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An open API service indexing awesome lists of open source software.

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.

https://github.com/thedevreda/python

My Full Backup Packagaes & Files Guide for Python ๐Ÿ‘ทโ€โ™‚๏ธ

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 20 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/ankushmallick1100/Diabetes-Prediction-of-Females-using-Maching-Learning-Techniques

This is a machine learning project 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 , LRwith CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library. Paper is ongoing.

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: 29 Sep 2025

https://github.com/mithileshk11/steganography-app-aicte-internship-cybersecurity-edunet-foundation

Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.

hashlib numpy opencv3 python streamlit-webapp

Last synced: 28 Apr 2026

https://github.com/hamdaniqhmqd/sistem-cerdas

I use this repository for my storage, especially in the intelligent systems course in semester 3

matplotlib numpy pandas python streamlit

Last synced: 20 Apr 2026

https://github.com/patilni3/python_data_analysis

Important Tools and its Functions

excel matplotlib numpy pandas seaborn

Last synced: 28 Apr 2026

https://github.com/ngirimana/decision-trees-and-random-forest-

For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).

artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn

Last synced: 11 Apr 2026

https://github.com/epsoft/ner

NER

ner numpy pandas

Last synced: 04 May 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/mtgsoftworks/blink-detecion-player

It is a software that has the ability to stop and play the videos watched on youtube and rewind when the eyes of this software are closed and opened.

dlib numpy opencv-python python3 scipy selenium-webdriver

Last synced: 13 Apr 2026

https://github.com/akash-rajak/image-noise-remover

Python Script to remove noise from image.

cv2 image-noise-remover numpy os python3 random tkinter

Last synced: 28 Apr 2026

https://github.com/sergio11/breast_cancer_diagnosis_mlp

๐Ÿฉบ๐Ÿ”ฌ MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. ๐Ÿ“Š๐Ÿค–

deep-learning deep-neural-networks machine-learning mlp-classifier mlp-networks numpy sklearn sklearn-classify

Last synced: 21 Feb 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/tynoee/movies-data-anlysis

This project explores a dataset of movies sourced from IMDb (via Kaggle) to uncover trends and insights about movie production, popularity, ratings, and more.

jupyter-notebook kaggle-dataset matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/lolosoares/dataanalises

This repository shows my projects made in my journey learning about data analises, ciency, engeniering and ML.

acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba

Last synced: 10 Apr 2026

https://github.com/kientech/calories-burnt-prediction-with-machine-learning

The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.

fastapi heroku machine-learning matplotlib-pyplot modeling numpy pandas python reactjs tailwindcss

Last synced: 02 Aug 2025

https://github.com/amir78729/cv2-video-art

Creating an image from an input video's frames

cv2 numpy pil python video

Last synced: 11 May 2026

https://github.com/vitroid/tilecycles

Tessellate a graph into cycles.

genice2 graph numpy tiling

Last synced: 27 Feb 2025

https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn

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/salmandeveloperz/ml_house_prediction

project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.

classification-model clustering deep-learning machine-learning matplotlib numpy pandas python3 regression-models scikit-learn

Last synced: 10 Apr 2026

https://github.com/prodev717/neurogen

A simple Python library to build and train deep neural networks (SLP and MLP). It includes functions for forward propagation, backpropagation, loss calculation, and model saving/loading.

ai backpropagation deep-learning machine-learning mlp neural-networks numpy python slp

Last synced: 30 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/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/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/sahajrajmalla/co2-calculator-api

A Web Application backend API that enables people to create events, join events, and measure the carbon footprint produced by each participant to get insights about online and onsite carbon emissions.

apis carbon-emissions carbon-footprint fastapi makefile numpy pandas precommit sqlalchemy sqlite3 uvicorn

Last synced: 09 Apr 2026

https://github.com/rickymagner/nonlinear-gradient-descent

An example of using gradient descent to approximate noisy data sampled from a cubic curve.

matlab matplotlib numpy octave pandas python

Last synced: 09 Apr 2026

https://github.com/hklyousfi/cyberxnoteloom

Hybrid piano synthesizer with ADSR envelopes, resonance modeling, and MIDI renderingโ€‹

adsr-envelope digital-audio hybrid-synth midi-processor numpy piano-synthesizer python

Last synced: 30 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/htlinh0604/invoice-data-extraction

This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bรกch Hรณa Xanh)..

flask numpy ocr-recognition opencv pandas python regex tesseract-ocr

Last synced: 10 Nov 2025

https://github.com/ZauJulio/FeaturesAnalyzer

Python data analyze and machine learning tool

gtk machine-learning numpy pandas python sklearn

Last synced: 10 Aug 2025

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/zazi2002/neuroscience-reinforcement-learning

Neuroscience of Learning, Memory, Cognition project, containing a Jupyter notebook implementing a reinforcement learning approach for a neuroscience-related task.

deep-learning matplotlib numpy pytorch reinforcement-learning

Last synced: 30 Apr 2026

https://github.com/louis-finegan/convection-diffusion-models-finite-difference-method-python3

Applying the finite-difference method to the Convection Diffusion equation in python3. Examples included: One dimensional Heat equation, Transport equation, Fokker-Plank equation and some two dimensional examples.

convection-diffusion finite-difference-method fokker-planck-equation heat-equation jupyter-notebook mathematical-modelling matplotlib matplotlib-animation numpy python3 transport-equation

Last synced: 02 Aug 2025

https://github.com/zazi2002/neuroscience-project-cnn

This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.

cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing

Last synced: 09 May 2026

https://github.com/parmeetbhamrah/air-quality-india-analysis

Exploratory data analysis of real-time air quality data from Indian cities using Python, Pandas, Matplotlib, and Seaborn.

air-quality data-analysis eda exploratory-data-analysis government-data india matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/dulajkavinda/live-sketching

โœ๏ธ Converting live video stream from webcam into a sketch using OpenVC and Keras

added image-filtering keras machinelearning matplotlib numpy opencv python

Last synced: 10 Apr 2026

https://github.com/shivendrra/Seeker

This project will help to write new scripts for YouTube videos from scratch using fine-tuned Llama-7B

ai artificial-intelligence finetuning google-custom-search-api google-custom-search-engine llama2 llm numpy pandas python pytorch react-native reactjs transformers youtube-api

Last synced: 30 Dec 2025

https://github.com/rahulvictor12/the-movie-database-data-scrapper

A Python web scraper that collects movie data from The Movie Database (TMDB). It uses `requests`, `BeautifulSoup`, and `pandas` to extract titles, ratings, genres, and cast details from multiple pages. The data is structured into DataFrames and saved as a CSV, perfect for analysis or integration into projects.

beautifulsoup colab-notebook dataframes numpy pandas python requests testing webscraping

Last synced: 11 Apr 2026

https://github.com/khaymanii/big_mart_prediction_model

This model was built using Python and Logistic Regression Algorithm

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 01 May 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/mgobeaalcoba/matplotlib_y_seaborn

Aquรญ dejarรฉ trabajos de visualizaciรณn realizados con ambas librerรญas de Python.

data-analysis data-science data-visualization dataset matplotlib numpy pandas python seaborn

Last synced: 13 Apr 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.๐Ÿฉบ

heart-disease-prediction heart-disease-predictor kaggle-dataset machine-learning numpy pandas python scikit-learn

Last synced: 01 May 2026

https://github.com/suraj-sedai/lstm-deep-learning

A step-by-step guide to mastering sequence prediction using TensorFlow and LSTM. This repository covers everything from basic linear predictions to advanced multi-step forecasting, many-to-many LSTM models, and real-world applications like stock price forecasting and sales prediction.

lstm-neural-networks lstm-sentiment-analysis numpy pandas python sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/amorehead/ml-fundamentals

A self-educational series of Python scripts made to explore the vast library of machine learning knowledge.

machine-learning numpy pandas python scipy sentdex tensorflow tflearn

Last synced: 13 Apr 2026

https://github.com/rvats20/python-programming-basic

Python programing basic to develop robust python applications.

data-science eda learning learning-by-doing matplotlib-python numpy pandas python

Last synced: 02 May 2026

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/khaymanii/wine-quality-prediction-model

This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 09 Apr 2026

https://github.com/oguzhansarigol/expected-goals-xg-data-analysis

We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.

data-analysis-python expected-goals numpy pandas-python python

Last synced: 02 May 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/madhuresh2011/telco-customer-churn-analysis-using-python

The analysis primarily investigates factors influencing customer churn, particularly focusing on payment methods and contract types.

csv data-analysis matplotlib numpy pandas pyhton seaborn vizualisation

Last synced: 02 May 2026

https://github.com/pratishtha-abrol/principlecomponentanalysis

Principle Component Analysis with Numpy and Python

numpy principal-component-analysis python

Last synced: 03 May 2026

https://github.com/harshitwaldia/stock-price-prediction

An AI-driven stock market analysis dashboard that predicts next-day stock prices using a deep learning LSTM model. The project features: ๐Ÿ”ฎ AI Predictions for stock movements ๐ŸŒ Global market support (US, India, China, Japan, UK) ๐Ÿ“Š Interactive React dashboard with charts & recent searches โšก Flask backend powered by Tensor/Keras & Yahoo Finance

dashboard flask flask-cors keras-tensorflow lstm-neural-networks machine-learning numpy react-typescript scikit-learn stock-price-prediction

Last synced: 03 May 2026

https://github.com/harizonelopez/face-detector

This project is a real-time face detection application using OpenCV's deep learning-based face detector. It captures faces from a webcam feed, detects faces with high accuracy using a pre-trained Caffe model, and saves the detected faces as image files labeled with the user's name.

cdn dnn numpy opencv python3

Last synced: 03 May 2026

https://github.com/mhmudfzli/exploring-mental-health-data

This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance

catboost lightgbm matplotlib numpy pandas scikit-learn seaborn xgboost

Last synced: 09 Apr 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/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/mothnik/robust_fourier

Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba

chebyshev-polynomials fourier-transform hermite-functions hermite-polynomials least-square-regression logsumexp numba numpy python robust-statistics

Last synced: 04 Jan 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/itzzmeakhi/investigate-tmdb-dataset

Tmdb dataset is taken to perform analysis. Messy data is cleaned by performing many steps like dropping null values and rising values and analyzing correlation among them using visualization techniques using matplotlib and seaboarn to derive the answers that i imposed during the early stages of analysis.

csv matplotlib numpy pandas python3 seaborn

Last synced: 03 May 2026

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/muralisuvvani/airbnb-exploratory-analysis

Exploratory Data Analysis (EDA) on Airbnb NYC dataset to uncover trends, patterns, and insights. Data cleaning and visualization of Airbnb listings in New York City. Analyzing Airbnb NYC 2019 dataset using Python (Pandas, Numpy, Matplotlib, Seaborn)

analytics data-visualization exploratory-data-analysis numpy pandas python3

Last synced: 04 May 2026

https://github.com/mrtarantoga/mdl-density-histogram

Cython-accelerated MDL histogram density estimation. Implements Kontkanen & Myllymaki's dynamic programming algorithm for optimal variable-width bins, parametric complexity with Ramanujan approximations, and automatic bin count selection. Based on "MDL Histogram Density Estimation" (JMLR 2007).

cython-library mdl numpy pypi-package python3

Last synced: 30 Nov 2025

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/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/priyanka7411/customer-churn-prediction

Customer Churn Prediction using machine learning. This project covers the full data science lifecycleโ€”data cleaning, exploratory analysis, feature engineering, model building, and extracting actionable business insights.

jupyter-notebook model numpy pandas python random-forest-classifier scikit-learn-matplotlib-seaborn

Last synced: 04 May 2026

https://github.com/ahlem-phantom/django-travel-agency

Travel Agency website built using Django, designed for browsing and booking of travel packages.

beautifulsoup celery djagno django-rest-framework numpy rabbitmq weasyprint

Last synced: 02 Aug 2025

https://github.com/pinedah/escom_programming-for-data-science

This repository contains personal notes, exercises, and programs from the Programming for Data Science course at Instituto Politรฉcnico Nacional (IPN). The course focuses on using Python programming for data handling, statistical analysis, and machine learning techniques.

data-science escom matplotlib numpy pandas python python-algorithms python-library

Last synced: 04 May 2026

https://github.com/heisenberg141/probability-based-boundary-detection

This Repository consists of implementation of probability based boundary detection algorithm which gives more accurate results than canny edge detection.

boundary-detection canny-edge-detection computer-vision edge-detection gabor-filters gaussian-filters image-gradients image-processing kmeans-clustering lm-filters numpy opencv python3 sobel-filter texton-maps

Last synced: 04 May 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/docsallover/spam-detection

Building a Spam Filter with Python: Using Machine Learning to Combat Spam

datascience flask jinja2 machine-learning numpy numpy-library pandas pandas-python python python3 scikit-learn

Last synced: 09 Apr 2026

https://github.com/megha060199/academic-erp

Python, SQL, Javascript

mysql numpy python

Last synced: 04 May 2026

https://github.com/raduldev/gromacs

Molecular Dynamics Simulation using GROMACS in Jupyter notebook

bash gromacs matplotlib molecular-dynamics-simulation numpy pandas python3 shell

Last synced: 09 Apr 2026

https://github.com/himel-sarder/complete-numpy

A comprehensive guide to mastering NumPy with practical examples and applications in machine learning. Perfect for learners and developers looking to deepen their knowledge of numerical computations in Python.

data-science dataanalysis machine-learning ml numpy numpy-exercises numpy-library numpy-python numpy-tutorial pythonlibrarires

Last synced: 04 May 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/shreeparab1890/movie-recommender-system

This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.

bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization

Last synced: 09 Apr 2026

https://github.com/quinta0/pycolors

A python program to help people with color blindness recognize color in an image

colorblindness colors image-processing numpy pandas-dataframe python tkinter-gui

Last synced: 05 May 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

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