NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/affan-ch/gesture-talk-ai
GestureTalkAI: Decode hand language with precision. This AI project utilizes cutting-edge computer vision for real-time hand gesture detection, unveiling the unspoken messages conveyed through intuitive movements.
Last synced: 09 Apr 2026
https://github.com/paulo-santos-ds/desenvolvimento_pocos_petroleo
Este projeto tem como objetivo desenvolver um modelo que possa prever o melhor local para a perfuração de poços de petróleo. Utilizando modelo de Machine Learning para poder prever o lucro de cada poço.
math matplotlib-pyplot numpy pandas python3 sklearn
Last synced: 09 Apr 2026
https://github.com/cchandre/vm15d
Hamiltonian fluid reduction of the 1.5D Vlasov-Maxwell equations
fluid-simulation fluid-solver hamiltonian kinetic-modeling mathematica matlab numpy plasma-physics python3 scipy vlasov-equation vlasov-solver
Last synced: 09 Apr 2026
https://github.com/amanpatel-1234/automatic_data_analyzer_app
📊 Automatic Data Analyzer is a Streamlit web app that performs complete data analysis with just a single file upload. Simply upload your CSV file, and the app automatically generates: Data Overview: Preview, summary statistics, and data types. Visual Analysis: Histograms, distribution plots, and interactive charts for numeric columns.
app data-science data-visualization matplotlib-pyplot numpy pandas python3 seaborn seaborn-plots streamlit
Last synced: 09 Apr 2026
https://github.com/c0sogi/python-dcm
A high-performance Python package for handling ETAS DCM(Data Conversion Format) files used in engine calibration tools like INCA, MDA, EHANDBOOK, and CANape.
automotive dcm ecu-calibration etas inca numpy pandas python
Last synced: 12 Aug 2025
https://github.com/bhavik-jikadara/house-price-prediction
House Price Prediction
data-science dataprocessing eda jupyter-notebook machine-learning matplotlib model numpy pandas python seaborn test-train-dataset
Last synced: 09 Apr 2026
https://github.com/skazemi/genadequacy.jl
Tools for single node generation adequacy analysis
adequacy analysis generation julia numpy power-grids power-systems power-systems-analysis python simulation
Last synced: 09 Apr 2026
https://github.com/hansalemaos/cythonfastsort
C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy
c cpp cython numpy parallel-computing parallel-programming python sorting
Last synced: 04 Feb 2026
https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning
This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.
decision-tree-classifier jupyter-notebook kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn svc
Last synced: 18 Jan 2026
https://github.com/34j/numpy-flint-arb
Arbitrary precision floating / ball arithmetic (interval arithmetic) dtype in NumPy / array API
acb arb arbitrary-precision array-api flint interval-arithmetic mpmath numpy
Last synced: 10 Mar 2026
https://github.com/datarohit/fifa-2020--data-analysis
This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.
exploratory-data-analysis exploratory-data-visualizations matplotlib-pyplot numpy pandas seaborn
Last synced: 10 Apr 2026
https://github.com/skywalkerSam/ML-101
Getting started with AI & ML!
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
Last synced: 23 Apr 2025
https://github.com/prashver/customer-segmentation
This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.
customer-segmentation matplotlib numpy pandas seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/achalesh27022003/python-assignments-iwt
This repository is objected to have all the assignments and project related to IWT (Semester - 3).
cosinewave frame grid image imagetk labels matplotlib-pyplot numpy numpy-arrays numpy-library photoimage pil python3 sinewave spyder tkinter tkinter-gui window
Last synced: 10 Apr 2026
https://github.com/nemeslaszlo/sale-price-of-bulldozers
The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)
matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/g-eoj/cv-tl-keras
Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.
cross-validation keras numpy scikit-learn transfer-learning
Last synced: 10 Apr 2026
https://github.com/argemenon/astronomy_and_simulations
I created this repo to learn astronomy and python simulations
astronomy matplolib numpy physics-simulation scipy sympy
Last synced: 10 Apr 2026
https://github.com/amishmathur1/resumeats
✨ With Resume ATS Analyzer, users can improve their resume quality, boost ATS compatibility, and increase their chances of landing interviews — all with smart AI assistance.
express-python matplotlib-python nltk nltk-python numpy openai-api pandas plotly plotly-dash plotly-express pypdf2 python streamlit wordcloud
Last synced: 11 Apr 2026
https://github.com/afif-af/python-code
Basic python practice code,
computer-vision deep-learning keras machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python pytorch scikit-learn tensorflow
Last synced: 11 Apr 2026
https://github.com/ryannapp12/quant_trading_engine
A modular, and scalable quantitative trading engine built in Python. This project demonstrates efficient data caching with SQLite, concurrent backtesting, and advanced risk analytics, showcasing best practices in clean code architecture and performance optimization.
algorithmic-trading backtesting dash data-analysis data-visualization fintech lstm machine-learning numpy pandas plotly python quantitative-finance real-time risk-management sqlite technical-analysis tensorflow time-series-analysis trading-strategies
Last synced: 11 Apr 2026
https://github.com/rcghpge/pymo
A framework in Mojo for AI/ML/DL applications and other domains.
deep-learning deep-neural-networks machine-learning machine-learning-models magic-cli max-gpu modular mojo mojo-language numpy pandas pymo python python-language scikit-learn
Last synced: 15 Mar 2025
https://github.com/aryansingla45/sentiment-analysis
Sentiment Analysis Project on Twitter data
deep-learning jupyter-notebook keras logistic-regression machine-learning natural-language-processing numpy pandas python scikit-learn tensorflow
Last synced: 11 Apr 2026
https://github.com/tasninanika/k-means-clustering
An interactive and insightful customer segmentation project using K-Means Clustering.
matplotlib numpy pandas plotly python3 scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/xushiyan/udacity-machine-learning
Content for Udacity's Machine Learning curriculum
jupyter-notebook machine-learning numpy pandas python reinforcement-learning scikit-learn supervised-learning udacity-machine-learning unsupervised-learning
Last synced: 13 Apr 2026
https://github.com/rooneyrulz/movie-recommender-system
Movie recommendation system using Machine learning
cosine-similarity jupyer-notebook machine-learning movie-recomendation-system numpy pandas python3 recomender-system vectorization
Last synced: 11 Apr 2026
https://github.com/codeasarjun/_easy_machine_learning
This repo contains a comprehensive tutorial on machine learning with practical implementations and examples using Python.
artificial-intelligence clustering deep-learning jupyter-notebook machine-learning machine-learning-algorithms modelevaluation neural-network numpy pandas preprocessing python python3 regression scipy supervised-learning supervised-machine-learning unsupervised-learning unsupervised-machine-learning
Last synced: 13 Apr 2026
https://github.com/adityashinde716/liam-the-healthcare-chatbot
Made a healthcare chatbot Liam which will help you to detect your health problem and gives precautions.
csv numpy pandas python python3 random random-forest random-forest-classifier requests sklearn sklearn-library sklearn-model
Last synced: 05 May 2026
https://github.com/kaleharshavardhan07/spam_mail-_detector_ai_model
This project implements a spam detection system for SMS messages using machine learning techniques.
mathplotlib nltk numpy panda python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics
Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.
datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split
Last synced: 14 Apr 2026
https://github.com/shanmukhsrisaivedullapalli/cifar10
This project uses TensorFlow to classify images from the CIFAR-10 dataset. It compares the performance of an Artificial Neural Network (ANN) and a Convolutional Neural Network (CNN), covering data preprocessing, model training, evaluation, and prediction on new images.
cifar10-classification cnn-classification matplotlib neural-networks numpy pickle pillow python3 tensorflow
Last synced: 03 Feb 2026
https://github.com/epsoft/traffic
traffic
cv2 numpy os sklearn sys tensorflow traffic
Last synced: 11 Apr 2026
https://github.com/3rd-son/knn-breast-cancer-prediction-model-
A breast cancer prediction model using KNN with an accuracy of 96%
jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search
Last synced: 11 Apr 2026
https://github.com/gauravsakure02/pubg_win_prediction
Predicting PUBG game wins using a dataset involves analyzing various in-game features such as player kills, distance traveled, and weapons acquired to build a model that forecasts the likelihood of winning a match based on player performance, helping in winning game
matplotlib numpy pandas sklearn
Last synced: 29 Apr 2026
https://github.com/ladityagogoi/shadowguard
The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices
css flask html javascript joblib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/pacatro/lse2text
Deep learning program that translates Spanish Sign Language (LSE) to text in real time.
ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation
Last synced: 11 Apr 2026
https://github.com/tom-mohr/clevertable
Consistent, intelligent transformation of text-based tabular data into numerical data.
conversion data-science numpy pandas python
Last synced: 06 May 2026
https://github.com/aditya-ranjan1234/1stsem-el-dataset-analysis
Netflix Dataset Analysis
beginner matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/mdaiyub/covid-19-detection
The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are approximately five million confirmed cases and the novel virus is still spreading rapidly all over the world. The chest X-ray images along with emerging Artificial Intelligence (AI) methodologies, in particular, Deep Learning (DL) algorithms have recently become a worthy choice for early COVID-19 screening. This work proposes a DL-assisted automated method using X-ray images for the early diagnosis of COVID-19 infection. We evaluate the effectiveness of the pre-trained Convolutional Neural Network (CNN) model. The model has been validated on publicly available chest X-ray images and it is obtained by CNN with an accuracy of 97.26%. This study will be useful for researchers to think about the design of more effective CNN-based models for early COVID-19 detection.
backend early-stopping global keras matplotlib modelcheckpoint numpy os pandas tensorflow
Last synced: 02 Apr 2026
https://github.com/balaji24092001/python
All python related content: notes, problems, progress archive.
matplotlib numpy opencv pandas python3 scipy-stats seaborn sklearn sqllite
Last synced: 12 Apr 2026
https://github.com/tom474/rice_plant_disease_classification
[RMIT 2025A] COSC2753 - Machine Learning - Group Assignment
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 11 Jun 2025
https://github.com/harshita2234/breast-cancer-prediction
A machine learning project to predict breast cancer using logistic regression. This project includes data preprocessing, feature scaling, model training, and evaluation, based on a guided project from Coursera.
breast-cancer-prediction jupyter-notebook logistic-regression machine-learning matplotlib numpy pandas scikit-learn
Last synced: 12 Apr 2026
https://github.com/ashishtukaral/sign-language-recognition-using-ai
A real-time Sign Language Recognition system using AI to translate hand signs into text and speech, enhancing communication for individuals with hearing impairments. This web application leverages neural networks and computer vision to provide accurate and accessible translation.
ann classification cnn computer-vision deep-learning flask keras machine-learning matplotlib neural-network numpy oops opencv pandas python3 tensorflow
Last synced: 04 Feb 2026
https://github.com/nemeslaszlo/lending-club-analysis
Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.
binary-classification classification data-visualization keras matplotlib numpy pandas seaborn tensorflow
Last synced: 12 Apr 2026
https://github.com/m-faizan-mahmood/house-price-prediction-machine-learning-model
Implemented a Multiple Linear Regression model to predict house prices based on square footage, number of bedrooms, and age of the house.
artificial-intelligence data-analysis data-science data-visualization machine-learning machine-learning-algorithms matplotlib neural-network numpy pandas predictive-modeling python regression-models seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/codehass/facial-emotional-detection
Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
Last synced: 12 Apr 2026
https://github.com/satvikpraveen/fashionmnist-analysis
A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.
computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg
Last synced: 22 Apr 2025
https://github.com/nikita-data/eda_projects
Exploratory data analysis projects
cac data-analysis data-visualization eda folium-maps hypothesis-testing ltv math matplotlib numpy plotly python regular roi scipy seaborn segmentation statistics unit-economics
Last synced: 06 Jan 2026
https://github.com/moinak-majumdar/fake-currency-detection
Indian fake currency detecting mobile application.
cnn deep-learning flutter getx keras machine-learning mobile-app neural-network numpy random-forest scikit-learn support-vector-machines tensorflow
Last synced: 12 Apr 2026
https://github.com/ayuhamaro/py_weight_estimation
體重變化預估
matplotlib numpy pandas python3 scikit-learn scipy
Last synced: 12 Apr 2026
https://github.com/hamdaniqhmqd/kelompok6-sistem-cerdas-bbri
Repository group6-system-smart-bbri is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.
data-visualization numpy pandas python sklearn streamlit
Last synced: 03 Apr 2025
https://github.com/shreeyas-48/creditcardfrauddetection
Project for detecting credit card frauds using neural networks and logistic regression
autoencoder keras logistic-regression matplotlib neural-networks numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/antonio-f/building_a_recurrent_neural_network_step_by_step
Building a Recurrent Neural Network Step by Step
coursera deep-learning long-short-term-memory lstm numpy recurrent-neural-networks rnn step-by-step tutorial
Last synced: 30 Mar 2025
https://github.com/hugo-hattori/property_price_prediction_machine_learning
Machine Learning Project to create an AI capable of predicting property's rental prices.
ai-models artificial-intelligence joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot numpy pandas pathlib plotly plotly-express python seaborn sklearn sklearn-linear-model sklearn-metrics sklearn-models streamlit
Last synced: 12 Apr 2026
https://github.com/danhenriquex/data-science-project
The main goal of this project was to apply the concepts of data visualization and analysis.
data-analysis data-science numpy pandas python
Last synced: 12 Apr 2026
https://github.com/linggarm/smart-caloriemax
A web app that utilizes Genetic Algorithms to generate a list of foods offering maximum calorie content within a specified budget.
artificial-intelligence css evolutionary-algorithms flask genetic-algorithms html javascript knapsack-problem machine-learning numpy python
Last synced: 12 Apr 2026
https://github.com/esvs2202/credit-card-fraud-detection-system
This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.
azurewebapp flask gunicorn-web-server html-css machine-learning matplotlib-pyplot numpy pandas powerbi python3 randomforestclassifier seaborn
Last synced: 12 Apr 2026
https://github.com/ngirimana/ml_knn
Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.
artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon
Last synced: 12 Apr 2026
https://github.com/bunu23/image-classification-resnet50-streamlit
This project demonstrates an image classification system using ResNet50, fine-tuned on a custom dataset. It includes a Streamlit application for user interaction, allowing image uploads and classification results. It integrates Google's generative AI models for enhanced analysis.
cnn deep-learning generative-ai keras matplotlib numpy pillow python resnet-50 streamlit tensorflow
Last synced: 07 Apr 2026
https://github.com/shahinuralambhuiyan/learning-ml
Start learning Machine Learning basic from CodeBasics Channel
anaconda jupyter-notebook kaggle-dataset matplotlib numpy pandas pip python
Last synced: 12 Apr 2026
https://github.com/anish202020/weather_prediction_model_21int68_internship
Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.
keras-neural-networks keras-tensorflow matplotlib numpy pandas sklearn
Last synced: 12 Apr 2026
https://github.com/gracysapra/pandas-numpy-data-visualisation
This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.
data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn
Last synced: 07 May 2026
https://github.com/prashver/stock-price-prediction-lstm
Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), this project predicts Nestle India stock prices. The dataset spans from May 18, 2018 to May 20, 2022, and results are visualized using matplotlib.
keras lstm-model matplotlib numpy pandas recurrent-neural-network
Last synced: 12 Apr 2026
https://github.com/kavayk29/quora-duplicate-question-pair
This project improves information retrieval by detecting duplicate question pairs in the Quora dataset using data exploration, text preprocessing, feature engineering, and models like Random Forest and LSTM, aiming to streamline question-answering.
beautifulsoup4 bilstm gensim keras lstm matplotlib numpy pandas pytorch random-forest seaborn sklearn tensorflow xgboost
Last synced: 21 Jan 2026
https://github.com/dhruvsrikanth/pynn
Purely NumPy based API for building deep neural networks.
deep-learning deep-learning-framework machine-learning numpy python pytorch
Last synced: 09 May 2026
https://github.com/datarohit/nlp-course-files
The files in this Repo are files for the online NLP-Course from Udemy.com which I completed.
nlp nlp-machine-learning nltk numpy panda python sklearn spacy
Last synced: 12 Apr 2026
https://github.com/datarohit/imdb-reviews-sentiment-analysis
This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative.
bernoulli-naive-bayes classification count-vectorizer multinomial-naive-bayes nltk numpy pandas porter-stemmer regex sentiment-analysis sklearn
Last synced: 29 Apr 2026
https://github.com/datarohit/garbage-image-classification
This is Garbage Image Classification End-To-End Project built using Python and Streamlit.
cnn-classification cnn-keras inceptionv3 keras-tensorflow matplotlib numpy
Last synced: 30 Apr 2026
https://github.com/felixsoderstrom/perceptron-for-ocr
Training an AI model to recognize handwritten digits
ai backpropagation machine-learning neural-network numpy pytorch
Last synced: 23 Apr 2025
https://github.com/nomadsdev/pulse-detect
PulseDetect is a Python tool that detects audio frequencies in real-time. It captures sound from the microphone and identifies the dominant frequency using pyaudio and numpy
numpy pulse-detect pyaudio python scipy
Last synced: 07 Jan 2026
https://github.com/mohidex/analyze-movie-rating
Analyzing the distributions of IMDB and Metacritic movie ratings to see if we find anything interesting. To do this, first scrape data for over 2000 movies from imdb website.
beautifulsoup4 jupyter-notebook matplotlib numpy pandas python3 requests webscraping
Last synced: 20 Apr 2026
https://github.com/pranav-bot/ml-dl-models-from-scratch
This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations
deep-learning descion-tree from-scratch linear-regression logistic-regression machine-learning naive-bayes neural-networks numpy perceptron pytorch qlearning random-forest regression reinforcement-learning support-vector-machines svm
Last synced: 15 Apr 2026
https://github.com/iver56/cython-region-growing
A quick experiment: Region growing (AKA flood fill) algorithm implemented in Cython and Python
benchmark cython flood-fill numpy python region-growing
Last synced: 25 Apr 2026
https://github.com/zainashrafofficial/ml_project_2024
A machine learning semester project of university, implementing classification and regression models to predict house prices & number of rooms using a dataset with over 160,000 entries.
ai ann artificial-neural-networks classification decision-trees jupyter-notebook linear-regression logistic-regression matplotlib ml numpy pandas python random-forest regression-models svm tensorflow
Last synced: 13 Apr 2026
https://github.com/iBz-04/DiabetesCL
Predicting instances of diabetic & non-diabetic patients with Support vector machine classifier
data-science diabetes-prediction google-colab-notebook machine-learning machine-learning-projects medical-informatics numpy pandas-python python3 sckiit-learn svm-classifier
Last synced: 21 Oct 2025
https://github.com/nazli-d/binary-classification-using-cnn
This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.
binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow
Last synced: 13 Apr 2026
https://github.com/abtaaahi/smartxi
SmartXI — A Streamlit app to recommend football teams based on budget, formation, and style, plus predict player market values using machine learning models. Easy setup and interactive visualizations included.
machine-learning machine-learning-algorithms numpy pandas plotly python random-forest streamlit
Last synced: 13 Apr 2026
https://github.com/manjillama/machine-learning-101
Introduction to machine learning, conda environment, Jupyter Notebook, Pandas, NumPy and Matplotlib.
conda-environment jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/aryansingla45/image-classification-project
A Deep Learning Model which classifies Cats and Dogs.
artificial-neural-networks convolutional-neural-networks deep-learning keras machine-learning numpy pandas python tensorflow
Last synced: 13 Apr 2026
https://github.com/anandarauf/wifu-detection
Machine Learning Wifu Detection from Dataset Anime and Manga
anime data-science dicoding dicoding-submission machine-learning machinelearning manga numpy object-detection pandas pandas-python python3 sklearn tensorflow waifu waifu-detection
Last synced: 13 Apr 2026
https://github.com/epsoft/transfer-learning
Transfer Learning
numpy seaborn tensorflow transfer-learning
Last synced: 06 May 2026
https://github.com/aymen016/emotion-recognition-using-face-detection
A deep learning-based project that detects human faces and predicts their emotions in real-time using OpenCV and a trained neural network model.
gpu-acceleration haar-cascade-classifier keras-tensorflow matplotlib numpy opencv python
Last synced: 13 Apr 2026
https://github.com/vidhi1290/hr_employee_prediction
"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.
data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp
Last synced: 13 Apr 2026
https://github.com/aahad91/idv
Interactive Data Visualization - Master Course
matplotlib numpy pandas plotly python3
Last synced: 08 May 2026
https://github.com/otuemre/simplenet
A simple neural network framework built from scratch using Python and NumPy. Designed as a learning tool, SimpleNET includes essential layers, activation functions, and loss functions, enabling users to build and train basic neural networks from the ground up.
backpropagation deep-learning from-scratch machine-learning neural-network numpy python
Last synced: 13 Apr 2026
https://github.com/otivedani/hedge_hog
Histogram of Oriented Gradients, full numpy
feature-extraction histogram-of-oriented-gradients hog-features numpy
Last synced: 13 Apr 2026
https://github.com/tasninanika/k-nearest_neighbors
K-Nearest Neighbors (KNN) is a simple and powerful machine learning algorithm used for classification and regression.
knn matplotlib numpy pandas python3 seaborn
Last synced: 13 Apr 2026
https://github.com/pvlbzn/kot-or-not
Logistic regression (shallow neural network) which predicts whether input image is a cat or not.
classification-algorithm image-classification logistic-regression machine-learning neural-network numpy
Last synced: 01 Mar 2025
https://github.com/petitgrizzlies/metaheuristiques
Travaux pratiques de meta heuristique. Unige 2016-2017
cffi cpp golang heuristic-algorithm matplotlib numpy python35
Last synced: 13 Apr 2026
https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-
Can you predict soil parameters from hyperspectral earth observation data?
dee keras matplotlib neural-network numpy pandas seaborn
Last synced: 13 Apr 2026
https://github.com/muhammad-fiaz/gpt
A simple implementation based on the "Attention is All You Need" paper, using GPT-2 for text generation.
attention-is-all-you-need gpt gpt-2 gpt-3 gpt-implementation gpt-using-pytorch gpt2 numpy open-source paper-implementations python pytorch pytorch-implementation
Last synced: 13 Apr 2026
https://github.com/mahnoorsheikh16/Credit-Card-Default-Prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization
Last synced: 01 Mar 2025
