Saurabh Singh's repositories
Airbnb_project
Descriptive analysis of Airbnb data from Seattle, Boston and Copenhagen
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
augmented-neural-odes
Pytorch implementation of Augmented Neural ODEs :sunflower:
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛
basic_model_scratch
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
cloud-vision
Sample code for Google Cloud Vision
data-analytics
Data analysis in python (and jupyter notebooks)
Data-Science--Cheat-Sheet
Cheat Sheets
DrDataScienceProjects
Code for projects shown on drdatascience.co.uk
FreeML
A List of Data Science/Machine Learning Resources (Mostly Free)
h2o-3
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
inltk
Natural Language Toolkit for Indic Languages
interpret
Fit interpretable models. Explain blackbox machine learning.
medium
A collection of Medium posts
ML
Codes related to various ML Hackathons
news-graph
Key information extraction from text and graph visualization
nltk
NLTK Source
pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
predictive-model-on-watson-ml
Create and deploy a predictive model using Watson Studio and Watson Machine Learning
PyConZA2018
Customer Segmentation
ResumeParser
A framework to parse resumes, extract contact & other information, and check for required terms
ResumeParser-1
Resume Parser using rule based approach. Developed using framework provided by GATE
spam_detection
A Machine Learning Model to classify messages are spam or ham. Working app can be found at https://ehispamdetector.herokuapp.com/
starbuck_capstone
An Udacity DSND Capstone - Starbucks Challenge
training
🐝 Custom Object Detection and Classification Training
Twitter-Sentiment-Analysis-1
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization