Scrapy and scraped http://quotes.toscrape.com/.Important information like author name,tags were scraped and exported to MongoDB and MySql.

rdatasets

A collection of datasets originally distributed in R packages

real-time-ml-project

A curated list of applied machine learning and data science notebooks and libraries across different industries.

ruby-course

An introduction to Ruby

scrapypython

stockpricepredictor

An S&P500 Stock Index Movement Predictor built with Machine Learning models

teanetworkscase

time-series

The purpose of this repo is to implement & analyze various deep learning and hybrid approaches to time-series classification and regression problems, as well as compare performance to more traditional statistical methods.

time-series-analysis-using-python

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.

timeseriesforecasting

In this repository we will forecast time, through ARIMA and SARIMAX initially and will upload some complex projects as well on VAR (Vector Auto Regression) VECM (Vector Error Correction Models) ARDL (Auto Regressive Distributed Lag Models) Recurrent Neural Networks (FFTT or RTNN)

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

uber-rider-churn-analysis

Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.

ultralytics

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite