Data For ashudva/ML-6.86x

Only showing last 50 predictions

# Title Body Link Prediction Confidence Labeled?
43 Q-learning algorithms on the Home World game results feature_request 0.48 False None None
42 deep Q-network feature_request 0.73 True None None
41 Q-learning algorithm Implement the Q-learning algorithm with linear approximation architecture, using bag-of-words... feature_request 0.93 True None None
40 tabular Q-learning algorithm feature_request 0.66 True None None
39 Bayesian Information Criterion feature_request 0.69 True None None
38 plot comparison for k-means and naive_em feature_request 0.85 True None None
37 EM algorithm naive implementation feature_request 0.75 True None None
36 BackPropagation and class NeuralNetworks feature_request 0.58 True None None
35 Implement derivative of ReLU (Does not handle vectorized input) feature_request 0.71 True None None
34 Implement ReLU feature_request 0.96 True None None
32 Upload files for Digit_Recognition_NNs feature_request 0.82 True None None
31 Implement Neural Network feature_request 0.97 True None None
28 Enhance Review Analyzer Rewrite code for algorithms feature_request 0.99 True None None
27 Gradient Descent Algorithm to minimize J(theta) Run the Gradient Descent Algorithm to minimize the cost function i.e. J(theta) feature_request 0.98 True None None
26 Multinomial (Softmax) Regression & Gradient Descent bug 0.56 True None None
25 One vs. One SVM using LinearSVC feature_request 0.54 True None None
24 One vs. Rest SVM Using `sklearn` build SVM feature_request 0.56 True None None
23 Linear regression with **closed form solution** implement - **run_linear_regression_on_MNIST** : in ** feature_request 0.86 True None None
22 Upload files for Digit_Recognition feature_request 0.8 True None None
20 Enhance Hinge Loss (Single Update) feature_request 0.97 True None None
19 Empirical Risks Loss functions used: * Hinge Loss * Squared Error Loss bug 0.54 True None None
18 Initialize Digit_Recognition Project feature_request 0.76 True None None
17 New project feature_request 0.83 True None None