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Jupyter Notebook
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Timing and Profiling in IPython - PyNash
pynash.org
Jupyter Notebook
Devop
Pin
Managing Containerized Data Pipeline Dependencies With Luigi — AdRoll
tech.adroll.com
Containerized Data Science and Engineering - Part 2, Dockerized Data Science
datadan.io
深度 | 从硬件到软件:OpenAI 解读自家的深度学习基础架构
mp.weixin.qq.com
Devop
Model Interpretability
Pin
Ideas on interpreting machine learning - O'Reilly Media
oreilly.com
marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier
github.com
Model Interpretability
Sentiment Analysis
Pin
monkeylearn/hotel-review-analysis: Sentiment analysis and aspect classification for hot...
github.com
Sentiment Analysis
Model Evaluation
Pin
分类之性能评估指标 – 我爱机器学习
52ml.net
1606.01885v1.pdf
arxiv.org
Lift analysis - A data scientist's secret weapon
blog.datalifebalance.com
Evaluation Metrics - MLlib - Spark 1.5.2 Documentation
spark.apache.org
Assessing and Comparing Classifier Performance with ROC Curves - Machine Learning Mastery
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Model Evaluation
Feature Engineering
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(1) Predictive Modeling: How can you perform accurate feature engineering/extraction? -...
quora.com
Santander Customer Satisfaction | Kaggle
kaggle.com
Discover Feature Engineering, How to Engineer Features and How to Get Good at It - Mach...
machinelearningmastery.com
ŷhat | Data Normalization in Python
blog.yhat.com
Feature Engineering
KNN
Pin
Machine Learning in Action(1) K-近邻 - kobeshow - 博客园
cnblogs.com
KNN
Clustering
Pin
gallmerci/bico: BICO is a fast streaming algorithm and reduction technique for the k-me...
github.com
data visualization - How to interpret mean of Silhouette plot? - Cross Validated
stats.stackexchange.com
pyclustering/pyclustering/cluster/examples at master · annoviko/pyclustering
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bayesian - PyMC for nonparametric clustering: Dirichlet process to estimate Gaussian mi...
stats.stackexchange.com
clustering - K-means incoherent behaviour choosing K with Elbow method, BIC, variance e...
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Finding the K in K-Means Clustering | The Data Science Lab
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Clustering
Logistic Regression
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Logistic Regression Theory | D.W's Notes - Machine Learning
csuldw.com
scala - Spark: How to run logistic regression using only some features from LabeledPoin...
stackoverflow.com
spark/LogisticRegressionExample.scala at master · apache/spark
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Logistic Regression Analysis – Welcome | LogisticRegressionAnalysis.com | Fast, easy gu...
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Logistic Regression
Maths
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Correlation and coherence, what’s the difference? | CHRIS HOLDGRAF
chrisholdgraf.com
Applications of Linear Algebra Part 2 | edX
edx.org
Maths
Bayesian
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Agile Java Man: Probabilistic Programming - Part 1
javaagile.blogspot.ca
markdregan/Bayesian-Modelling-in-Python: A python tutorial on bayesian modeling techniq...
github.com
GitHub - blei-lab/edward: A library for probabilistic modeling, inference, and criticis...
github.com
粗糙的贝叶斯转化概率预测模型
bluewhale.cc
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justmarkham/kaggle-pycon-2015
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Recommnder
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a1-koren.pdf
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brenocon.com
Algorithsm :: Item-based collaborative filtering
cs.carleton.edu
Similarity Functions for User-User Collaborative Filtering | GroupLens
grouplens.org
www.mmds.org/mmds/v2.1/ch09-recsys2.pdf
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Time Series
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Time Series
analyticsvidhya.com
Time series cross-validation: an R example | Hyndsight
robjhyndman.com
nbviewer.ipython.org/gist/twiecki/3962843
nbviewer.ipython.org
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am207.org
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Time Series
Learning
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Scikit_Learn_Cheat_Sheet_Python.pdf
PDF
Chris Albon
chrisalbon.com
讲你肯定能懂的机器学习多维极值求解
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weibo.com
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stackabuse.com
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Learning
Model Ensemble
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5 Easy Questions on Ensemble Modeling everyone should know
analyticsvidhya.com
ensemble - Bagging, boosting and stacking in machine learning - Cross Validated
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Kaggle Ensembling Guide | MLWave
mlwave.com
Using Ensembles in Kaggle Data Science Competitions- Part 3
kdnuggets.com
kaggle_pbr/blend.py at master · emanuele/kaggle_pbr
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datasciencecentral.com
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Model Ensemble
Dimension Reduce
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Visualising high dimensional data
blog.applied.ai
Feature Reduction using SVD
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浅谈高维数据可视化中的降维方法 | Chih-Hao's Blog
zhihaozhang.github.io
Some useful resources on understanding PCA | CHRIS HOLDGRAF
chrisholdgraf.com
Dimension Reduce
Linear Regression
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Combining linear models | CHRIS HOLDGRAF
chrisholdgraf.com
people.duke.edu/~rnau/Notes_on_linear_regression_analysis--Robert_Nau.pdf
PDF
people.duke.edu/~rnau/Review_of_basic_statistics_and_the_mean_model_for_forecasting--Ro...
PDF
nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/ML-Exercise1.ipynb
nbviewer.ipython.org
nbviewer.ipython.org/github/nborwankar/LearnDataScience/blob/master/notebooks/A3. Linea...
nbviewer.ipython.org
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Linear Regression
Data Pipeline
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skutil/skutil grid demo.ipynb at master · tgsmith61591/skutil
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scikit-learn.org
sklearn-pandas 1.1.0 : Python Package Index
pypi.python.org
Creating your own estimator in scikit-learn
danielhnyk.cz
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Data Pipeline
Decision Tree
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spark/DecisionTreeExample.scala at master · apache/spark
github.com
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Decision Tree
xgboost
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Complete Guide to Parameter Tuning in XGBoost (with codes in Python)
analyticsvidhya.com
xgboost/demo/guide-python at master · dmlc/xgboost · GitHub
github.com
Santander Customer Satisfaction | Kaggle
kaggle.com
xgboost
PFA
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PluginSDK/alpine-model-pack/src/test/scala/com/alpine/model/export/pfa/modelconverters ...
github.com
How to Lower the Cost of Deploying Analytics: An Introduction to the …
slideshare.net
titus 0.8.4 : Python Package Index
pypi.python.org
Home · opendatagroup/hadrian Wiki
github.com
adp0884-pivarskiAcb.pdf
PDF
PFA
Survival Analysis
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Survival Analysis as a Data Science Project (pt 4)
blog.applied.ai
Jupyter Notebook Viewer
nbviewer.jupyter.org
Thesis Ramon Man.pdf
essay.utwente.nl
A Comprehensive guide to Parametric Survival Analysis
analyticsvidhya.com
Kaplan-Meier Curve in Python - ElasticMining
elasticmining.com
Survival analysis in general data science projects
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Survival Analysis
Pandas
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DatasFrame
tomaugspurger.github.io
Pandas Categoricals
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Pandas
Learning Guide
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A Complete Guide on Getting Started with Deep Learning in Python
analyticsvidhya.com
An overview of gradient descent optimization algorithms
sebastianruder.com
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ml.posthaven.com
Building a data science portfolio: Storytelling with data
dataquest.io
NSSD Podcast | Free Listening on SoundCloud
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Learning Guide
Regression
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Example of logistic regression in Python using scikit-learn
dataschool.io
Logistic Regression 模型简介 | 数盟
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Regression
Feature Selection
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Feature Selection with scikit-learn | Data Science, Python, Games
napitupulu-jon.appspot.com
Selecting good features – Part I: univariate selection | Diving into data
blog.datadive.net
Algorithms | Feature Selection @ ASU
featureselection.asu.edu
Selecting good features – Part III: random forests | Diving into data
blog.datadive.net
Selecting good features – Part II: linear models and regularization | Diving into data
blog.datadive.net
Selecting good features – Part IV: stability selection, RFE and everything side by side...
blog.datadive.net
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Feature Selection
Generate Fake Data
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Academic Torrents
academictorrents.com
RANDOM.ORG - True Random Number Service
random.org
tdunning/log-synth: Generates more or less realistic log data for testing simple aggreg...
github.com
4. Fake Data Gives Real Answers - Sharing Big Data Safely [Book]
safaribooksonline.com
Welcome to Faker’s documentation! — Faker 0.5.3 documentation
faker.readthedocs.io
fake-data-generator/src at master · thinkh/fake-data-generator
github.com
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Generate Fake Data
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Machine Learning
Jupyter Notebook
Devop
Model Interpretability
Sentiment Analysis
Model Evaluation
Feature Engineering
KNN
Clustering
Logistic Regression
Maths
Bayesian
Recommnder
Time Series
Learning
Model Ensemble
Dimension Reduce
Linear Regression
Data Pipeline
Decision Tree
xgboost
PFA
Survival Analysis
Pandas
Learning Guide
Regression
Feature Selection
Generate Fake Data