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14.neural_network_rnn

This repository dives into the basics of a Recurrent Neural Netowrk. It contains an example of a RNN network using Keras API to predict: (i). A single character following a series of characters, (ii). A word following a series of words(sentence). Also it contains the usage of LSTM networks.

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

anomaly-detection-and-recommender-systems

In the repo, we implement anomaly detection (Gaussian fitting) and recommender systems (collaborative filtering) in python and scikit learn based on Andrew Ng's machine learning course.

baikespider

Fetch the url\title\summary from baike

cat-dog-image-classifier

This Repository contains cat dog image classifier model implemented Using Convolutional Neural Network.

cats-dogs-with-keras

An image classifier to identify pictures of cats and dogs absed on very little data.(inspired by fchollet's blog on blog.keras.io)

chatgpt-miniprogram

🤖 ChatGPT 小程序

chatgpt-wxapp

ChatGPT微信小程序源码

chatgpt_da

"Data sets and resources for the book 'Data Analysis with ChatGPT'. This repository contains practical projects, sample code, and data used throughout the book, providing readers with hands-on experience in data analysis."

cnn_medium.

A simple binary classifier to predict if the given image is a cat or a dog.

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

customer-segmentation-with-unsupervised-learning

This project uses data exploration, data preprocessing, PCA, and clustering algorithms to profile an unlabeled group of businesses to create a customer segmentation profile.

flask-minist-number

fruit-images-dataset

Fruits-360: A dataset of images containing fruits and vegetables

hello-world

First version 20170806

hello-world2

a

iaml2017

Introductory Applied Machine Learning (INFR09029)

image-caption-generator

A Neural Network based generative model for captioning images using Tensorflow

iris-classification-svm-sklearn

# iris-classification-SVM fully explain about SVM and train model of iris classification using SVM algorithm in sklearn

k-means-and-principal-component-analysis

Implementation of K-Means and Principal Component Analysis from scratch and in scikit learn. Based on Andrew Ng's Coursera class.

kaggle-dogs-vs-cats

基于Keras实现Kaggle2013--Dogs vs. Cats12500张猫狗图像的精准分类

keras

Deep Learning for humans

kmeans_elbow

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

knn-implementation-from-scratch

KNN is one of the famous classification algorithms. Here I have tried to implement it from scratch on a real life dataset and compared the accuracy by running it again on scikit learn

multivariate-regression-usa_housing

passorfailclassification

Quick use of logistic regression with and without polynomial features.

pca-on-iris-dataset-with-classification-using-knnc

In this repository , You can find the files which implements Principal Component Analysis on Iris Dataset and Classification using K-Nearest Neighbor Classifier.

regularized-logistic-regression

In this repository, we will implement regularized logistic regression to predict whether microchips from a fabrication plant passes quality assurance (QA)

visualizing-a-decision-tree-machine-learning

This machine learning program uses sklearn and numpy to create a decision tree. From provided data, the program will use the decison tree as a flow chart, predicting details of the flower the data is based on.