GitHub topics: learning-curves
kamua/lcurvetools
Simple tools for Python language to plot learning curves of a neural network model trained with the keras or scikit-learn framework.
Language: Python - Size: 567 KB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
martn2023/training-regression-models
Introducing 4 regression models, and how to optimize via Gradient Descent
Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
gxywy/rl-plotter
:sparkles: A plotter for reinforcement learning (RL)
Language: Python - Size: 2.89 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 213 - Forks: 30
geyang/ml-logger_examples
Usages Examples for ML-Logger
Language: Python - Size: 8.49 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
omarkhaled00/MachineLearningOnHeartAttackDataset
Exploring the heart attack dataset and applying Machine learning techniques on it
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
Olaitan94/Implementing-regularization-on-a-Linear-regression-model
Regularization
Language: Jupyter Notebook - Size: 93.8 KB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
Ohara124c41/MLND-Predicting_Boston_Housing_Pricing
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
Language: HTML - Size: 820 KB - Last synced at: 12 months ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 2
Ohara124c41/MLND-Customer_Segments Fork of nd009/creating_customer_segments
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
Language: Jupyter Notebook - Size: 768 KB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
juliorodrigues07/ny_rent_pricing 📦
Rent pricing prediction on NY properties with interactive dashboards.
Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
jfilter/deep-plots 📦
📉 Visualize your Deep Learning training in static graphics
Language: Python - Size: 149 KB - Last synced at: 4 days ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1
PS-Priyanka/Fruits-Image-Classification-Using-Alexnet
Using Alexnet Architecture for Multiclass Fruit Classification
Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 2
schatzederwelt/best-oil-production-region
Предсказание прибыльного региона нефтедобычи
Language: Jupyter Notebook - Size: 880 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
0-k/learning-curves
Plotting cost curves of solar PV
Language: Python - Size: 69.3 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
spapicchio/Gamma-Telescope-Analysis
Machine Learning analysis for an imbalanced dataset. Developed as final project for the course "Machine Learning and Intelligent Systems" at Eurecom, Sophia Antipolis
Language: Jupyter Notebook - Size: 48.9 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
sunnykan/juliaFiles
Implementation of Andrew Ng's machine learning exercises in Julia
Language: Jupyter Notebook - Size: 776 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
AFIT-R/learningCurve
An Implementation of Crawford's and Wright's Learning Curve Production Functions
Language: R - Size: 335 KB - Last synced at: 7 days ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 3
KanchanSatpute/Titanic-Survival-Prediction
The goal is to predict whether or not a passenger survived based on attributes such as their age, sex, passenger class, where they embarked, etc.
Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
AhmedAAkl/boston_housing
Boston house prices prediction for machine learning nanodegree
Language: HTML - Size: 752 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
miguelangelnieto/Predicting-Boston-Housing-Prices
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
Language: HTML - Size: 216 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
