smasis001/dsgo-virtual-2021 smasis001/dsgo-virtual-2021

  • Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created over 3 years ago
  • Updated over 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
smasis001/dsgo-virtual-2021
github

smasis001

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

DataScienceGo Virtual April 2021 Workshop

More Repositories

1

ddd-estimator-opencv

Driver Alertness Detection using Ensemble of Regression Trees and Implemented in OpenCV
Jupyter Notebook
24
star
2

dsdojo-2022

Workshop for Data Science Dojo September 2022
Jupyter Notebook
11
star
3

odsc-west-2022

Workshop for Open Data Science Conference East 2022
Jupyter Notebook
9
star
4

av-2022

Workshop for Analytics Vidhya July 2022
Jupyter Notebook
6
star
5

ml-prague-2021

Presentation for Machine Learning Prague 2021
Jupyter Notebook
5
star
6

pydata-2020

Workshop for PyData 2020
Jupyter Notebook
5
star
7

odsc-west-2020

Workshop for Open Data Science Conference West 2020
Jupyter Notebook
4
star
8

datacamp2022

Workshop for DataCamp July 2022
Jupyter Notebook
4
star
9

Facial-Recognition-App

Facial Recognition App with Python Backend and JS Frontend
Python
3
star
10

odsc-east-2022

Workshop for Open Data Science Conference East 2022
Jupyter Notebook
3
star
11

smart-grid-peak-tariff-optimization

Smart Grid Peak Tariff Optimization with Reinforcement Learning
Jupyter Notebook
2
star
12

dphi-2021

Jupyter Notebook
2
star
13

Music-GenAI-App

Music Generation with AI App
Python
1
star
14

mlconf-2023

Workshop for ML Conference Berlin 2022
Jupyter Notebook
1
star
15

ml-summit-2021

Workshop for ML Summit April 2021
Jupyter Notebook
1
star
16

aisc-2021

Presentation for Aggregate Intellect, March 2021
Jupyter Notebook
1
star
17

datatalks-2022

Jupyter Notebook
1
star
18

Machine-Learning-Datasets

A simple library for loading machine learning datasets and performing some common machine learning interpretation functions. Built for the book "Interpretable Machine Learning with Python".
Python
1
star