frankt86

frankt86's Stars

• Sid-darthvader/DoWhy-The-Causal-Story-Behind-Hotel-Booking-Cancellations

  Language:Jupyter Notebook93

• dfuller22/UFC_Fight_Predictor

  Creating a classifier to predict outcome of UFC fights

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• dimajix/flowman

  Flowman is an ETL framework powered by Apache Spark. With its declarative approach, Flowman simplifies the development of complex data pipelines.

  Language:Scala9319

• Abhayparashar31/MLP_Diabetes-prediction

  In this i've tried to predict the probability of a person having diabetes based on some data fields...

  Language:Jupyter Notebook727

• SiphuLangeni/tortus

  A PyPI package for easy text annotation in a Jupyter Notebook.

  Language:Python289

• chandravenky/Optimization

  Refer to book Spreadsheet Modeling and Decision Analysis (5th ed) - Ragsdale, C. T.

  1

• tqdm/tqdm

  :zap: A Fast, Extensible Progress Bar for Python and CLI

  Language:Python29k1.4k

• manujosephv/forecast_metrics

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• dedhiaparth98/face-recognition

  Face Recognition Model trained with Siamese Network and Triplet Loss function in TensorFlow

  Language:Jupyter Notebook2819

• srees1988/sarima-in-py

  To predict any timestamped data points using ARIMA Models in Python

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• varundse/medium

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• FernandoLpz/Tracking-ML-model-MLflow

  This repository shows the use of MLflow to track parameters, metrics and artifacts of a pipeline on a machine learning model.

  Language:Python58

• PatrickKalkman/Kaggle

  Several Jupiter Notebooks for Kaggle competitions

  Language:Jupyter Notebook21

• rootvisionai/filter_distinguisher

  A CNN Model that creates filters bu unsupervised learning. The model tries to distinguish the output of each convolution operation and tries to create filters that generate most various output layers.

  Language:Python2

• goncaloggomes/cost-prediction

  A Data Science Machine Learning approach to predict the best candidates to be targeted for a marketing campaign

  Language:Jupyter Notebook21

• EnkrateiaLucca/Audio-Productivity-with-Python

  Repository for my medium article: "Audio Productivity with Python", where I discuss using the pyttsx3 library to read my google calendar tasks.

  Language:Python1

• andyreagan/vectorizing-matters

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• gennsev/Python_MultiProc_Examples

  Examples of Multiprocessing and Multithreading in Python.

  Language:Jupyter Notebook86

• lewi0332/google_dashboard

  Plotly Dash app connected to Google Sheets API

  Language:Python21

• lazargugleta/Python-Gui

  Language:Python3

• Aseem139/pandas_cheatsheet

  A downloadable pdf containing summary of frequently used pandas operations.

  10

• ellmanalex/instacart_basket_analysis

  Language:Jupyter Notebook103

• pierpaolo28/Data-Visualization

  Collection of interactive Jupiter Notebook widgets and graphs.

  Language:Jupyter Notebook158113

• nishakanthiA/Airflow-Docker

  Orchestration of data science models in Apache Airflow, scale-up with Celery Executor and deploying in multiple Docker containers

  Language:Python3124

• Kopfgeldjaeger/Medium_blogs_code

  since i write blogs on medium regularly, it's practical to make a repository once for all blogs and codes than to make a new every time

  Language:Jupyter Notebook32

• Matheuskempa/My_Udacity_Capstone

  Repositório para compartilhamento de informação do projeto LAMFOOT

  Language:Jupyter Notebook2917

• V-Sher/pytorch_ANN_example

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• manitadayon/tsBNgen

  Language:Python6010

• YiLi225/Pandas_Tricks

  Top 10 less-known yet awesome tricks in Python Pandas

  Language:Python52

• syamkakarla98/Hyperspectral_Image_Analysis_Simplified

  The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

  Language:Jupyter Notebook22948