NumPy | Ecosyste.ms: Awesome

https://github.com/hanzopgp/transformerneuralnetwork

Building a transformer with Keras and TensorFlow following tutorial.

artificial-intelligence deep-learning jupyter-notebook machine-learning natural-language-processing numpy personal transformer

Last synced: 08 May 2026

https://github.com/egrizq/bike_analysis

Exploring the bike sharing system to find the patterns behind user behavior by weather, season, hour, and months.

data-science matplot numpy python seaborn

Last synced: 08 May 2026

https://github.com/juanpablo70/pgad-assignment01

Breast Cancer Coimbra data set analysis

data data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python

Last synced: 08 May 2026

https://github.com/cbmira01/featureranking

A data science technique implemented in OpenCL.

data-science entropy feature-reduction machine-learning-algorithms numpy opencl pyopencl python windows-10

Last synced: 08 May 2026

https://github.com/samaalharbi2/100-days-of-code

This repository is a collection of 100 Python projects built as part of the "100 Days of Code: Python Developer Challenge" course.

data-science game-development machine-learning numpy pandas python udemy

Last synced: 08 May 2026

https://github.com/chdl17/credit-eda-casestudy

Credit EDA is a GitHub repository designed to provide educational materials and tools for exploring credit risk data. The repository contains notebooks, datasets, and code samples to help users learn and apply these concepts to credit data.

exploratory-data-analysis numpy pandas

Last synced: 08 May 2026

https://github.com/mzayles/analise-descritiva.py

Curso Programação em Python para Data Science | Análise descritiva e mensuramento de dados de um report consolidado utilizando matplotlib.

matplotlib numpy pandas python

Last synced: 08 May 2026

https://github.com/ditikrushna/identify-customer-segments

In this project, Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. I have looked at relationships between demographics features, organized the population into clusters, and saw how prevalent customers are in each of the segments obtained.

clustering clustering-algorithm numpy pca

Last synced: 08 May 2026

https://github.com/shingiraibhengesa/house-price-predictor

A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.

machine-learning-models matplotlib numpy python scikit-learn seaborn

Last synced: 09 May 2026

https://github.com/alejandrolara11/data-preprocessing

Data preprocessing through the use of the libraries NumPy and pandas.

data-analysis data-cleaning data-preprocessing numpy pandas python

Last synced: 09 May 2026

https://github.com/jupfu/beck-view-digitalize

Digitalize 16mm films with Python & reactivex & FT232H

cython ft232h libpng multiprocessing numpy opencv python3 reactivex um232h

Last synced: 09 May 2026

https://github.com/dhruvv1402/x-twitter-bot-python

A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.

huggingface-transformers matplotlib nltk numpy pandas pillow python requests schedule textblob threading tweepy twitter-api wordcloud

Last synced: 09 May 2026

https://github.com/aliyahscoding/tiny-recommender

Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.

collaborative-filtering cosine-similarity numpy pandas python recommender-system

Last synced: 09 May 2026

https://github.com/rosemol-jose/noisy-sparse-phase-retrieval-using-thresholded-wirtinger-flow-algorithm

Implementing and evaluating the TWF algorithm against real datasets

mathematics numpy python scipy signal-processing spyder

Last synced: 09 May 2026

https://github.com/starlitdreams/lunar-landing

This project implements a DQN agent using PyTorch to solve the LunarLander-v2 environment from OpenAI Gym. The agent learns to control the lunar lander using experience replay and a target network, aiming to maximize rewards by landing smoothly. Uses CUDA for computation.

artificial-intelligence cuda deep-learning gymnasium neural-network neural-networks numpy nvidia-gpu python python3 torch

Last synced: 09 May 2026

https://github.com/ishaj72/analysis_model2

Dataset analysis model using matplotlib and other libraries

machine-learning matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/amr-yasser226/pagerank-power-method

Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.

discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy

Last synced: 09 May 2026

https://github.com/brian-hepler-phd/kak-decomposition-qml

Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.

lie-theory machine-learning numpy pennylane qml quantum-computing quantum-gate-decomposition scipy su4

Last synced: 09 May 2026

https://github.com/nahiyanhkhan/data-processing-and-visualization

Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.

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

Last synced: 09 May 2026

https://github.com/abdullah2020/hamoye_stageb

This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.

eda lasso-regression linear-regression numpy pandas predictive-modeling regression-models ridge-regression rmse rsquare-values

Last synced: 09 May 2026

https://github.com/dulajkavinda/numpy-ml

🔢 Calculations with NumPy library.

calculations jupyter-notebook machine-learning matrices numpy numpy-arrays python

Last synced: 09 May 2026

https://github.com/anker661/autograd-playground

A simple Numpy & Python based auto differentiation system that supports visualization before and after back-propagation.

auto-differentiation autograd computaion-graph jupyter-notebook numpy python3

Last synced: 09 May 2026

https://github.com/navindafernando/character-recognition

Sinhala Character Recognition using KNN :coffee:

joblib knn-algorithm machine-learning matplotlib numpy opencv pillow tikiner-gui

Last synced: 09 May 2026

https://github.com/vadimkantorov/fasttsv

TSV parser for Python in pure vectorized NumPy code

numpy parsing simd tsv vectorized-code

Last synced: 09 May 2026

https://github.com/vviveksharma/barcodescanner

The Bar Code scanning Application built using Computer Vision library such as Opencv in python the main objective of the project is to read the barcode that is being shown in the camera and decoding it and telling if the Database or Text file that is attached to it has that permitted decoded number if yes then it shows "Permitted" is green else "Not-Permitted" in red

numpy opencv python3

Last synced: 10 May 2026

https://github.com/1adityakadam/computer-vision-approach-for-quality-inspection-of-steel-sheets

Machine Learning and Computer Vision project improves steel defect inspection using computer vision. A segmentation technique partitions steel sheet images into regions, enabling better defect analysis. U-Net is used for segmentation, and MobileNetV2 for classification. Performance is evaluated with the Dice Coefficient.

computer-vision machine-learning numpy pandas unet-image-segmentation

Last synced: 10 May 2026

https://github.com/dawoudtormos/rain_predicition_ml

This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.

ai machine-learning machine-learning-algorithms matplotlib numpy seaborn sklearn

Last synced: 10 May 2026

https://github.com/dzakarias/waves

Fun with the sine function inspired by Chladni plates

numpy streamlit

Last synced: 10 May 2026

https://github.com/esoltys/climate_data_viz

FastAPI-based web application that fetches and visualizes climate data from the Copernicus Climate Data Store (CDS).

apache-echarts copernicus-climate-data-store fastapi numpy

Last synced: 10 May 2026

https://github.com/m1-elmasry/quickmark

Efficient OMR software designed for quick and precise grading of bubble sheet exams.

bubble-sheet image-processing numpy opencv python

Last synced: 10 May 2026

https://github.com/andersoncrs/aprendizaje_no_supervisado_kmeans_customers

Este repositorio contiene un análisis de datos de clientes de un centro comercial utilizando técnicas de aprendizaje no supervisado, específicamente K Means y clustering jerárquico. El objetivo del proyecto es segmentar a los clientes en grupos homogéneos para entender mejor sus comportamientos y características.

data-analysis kmeans-clustering matplotlib numpy seaborn visualization

Last synced: 10 May 2026

https://github.com/velascort/image_equalizer_gui

Image equalizer using LUT interface.

image-processing lut numpy python scikit-image ttk

Last synced: 10 May 2026

https://github.com/tnleite/real-estate-opportunities-analysis

Este repositório apresenta uma análise de oportunidades no mercado imobiliário, combinando séries temporais, clusterização e previsões para identificar estados com maior potencial de crescimento e orientar estratégias de expansão eficientes.

catboostregressor cluster-analysis data-science kmeans-clustering lightgbm-regressor machine-learning-algorithms numpy regression-models scikit-learn xgboost-regression

Last synced: 10 May 2026

https://github.com/iamfarrokhnejad/neural-network

A simple neural network without reliance on any NN library.

classification matplotlib mnist mnist-classification mnist-dataset mnist-handwriting-recognition neural-network neural-networks neuralnetwork neuralnetworks numpy pandas python

Last synced: 11 May 2026

https://github.com/pdoup/atml-notebooks

Proposed assignment notebooks for Advanced Topics in Machine Learning tasks

active-learning cost-sensitive-learning imbalanced-data machine-learning multi-instance-learning multi-label-classification numpy scikit-learn

Last synced: 11 May 2026

https://github.com/baschin1103/machine-learning-linear-regression-tsi

The model is the multiple linear regression loaded from scikit-learn. The aim is to create a model to forecast the so called Total-Skill-Index (TSI) of a player from hattrick.org. More information on: https://wiki.hattrick.org/wiki/Total_Skill_Index. In this repository is the programm and necessary data.

csv linear-regression machine-learning numpy pandas python statistics

Last synced: 11 May 2026

https://github.com/chaganti-reddy/heart_disease_prediction

Machine Model creation for Heart Disease Prediction

data-science deep-learning machine-learning numpy python

Last synced: 11 May 2026

https://github.com/parthds02/customer-segmentation-with-kmeans-clustering

Analyze customer behavior using Python and KMeans Clustering on transactional data. Features RFM analysis, data cleaning, clustering insights, and actionable visualizations to support business decision-making.

data-analysis data-visualization feature-engineering kmeans-clustering numpy pandas vscode

Last synced: 11 May 2026

https://github.com/bhuvilol/objdetector_webcam_and_video

Object Detection from Webcam input or video input

cvzone numpy opencv python3 yolov8

Last synced: 11 May 2026

https://github.com/zilean12/digital-image-processing

Digital Image Processing

bit-plane-slicing computer-vision digital-image-processing numpy opencv warping

Last synced: 12 May 2026

https://github.com/mituskillologies/dkte-da-mar25

Programs conducted at DKTE's Engineering Institute, Ichalkaranji in training on Python Data Analytics March 2025.

data-analysis matplotlib numpy pandas python-programming tkinter-python

Last synced: 13 May 2026

https://github.com/jbizzlefoshizzle/weather_trends_vs_latitude

Pandas project analyzing possible correlation between latitude and max. temperature, wind speed, cloudiness, and humidity

json-api jupyter-notebook matplotlib-pyplot numpy weather-information

Last synced: 13 May 2026

https://github.com/andydevs/optipy

Optimization algorithms written in python

numpy optimization optimization-algorithms

Last synced: 13 May 2026

https://github.com/gmcgibbon/udacity-dlnd-project-1

Udacity Deep Learning Nanodegree - Project 1

deep-learning jupyter-notebook nn numpy udacity

Last synced: 13 May 2026

https://github.com/gsaini/streamlit-ui-getting-started

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!

codecov github-actions numpy pandas python streamlit unittest

Last synced: 14 Jun 2026

https://github.com/jayemscript/lab-to-code

A complete Python learning roadmap for scientists and researchers — covering data science, biology, chemistry, physics, and mathematics with curated libraries, tools, and resources.

bioinformatics chemistry data-science jupyter-notebook machine-learning mathematics numpy pandas physics python research roadmap scientific-computing scikit-learn

Last synced: 19 Jun 2026

https://github.com/gerardomacedo/ml-from-scratch

Logistic regression from scratch (NumPy) with tests and CLI; compared vs scikit-learn

ci-cd from-scratch logistic-regresion machine-learning numpy python unittest

Last synced: 23 Jun 2026

https://github.com/no0bitah/pdf-highlight-extractor

A Python tool for extracting highlighted text from PDF files while preserving formatting attributes (headers, bold, italic) and removing unwanted line breaks and page breaks. Perfect for integrating with content management systems.

automation crm documentation-tool numpy opencv pdf pdf-document-processor pillow pymupdf pypdfium2 python3 scrapping

Last synced: 23 Jun 2026

https://github.com/charlenry/python_math_machine_learning

Mes notebooks de travaux pratiques sur Python, NumPy, SimPy, SciPy, Matplotlib, Plotly, Seaborn et les Mathématiques pour le Machine Learning

algebra derivatives functions jupyter linear matplotlib matrix numpy plotly probabilities pyplot python pytorch scipy seaborn sklearn statistics sympy tensorflow time

Last synced: 25 Jun 2026

https://github.com/huggon1/ml-algorithm-implementations

Educational implementations for ML, DL, LLM blocks, ViT, and CUDA.

cuda machine-learning numpy pytorch vision-transformer

Last synced: 28 Jun 2026

https://github.com/patilsukanya/p01.matplotlib-seaborn-titanic-dataset-visualization

Used libraries and functions as follows:

barplot bivariate boxplot densityplot histogram jointplot matplotlib numpy pairplot pandas python seaborn-plots seaborn-tutorial stripplots swarmplot univariate violinplot visualization

Last synced: 10 Apr 2026

https://github.com/izhaan0/predict-marks-based-on-study-hours

Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.

data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-

As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.

bcgx data-visualization exploratory-data-analysis feature-engineering jupyter jupyter-notebook model-training-and-evaluation numpy pandas random-forest scikit-learn xgboost

Last synced: 19 Aug 2025

https://github.com/jonad/customer_segment

Creating customer segments using unsupervised machine learning algorithm.

clustering clustering-algorithm gaussian-mixture-models jupyter-notebook kmeans-clustering matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/ahmedabdalkreem/naive-bayes

Show what types of naive-bayes and how to use model and deal with data ( Numerical, Categorical and Mixed between Numerical and Categorical )

numpy pandas python3

Last synced: 10 Apr 2026

https://github.com/geffrerson7/curso-machine-learning

jupyter-notebook machine-learning matplotlib numpy pandas pyplot python scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/ialam085/super_store_sales_analysis_python

The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.

charts matplotlib numpy pandas python seaborn visualization

Last synced: 10 Apr 2026

https://github.com/yannbouyeron/yannbouyeron.github.io

Python pour les SVT

1s alignement anagene biopython clustal enzyme genetique genopy geopandas koala matplotlib-pyplot numpy pandas phylogenie python svt traduction transcription ts

Last synced: 10 Apr 2026

https://github.com/ksganni/diabetes-prediction-using-machine-learning

🔬 A machine learning project that predicts diabetes likelihood using patient health metrics and multiple classification algorithms.

jupyter-notebook matplotlib numpy pandas python scikitlearn-machine-learning seaborn

Last synced: 28 Apr 2026

https://github.com/liblaf/array-typing

🧮 Type-safe array operations for NumPy, JAX, and PyTorch

array code-quality documentation jax numpy python static-analysis torch type-hints typing

Last synced: 19 Aug 2025

https://github.com/abideen-olawuwo/water-potability

A Water Potability Model

adaboostclassifier gaussian kneighborsclassifier linear-regression logistic-regression matplotlib numpy pandas seaborn sklearn xgboost-classifier

Last synced: 10 Apr 2026

https://github.com/rtmigo/skifts_py

Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy

Last synced: 19 Aug 2025

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: 20 Aug 2025

https://github.com/abhirajp595/python

Data Science Project using Python

data-analysis data-science data-visualization eda jyputer-notebook numpy pandas statistics

Last synced: 08 May 2026

https://github.com/rubyyy1118/share-price-analysis

The assignment in my MSc Business Analytics course

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

Last synced: 10 Apr 2026

https://github.com/nickklos10/compressive-strenght-prediction

This project predicts concrete compressive strength using a neural network regression model built with Keras.

jupyter-notebook keras matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/hariprasath-v/hackerearth_transunion-data-science-analytics-hiring-challenge_2022

Machine learning model to classify the credit score based on people bank details and credit related information.

catboost exploratory-data-analysis klib machine-learning matplotlib numpy optuna pandas python seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/mayankmittal29/pagesage-ai_urls_content_scraper_webapp

PageSage is a modular web scraping and semantic retrieval system using BeautifulSoup for extraction, SentenceTransformers for dense embeddings, and ChromaDB for scalable vector search—enabling efficient data indexing for advanced RAG pipelines.

beautifulsoup chromadb fastapi gpt-turbo numpy openai-api python3 question-answering rag react requests sentence-transformers tailwindcss web-scraping

Last synced: 10 Apr 2026

https://github.com/kaladabrio2020/calculusnumerics

Trabalho da cadeira de Métodos Numérico I

metodos-numericos numpy python tkinter-gui

Last synced: 18 May 2026

https://github.com/mpbeatriz/santander_coders_2024

Repositório dos exercícios e projetos do curso de Engenharia de Dados da Ada em parceria com o Santander (em andamento).

apache-kafka apache-spark api data-engineering data-extraction fastapi flask numpy oop pandas python webhooks

Last synced: 10 Apr 2026

https://github.com/trivediayush/Accident-and-Drowsiness-Detection

Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.

accident-detection accidents-analysis college-project cvzone dlib-face-detection dlib-face-recognition face-detection face-recognition imutils minor-project numpy opencv pandas python python3 yolov8

Last synced: 22 Aug 2025

https://github.com/gaurav-0211/seaborn-for-data-visualization

This Project aims to different plotting methods using seaborn for data Visualization.

data-visualization jupyter-notebook matplotlib numpy pandas-dataframe seaborn

Last synced: 20 Apr 2026

https://github.com/farzeennimran/kmeans-clustering

clustering clustering-algorithm data-science dataanalysis datapreprocessing kmeans-clustering machine-learning numpy pandas python sklearn visualization

Last synced: 10 Apr 2026

https://github.com/abideen-olawuwo/fraud-detection

A Fraud Prediction Model

kears logistic-regression matplotlib numpy pandas pickle scipy seaborn sklearn tensorflow

Last synced: 10 Apr 2026

https://github.com/rotantos/ml-projects

Includes various ML projects created for educational purposes.

classification-model jupyter-notebook machine-learning numpy pandas python sklearn-library

Last synced: 10 Apr 2026

https://github.com/prince-pastakiya/human-resources-tableau-project

👥 Interactive Tableau dashboard for HR analytics — includes workforce overview, demographics, income analysis, and detailed employee records with full filtering.

chatgpt data-analysis data-visualization human-resources numpy python python-faker tableau-dashboards tableau-public

Last synced: 18 Apr 2026

https://github.com/philippe2023/startup-success-predictor

jupyterlab linear-regression machine-learning numpy pandas python3 scikit-learn streamlit

Last synced: 10 Apr 2026

https://github.com/jeniljani-4444/end-to-end-car-price-prediction-model

Predict car prices effortlessly using this machine learning model. Built with Python and Scikit-learn it analyzes features like mileage age brand and more to estimate accurate prices. Perfect for buyers sellers and dealerships.

machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit

Last synced: 10 Apr 2026

https://github.com/skywalkersam/python-101

Introduction to Python 3

bootcamp django flask jupyter-notebook matplotlib ml numpy pandas python-bootcamp python-development python-scripting python3 web-scraping

Last synced: 25 Dec 2025

https://github.com/sawaira-iqbal/data-visualization-project-on-car-sales-data

Explore Sales Data Visualization with Interactive Charts & Insights! 📊 Uncover trends and patterns to drive smarter automotive decisions.

bivariate-analysis data-science data-visualization interactive-visualizations matplotlib multivariate-analysis numpy plotly python seaborn univariate-analysis

Last synced: 12 Apr 2026

https://github.com/gregoritsch3/project_spring_pendulum

A solution to the chaotic equations of motion of a spring pendulum using Lagrangean mechanics integrated through symbolic and numeric Python libraries (Sympy, Numpy, Scipy, Matplotlib, etc.).

lagrangian-mechanics maptlotlib numpy python scipy spring-pendulum sympy

Last synced: 12 Apr 2026

https://github.com/sandyherho/buku_metnum_python

Repositori ini memuat kode dan gambar yang digunakan pada buku "Pengantar Metode Numerik Terapan Menggunakan Python".

belajar-pemrograman belajar-python indonesia indonesian-language matematika-terapan matplotlib metode-numerik numerical-methods numpy python scipy

Last synced: 16 Jan 2026

https://github.com/sasivakulrithwik/059_iva_assignment-1

Image processing and object detection using OpenCV, including color detection, smoothing, edge detection, and face detection with Haar cascades. 🚀

ipython-notebook numpy opencv python3

Last synced: 10 Apr 2026

https://github.com/quickheaven/scs-3251-statistics-for-data-science

Repository dedicated to Term Project of UofT Statistics for Data Science Course

data-science jupyter-notebook logistic-regression numpy pandas python

Last synced: 10 Apr 2026

https://github.com/yessasvini23/pytorch-bootcamp-on-ai-by-opencv

This OpenCV course is highly recommended for individuals seeking an introductory experience in Computer Vision and AI, and who wish to establish a strong foundation for their career development.

cnn-classification computer-vision cv2-library deeplearning-ai numpy opencv pytorch rnn-tensorflow

Last synced: 13 Apr 2026

https://github.com/jhonatanthiago/projeto_analise_de_dados_com_python

A empresa contratou você para analisar dados de mais de 800 mil clientes, a maioria dos quais são inativos, ou seja, já cancelaram o serviço. O objetivo é entender os principais motivos desses cancelamentos e identificar as ações mais eficazes para reduzir esse número.

jupyter-notebook nbformat numpy openxyl pandas plotly python

Last synced: 10 Apr 2026

https://github.com/vrush9840/emotion-detection-from-tweets-using-dl

Emotion detection from tweets using Deep Learning (LSTM & BERT) to classify emotions such as Positive, Negative, Neutral, and Irrelevant with emoji recommendations.

glove-embeddings lstm matplotlib nltk numpy pandas python seaborn shap tensorflow

Last synced: 10 Apr 2026

https://github.com/nirmit27/credit-risk-modeling

Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.

credit-risk credit-risk-analysis machine-learning ml ml-model ml-models modelling numpy pandas python python3 sckiit-learn

Last synced: 29 Apr 2026

https://github.com/hasnainroopawalla/sudoku-generator

This algorithm can generate and solve a random Sudoku Puzzle Board using Backtracking

backtracking numpy python sudoku-generator

Last synced: 16 May 2026

https://github.com/teslaproduuction/data_analiz_al

Прогнозирование курса алюминия с использованием модели ARIMAX

arimax csv django html-css-javascript numpy pandas python rss scipy sklearn sqlite yfinance-library

Last synced: 10 Apr 2026

https://github.com/null-none/pyignite

Simple deep learning library

deep-learning machine-learning ml numpy python

Last synced: 06 May 2026

https://github.com/saro0307/unemployment-analysis

This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.

data-science datavisualization machine-learning matplotlib numpy pandas python seaborn skit-learn

Last synced: 10 Apr 2026

https://github.com/hansalemaos/cv2pencil

Converts images to pencil sketches

filter numpy opencv pencil python

Last synced: 10 Apr 2026

https://github.com/s0fft/learning-lab

Code Notes & Test-Learn // Micro Pet-Projects: Python / Asynchrony / FastAPI / Django-Tastypie / DRF / Parsing / Telegram-Bot / SQL / Docker / DS / ML / etc.

asynchrony data-science django-rest-framework docker fastapi jupyter-lab jupyter-notebook mashine-learning matplotlib notes numpy pandas parsing python3 scikit-learn seaborn sql sqlalchemy tastypie telegram-bot

Last synced: 10 Apr 2026

https://github.com/williyam-m/urine_strip_analyzer

django numpy opencv python rest-api

Last synced: 18 Apr 2026

https://github.com/kostadinlambov/algorithmic-trading-bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost