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Questions tagged [machine-learning]

Machine learning provides computer algorithms that automatically discover patterns in data and make intelligent decisions from them.

-4
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0answers
16 views

how to test input image from pre trained CNN model [closed]

i have saved my CNN model in .pth file. Using Pytorch. I want to predict input image from my .pth file .I m getting this error. File "C:/Users/MS/PycharmProjects/GUI_last/test.py", line 148, in ...
1
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0answers
28 views

Modified and created a new python class for generating a report of metrics for machine learning

I initially posted a question on SO. I have come up with an answer for the same. Basically, given two dicts of models and parameters, user can create an object, and get the report in 5 steps. ...
5
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1answer
21 views

Simple SVM in MATLAB

I'm studying SVMs and wrote a demo in MATLAB (because I couldn't get a quadratic programming package to work correctly in Python). Right now it's simple and can only do linearly-separable cases (...
1
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0answers
77 views

Chess Agent using reinforcement learning with monte carlo tree search

I wanted to ask if this project is valid to state on a resume for entry-level python developer and if the code is presentable to say a job interviewer. github link: full project (If this is not the ...
2
votes
1answer
50 views

User-Interactive Data Cleaning Program in Python

I'm trying to develop a program in Python that allows the user to import datasets and perform operations on them using pandas and numpy so she/he can skip writing all the preprocessing code her/...
0
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1answer
35 views

A simple clusterness measure of data in one dimension using Java

Problem definition Given \$X = (x_1, \dots, x_n)\$ such that \$x_1 \leq x_2 \leq \dots \leq x_n \$. Let \$x_{\min} = \min X = x_1\$, \$x_{\max} = \max X = x_n\$ and \$r = x_{\max} - x_{\min}\$. Also, ...
0
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1answer
70 views

Predicting credit card default

I have this code for predicting credit card default and it works perfectly, but I am checking here to see if anybody could make it more efficient or compact. It is pretty long though, but please bear ...
3
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0answers
54 views

A simple toy ResNet model and its implementation

I want to understand how resnet works also called us residual networks and I understand it better when I code one myself. I tried to find a simple implementation of resnet in the web but most I found ...
1
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0answers
35 views

Posterior collapses in an RNN variational auto-encoder - PyTorch

I am trying to implement and train an RNN variational auto-encoder as the one explained in "Generating Sentences from a Continuous Space". Although I apply their proposed techniques to mitigate ...
4
votes
1answer
49 views

Set of one-hot encoders in Python

In the absence of feature-complete and easy-to-use one-hot encoders in the Python ecosystem I've made a set of my own. This is intended to be a small library, so I want to make sure it's as clear and ...
1
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0answers
27 views

Custom Vector and Matrix classes in python for machine learning

I am creating a machine learning tool set from scratch in python. I have never done something of this kind and I don't usually use python but I thought it would be good to expand my horizons. I am ...
1
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0answers
63 views

Tensorflow model for predicting dice game decisions

For my first ML project I have modeled a dice game called Ten Thousand, or Farkle, depending on who you ask, as a vastly over-engineered solution to a computer player. You can find the complete game, ...
1
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0answers
41 views

Get stacked game state in NHWC format

After reading this, I decided to transition my DQN code from the keras library to tf.keras library (code is located in this repo) and my original code used NCHW format, as it was faster with GPUs. As ...
3
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0answers
259 views

Auto classification of my bank transactions

This is my first Machine Learning algorithm using Python and SkLearn. The code works, which is pretty awesome. I'm getting about 65-70% of accuracy after training it with about 4k rows of data. ...
5
votes
1answer
154 views

Reinforcement Learning for Flappy Bird in JavaScript

To give a bit of a background, I'm organizing a small session about reinforcement-learning, specifically Q-learning, to a group of high school students in the ...
2
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0answers
79 views

Simple Neural Network from scratch using NumPy (Python)

I added learning rate and momentum to a neural network implementation from scratch I found at: https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6 ...
2
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0answers
78 views

Principal Component Analysis in Tensorflow

To learn the low-level API of Tensorflow I am trying to implement some traditional machine learning algorithms. The following Python script implements Principal Component Analysis using gradient ...
3
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1answer
685 views

k-means using numpy

This is k-means implementation using Python (numpy). I believe there is room for improvement when it comes to computing distances (given I'm using a list comprehension, maybe I could also pack it in a ...
2
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0answers
54 views

Simple linear regression of two variables

This is the code I built to implement a simple linear regression to check the impact of variable A on B. I am not interested in predicting that's why the statistical approach is important for me to ...
3
votes
1answer
194 views

BipedalWalker-v2 one-step actor-critic agent trains slow

I'm trying to solve the OpenAI BipedalWalker-v2 by using a one-step actor-critic agent. I'm implementing the solution using python and tensorflow. My question is whether the code is slow because of ...
7
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0answers
108 views

Seating Students (partitioning sort of)

The goal of this code is to seat students in a classroom based on a single test score. We want students to be evenly distributed across the class such that every student is positioned next to the ...
6
votes
1answer
74 views

Random Weighted Classifier in R

I am computing a random weighted classifier based on the rates at which 3 labels appear in a "train" set. I want to use this RWC as a baseline for other classifiers. I'm doing this over 1000 ...
6
votes
1answer
63 views

Simple neural network implementation in Python

A simple neural network I wrote in Python without libraries. I avoided implementing it in matrix form because I sought to get a basic understanding of the way NN's work first. For that reason I'm ...
2
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0answers
45 views

How to make my neural network train faster

I'm trying to train my neural network and for the most part it's going well. However, I'd like it if it could train faster and was wondering if anyone could give some advice. I'm trying mostly to ...
6
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0answers
127 views

Python class for organizing images for machine learning

I built a class to help me handle image data to use in machine learning. I thought that there would be a pre-existing package that did what I wanted but I couldn't find it so I wrote this. I am not ...
2
votes
1answer
45 views

Basic Single Header statistics and ml libray for C++ - Scikit-Learn like implementation

I am developing scikit-learn like implementation for C++ it is in the initial stage while developing I've started doubt myself that is this the correct implementation, since here accuracy is more ...
1
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0answers
87 views

Neural Network Backpropagation

My neural network is buggy somewhere. However, the reason I am posting here and not Stack Overflow is because a buggy neural network can still be trained to some degree and will compile/perform better ...
9
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2answers
185 views

Univariate linear regression from scratch in Python

I am relatively new to machine learning and I believe one of the best ways for me to get the intuition behind most algorithms is to write them from scratch before using tons of external libraries. ...
2
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0answers
826 views

Logistic Regression using PyTorch

I want to get familiar with PyTorch and decided to implement a simple neural network that is essentially a logistic regression classifier to solve the Dogs vs. Cats problem. I move 5000 random ...
1
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0answers
69 views

Predicting Disaster (Titanic)

Intro I have started a new course (Analyzing Big Data with Microsoft R) and have an exam soon. So I wanted to test my skills, and a nice way to do this was by doing a Kaggle competition Titanic: ...
4
votes
1answer
229 views

Naive Bayesian Algorithm in Python with cross-validation

I've wrote this code to evaluate a Machine Learning - the classification problem for digits recognition as in the figure below: For more details and to check the whole code, check the GitHub ...
8
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1answer
536 views

Genetic algorithm for playing Tetris

Readme.md Tetris In my quest to building a Tetris game, where you can challenge an AI, I have created and trained an AI that plays Tetris all by himself. Github link I think the easiest way to run ...
1
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0answers
123 views

Simple Neural Network in C

A neural network is a structure of connections and nodes that takes input and generates an output. It can be "taught"(adjusting weights and biases of connections) from a teacher data set with ...
4
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0answers
311 views

Tic Tac Toe engine in Python for Deep Learning

I'm implementing a Tic Tac Toe engine that will work with deep learning. I'm using a 3x3 numpy array of floats to represent the board. +1.0 represents an X, ...
4
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0answers
230 views

Linear Regression in Tensorflow

I am a machine learning newbie and recently I implemented (or at least tried to implement) a linear regression model in tensorflow. I would love to know how I can improve my code: ...
5
votes
1answer
189 views

Linear Regression on random data

Wrote a simple script to implement Linear regression and practice numpy/pandas. Uses random data, so obviously weights (thetas) have no significant meaning. Looking for feedback on Performance Python ...
3
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2answers
81 views

Inefficient Regularized Logistic Regression with Numpy

I am a machine learning noob attempting to implement regularized logistic regression via Newton's method. The example data have two features which are to be expanded to 28 through finding all ...
1
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0answers
102 views

Chainer - Python - Logistic Regression

I created a simple Logistic Regression model using Python and Chainer. I would like to optimize the code for which I like to get some help. One restriction: interchanging the implemented ...
0
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1answer
149 views

Greedy adaptive dictionary (GAD) for supervised machine learning [closed]

For my project in machine learning supervised, I have to simplify a training-data and I have to use this technique at page 5 of the document. Pseudocode algorithm My code (numbers are the steps): <...
3
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0answers
300 views

PCA, LDA and Logistic Regression

Based on the great blog by Joel Grus, I implemented LogisticRegression, PCA, and LDA. I'd appreciate feedback as I'm not sure that the logistic classifier is good enough (as it supposed to achieve ...
5
votes
1answer
224 views

Facial recognition tool

I created a small library and an example application in Python for learning about facial recognition and experimenting with it. Right now though, I am loading a list of file names into memory and then ...
5
votes
0answers
129 views

Deep learning CNN for image recognition using tensor flow

This algorithm is a convolutional deep neural network used for image recognition. I used the MNIST data set, which is a bunch of images from 0 to 9. As of right now, I have trained this image with ...
3
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0answers
3k views

Code for Training a Handwriting Recognition Model

I just made my machine learning code work a few days ago and I would like to know if there's a way to improve my code. Before I get to the implementation of the tasks at hand, I would like to ...
2
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0answers
605 views

Optimize GPU usage for real-time object detection from camera with TensorFlow GPU and OpenCV

Trying to recognize objects real time using TensorFlow Object Detection API OpenCV using ssd_mobilenet_v1_coco_11_06_2017 model in GPU. ...
1
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0answers
33 views

NER and its F Measure Calculation

I am trying to write one Name Entity Recognition in Hindi. I have primarily used NLTK of Python. I have used HMM Module with its supervised training. The data is annotated and saved in .pos files ...
5
votes
0answers
161 views

Code for training machine learning linear regression and SVM

Ok , for my final year project I've wrote this piece of code to train my machine learning model on a this dataset , here the code i used ...
1
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0answers
300 views

Training MLP classifier with TensorFlow on notMNIST dataset

I am new to TensorFlow and I would really appreciate if someone could look at my code to see whether things are done efficiently and suggest improvements. This code works okay and achieves around 91....
3
votes
0answers
221 views

Weighted logistic regression in Julia

I'm trying to estimate a weighted logistic regression as part of a bigger project. I have an implementation in Matlab2015b, but I wanted to give Julia a try to see if I could speed up the estimation ...
7
votes
1answer
742 views

Implementation of linear regression in Python

I wrote an implementation for multivariate linear regression in Python, for data in this link: http://www-bcf.usc.edu/~gareth/ISL/Advertising.csv My main focus is to avoid loops as much as possible ...
3
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0answers
42 views

Sklearn: Regularized ridge regression for predicting fantasy football performance from several sources' projections

I've been working on trying to predict fantasy performance of players in this upcoming NFL season based on projections from several experts/sources. I trained the data on projections from last year ...