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: 2026-06-23 00:21:44 UTC
- JSON Representation
https://github.com/epsoft/traffic
traffic
cv2 numpy os sklearn sys tensorflow traffic
Last synced: 11 Apr 2026
https://github.com/rixiiz/knn-model-to-predict-the-obp-of-mlb-players
A machine learning model I built that can predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season
artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning
Last synced: 01 Jul 2025
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/g-eoj/cv-tl-keras
Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.
cross-validation keras numpy scikit-learn transfer-learning
Last synced: 10 Apr 2026
https://github.com/westurner/pypfi
A Python package for personal finance
arrow bootstrap3 csv factoryboy jquery jquery-tocify numpy pandas personal-finance pivot-tables python
Last synced: 11 Apr 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/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
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https://github.com/achuth-0908/hemoguard-anemia-predictor
A Web App incorporated with a Gradient Boosting Classifier Model, to predict Anemia with given data.
css flask html matplotlib numpy pandas python scikit-learn
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https://github.com/nemeslaszlo/financial-crisis-effects-on-some-stocks
Focusing on bank stocks to see how they progressed throughout the 2008-09 financial crisis all the way to early 2016.
cufflinks jupyter-notebook matplotlib numpy pandas pandas-datareader plotly seaborn
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https://github.com/nemeslaszlo/sale-price-of-bulldozers
The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)
matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn
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https://github.com/gauravsakure02/pubg_win_prediction
Predicting PUBG game wins using a dataset involves analyzing various in-game features such as player kills, distance traveled, and weapons acquired to build a model that forecasts the likelihood of winning a match based on player performance, helping in winning game
matplotlib numpy pandas sklearn
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https://github.com/msadeqsirjani/synapse
seizure detector with neural networks
cnn edf matplotlib neural-network numpy pyedflib python seizure-detection sklearn tensorflow
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https://github.com/prakashjha1/stock-trend-prediction
Deep learning for predicting stock market prices and trends has become even more popular than before. I have used yahoo finance to collect the data and LSTM to build the stock trend model.
deep-learning keras lstm lstm-neural-networks machine-learning numpy pandas pandas-datareader prediction python rnn tensorflow
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https://github.com/pacatro/lse2text
Deep learning program that translates Spanish Sign Language (LSE) to text in real time.
ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation
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https://github.com/kanishk1420/renewabled-data-helper
An AI-powered assistant designed to help analysts, developers, and investors efficiently analyze and extract critical insights from renewable energy project documents. Built using Python, Google Gemini, FAISS, and Streamlit
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https://github.com/arnoldchrisoduor1/machinelearning-and-neuralnetworks
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numpy pandas python scikit-learn scipy sql tensorflow2
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https://github.com/kartikeya443/handgesture_detection_opencv
A Computer Vision based model trained on data sets of over 300 inputs for a particular gesture is able to detect and identify human hands gestures effortlessly and is able to track the coordinates for further modifications in its usage for controlling devices like mouse and windows (control features are in development).
deep-learning mediapipe numpy opencv tensorflow
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https://github.com/achalesh27022003/python-assignments-iwt
This repository is objected to have all the assignments and project related to IWT (Semester - 3).
cosinewave frame grid image imagetk labels matplotlib-pyplot numpy numpy-arrays numpy-library photoimage pil python3 sinewave spyder tkinter tkinter-gui window
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https://github.com/bhattbhavesh91/tf-numpy-example
Faster NumPy using Tensorflow's tf.experimental.numpy module
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https://github.com/sehgalnaval/olympics-data-analysis
I will be building an Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries. The project will also be deployed to Heroku.
heroku jupyter-notebook matplotlib numpy pandas pycharm python seaborn
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https://github.com/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.
This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.
big-data data-analysis data-processing data-science eda exploratory-data-analysis numpy pandas python
Last synced: 11 Apr 2026
https://github.com/prashver/customer-segmentation
This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.
customer-segmentation matplotlib numpy pandas seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/skywalkerSam/ML-101
Getting started with AI & ML!
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https://github.com/tom-mohr/clevertable
Consistent, intelligent transformation of text-based tabular data into numerical data.
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https://github.com/matx64/rs-netbot
Old School Runescape bot with CNN for object identification
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https://github.com/datarohit/fifa-2020--data-analysis
This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.
exploratory-data-analysis exploratory-data-visualizations matplotlib-pyplot numpy pandas seaborn
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https://github.com/34j/numpy-flint-arb
Arbitrary precision floating / ball arithmetic (interval arithmetic) dtype in NumPy / array API
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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.
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https://github.com/aryansk/fake-news-detection
A sophisticated machine learning solution to detect fake news using multiple classification algorithms. Identify the credibility of news articles with advanced text analysis techniques!
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https://github.com/ndohvich/car-price-prediction-eda-using-xgboost-regression
predict the price of sale car
jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python random-forest xgboost
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https://github.com/aditya-ranjan1234/1stsem-el-dataset-analysis
Netflix Dataset Analysis
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https://github.com/camilajaviera91/clustering-first-approach
This code will help to understand, in a simple way, how the clustering model works. To achieve this, we will input certain variables (strings and integers), then plot them to visualize and analyze how the values are positioned.
array cluster clustering dictionaries matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/mdaiyub/covid-19-detection
The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are approximately five million confirmed cases and the novel virus is still spreading rapidly all over the world. The chest X-ray images along with emerging Artificial Intelligence (AI) methodologies, in particular, Deep Learning (DL) algorithms have recently become a worthy choice for early COVID-19 screening. This work proposes a DL-assisted automated method using X-ray images for the early diagnosis of COVID-19 infection. We evaluate the effectiveness of the pre-trained Convolutional Neural Network (CNN) model. The model has been validated on publicly available chest X-ray images and it is obtained by CNN with an accuracy of 97.26%. This study will be useful for researchers to think about the design of more effective CNN-based models for early COVID-19 detection.
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https://github.com/SudipBishwakarma/Bulk-Remove-OneSignal-Users
Bulk remove OneSignal subscribed users blazingly faster with parallel processing.
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https://github.com/mothnik/robust_fourier
Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba
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Last synced: 04 Jan 2026
https://github.com/nomadsdev/frequency-insight
SoundFreqAnalyzer: A Python tool to record audio, analyze frequencies, and save results.
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https://github.com/fatma-moanes/machine-learning-labs
My implementation for the labs of the Machine Learning course that I studied in my university, Zewail City.
bootstrap data-analysis data-science deep-learning keras knn-classification linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib ml neural-networks numpy pandas pca preprocessing python seaborn svm-classifier
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https://github.com/jinkogule/multi-analyst
O Multi Analyst é uma ferramenta de análise de dados com uma usabilidade simples, que utiliza inteligência artificial para interpretar os resultados das análises realizadas, retornando insights úteis aos usuários.
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https://github.com/sarincr/introduction-to-pyqt5
PyQt5 is a comprehensive set of Python bindings for Qt v5. Qt is set of cross-platform Python libraries that implement high-level APIs for accessing many aspects of modern desktop and mobile systems.
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Last synced: 13 Apr 2026
https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization
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https://github.com/asanka-j/machine_learning_exercises
Machine learning Self study Python & R
matplotlib numpy pandas python r sklearn
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https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split
Last synced: 10 Apr 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/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
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https://github.com/nirmalvatsyayan/data-analyst-nanodegree
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data-analysis numpy pandas python statistics udacity-data-analyst-nanodegree
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https://github.com/rkarahul/vehicle-number-plate-detection-and-ocr-reading-using-opencv-and-paddleocr
complated Vehicle Number Plate Detection and OCR Reading Using OpenCV and PaddleOCR
numpy opencv paddleocr paddlepaddle pandas python
Last synced: 12 Apr 2026
https://github.com/alexandrbig1/py-design-analysis-algo
Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.
algorithms asyncio git heapq matplotlib numpy python python3 turtle
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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/nguyenanhtuan1912/computer_vision_exercises
Trong này sẽ chứa các file source về bài tập Computer Vision.
computer-vision numpy opencv python
Last synced: 12 Apr 2026
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/balaji24092001/python
All python related content: notes, problems, progress archive.
matplotlib numpy opencv pandas python3 scipy-stats seaborn sklearn sqllite
Last synced: 12 Apr 2026
https://github.com/singhmnprt01/Custom-Deep-Neural-Network-Package
A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy
customized-deep-neural-network deep-learning-framework maths-behind-neural-network numpy
Last synced: 09 Jul 2025
https://github.com/tom474/rice_plant_disease_classification
[RMIT 2025A] COSC2753 - Machine Learning - Group Assignment
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 11 Jun 2025
https://github.com/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/harshita2234/breast-cancer-prediction
A machine learning project to predict breast cancer using logistic regression. This project includes data preprocessing, feature scaling, model training, and evaluation, based on a guided project from Coursera.
breast-cancer-prediction jupyter-notebook logistic-regression machine-learning matplotlib numpy pandas scikit-learn
Last synced: 12 Apr 2026
https://github.com/abrarshahok/wildlife-species-identification-using-cnn
In this project i've built and trained a Convolutional Neural Network (CNN) to classify wild animals.
cnn cnn-classification cnn-keras cnn-model convolutional-neural-networks neural-network numpy opencv pandas python scikit-learn tensorflow wildlife-classification
Last synced: 12 Apr 2026
https://github.com/paulo-santos-ds/dados-telefonia
Este projeto tem como objetivo desenvolver um modelo que possa analisar o comportamento do cliente e recomendar um dos planos mais recentes de uma companhia telefônica fictícia.
matplotlib numpy pandas python3 sklearn
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https://github.com/lakhidaksh-01/carinsightanalyzer
Interactive Car Ratings & Insights
cars matplotlib numpy pandas python seaborn streamlit
Last synced: 10 Apr 2026
https://github.com/hansalemaos/cythonunique
Fast implementation of unique elements in an array - up to 30x faster than NumPy
Last synced: 28 May 2026
https://github.com/msthamizh/bizcardx-extracting-business-card-data-with-ocr
Developing a Streamlit application that enables users to upload business card images and extract key details using easyOCR. The app allows users to manage the extracted data (view, update, delete) and securely stores it in a MySQL database. It also highlights extracted text directly on the business card image using Pillow.
easyocr mysql numpy pandas pillow python regular-expression streamlit
Last synced: 10 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
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https://github.com/mgobeaalcoba/survival_predictor_on_the_titanic_scikit_learn
Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.
matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction
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https://github.com/aymen016/data-visualization
A collection of data analysis projects using Python, covering various datasets and domains. Includes EDA, preprocessing, data visualization (Matplotlib/Seaborn), and Power BI dashboards.
dashboard eda jupyter-notebook matplotlib-pyplot matplotlib-python numpy pandas pandas-dataframe powerbi python seaborn seaborn-python visualization
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https://github.com/403errors/offset-to-hydrostatic-curve
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data-visualization matplotlib-pyplot numpy python3 sklearn
Last synced: 10 May 2026
https://github.com/dhruvv1402/ai-based-realtime-hand-detection-using-opencv-and-mediapipe
A real-time AI system for detecting and tracking hands using Python, OpenCV, and Mediapipe. This project demonstrates how to identify hand landmarks and extract gesture data for further applications like gesture control, sign language interpretation, and more.
mediapipe numpy opencv os python python3 time
Last synced: 12 Apr 2026
https://github.com/simran1002/strip-analyzer
The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.
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https://github.com/localhostpib/pythonplayground
Playground of destruction :-D
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https://github.com/ashishtukaral/sign-language-recognition-using-ai
A real-time Sign Language Recognition system using AI to translate hand signs into text and speech, enhancing communication for individuals with hearing impairments. This web application leverages neural networks and computer vision to provide accurate and accessible translation.
ann classification cnn computer-vision deep-learning flask keras machine-learning matplotlib neural-network numpy oops opencv pandas python3 tensorflow
Last synced: 04 Feb 2026
https://github.com/rekha0suthar/e-commerce-shopper-s-behaviour-understanding
Understand the online shopper purchasing pattern through Machine learning
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https://github.com/pandeyankit123/books-recommender-system-using-machine-learning
This is a streamlit web application that can recommend various kinds of similar books based on an user interest.
