kaggle data science projects

Reference Link: Https://www.tuicool.com/articles/QBZzquY The journey from Python rookie to Python Kaggler (Kaggle is a data modeling and data analysis competition platform) If you want to be a data scientist, or already a data scientist, you want to expand your skills, then

onmachine learning course from Yaser Abu-mostafa. If you need more lucid explanation for the techniques, you can opt for Themachine learning course from Andrew Ng and follow The exercises on Python. tutorials (Individual guidance) On Scikit Learn Assignment: Try out this challenge on KaggleStep 7:practice, practice and practiceCongratulations, you made it!You are now having all the need in technical skills. It is a matter of practice and what better place to practice than compe

main component from the largest contribution rate, until the cumulative contribution rate to meet the requirements;Then define the principal component load (loadings, which is called the factor load in the factor analysis):That is, the correlation coefficients of the first principal component and the J Primitive variable, the matrix a= (AIJ) is called the factor load matrix, and in practice the AIJ is used instead of Uij As the principal component coefficient, because it is a standardized coef

attributes to take the logarithm;4.None, then the maximum number of attributes is the total number of attributes; max_leaf_nodes : This parameter is used to determine the maximum number of leaf nodes in the final decision tree model, with no limit by default, or Noneclass_weight : Used to deal with the weight of the category imbalance problem, it is recommended to use "balanced", that is, automatically according to the prior distribution of the right, the default is None, that is, ignore the we

class file system for PFS. Arithmetic and visualization # Recommended Usegonum Plot Graph Stat Integrate Lapack Unit Matrix Mathext Floats Blas Optimize You can perform matrix operations (matrices), or you can draw (plot). Prediction # Linear regression is used here, using github.com/sajari/regression this package. Forecast that the 2016 lecture will be set up in 195 projects this day, and in 2017 there wil

The author Matthew May is a computer postgraduate in parallel machine learning algorithms, and Matthew is also a data mining learner, a data enthusiast, and a dedicated machine-learning scientist. Open source tools play an increasingly important role in data science workflows. GitHub Ten deep learning