PCA/LDA/ICA : a components analysis algorithms comparison
Review the concepts and differences between these famous algorithms.- 29797Murphy ≡ DeepGuide
Make your sklearn models up to 100 times faster
How to considerable reduce training time changing only 1 line of code- 27982Murphy ≡ DeepGuide
Train your ML models on GPU changing just one line of code
Utilize cuML and ATOM to make your machine learning pipelines blazingly fast- 24340Murphy ≡ DeepGuide
Visualizing 3 Sklearn Cross-validation: K-Fold, Shuffle & Split, and Time Series Split
Plotting the process of Sklearn K-Fold, Shuffle & Split, and Time Series Split cross-validation and showing validating results using Python- 25798Murphy ≡ DeepGuide
Sklearn Tutorial: Module 1
I took the official sklearn MOOC tutorial. Here are my takeaways.- 27269Murphy ≡ DeepGuide
Sklearn tutorial: module 2
After years of playing with the Python scientific stack (NumPy, Matplotlib, SciPy, Pandas, and Seaborn), it became obvious to me that the next step was scikit-learn, or "sklearn". This second module focuses on the concept of models scores, inclu- 29034Murphy ≡ DeepGuide
Sklearn Tutorial: Module 3
I took the official sklearn MOOC tutorial. Here are my takeaways.- 22818Murphy ≡ DeepGuide
Sklearn Tutorial: Module 4
Linear models, handling non-linearity, and regularization- 22949Murphy ≡ DeepGuide
Sklean Tutorial: Module 5
Decision trees are actually simple.- 20895Murphy ≡ DeepGuide
The Dummy models of Scikit-learn
Always keep a dummy by your side.- 29169Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag