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brain-tumor-mri-segmentation-using-pso-and-woa

The project aims at comparing results achieved by Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA) in segmentation of MRIs of Brain Tumor. The above mentioned algorithms are used for segmenting each MRIs in three clusters Skull, White matter and Tumor. SVM was used to train the dataset.

bsp-net-original

Tensorflow 1.15 implementation of BSP-NET, along with other scripts used in our paper.

bvrithyderabad

capstoneproject_house_prices_prediction

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.

captum

Model interpretability and understanding for PyTorch

cat_dog_classification_app

A ML Applicationf of Cat- Dog classification, which is created from scratch.

causalml

Uplift modeling and causal inference with machine learning algorithms

chinese_models_for_spacy

SpaCy 中文模型 | Models for SpaCy that support Chinese

cifar-10-classification-with-image-augmentation

CIFAR10 classification using CNNs including image augmentation using CV2

classic-deep-learning-models

Implementation of classic deep learning models

classifier-calibration

Reliability diagrams, Platt's scaling, isotonic regression

cmaes

Lightweight CMA Evolution Strategy implementation for Python.

cmp4336-project

Identifying Pictures Using Supervised Learning: Comparison of Different Classifiers

cnn

Training a convolutional neural network using own picture dataset

cnn-image-classfication

使用CNN进行图像分类，并且附录了SIFT+BOG+SVM多分类器的机器学习分类模型

combo

A Python Toolbox for Machine Learning Model Combination

corella

Beautiful correlation plots for the terminal

corner.py

Make some beautiful corner plots

coursera

✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

crepes

Conformal regressors and predictive systems

cubist

A Python package for fitting Quinlan's Cubist regression model.

cvms

R Package: Cross-validate one or multiple gaussian or binomial regression models at once. Perform repeated cross-validation. Returns results in a tibble for easy comparison, reporting and further analysis.

dalex

moDel Agnostic Language for Exploration and eXplanation

darts

A python library for easy manipulation and forecasting of time series.

data-science-abril-19

Repositório da turma de abril do bootcamp de Data Science & Machine Learning for Business da Tera

dataminingcase

基于真实业务上手数据挖掘（银行流失预警）:数据的处理、LightGBM、skLearning包(里面含有：GridSearchCV寻找最优参、StratifiedKFold分层5折切分、_test_Split单次数据切分等)、叠层模型融合、画AUC图、画混淆矩阵图，并输出预测名单。

dataprep

DataPrep — The easiest way to prepare data in Python

datascience-neural-network-pybrain

Studying Artificial Neural Network with PyBrain

datasciencepython

common data analysis and machine learning tasks using python