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https://github.com/nemeslaszlo/lending-club-analysis
Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.
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https://github.com/burakkagann/pixels2genai-2.0
Free, open-source curriculum teaching generative art and AI across 15 modules, from a single pixel to diffusion models.
computer-vision creative-coding curriculum deep-learning design-based-research diffusion-models education gans generative-ai generative-art machine-learning numpy pytorch touchdesigner vae
Last synced: 19 Jun 2026
https://github.com/williyam-m/movie-recommendation-system
Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.
django machine-learning numpy pandas prediction-model python scikit-learn
Last synced: 10 Apr 2026
https://github.com/subhash3/neural_net_using_numpy
Feed Forward Neural Networks using Numpy
feedforward-neural-network from-scratch neural-network nicenet numpy python3
Last synced: 14 Apr 2025
https://github.com/m-faizan-mahmood/house-price-prediction-machine-learning-model
Implemented a Multiple Linear Regression model to predict house prices based on square footage, number of bedrooms, and age of the house.
artificial-intelligence data-analysis data-science data-visualization machine-learning machine-learning-algorithms matplotlib neural-network numpy pandas predictive-modeling python regression-models seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/bbergerud/faraday_complexity
Classifying complex Faraday sources with Keras
astronomy cnn-classification deep-learning faraday-rotation keras numpy tensorflow
Last synced: 10 Apr 2026
https://github.com/codehass/facial-emotional-detection
Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
Last synced: 12 Apr 2026
https://github.com/huangcongqing/python-libraries
python库(numpy,pandas...)学习
matplotlib numpy pandas python3 xgboost
Last synced: 09 Mar 2026
https://github.com/kumartusha/data_scientist-ai-ml-_training_anudip_foundation
Anudip Foundation Data Analytics Training 📊 A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: 🧹 Data Cleaning & Preprocessing 📉 Data Visualization & EDA 📊 Statistical Analysis
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Last synced: 10 Apr 2026
https://github.com/satvikpraveen/fashionmnist-analysis
A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.
computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg
Last synced: 22 Apr 2025
https://github.com/thamirisq/data_analysis_culinary_journey
Project to analyze key information from Culinary Jorney, a marketplace Company, and develop an initial strategy to lead the entire team effectively.
folium-maps groupby-method jupyter-notebook markercluster marketplace-ds matplotlib-pyplot numpy pandas pandas-dataframe streamlit
Last synced: 10 Apr 2026
https://github.com/osx-rsplug-a/py_studies
Python studies
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https://github.com/surtecha/multi-physics-simulation-engine
A real world physics simulation application built with python
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https://github.com/cusyio/datenverarbeitung-mit-numpy
Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.
Last synced: 08 Jun 2026
https://github.com/nikita-data/unit_economics_projects
unit economics & cohort analysis projects
cac churn-rate conversion create-function data-analysis data-visualization eda hypothesis-testing ltv math matplotlib numpy python retention-rate roi scipy seaborn segmentation statistics unit-economics
Last synced: 06 Jan 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/gandhasiri-rahul-mohan/random-forests-q2-company_data
About the data: Let’s consider a Company dataset with around 10 variables and 400 records.
data-science machine-learning numpy pandas python random-forest seaborn-plots
Last synced: 07 Apr 2026
https://github.com/nikita-data/eda_projects
Exploratory data analysis projects
cac data-analysis data-visualization eda folium-maps hypothesis-testing ltv math matplotlib numpy plotly python regular roi scipy seaborn segmentation statistics unit-economics
Last synced: 06 Jan 2026
https://github.com/moinak-majumdar/fake-currency-detection
Indian fake currency detecting mobile application.
cnn deep-learning flutter getx keras machine-learning mobile-app neural-network numpy random-forest scikit-learn support-vector-machines tensorflow
Last synced: 12 Apr 2026
https://github.com/serratotech/python3-for-finance
Investment fundamentals & data analytics exercises
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Last synced: 12 Apr 2026
https://github.com/jbayardo/aa-tp1
Machine learning on spam
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Last synced: 10 Apr 2026
https://github.com/mattdelaune/saas_cohort_analysis
This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.
anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn
Last synced: 03 Jan 2026
