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Data preprocessing in python using scikit learn library that includes scaling, label encoding for preprocessing and preparing data for our models.
Linear regression assumptions: Validate models, understand key assumptions, and improve statistical analysis with expert insights."
This article reviews top 10 masters program in analytics, data science and machine learning in US and ranked them according to parameters.
This tutorial explains using isotonic regression and platt scaling to calibrate predicted probabilities to improve logloss error in data set
This case study is based on Chennai Floods 2015 and measures people's sentiments during he floods by analyzing the response on twitter.
This is the solution of mini datahack time series. The winners used xgboost, exponential smoothing time series and data exploration techniques
This article list the best tutorial and talks on python from PyCon Conference 2016. The videos include machine learning, statistics, data etc
Building recommendation engines in python and R, learn building one using graphlab library in the field of data science and machine learning.
This article explain the reasons behind analytics / machine learning models deployment failure in business world to a data scientists/analyst.
A tutorial to configure aws instances to do faster data computation. In this article learn how to build your first model in machine learning with aws.
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