Deep Learning vs Tranditional ML methods for TB Drug Resistance prediction from Genomic data
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Updated
Apr 24, 2024 - Jupyter Notebook
Deep Learning vs Tranditional ML methods for TB Drug Resistance prediction from Genomic data
Natural language processing of job postings in order to gain insight into the data science job market.
Code for kaggle single cell competition (got bronze medal)
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.
Unofficial python interface to Spectra library; GPU accelerated eigenvalue / TruncatedSVD problems solving
NearestNeighbors and correlation matrix for book recommendation.
✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)
In this repository, I am practiced and implemented various machine learning algorithms using the real-world dataset amazon food reviews from Kaggle.
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
Malware classification using Extreme Gradient Boosting - XGBoost, CountVectorizer, TruncatedSVD
Text Classification using ML and DL
MUSCO: MUlti-Stage COmpression of neural networks
MUSCO: Multi-Stage COmpression of neural networks
Linear Algebra Course Assignments at IISc, Bangalore
Sparse Truncated SVD Benchmark (Python)
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