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/srujayreddy/selling-laptops
Predicting whether users will click on a promotional email for laptops based on historical user data and browsing logs.
customer-behavior-analysis feature-engineering logistic-regression machine-learning marketing-analytics numpy pandas predictive-modeling scikit-learn
Last synced: 12 Apr 2026
https://github.com/torahappy/takasa
OpenStreetMap 高低差を考えた最短（？）経路問題ソルバー
numpy openstreetmap scipy shortest-path
Last synced: 30 Apr 2026
https://github.com/ayaanjawaid/brain_stroke_prediction
project aims to predict the likelihood of a stroke based on various health parameters using machine learning models. The dataset is preprocessed, analyzed, and multiple models are trained to achieve the best prediction accuracy.
decision-trees exploratory-data-analysis matplotlib numpy pandas python regression xgboost
Last synced: 07 May 2026
https://github.com/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/sralter/term_deposit_marketing
Predicting which customers will most likely purchase a type of financial product, achieving a time savings of over 93%.
matplotlib numpy optuna pandas seaborn sklearn
Last synced: 30 Apr 2026
https://github.com/clayrisser/math-playground
Personal math playground
graph math matplotlib numpy playground python
Last synced: 26 Apr 2026
https://github.com/rishabhmathur06/imagecompressor-using-cnn
cnn computer machine-learning numpy tensorflow
Last synced: 15 Apr 2026
https://github.com/brpy/100-prisoners-problem
Simulation of 100 Prisoners Problem using Python
numpy python simulation veritasium
Last synced: 14 Apr 2026
https://github.com/yangeorget/clustering-algorithms
K-means and C-means experiments with Numpy
clustering clustering-algorithm numpy
Last synced: 02 Apr 2026
https://github.com/kishlayjeet/zomato-data-exploration
In this project, we will be exploring a dataset containing information on various restaurants and their ratings, location, and other attributes.
data-analysis eda matplotlib numpy pandas zomato-data-exploration
Last synced: 10 Apr 2026
https://github.com/anish202020/real-time-emotion-face-detection
The primary purpose of this website is to detect emotions in real-time using facial expressions captured via a camera.
fer keras numpy opencv python streamlit tensorflow
Last synced: 12 Apr 2026
https://github.com/anarya22/heart-disease-classification
Predicting heart disease using machine learning. This notebook looks into various python base ML and DS libraries in an attempt to build a machine learning model capable of predicting whether or not someone has heart disease based on their medical attributes.
data-cleaning data-visualization machine-learning matplotlib numpy pandas scikit-learn
Last synced: 01 May 2026
https://github.com/coqui123/tradegpt
TradeGPT is a full-stack cryptocurrency trading application that combines a modern Fresh (Deno) frontend with a Python (FASTAPI) backend for Coinbase integration and Azure AI Services for intelligent trading analysis. 💹
analytics automation cryptocurrency data deno fastapi fresh numpy python trading-algorithms trading-strategies tradingbot typescript
Last synced: 11 Apr 2026
https://github.com/pr38/cox_ph_estimation_notebooks
Personal discovery work on estimating Cox Proportional hazards coefficients for for both breslow and efron ties, using both autograd and directly calculating the gradient and hessian
cox-regression dask data-science machine-learning numpy pytensor statistics survival-analysis
Last synced: 15 Apr 2026
https://github.com/jayakrishnagaddam/deep_sheild_
This is a Machine Learning applied Artificial intelligence project. Deepsheild is a cutting-edge deepfake detection system designed to safeguard the integrity of visual content in an era where synthetic media poses unprecedented challenges. Deepsheild stands as a robust fortress against the proliferation of manipulated videos and images.
artificial-intelligence bootstrap css cv2 deep-learning flask html machine-learning mongodb numpy tensorflow torch
Last synced: 11 Jan 2026
https://github.com/lynk4/ai-ml
Artificial Intelligence (AI) and Machine Learning (ML) ....;)
ai artificial-intelligence huggingface huggingface-transformers machine-learning-algorithms machinelearning numpy pandas prediction-model predictions python python3 sckit-learn sentiment-analysis
Last synced: 15 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/celineboutinon/bottleneck
ENSAE-ENSAI Formation Continue (Cepe)/OpenClassrooms Data Analyst 2022-2023 - Projet 5
data-analysis data-analytics data-visualisation dataframes market-intelligence marketing-analytics matplotlib-pyplot missingno numpy pandas python seaborn
Last synced: 07 Sep 2025
https://github.com/hansalemaos/cythonnestednumpy
performs sorting and grouping operations on multidimensional NumPy arrays using Cython and hash-based algorithms.
