data-science-series

For all those who're struggling to find a good hands-on resource (with case studies) to master their Data Science skills, Here's all what you need!

data-science-workshop-2019

data-visualization

Data Visualization with Python

database-to-csv

datascience

Portfolio of POCs comprising of various concepts in Python and Machine Learning

db-app

REST API that serves public data from Bay Area Rapid Transit

dbt-starter-project

Cloned by the `dbt init` task

deep-learning-contrastive-center-loss-transfer-learning-food-classification-

This repository contains the ipynb for a project on deep learning visual classification of food categories

deep-summarization

Abstractive Text Summarization using PyTorch

deep_learning

deep_learning_coronavirus_cure

Using deep learning to generate novel molecules as candidates for binding with coronavirus protease

deep_learning_to_predict_houseload

Studied the trend of overall load and divided it into three classes, low, high and average efficient labels. Then trained a deep learning model using KerasClassifier and three-layered baseline model with relu and softmax as activation functions to predict the label in Python Jupiter book Built explanatory deep learning model to predict the house heating and cooling load using tensor-flow and keras with 93% accuracy

deeplearning-models

A collection of various deep learning architectures, models, and tips

deploy-flex-actions

Deploying flexdashboard on Github Pages with Docker and Github Actions

digit-recognizer

Compétition Kaggle sur Digit-Recognizer. Le but est de classer des images en leur fournissant le bon label.

disney-data-science-tasks

Creation of a Disney Movie Dataset & Analysis using Python

dq_scan

A repository for scaner experiment

dsbook

Repository for data science book

dynamic

EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

eegclassification

Development of a model to classify between imagined speech of 'open' and 'close' from EEG recordings, and then control a solenoid valve accordingly

egu_2021_lgeo_workshops

Workshop materials for EGU General Assembly 2021 sessions Spatio-temporal trend analysis of spatial climate data (temperature and rainfall) using Python Satellite image processing using Python programming

electricity-price-forecasting-using-hybrid-model

eloquenttinyml-esp32-example

Implementation of the library EloquentTinyML in one ESP32

end-to-end-data-science-project-time-series-analysis-for-temperature-forecasting-using-arima-model

Successfully collected, cleaned and analysed the time series data and used ARIMA model to forecast average temperature using and visualized the Temperature pattern using Python Numpy, Pandas, Matplotlib and Statsmodels

enhancement_of_modis_nidvi

Enhancement of MODIS NIDVI to 10m resolution using U-Net

enne

Extrapolative Neural Network Ensemble surrogate models for Bayesian Optimization

ensemble-learning-blog

Ensemble Learning — Bagging, Boosting, Stacking and Cascading Classifiers in Machine Learning using SKLEARN and MLEXTEND libraries.

ethereum_future

This is the Code for "Ethereum Future Prices" by Siraj Raval on Youtube

experiments_with_python

experiments with python

fabricatr

fabricatr: Imagine Your Data Before You Collect It