model-complexity

There are 1 repository under model-complexity topic.

Decadz / Genetic-Programming-with-Rademacher-Complexity
Code for the GP-RC algorithm presented in "Genetic Programming with Rademacher Complexity for Symbolic Regression" (CEC-2019). Paper Link: https://ieeexplore.ieee.org/document/8790341
evolutionary-computation genetic-programming symbolic-regression model-complexity rademacher-complexity
Language:Python 14
dhingratul / Model-Compression
Reduce the model complexity by 612 times, and memory footprint by 19.5 times compared to base model, while achieving worst case accuracy threshold.
deep-learning tensorflow memory-footprint model-complexity cnn mnist lightweight mobile-platform ensemble-model keras inception 1x1 conv1x1 model-compression model-acceleration
Language:Jupyter Notebook 4
PAL-UH / transferAL
Domain Adaptation by Transferring Model-Complexity Priors Across Tasks Paper Experiments
domain-adaptation bayesian-statistics transfer-learning active-learning model-complexity statistical-tests university-of-houston
Language:MATLAB 3
rexxy-sasori / nnutils
Pipeline for training and evaluating CNNs as well as analyzing layerwise computational complexity
neural-network model-complexity
Language:Python 2
Predicting-Boston-Housing-Prices
sushantdhumak / Predicting-Boston-Housing-Prices
Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home
python scikitlearn-machine-learning decision-tree-regression model-complexity model-selection model-validation matplotlib-pyplot regression-models boston-housing-price-prediction boston-housing-prices boston-housing-dataset gridsearchcv cross-validation learning-curve complexity-curve complexity-analysis machine-learning housing-prices boston scikit-learn
Language:Jupyter Notebook 2
liyijin-data-PM / Applied-Machine-Learning-in-Python-Coursera
A wide variety of supervised and unsupervised machine learning methods using the scikit-learn library
confusion-matrix cross-validation decision-trees gridsearchcv k-nearest-neighbours lasso-regression model-complexity model-evaluation precision-recall-curve regularization ridge-regression roc-auc roc-curve scikit-learn supervised-machine-learning support-vector-machines
Language:Jupyter Notebook 1
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.
svm-classifier k-fold grid-search cross-validation predictive-modeling metric-performance model-complexity learning-curves
Language:HTML 1
prateekiiest / boston_housing
Udacity Machine Learning Nano degree Program. Project Predicting House prices in Boston
model-evaluation machine-learning model-complexity cross-validation regression regression-models statistical-analysis correlation-measures udacity-machine-learning-nanodegree hacktoberfest
Language:HTML 1
ashutoshtiwari13 / BostonHousing-Predictor
Predicting Boston Housing Prices using Machine Learning
model-evaluation model-complexity machine-learning cross-validation regression regression-models correlation-measures statistical-analysis udacity-machine-learning-nanodegree
Language:Jupyter Notebook
auriml / model_evaluation_exercise
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.
performance-metrics cross-validation learning-curve model-complexity
Language:HTML
enesozi / ML-course-HW1
Bias/Variance dilemma, cross-validation and work on Iris Data Set from UCI Machine Learning Repository
bias-variance iris-dataset cross-validation gaussian-distribution classification maximum-likelihood-estimation model-complexity octave
Language:MATLAB
Faroja / Machine-Learning-Practice-5
Practice Machine Learning Model Complexity in Linear Model
lasso-regression linear-models machine-learning model-complexity ridge-regression
Language:Jupyter Notebook
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.
bias cross-validation learning-curves metric-performance model-complexity model-tuning overfitting statistical-analysis underfitting variance
Language:HTML
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.
pca ica sklearn learning-curves model-complexity feature-selection feature-engineering
Language:Jupyter Notebook
rebeccak1 / boston-housing
Predicting Boston Housing Prices
bias-variance boston-housing-price-prediction cross-validation learning-curve model-complexity model-tuning python statistical-analysis udacity-machine-learning-nanodegree
Language:Jupyter Notebook