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/dpgitaccount/file-handling-data-analytics-toolkits
In this repo File handling, Inventory management system and data toolkits resources are provided these are essential for managing, storing, and manipulating data in various formats, such as JSON files. JSON (JavaScript Object Notation), is widely used for data exchange due to its simplicity and readability. also File Handling included in this repo.
filehandling inventory-management json jupyter-notebook numpy os
Last synced: 13 Apr 2026
https://github.com/armahdavi/unsupervised-clustering-ml---pm_source_detection-indoor-air
Indoor PM2.5 source detection algorithm using unsupervised clustering ML method (k-means clustering)
climate-data dbscan dbscan-clustering jupyter-notebook kmeans kmeans-clustering matplotlib-pyplot numpy pandas pca python signal-processing spyder-python-ide tsne
Last synced: 06 May 2026
https://github.com/fsubject/rotating-cube
Rotating Cube is a 3D engine made from scratch
3d 3d-engine 3d-graphics from-scratch numpy pygame python
Last synced: 31 Jan 2026
https://github.com/asim-2000/machine-learning-projects-in-python
ensemble-model machine-learning matplotlib numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/adalbertobrant/macd
Estudando sobre o uso do streamlit com geração de gráficos e dados da B3
bovespa box-plot golden-cross macd numpy python single-moving-average steamlit stocks
Last synced: 07 Feb 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/swamikannan/neural-network-from-scratch-numpy
Creating a basic NN from scratch to detect numbers from the MNIST dataset using Numpy
ann backpropagation-neural-network backpropogation deep-learning matplotlib-pyplot mnist-classification neural-networks-from-scratch numpy
Last synced: 10 May 2026
https://github.com/hansalemaos/permutation_no_repetition
Permutation without repetition - written in Cython - for Numpy
cython data-science no-repetitions numpy pandas permutations
Last synced: 14 Jan 2026
https://github.com/gaurangdave/house_price_predictions
Machine Learning Application to predict House Prices
hands-on learning-by-doing machine-learning numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/marksikaundi/30daysofdeeplearning
This challenge is designed to help you build a strong foundation in Python programming and deep learning over the course of 30 days. By the end of this challenge, you will have developed a comprehensive understanding of deep learning concepts.
data-science nlp numpy python pytorch tensorflow
Last synced: 04 Apr 2026
https://github.com/narenkhatwani/arkouda-projects
This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)
arkouda data-analysis data-analytics data-science high-performance high-performance-computing highperformancecomputing numpy pandas parallel-computing parallel-processing parallelization python
Last synced: 17 Apr 2026
https://github.com/gitfrandu4/40982-p1
Repositorio de la Práctica 1 en Visión por Computador, explorando el uso de OpenCV para crear imágenes artísticas, manipular píxeles y capturar video. Incluye ejercicios como diseño de un tablero de ajedrez, estilo Mondrian, y un efecto “Pop Art” con la cámara web.
computer-vision image-processing mondrian-style numpy opencv pop-art python visual-art webcam-capture
Last synced: 09 Apr 2026
https://github.com/realtristan/micronet
Neural network library from scratch
neural-networks numpy python pytorch
Last synced: 03 May 2026
https://github.com/sjtechdev/fastgrouper
Fast groupby-apply operations in python.
computational groupby groupby-apply groupby-function groupby-method groupby-transformation groupbykey grouping grouping-operations numpy pandas python python3
Last synced: 10 May 2026
https://github.com/heisenberg141/deep-learning-from-scratch
In this repository, I have showcased implementation of deep learning methodologies and architectures using Python and Numpy
algorithms binary-classification computer-vision data-science deep-learning deep-neural-networks implementation machine-learning multi-class-classification neural-network numpy python regression-models
Last synced: 10 May 2026
https://github.com/SudipBishwakarma/Bulk-Remove-OneSignal-Users
Bulk remove OneSignal subscribed users blazingly faster with parallel processing.
numpy pandas python python-logger python-multiprocessing python-threading python3
Last synced: 31 Mar 2025
https://github.com/hayatiyrtgl/data_analysis_project
Financial data analysis: preprocess, visualize, calculate technical indicators.
data-analysis data-analysis-python data-science dataframe numpy pandas python python3 stock-price-prediction talib trade-analysis
Last synced: 04 Apr 2026
https://github.com/abhishek010397/logisticregression
Using Logistic Regression Classifier to Predict Target Using Three Features
csv iloc logistic-regression machine-learning numpy pandas-dataframe python3 sigmoid-function sklearn
Last synced: 06 May 2026
https://github.com/dhruv-26/parkease-pro
ParkEase Pro is an AI-powered smart parking system built with Python, OpenCV, MySQL, and ANPR technology. It automatically calculates parking fees, tracks entry-exit times, and detects empty spots using AI for real-time monitoring.
automatic-number-plate-recognition computer-vision easyocr multiprocessing numpy opencv pickle pil python sql tkinter-gui
Last synced: 09 Jun 2026
https://github.com/mnitin-reddy/anomaly-detection-in-server-networks
This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies
anamoly data-science machine-learning matplotlib numpy pyhton seaborn
Last synced: 19 Apr 2026
https://github.com/anvesham/machinelearning_models_using_matlab
Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers
bagging-ensemble bayesian-optimization decision-trees jupyter-notebook machine-learning matlab multiple-linear-regression-model numpy python random-forest-regression
Last synced: 11 Apr 2026
https://github.com/mirseo/pandas_learning
pandas_learning
data-analysis data-analysis-python data-science data-visualization numpy numpy-example pandas pd python python-3 python3
Last synced: 03 May 2026
https://github.com/guiferviz/happyml
Machine Learning Python library for academic purposes.
deep-learning deep-neural-networks learning machine-learning machine-learning-algorithms neural-network neural-networks numpy
Last synced: 03 May 2026
https://github.com/lostvikx/fintech-pg
Files related to my FinTech course
analytics data-analysis data-science data-visualization finance fundamental-analysis numpy pandas python technical-analysis
Last synced: 14 Apr 2026
https://github.com/animesh-ghosh/summer-training
Work done during Summer Training with OSAHub.
anaconda jupyter-notebook machine-learning numpy pandas python3 scikit-learn
Last synced: 12 Apr 2026
https://github.com/affromero/pixelcache
A versatile image processing library for Python with built-in support for caching, using Pillow, NumPy, and PyTorch.
image-processing numpy opencv pillow pytorch torchvision
Last synced: 07 May 2026
https://github.com/prashver/titanic-survival-prediction
This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.
classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
Last synced: 02 May 2026
https://github.com/asut00/machine-learning-program_42ai
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 07 May 2026
https://github.com/ankushmallick1100/diabetes-prediction-of-females-using-maching-learning-techniques
This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
Last synced: 04 Apr 2026
https://github.com/rishabhmathur06/imagecompressor-using-cnn
cnn computer machine-learning numpy tensorflow
Last synced: 15 Apr 2026
https://github.com/salmandeveloperz/student-performance-prediction-and-grade-classification
A Machine Learning Project that predicts student grade and performance from a Dataset. Copule of Libraries are used for data pre-processing, training model, heatmaps, trees and other Algorithms.
ann classification machine-learning metplotlib numpy pandas regression-models skilearn supervised-learning tensorflow unsupervised-learning
Last synced: 20 Apr 2026
https://github.com/dhairyac/student-performance-analysis
Analyze and visualize features affecting student performance
decision-tree-classifier logistic-regression matplotlib numpy pandas random-forest-classifier scikit-learn seaborn
Last synced: 07 May 2026
https://github.com/rajharit77/weather-project
Repository for exam on the openweathermap api's project
apache-airflow dataframe jupyter-notebook looker-studio matplotlib numpy openweathermap-api pandas python
Last synced: 02 May 2026
https://github.com/serhatderya/tabular-playground-series
This repository contains solutions of monthly Tabular Playground Series in Kaggle.
ai artificial-intelligence data data-preprocessing data-processing data-science data-visualization jupyter-notebook kaggle machine-learning numpy pandas python regression scikit-learn scikitlearn-machine-learning seaborn software statsmodels
Last synced: 11 Apr 2026
https://github.com/back2matching/turboquant-vectors
Compress embeddings 6x instantly with TurboQuant. First pip package using Google's TurboQuant (ICLR 2026) for vector search. 71.9% recall vs FAISS PQ 13.3%.
compression embeddings faiss machine-learning numpy quantization rag turboquant vector-search
Last synced: 08 Jun 2026
https://github.com/joshi-jyoti/heart-disease-prediction
This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.🩺
heart-disease-prediction heart-disease-predictor kaggle-dataset machine-learning numpy pandas python scikit-learn
Last synced: 01 May 2026
https://github.com/faisal-khann/diwali-sales-analysis
The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future
csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/platonn/comp-photography
Computational Photography course - University of Wroclaw
computational-photography image-processing numpy university-course
Last synced: 19 Jun 2026
https://github.com/miroslav-reiter/kurz_ako_sa_stat_datovym_analytikom_python
🐍 Ako sa stať Dátovým ANALYTIKom v Pythone - Materiály, zdroje, skripty k večernému online školeniu Ako sa stať Dátovým Analytikom v Pythone pre Robime.it (Mentor Partners)
analysts analytics data-science math matplotlib numpy pandas python reiter scipy vizualisation
Last synced: 04 Apr 2026
https://github.com/rkarahul/data_science_project_2023
machine-learning matplotlib numpy pandas python sckit-learn seborn
Last synced: 20 Apr 2026
https://github.com/abideen-olawuwo/image-classification
Multi Class Image Classification Problem
classification deep-learning image-classification machine-learning matplotlib numpy pandas tensorflow transfer-learning
Last synced: 19 Apr 2026
https://github.com/ashar97/financial-engineering
Financial Engineering Practicum Assignments
financial-engineering matlab numpy pandas python r yahoo-finance
Last synced: 11 Apr 2026
https://github.com/snehilsanyal/ee524
Course webpage for IIT Guwahati EE524 Machine Learning Lab (Jul-Nov 2020) Session
course-webpage machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 01 May 2026
https://github.com/hanzopgp/lstmcryptopriceprediction
TensorFlow LSTM neural networks which predict cryptocurrencies future prices. Starting from Sentdex's tutorial.
artificial-intelligence deep-learning lstm-neural-networks machine-learning matplotlib numpy personal recurrent-neural-networks tensorflow
Last synced: 11 May 2026
https://github.com/ayaanjawaid/brain_stroke_prediction
project aims to predict the likelihood of a stroke based on various health parameters using machine learning models. The dataset is preprocessed, analyzed, and multiple models are trained to achieve the best prediction accuracy.
decision-trees exploratory-data-analysis matplotlib numpy pandas python regression xgboost
Last synced: 07 May 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/amirdh17/reading-device-for-visually-impaired
This device looks like reading stand which can take photo of the book and read out for visually impaired person. Raspberry Pi 4 is used as controller. Major Python modules used are Pytesseract, OpenCV and Pytts.
autocorrect image-processing nlp numpy opencv-python pillow portable pytesseract-ocr python3 pyttsx3 raspberry-pi-3 skimage thonny
Last synced: 12 Feb 2026
https://github.com/savernish/forgenn
forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.
artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors
Last synced: 08 Oct 2025
https://github.com/torahappy/takasa
OpenStreetMap 高低差を考えた最短(?)経路問題ソルバー
numpy openstreetmap scipy shortest-path
Last synced: 30 Apr 2026
https://github.com/akashash01/akash_linear-regression
This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).
anova-test autocorrelation data-science heteroscedasticity linear-regression machine-learning mape multicollinearity numpy pandas python supervised-learning
Last synced: 07 May 2026
https://github.com/mrhashemi/optimizers
Python implemntation of Conjugate Gradient method and Adam, and Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimizers from scratch.
adam-optimizer bfgs conjugate-gradient numpy optimizer scipy
Last synced: 30 Apr 2026
https://github.com/lasithaamarasinghe/face-recognition
This project demonstrates a basic face recognition system using Python, OpenCV, and the face_recognition library.
cmake computer-vision dlib face-recognition numpy opencv python visualstudiocode
Last synced: 16 Apr 2026
https://github.com/sudipbishwakarma/bulk-remove-onesignal-users
Bulk remove OneSignal subscribed users blazingly faster with parallel processing.
numpy pandas python python-logger python-multiprocessing python-threading python3
Last synced: 07 May 2026
https://github.com/hklyousfi/cyberxnoteloom
Hybrid piano synthesizer with ADSR envelopes, resonance modeling, and MIDI rendering
adsr-envelope digital-audio hybrid-synth midi-processor numpy piano-synthesizer python
Last synced: 30 Apr 2026
https://github.com/sakshisrivastava-2601/credit-card-fraud-detection
Credit Card Fraud Detection Project Using Machine Learning. This project focuses on leveraging advanced Machine learning techniques to identify fraudulent transactions with high accuracy.
advanced-machine data machine-learning numpy project-repository python pytorch random-forest
Last synced: 16 Apr 2026
https://github.com/m-aadhi/game-review-sentiment-analysis
This project aims to analyze and predict the sentiment of game reviews using natural language processing (NLP) and machine learning techniques. The objective is to determine whether a review is positive, negative, or neutral based on its content.
matplotlib numpy pandas-library python
Last synced: 19 Jun 2026
https://github.com/arjunan-k/netflix_analysis
Exploratory Data Analysis on Netflix Movies & TV Shows.
matplotlib numpy pandas plotly seaborn
Last synced: 09 May 2026
https://github.com/rakibhhridoy/exploratorydataanalysis-python
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
ab-testing chitest data-science eda exploratory-data-analysis ftest hypotheses hypothesis-testing inferential-statistics numpy pandas python statistical-analysis statistics statsmodels ttest
Last synced: 30 Apr 2026
https://github.com/bielstela/connect-four
Numpy implementation of the game connect four (AKA four in a row)
game-2d numpy numpy-exercises python
Last synced: 19 Apr 2026
https://github.com/li-plus/tinynn
An educational PyTorch-like neural network framework based on NumPy
autograd deep-learning machine-learning neural-network numpy python
Last synced: 30 Apr 2026
https://github.com/camilajaviera91/apache-beam-pipeline-first-approach
This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.
apache-beam dataframes glob kmeans-clustering matplotlib-pyplot mean-absolute-error mean-square-error numpy os pandas pipelines scipy-stats seaborn silhouette-score sklearn sklearn-datasets standardscaler
Last synced: 28 Apr 2026
https://github.com/yash22222/sync-intern-s-ml-tasks
SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.
bhpp boston-house-datasets boston-house-price-prediction boston-house-pricing data data-structures machine-learning machine-learning-algorithms numpy pandas sync-intern sync-interns
Last synced: 07 May 2026
https://github.com/mihirh19/python
a repository for collaborative development and version control using Git that houses Python code files, documentation, tests, and other project-related files.
algorithms data-structures django fastapi flask machine-learning numpy pandas python
Last synced: 11 Apr 2026
https://github.com/rhazra-003/sketcher
A simple python code to make sketch out of any given photo using opencv and numpy
Last synced: 11 May 2026
https://github.com/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
agent evolutionary-algorithms game game-solution genetic-algorithm genetic-algorithms gym neural-network numpy numpy-arrays pygame python stable-baselines3
Last synced: 11 May 2026
https://github.com/guilhermebit/movie-suggestions-using-k-nearest-neighbors
This project implements a movie recommendation system using the K-Nearest Neighbors (KNN) machine learning algorithm.
algorithms data-science euclidean-distance knn machine-learning matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/hansalemaos/numpycythonpermutations
Permutations, Combinations and Product for Numpy - written in Cython - 20x faster than itertools
c combinations cython fast itertools numpy permutations product python
Last synced: 08 May 2026
https://github.com/henriqueotogami/curso-de-python3-udemy
Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.
iris-dataset jupyter-notebook linear-regression numpy pandas-python python3 udemy
Last synced: 08 May 2026
https://github.com/ul-mds/gecko-data
Example data sources as a starting point for working with Gecko
data-science numpy pandas python record-linkage
Last synced: 16 Apr 2026
https://github.com/srujayreddy/selling-laptops
Predicting whether users will click on a promotional email for laptops based on historical user data and browsing logs.
customer-behavior-analysis feature-engineering logistic-regression machine-learning marketing-analytics numpy pandas predictive-modeling scikit-learn
Last synced: 12 Apr 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/hernandemonteiro/host_national_search_2015
Análise Estatística da Pesquisa Nacional por Amostra de Domicílios
colab-notebook matplotlib numpy pandas pnad python3 pythonnotebook seaborn
Last synced: 29 Apr 2026
https://github.com/kishore-sr/creditworthy
AI-powered web app built at "Codeathon 2024" IIIT Bangalore
clerk-auth node-js numpy pandas python reactjs streamlit
Last synced: 11 Apr 2026
https://github.com/wrighang/shipping-data-analysis
Independent Project: Transit time trends analysis following a major shipping process change.
data-analysis matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/nirmalvatsyayan/data-analyst-nanodegree
Udacity data analyst nanodegree project submissions and learning
data-analysis numpy pandas python statistics udacity-data-analyst-nanodegree
Last synced: 12 Apr 2026
https://github.com/mohamedawnallah/covid19-dataanalysis-python
how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
covid19 dataanalysis datavisualization happiness-report jupyternotebook numpy pandas python
Last synced: 08 May 2026
https://github.com/listiangr/play_tennis_classification
This project analyzes weather data to predict whether a person will play tennis or not. The main goal is to make accurate predictions based on factors such as weather, temperature, humidity, and wind.
classification flask html-css jupyter-notebook kaggle-dataset naive-bayes numpy pandas pickle play-tennis python sklearn
Last synced: 11 Apr 2026
https://github.com/v-mayya/python-sales-data-analysis
Group project with another team member held by CFG to conduct spreadsheet data analysis of fake sales data using Python
analysis data matplotlib numpy python
Last synced: 29 Apr 2026
https://github.com/alicankaya192/deep_learning_path
Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.
artificial-intelligence cnn data-science deep-learning gan jupyter-notebook lstm machine-learning neural-networks numpy python pytorch rnn tensorflow transformer
Last synced: 21 Jun 2026
https://github.com/toby-sanders-101/mydigits
Everything needed to create a AI bot that can read images
deep-neural-networks image-classification matplotlib numpy opencv pyautogui python
Last synced: 08 May 2026
https://github.com/jesussantana/ibm-python-for-data-science-py0101en
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.
data-science numpy pandas python
Last synced: 08 May 2026
https://github.com/cchandre/kh
Kramers-Henneberger reductions of Hamiltonian dynamics
amo attosecond-physics averaging hamiltonian kramers-henneberger matlab numpy schrodinger-equation strong-field-ionization tdse
Last synced: 29 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/brenofariasdasilva/scientific-research
My Scientific Research Code Repository.
ck code-metrics commons-lang jabref matplotlib numpy pandas pydriller python scientific-research scikit-learn similarity-measures statistical-analysis wem word2vec worked-example worked-example-miner
Last synced: 16 Apr 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/imswappy/ads-eda-predictor
Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.
adf breusch-pagan cointegration lasso-regression linear-regression matplotlib-pyplot numpy pandas random-forest ridge-regression seaborn sklearn
Last synced: 02 May 2026
https://github.com/moataz-elmesmary/analog-clock-opencv
Computer vision project implemented with OpenCV
computer-vision cv2 numpy opencv
Last synced: 07 May 2026
https://github.com/dadadel/multilayerperceptron
Multi Layer Perceptron
multilayer-perceptron neural-network numpy python3
Last synced: 08 May 2026
https://github.com/arkapg211002/data-analysis-prac
Data analysis practice
excel matplotlib-pyplot numpy pandas powerbi tableau
Last synced: 29 Apr 2026