learning-curves
There are 23 repositories under learning-curves topic.
gxywy/rl-plotter
:sparkles: A plotter for reinforcement learning (RL)
jfilter/deep-plots
📉 Visualize your Deep Learning training in static graphics
NvsYashwanth/machinelearningmaster
All about machine learning
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
AFIT-R/learningCurve
An Implementation of Crawford's and Wright's Learning Curve Production Functions
geyang/ml-logger_examples
Usages Examples for ML-Logger
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.
PS-Priyanka/Fruits-Image-Classification-Using-Alexnet
Using Alexnet Architecture for Multiclass Fruit Classification
sunnykan/juliaFiles
Implementation of Andrew Ng's machine learning exercises in Julia
udaris/Final-Year-Project
Image processing with python and Machine learning. This is about analyzing Ayurveda plants and detection through uploading an image of plant leaves or flowers.
0-k/learning-curves
Plotting cost curves of solar PV
AhmedAAkl/boston_housing
Boston house prices prediction for machine learning nanodegree
ankita1112/Deep-Neural-Networks
Image Analysis: Classification of hand poses in the American sign language
juliorodrigues07/ny_rent_pricing
Rent pricing prediction on NY properties with interactive dashboards.
kamua/lcurvetools
Simple tools for Python language to plot learning curves of a neural network model trained with the keras or scikit-learn framework.
schatzederwelt/best-oil-production-region
Предсказание прибыльного региона нефтедобычи
adibyte95/ML-Competitions
important code snippets in machine learning
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.
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.
Ohara124c41/MLND-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.
omarkhaled00/MachineLearningOnHeartAttackDataset
Exploring the heart attack dataset and applying Machine learning techniques on it