A machine learning project using the data from this Kaggle competition: https://www.kaggle.com/c/random-acts-of-pizza
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Updated
Aug 18, 2018 - Jupyter Notebook
A machine learning project using the data from this Kaggle competition: https://www.kaggle.com/c/random-acts-of-pizza
Built a model using Truncated SVD on amazon fine food review dataset
Netflix data challenge hosted by PRML course in IITM, we secured 5th position as team Goodfellas
Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
Sparse Truncated SVD Benchmark (Python)
Linear Algebra Course Assignments at IISc, Bangalore
MUSCO: Multi-Stage COmpression of neural networks
MUSCO: MUlti-Stage COmpression of neural networks
Text Classification using ML and DL
Malware classification using Extreme Gradient Boosting - XGBoost, CountVectorizer, TruncatedSVD
This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset
In this repository, I am practiced and implemented various machine learning algorithms using the real-world dataset amazon food reviews from Kaggle.
✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)
NearestNeighbors and correlation matrix for book recommendation.
Unofficial python interface to Spectra library; GPU accelerated eigenvalue / TruncatedSVD problems solving
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
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