negoool Goto Github PK

dimensionality-reduction

Using different techniques, PCA, Kernel PCA, LLE, Isomap, MDS, t-SNE and LDA for dimension reduction

ensemble-models

explore bagging ensemble(exp. Random Forest) and AdaBoost, Gradient boosting on MNIST as well as MOONS

full-stack-prediction-pipeline

end-to-end scikit learn pipeline to load, clean housing data and predicting prices with various cross validated and fine tuned regressor models

gaussian-mixture-model

k_means

implementing k means clustering with analytical tools

kaggle-competition-house-price-prediction-

knn

find most similar people in a social network based on their wikipedia page(both exhaustive search and Locality Sensitive Hashing algorithm)

logistic-regression

classify product review sentiments using Logistic Regression

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

mlops-zoomcamp

neural-network

implementing neural network classifier from scratch

nlp

regression_lasso

use L1 regularization to select features for price prediction based on house sales data.

regression_ridge

l2 regularized linear regression , normal equation, batch and stochastic gradient descent classes compatible with Scikit learn pipeline

sgdregressor

stochastic gradient descent compatible with sklearn pipeline

softmax

using softmax for multiclass classification on iris dataset

text2speech

Mlops practices

video_to_blog