Machine Learning Crash Course With Tensorflow APIs using Google Collab
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Updated
Aug 10, 2018 - Jupyter Notebook
Machine Learning Crash Course With Tensorflow APIs using Google Collab
ResNet benchmark by Keras(TensorFlow), Keras(MXNet), Chainer, PyTorch using Google Colab
A purpose to solve and get good results in Kaggle Titanic competition - https://www.kaggle.com/c/titanic
Stores the basic Machine Learning models that I've worked on and learned from using Kaggle, Google Colab and Jupyter Notebook
Train model on given dataset(stock price) and predict stock price for next days.
Final Project for IDS - UE18CS203. Analysis of the Meteorite landing dataset, available at https://www.kaggle.com/nasa/meteorite-landings
Estimating Time-Series Changes in Social Sensitivity for COVID-19 @ Twitter in Japan
This system can be used in any ordering place, as it uses Queue data structure which follows FIFO sequence with enquing and dequing as main functions.
Estimating time-series changes in social sentiment @twitter in U.S. metropolises during the COVID-19 pandemic
This is simple URL to QR i made with Google Collab . It was for my own project but now that i have it ...I'm making it Opensource . It's totally free if you can set it up ...
📊 Data Science projects: learning and challenges
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