top of page
MLP BLOG
GET UP TO DATE WITH A NEW PERSPECTIVE ON MACHINE LEARNING, DATA SCIENCE, AND 3D PRINTING
Ara
markov_projection_final_v0_1.ipynb - New Methodology for Stock Prices Estimates Without Sklearn - Google Colab
#stock #prices #estimates #sklearn #google #colab
Alejandro Romero
29 Nis 20241 dakikada okunur
3 görüntüleme
0 yorum
The Hyperspace is not Always Euclidean: f1 Scores in Positive/Negative Curvature Using Eigenvectors and Sklearn - Part VI
f1 score from eigenvectors assuming positive curvature outperforms euclidean metrics, which gives a hint of reality in a curved space or non
Alejandro Romero
16 Şub 20244 dakikada okunur
2 görüntüleme
0 yorum
The Hyperspace is not Always Euclidean: UPDATED - Study of f1 Score with Sklearn Metrics - Part V (Colab)
Study of f1 Score with Sklearn Metrics in Curved Surfaces. Non Euclidean Geometry.
Alejandro Romero
16 Şub 20241 dakikada okunur
1 görüntüleme
0 yorum
prior_to_MGMv4_1_BETA_30_11_2023.ipynb - New Features for Data Analysis of Stock Prices with Sklearn
Data analysis with Sklearn for stock prices, new features for the new approach.
Alejandro Romero
9 Oca 20241 dakikada okunur
1 görüntüleme
0 yorum
The Hyperspace is not Always Euclidean: Study of f1 Scores with Sklearn Metrics - Part II
In part I it was explained that a first sight at the f1 scores -considering features as in a classic 3D space against a non-euclidean one- g
Alejandro Romero
31 Tem 20232 dakikada okunur
4 görüntüleme
0 yorum
The Hyperspace is not Always Euclidean: Study of f1 Score with Sklearn Metrics - Part III (Colab)
The Hyperspace is not Always Euclidean: Study of f1 Score with Sklearn Metrics, Grid Search - Part III (Google Colab)
Alejandro Romero
31 Tem 20231 dakikada okunur
1 görüntüleme
0 yorum
bottom of page