NiranjanMudhiraj
|| Be Fearless || Kaggle profile: https://www.kaggle.com/niranjanmudhiraj
KaggleBengaluru
Pinned Repositories
BERT-Sentiment-App
Categorical-Feature-Encoding-Challenge
Machine Learning
Classify-Bear-Images-App
Computer Vision | Production Deployment | Deep Learning |
cloud-gpus
This repository contains information about Cloud GPU offerings specifically for Machine Learning practitioners.
Company-Email-Crawler
Data Collection - Web Scraping
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
datascience-swiss-knife
Set of common tools and techniques for everyday data science tasks with examples
Kaggle-Competitions
kaggle competitions source code | R | Python |
Reinforcement-Learning
Ride-Requests-Time-Series-Forecasting
ARIMA | LSTM | Prophet Forecast
NiranjanMudhiraj's Repositories
NiranjanMudhiraj/Company-Email-Crawler
Data Collection - Web Scraping
NiranjanMudhiraj/BERT-Sentiment-App
NiranjanMudhiraj/Categorical-Feature-Encoding-Challenge
Machine Learning
NiranjanMudhiraj/Classify-Bear-Images-App
Computer Vision | Production Deployment | Deep Learning |
NiranjanMudhiraj/cloud-gpus
This repository contains information about Cloud GPU offerings specifically for Machine Learning practitioners.
NiranjanMudhiraj/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
NiranjanMudhiraj/datascience-swiss-knife
Set of common tools and techniques for everyday data science tasks with examples
NiranjanMudhiraj/Kaggle-Competitions
kaggle competitions source code | R | Python |
NiranjanMudhiraj/Reinforcement-Learning
NiranjanMudhiraj/Ride-Requests-Time-Series-Forecasting
ARIMA | LSTM | Prophet Forecast
NiranjanMudhiraj/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
NiranjanMudhiraj/Problem-Solving
NiranjanMudhiraj/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
NiranjanMudhiraj/vim-python-ide
Python development config with asynchronous Vim Plugins