collaboratory

ResNet benchmark by Keras(TensorFlow), Keras(MXNet), Chainer, PyTorch using Google Colab

Machine Learning Crash Course With Tensorflow APIs using Google Collab

Estimating time-series changes in social sentiment @twitter in U.S. metropolises during the COVID-19 pandemic

Stores the basic Machine Learning models that I've worked on and learned from using Kaggle, Google Colab and Jupyter Notebook

TPU benchmarks in colaboratory

📊 Data Science projects: learning and challenges

A purpose to solve and get good results in Kaggle Titanic competition - https://www.kaggle.com/c/titanic

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 ...

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

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 Sensitivity for COVID-19 @ Twitter in Japan

A Jupyter Notebook demonstrating Linear and Logistic Regression implemented from scratch using NumPy, compared against Scikit-learn models.

Hangman Code using C Language