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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/balaji24092001/python

All python related content: notes, problems, progress archive.

matplotlib numpy opencv pandas python3 scipy-stats seaborn sklearn sqllite

Last synced: 30 Dec 2025

https://github.com/youssefali11997/100-numpy-exercises

100 exercise on NumPy library. NumPy (Numerical Python) is a package used for scientific computing with Python.

data-science numpy python3

Last synced: 30 Oct 2025

https://github.com/ksharma67/partial-dependent-plots-and-individual-conditional-expectation-plots

Individual Conditional Expectation (ICE) plots display one line per instance that shows how the instance's prediction changes when a feature changes. The Partial Dependence Plot (PDP) for the average effect of a feature is a global method because it does not focus on specific instances, but on an overall average.

eda gradient-boosting individual-conditional-expectation linear-regression matplotlib numpy pandas partial-dependence-plot python seaborn sklearn xgboost

Last synced: 16 Jul 2025

https://github.com/pedasoft-consult/sentiment_analysis

This project involves analyzing customer reviews to classify them as positive or negative using Logistic Regression. The workflow includes text preprocessing, feature extraction, training a model, making predictions, and evaluating its performance.

nltk numpy pandas sklearn

Last synced: 16 Jul 2025

https://github.com/NoumanAhmad448/linux_windows_mysql_php_python_cheatsheet

A cheatsheet resource that covers the deep learning libraries.

matplotib numpy panda pytorch torchvision

Last synced: 16 Jul 2025

https://github.com/nas-research/knowledge-model

Our knowledge system systematically ingests, processes, and indexes open-access life science publications. It supports internal research by providing precise question-answering and efficient retrieval from a continuously updated repository of scientific literature

accelerate aws boto3 dataingestion keras lifesciences llama llama3 llm numpy pymupdf pytorch researchsupport sqlalchemy tensorflow textextraction

Last synced: 30 Dec 2025

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

End To End Machine Learning Project guided by Krish Naik from Ineuron.

catboost dill flask-application numpy pandas python scikit-learn xgboost

Last synced: 30 Dec 2025

https://github.com/chandkund/predicting-diabetes-onset

The "Predicting Diabetes Onset" project aims to build a machine learning model that predicts whether an individual has diabetes based on various health-related features. The dataset used for this project includes attributes related to medical history and physical measurements.

deep-learning numpy pandas python seaborn sklearn-library sklearn-metrics visualization

Last synced: 16 Jul 2025

https://github.com/shwetapardhi/assignment-1-q7--basic-statistics-level-1

Q7) Calculate Mean, Median, Mode, Variance, Standard Deviation, Range & comment about the values / draw inferences, for the given dataset For Points,Score,Weigh> Find Mean, Median, Mode, Variance, Standard Deviation, and Range and also Comment about the values/ Draw some inferences. Use Q7.csv file

mean median mode numpy pandas python range standard-deviation variance

Last synced: 06 Sep 2025

https://github.com/kbunwong/stock-price-prediction-using-lstm

This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.

google-colab jupyter-notebook keras-tensorflow lstm-model machine-learning matplotlib numpy pandas python visualization yfinance

Last synced: 16 Jul 2025

https://github.com/mandeep04sharma/ev-cars-analysis---python

This project dives deep into electric vehicle specifications and performance using Python. It involves data cleaning, filtering, statistical analysis, outlier detection, and hypothesis testing to uncover meaningful insights.

matplotlib numpy pandas python scipy

Last synced: 30 Dec 2025

https://github.com/gurpreet0022/unveiling-pcos

Data Driven approach to get insights about PCOS

analysis eda insights matplotlib numpy pandas python3 scipy-stats seaborn visualisation

Last synced: 02 Apr 2025

https://github.com/aasmirnov-webdev/data_science_projects

Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".

bert catboost data-science database lgbm mashine-learning matplotlib numpy pandas python pytorch scikit-learn scipy seaborn sql xgboost

Last synced: 30 Dec 2025

https://github.com/vijaykumarr1452/startup_success_predictor

This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)

machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn

Last synced: 30 Dec 2025

https://github.com/Udacity-MachineLearning-Internship/Support-Vector-Machine

Implementing SVM's using pandas and sklearn in python

numpy pandas sklearn support-vector-machines svm

Last synced: 17 Jul 2025

https://github.com/djdurga/upi-transactions-eda

The dataset provided encompasses a comprehensive record of Unified Payments Interface (UPI) transactions spanning the period from January 2023 to December 2023. Unified Payments Interface (UPI) has emerged as a prominent digital payment system in India, facilitating seamless fund transfers between bank accounts instantly.

matplotlib numpy pandas python

Last synced: 17 Jul 2025

https://github.com/daniel-brai/alx-t-x-udacity-data-analytics-nanodegree

A 3-month nanodegree going through the intricacies of data analysis with Python and its various libraries such Pandas, Numpy, matplotlib, seaborn and others

matplotlib numpy pandas python3

Last synced: 17 Jul 2025

https://github.com/petcareai/dba

PetCare DBA Admin é um sistema web avançado desenvolvido especificamente para a administração e gerenciamento de bancos de dados da plataforma PetCare. Esta ferramenta foi criada para simplificar e otimizar o trabalho de administradores de banco de dados (DBAs) em clínicas veterinárias, hospitais veterinários e sistemas de gestão pet.

api dba front-end-development git numpy pandas-dataframe petcareai ploty postgresql python shell-script sql startup streamlit streamlit-webapp supabase supabase-auth supabase-db supabase-storage virtualenv

Last synced: 17 Jul 2025

https://github.com/sohamkul16/excel-sheet-comparator-by-python

The Excel Sheet Comparator project is a Python-based application designed to compare two Excel spreadsheets to identify differences between them. These differences are then highlighted in other downloadable .csv format.

html-css numpy pandas python

Last synced: 17 Jul 2025

https://github.com/hannah-aji/predictive-modeling-to-identify-high-risk-areas

Predictive Modeling to Identify High-Risk Areas for Targeted Interventions in Chicago, Illinois

machine-learning matplotlib numpy supervised-learning visualization

Last synced: 17 Jul 2025

https://github.com/chopikus/raytracing-bench

Benchmarking ray tracers in Python, Java, Numpy, Cupy, Pypy

cupy java numpy pypy python raytracing

Last synced: 16 Jun 2025

https://github.com/xanonymous-github/multimediax

The collections of class projects in Multimedia Technologies and Applications class, NTUT.

deep-learning machine-learning numpy opencv-python

Last synced: 22 Feb 2025

https://github.com/rahulchouhan1/car-theft-data-in-india

This project analyzes car theft incidents in India using Python and data visualization techniques. It provides insights into theft trends, frequently stolen car models, recovery statistics, and the impact of security measures like GPS and CCTV.

matplotlib numpy pandas python

Last synced: 17 Jul 2025

https://github.com/mnitin-reddy/coffee-shop-sales-analytics

This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.

datasceince datavisualization exploratory-data-analysis matplotlib numpy pandas python seaborn

Last synced: 02 Apr 2025

https://github.com/manikantasanjay/emotion_prediction_kaggle_cnn

Real time Facial Emotion Recognition System with CNN Model Architecture making use of Transfer Learning, Data Augmentation, and Regularization Techniques.

cnn convolutional-neural-networks dataset deep-learning jupyter-notebook matplotlib numpy pandas python3 pytorch transfer-learning

Last synced: 30 Dec 2025

https://github.com/rajesh9943/web-scraping-analysis-of-top-us-company-revenue-growth-in-2023

Explore the landscape of US business growth in 2023 with our dynamic project, 'Web Scraping for US 2023 Revenue Growth.' Utilizing advanced web scraping techniques, we unveil insights into the top companies driving economic expansion.

cleaning-data data data-analysis data-visualization manipulation numpy pandas pre-fill

Last synced: 16 Aug 2025

https://github.com/thgroblox/advanced_video_stabilization_and_roi_pixel_analysis

Enhance your videos with advanced stabilization and analyze pixel data in defined regions. Explore techniques like optical flow tracking and moving average smoothing. 🚀📹

data-structures debugging english-language git github html markdown numpy opencv project-management python

Last synced: 18 Jul 2025

https://github.com/9keystrokes/photorealistic-person-scene-composition

This computer vision project implements an advanced image processing pipeline to seamlessly integrate a person into any background scene with photorealistic results.

numpy opencv python rembg skimage

Last synced: 18 Jul 2025

https://github.com/mateuszskoczek/3drenderer

Simple 3D Renderer written in Python and Pygame. The project was implemented as a part of the "Computer Graphics" course at the Warsaw University of Technology.

3d 3d-graphics computer-graphics numpy pygame python

Last synced: 18 Jul 2025

https://github.com/genndy007/ad_python_labs

Analysis of Data Laboratory Works of Sikorsky KPI, 3 year 2 semester

jupyter-notebook matplotlib numpy pandas python scipy seaborn sklearn

Last synced: 09 Sep 2025

https://github.com/satheesh-meadi/real_time_financial_risk_dashboard

Financial Risk Analysis Dashboard 🚀. An interactive Streamlit dashboard designed for analyzing and visualizing portfolio performance. Features include CAPM analysis, portfolio optimization, efficient frontier visualization, and real-time stock data to help optimize investments.

numpy pandas plotly plotly-express python3 scikit-learn streamlit yfinance

Last synced: 30 Dec 2025

https://github.com/andriikot/smartmatch

Smart Match with python

docker faiss huggingface numpy ptyhon pythorch

Last synced: 30 Dec 2025

https://github.com/rayan-alam-uoit/space-x-launch-prediction-tool

A full-stack data science project analyzing SpaceX launch data using web scraping, REST APIs, SQL, interactive visualizations, and machine learning in Python to explore trends and predict launch success.

dash data-science folium jupyter-notebook machine-learning matplotlib numpy pandas plotly python seaborn sql sqlite

Last synced: 18 Jul 2025

https://github.com/azaz9026/house_price_prediction_with_machine_learning

🏡 House Price Prediction with Machine Learning Project 🤖💰 Seeking to revolutionize the real estate industry with cutting-edge technology? Explore my latest project, where I leveraged machine learning algorithms to predict house prices accurately.

linear-regression machine-learning-algorithms metaploit numpy pandas pickle python seaborn visualization

Last synced: 12 Sep 2025

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: 30 Dec 2025

https://github.com/chator3/three-body-problem-simulator

Three-Body Problem Simulation - A Python-based simulation of the Three-Body Problem with both 2D and 3D visualizations. Uses `matplotlib` and `scipy` to model gravitational interactions and animate orbital trajectories. 🚀🔭

academic astrophysics gravity-simulation mplot3d newtonian-mechanics numerical-methods numpy orbital-mechanics physics physics-education science three-body-problem three-body-simulation threebodyproblem

Last synced: 18 Jul 2025

https://github.com/mzayles/vendas_ficticias_dataprep

💻📊✅ Curso de Programação em Python para Data Science | Analisando e tratando dados fictícios.

numpy pandas python

Last synced: 15 Jun 2025

https://github.com/parth-jatav/super-store-analysis-project

The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.

data-analysis matplotlib numpy pandas python super-store

Last synced: 18 Jul 2025

https://github.com/ahmedabdalkreem/machine_learning_with_cv

In this project work to extraction feature from shapes to be input of machine learning model.

chaincode computer-vision contour-detection feature-extraction machine-learning matplotlib numpy open-cv pandas python sklearn svc-model

Last synced: 18 Jul 2025

https://github.com/omarsaad21/rfm-clustering-

A full Data science and deployment project focusing on Data analysis and ML ( create a customer segmentation model to recommend the best merchants for each user as targetted offers)

business-solutions data-science eda numpy pandas plotly python sickit-learn streamlit

Last synced: 30 Dec 2025

https://github.com/marknature/codealpha-internship_python-programming

Python Programming Internship at CodeAlpha from 1st June 2025 to 30th June 2025

numpy pandas python3

Last synced: 18 Jul 2025

https://github.com/shafaq-aslam/predicting-heart-disease-risk-with-logistic-regression-techniques

Develop a predictive model using logistic regression techniques to assess heart disease risk based on patient health metrics and data analysis.

data-analysis heart-disease logistic-regression machine-learning machine-learning-models matplotlib numpy pandas python scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/gustavo-venceslau/housing-price

A Machine Learning project to create a model to predict housing prices. The project is based on the example in chapter 2 of the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélion Géron

conda machine-learning matplotlib numpy pandas python sklearn

Last synced: 18 Jul 2025

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

Digitalize Super 8 films with Python & reactivex & FT232H

adafruit-ft232h-breakout cython ft232h multiprocessing nuitka numpy opencv python3 reactivex

Last synced: 10 Sep 2025

https://github.com/diiego-h/toyrecommender

University project: User-based movie recommender.

numpy pandas python

Last synced: 19 Jul 2025

https://github.com/riya2624/heart-disease-diagnostic-analysis

Analyzed heart disease diagnostic data through an ETL process, ensuring data accuracy and readiness for analysis using Python (Pandas, NumPy, Matplotlib, Seaborn). Conducted comprehensive exploratory data analysis (EDA) to uncover trends related to heart disease rates by gender and age. Developed interactive dashboards with Power BI and Tableau

dashboard dax-query eda machine-learning matplotlib numpy pandas python seaborn

Last synced: 19 Jul 2025

https://github.com/charlenry/python_math_ml

Les notebooks de ce dépôt sont mes notes de cours sur Python, NumPy et les Mathématiques pour le Machine Learning.

jupyter-notebook matplotlib-pyplot numpy plotly-express plotly-graph-objects python pytorch scipy-stats seaborn sklearn-datasets statistics sympy tensorflow time

Last synced: 30 Dec 2025

https://github.com/pyladiesams/python-oss-sprints-mar2024

Sprints to contribute to the most popular data and AI Python OSS libraries

conda dask geopandas jupyter matplotlib numpy pandas pymc sklearn

Last synced: 22 Feb 2025

https://github.com/RedInfinityPro/RedditBot

Rating: (7/10) This script collects, preprocesses, trains models, processes images, and handles files, handling data from Reddit, image processing, and file handling.

autocorrect bytesio concurrent nltk numpy openpyxl pandas pil praw random re requests secrets sklearn string tensorflow time urllib

Last synced: 30 Sep 2025

https://github.com/mbarbetti/hello-snakemake

Simple implementation of snakemake to sample and plot data

hello-world matplotlib numpy python snakemake

Last synced: 22 Feb 2025

https://github.com/ayushmankumar7/siamese-network-with-one-shot-learning

Implementation of this paper - https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf

numpy tensorflow tf-keras

Last synced: 10 Sep 2025

https://github.com/calvinsprouse/dice-equivalence

A demonstration and extension of a Stand-up Maths video.

dice latex math matplotlib numpy probability python

Last synced: 08 Sep 2025

https://github.com/nilayhangarge/data-analysis-with-python

This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.

data-acquisition data-analysis data-analytics data-binning data-cleaning data-engineering data-fundamentals data-insights data-integration data-preprocessing data-science data-wrangling numpy pandas python

Last synced: 24 Feb 2025

https://github.com/vishal-verma-96/honey_production_analysis_using_python

In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.

matplotlib numpy pandas python-3 python-visualization seaborn

Last synced: 22 Feb 2025

https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction

Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.

analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap

Last synced: 02 Mar 2025

https://github.com/elifftosunn/rfm-customers-analysis

RFM analysis focuses on identifying and segmenting customers based on their purchasing behavior. Analyzed to understand and interact with customers. It can be used together for more effective marketing and customer management strategies.

apriori-algorithm association-rules cohort-analysis datetime fpgrowth kmeans-clustering matplotlib-pyplot minmaxscaler numpy pandas python3 rfm rfm-analysis seaborn silhouette-score sklearn tableau

Last synced: 30 Oct 2025

https://github.com/sahilmate/gesturepainter

Virtual Painting Application

gesturepainter mediapi numpy opencv virtualpaint

Last synced: 19 Jul 2025

https://github.com/arnoldchrisoduor1/potato_disease

Trained a CNN to detect the presence and the current stage of Blight disease in potatoes, WebApp in FastAPI and React

fastapi keras numpy react serving-tensors tensorflow

Last synced: 30 Dec 2025

https://github.com/priyasingh26/financial_document-data_extraction

This project extracts key information from financial documents like invoices and receipts using text recognition. It processes images, classifies documents, and extracts data, which is then stored in a CSV file. The aim is to automate data collection from scanned documents, reducing manual work and increasing accuracy.

data-extraction numpy ocr pandas pillow preprocessing pytesseract-ocr python sklearn torch transformers

Last synced: 19 Jul 2025

https://github.com/dineshdhamodharan24/data_science_final_project

Customer Insights & Recommendation System: Harnessing Decision Tree, Logistic Regression, and Random Forest models for behavior analysis. Utilizing EasyOCR and Python Imaging Library for image information extraction. Employing NLTK for sentiment analysis on textual data

classification final-project guvi-projects image-processing nltk-python numpy ocr pandas recommendation-system sentiment-analysis sklearn-library streamlit text-processing worldcloud

Last synced: 10 Oct 2025

https://github.com/asier-ortiz/apuntes-ia-ds

Materiales y apuntes del curso de IA y Ciencia de Datos

keras matplotlib numpy pandas python sckiit-learn seaborn tensorflow

Last synced: 30 Dec 2025

https://github.com/noopur-phadkar/botnavigator

BotNavigator utilizes the A* (A-Star) algorithm for pathfinding, leveraging Python along with libraries such as Matplotlib and Numpy for efficient array operations and visualization. This innovative solution optimizes robotic navigation within warehouse environments, enhancing operational efficiency and scalability.

a-star-path-finding matplotlib numpy pathfinding-algorithms python robotics

Last synced: 19 Jul 2025

https://github.com/anand-sony/machine_learning

Machine Learning codes and concepts, including algorithms like K-means, PCA, and Linear Regression, with Python libraries (NumPy, Pandas, Matplotlib).

artificial-neural-networks kmeans-clustering knn linear-regression machine-learning matplotlib normalization numpy pandas pca python

Last synced: 30 Apr 2025

https://github.com/harmonicode/signal_equalizer

Signal Equalizer is a Python-based application designed to process and analyze various types of signal data, including audio and ECG signals. It provides functionalities for reading, processing, visualizing, and enhancing signal data using techniques such as Wiener filtering.

audio-processing numpy pyqt5 scipy signal-processing wiener-filter

Last synced: 16 Sep 2025

https://github.com/mohammedsaqibms/deep-neural-network-for-image-classificaton-application

This repository implements a deep neural network to classify images as cats or non-cats. Using Python and libraries like NumPy and Matplotlib, it showcases practical applications of deep learning concepts from the DeepLearning.AI Deep Learning Specialization.

cat-recognition deep-learning image-classification machine-learning matplotlib neural-networks numpy python3

Last synced: 18 Mar 2025

https://github.com/hariprasath-v/av_job-a-thon-june-2022

Machine learning model to predict if the user would buy the product in the next 3 months or not.

matplotlib numpy pandas pycaret python seaborn sklearn

Last synced: 01 Sep 2025

https://github.com/hariprasath-v/av-job-a-thon-november-2022

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting

Last synced: 02 Mar 2025

https://github.com/prateekrajsrivastav/ml-intern-iris-flowers-classification

TASK : 2 Iris Flowers Classification : "Predict the different species of flowers on the length of there petals and sepals only Jupyter notebook code."

machine-learning matplotlib numpy python scikitlearn-machine-learning seaborn

Last synced: 19 Jul 2025

https://github.com/henrique-efonseca/salary-range-distribution-tool

A web application to help job applicants propose an optimal salary within a given range using a normal distribution approach. Built with Python, Flask, Numpy, Scipy and JavaScript.

flask javascript numpy python scipy

Last synced: 02 Feb 2026

https://github.com/deenayy/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

Last synced: 30 Dec 2025

https://github.com/hariprasath-v/hackerearth_get-a-room-ml-hackathon

Build a Machine Learning model to identify the habitability score of the property based on the property's basic information and location-based information.

exploratory-data-analysis machine-learning numpy pandas pycaret python randomforestregressor regression scikit-learn seaborn

Last synced: 02 Mar 2025

https://github.com/chaakshay/heartdrive

A Streamlet-based tool that analyzes cardiovascular health data, predicts population risk using ML, and suggests targeted government actions like awareness campaigns, health checkups, and policy changes.

csv mathplotlib numpy pandas pandas-dataframe python scikit-learn seaborn streamlit

Last synced: 30 Dec 2025

https://github.com/dmarks84/coursework_project_data-analysis-apache-spark

Project for IBM Data Engineering & Python course on ETL & Big Data -- Read in data, wrote to SQL database and performed queries, performed statistical analysis and issued reports

apache-sprk automation dag data-modeling eda elt etl numpy pandas pipelines python sql statistics visualization

Last synced: 30 Dec 2025

https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023

Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.

binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap

Last synced: 02 Mar 2025

https://github.com/mateusdigital/ram_it

Ram It is a clone of the nostalgic Atari 2600 game, created by https://mateus.digital

atari2600 game numpy pygame

Last synced: 17 Mar 2025

https://github.com/amardeepsingh-06/smart_attendance_system

The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.

asgiref django mysql numpy opencv pillow-library python sqlparse

Last synced: 30 Dec 2025

https://github.com/saadarazzaq/custom-neural-networks

Perceptron, Multiclass and Deep Neural Network Implemented All in One Repo ✨

deep-neural-networks keras numpy perceptron python scikit-learn tensorflow

Last synced: 17 Mar 2025

https://github.com/cchandre/pyhamsys

pyHamSys is a Python package for scientific computations involving Hamiltonian systems

hamiltonian hamiltonian-dynamics hamiltonian-systems numpy ode-solver python3 symplectic-integration symplectic-integrators

Last synced: 26 Mar 2025

https://github.com/hariprasath-v/zindi_umojahack-india-income-prediction-challenge

Create a machine learning model to predict whether an individual earns above 50,000 in a specific currency or not.

catboost-classifier classification exploratory-data-analysis f1-score matplotlib numpy pandas python scikit-learn seaborn shap zindi

Last synced: 02 Mar 2025

https://github.com/kernel-loophole/numerical-computing

Numerical Computing use python(Numpy,metplotlib).

numpy python quantum-computing

Last synced: 18 Mar 2025

https://github.com/kunalshelke90/students_marks_prediction_in_exams

Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization .Later on deployed on AWS with help of docker

dokcerfile flask githubactions machine-learning matplotlib mlops numpy pandas python seaborn

Last synced: 22 Feb 2025

https://github.com/jcardonamde/datasets_ml

This project analyzes cab and limousine travel data in New York City. This with the goal of predicting the total duration of trips within the city. Machine learning models were used.

data-science machine-learning machine-learning-algorithms matplotlib numpy pandas pipelines python seaborn sklearn

Last synced: 30 Dec 2025

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awesome-jax 218 awesome-data-analysis 865 awesome-ebooks 106 awesome-mojo-max-mlir 181 awesome-jax 132 awesome-numpy 32 practice-data-science-programming-projects 90
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Blogs 329 Libraries 225 ⚡ Productivity 100 🐍 Python 89 Exercises 87 Models and Projects 74 🧠 AI Applications & Platforms 71 📚 Skill Development & Career 66 Tutorials and Blog Posts 57 📦 Additional Python Libraries 49 🤖 Machine Learning & AI 49 ☁️ Cloud Platforms & Infrastructure 44 📋 Cheatsheets 44 🗃️ SQL & Databases 42 📝 More Awesome Lists 40 📊 Data Visualization 38 📈 Dashboards & BI 37 🎲 Statistics & Probability 34 Videos 34 Web 33