SvetiStefan's repositories
2020plus
Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
EffectiveTensorflow
Tensorflow tutorials and best practices.
nltk
NLTK Source
Cookbook
The Data Engineering Cookbook
Data-Science-In-Python
:snake: Data Science Boot-Camp
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
DepthNet
PyTorch DepthNet Training on Still Box dataset
edarf
exploratory data analysis using random forests
gensim
Topic Modelling for Humans
ggRandomForests
Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.
halplus
Nonparametric regression and prediction using the highly adaptive lasso algorithm
instacart
Instacart Market Basket Analysis - Which products will an Instacart consumer purchase again?
instacart-basket-prediction
Kaggle | Instacart Market Basket Analysis🥕🥉
instacart-market-basket-analysis
my solution to kaggle's Instacart Market Basket Analysis competition
Instacart-Market-Basket-Analysis-1
kaggle:Instacart-Market-Basket-Analysis-12th solution
margins
An R Port of Stata's 'margins' Command
Market-Basket-Analysis-1
Basic Market Basket Analysis in R
mlr
mlr: Machine Learning in R
NeuroNER
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Pandas-Optimizer
Optimize pandas DataFrame data types for efficient memory use.
randomForest
Python implementation of a random forest for use with continuous value attributes
RandomForest-1
Simple implementation of the random forest algorithm from scratch
sidl
Deep Learning code
simglm
Regression simulation function
spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
STA380
STA 380: Predictive Modeling
stanford-tensorflow-tutorials
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
text_classification
all kinds of text classificaiton models and more with deep learning
textacy
higher-level NLP built on spaCy
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow