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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

2016-ml-contest

Machine learning contest - October 2016 TLE

accordilytics

A simple windows based software to perform exploratory data analysis, dimensionality reduction and predictive modeling. This software enables users to generate & visualize feature statistics, class distributions, feature cross-plots, correlations, principal components and confusion matirx.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

autocropcollage

A python package to split image collages. This step is crucial while creating training dataset for image based machine learning projects.

autoencoders_timeseriesanomalydetection

Time series anomaly detection using auto-encoder neural network architecture

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

bayesian-hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

bert

TensorFlow code and pre-trained models for BERT

black-gold-through-history-exploratory-data-analysis

This work explores the hydrocarbon discoveries in different parts of the world. Dive in to watch seaborn, folium and Basemap create visual awesomeness.

bubble_chart_v4

d3v4 implementation of bubble charts.

cat-breed-classifier-fastai

Cat Breed Classification using fast-ai cnn learner

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

cnn_text_classification

A PyTorch CNN for classifying the sentiment of movie reviews, based on the paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim (2014).

content

Official content for Harvard CS109

cpp-cheatsheet

Modern C++ Cheatsheet

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

cs231n

Solutions to Stanford CS231n Spring 2018 Course Assignments.

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

d3data

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-prep

Problems from https://datascienceprep.com/

datasciencepython

common data analysis and machine learning tasks using python

datasets

My datasets - Original data or Aggregated / cleaned / restructured existing datasets. Released here under Creative Commons B

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning_best-practices