Last synced: 07 Jan 2026
https://github.com/macagua/entrenamiento.data_scientist_python
Repositorio de manuales y recursos del entrenamiento "Data Scientist en Python" realizado por Leonardo J. Caballero G.
data-analytics data-scientist data-visualization numpy pandas-dataframe python37 streamlit
Last synced: 01 May 2026
https://github.com/athari22/house_sales_in_king_count_usa
The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.
analysis data data-science data-visualization ibm ibm-watson linearregression machine-learning matplotlib numpy pandas sklearn-library
Last synced: 01 May 2026
https://github.com/cchandre/gc2d
Guiding-center dynamics in plasma physics
hamiltonian numpy plasma-physics pyhamsys scipy symplectic-integrator
Last synced: 01 May 2026
https://github.com/ayushsaksena30/cosmic-classifier
This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.
catboost-classifier label-encoder machine-learning matplotlib numpy pandas robust-scaler scikit-learn seaborn simple-imputer
Last synced: 15 Apr 2026
https://github.com/mamtapanda088/uber-data-analysis
Uber data analysis involves studying trip trends, peak hours, popular locations, fare patterns, and visualizing insights using Python.
jupyter-notebook matplotlib numpy pandas python3 seaborn
Last synced: 15 Apr 2026
https://github.com/martincastroalvarez/python-deep-learning-algorithms
Combinatorics implemented with numpy, matplotlib and scipy.
algebra combinatorics matplotlib numpy python scipy
Last synced: 13 Apr 2026
https://github.com/csoren66/credit-card-fraud-detection
Credit card fraud detection through logistic regression.
logistic-regression machine-learning numpy pandas python sklearn
Last synced: 03 Mar 2025
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/cchandre/rg
Renormalization for the break-up of invariant tori in Hamiltonian flows
expm hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 renormalization-group scipy
Last synced: 01 May 2026
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!
fake-news-detection machine-learning machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 10 Apr 2026
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/back2matching/turboquant-vectors
Compress embeddings 6x instantly with TurboQuant. First pip package using Google's TurboQuant (ICLR 2026) for vector search. 71.9% recall vs FAISS PQ 13.3%.
compression embeddings faiss machine-learning numpy quantization rag turboquant vector-search
Last synced: 08 Jun 2026
https://github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem
🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!
data-science jupyter keras notebooks numpy pandas python pytorch
Last synced: 12 Jun 2025
https://github.com/kr1shnasomani/sentimentscope
Sentiment analysis on movie review using TensorFlow and GloVe embeddings
deep-learning keras matplotlib natural-language-processing neural-networks numpy pandas scikit-learn tensorflow
Last synced: 12 Apr 2026
https://github.com/y-india/project-smart-attendance-system-opencv
AI-powered Smart Attendance System using Face, Eye, and Mask detection — automates daily attendance with real-time computer vision and CSV logging. | see README below , please.
attendance-system automation cctv-cameras cctv-detection numpy opencv opencv-python pandas project projects python python3 real-world-problem-solving real-world-project webcam
Last synced: 02 May 2026
https://github.com/moataz-elmesmary/analog-clock-opencv
Computer vision project implemented with OpenCV
computer-vision cv2 numpy opencv
Last synced: 07 May 2026
https://github.com/imswappy/ads-eda-predictor
Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.
adf breusch-pagan cointegration lasso-regression linear-regression matplotlib-pyplot numpy pandas random-forest ridge-regression seaborn sklearn
Last synced: 02 May 2026
https://github.com/yessasvini23/deepfake_immunization_toolkit
🛡️ AI-powered toolkit to detect deepfakes, educate users, and verify content authenticity using federated learning and blockchain. Built for election security, media integrity, and digital literacy.
blockchain matplotlib numpy opencv python pytorch scikit-learn
Last synced: 11 Apr 2026
https://github.com/akashash01/akash_linear-regression
This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).
anova-test autocorrelation data-science heteroscedasticity linear-regression machine-learning mape multicollinearity numpy pandas python supervised-learning
Last synced: 07 May 2026
https://github.com/elissorokin/data-analyst-portfolio-rus
Это репозиторий, в котором я демонстрирую свои навыки, делюсь проектами и отслеживаю прогресс в области анализа данных и Data Science.
ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis
Last synced: 25 Feb 2026
https://github.com/varun-khorgade/churnshield-customer-retention-predictor
Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.
classification-algorithm datapreprocessing f1-score feature-engineering hyperparameter-tuning logistic-regression matplotlib model-evaluation numpy pandas python ran roc-auc scikit-learn seaborn xgboost
Last synced: 07 May 2026
https://github.com/justsecret123/one-piece-characters-detector
An object detector trained with a Kaggle GPU, using Tensorflow and a fine-tuned ssd resnet50.
artificial-intelligence computer-vision convolutional-neural-networks deep-learning deep-neural-networks docker fine-tuning jupyter kaggle kaggle-dataset matplotlib numpy object-detection python single-shot-detector tensorflow tensorflow-object-detection tensorflow-serving transfer-learning
Last synced: 11 Apr 2026
https://github.com/khaymanii/titanic_survival_prediction_-model
This Model was built using Python and Logistic Regression algorithm
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 May 2026
https://github.com/rajharit77/weather-project
Repository for exam on the openweathermap api's project
apache-airflow dataframe jupyter-notebook looker-studio matplotlib numpy openweathermap-api pandas python
Last synced: 02 May 2026
https://github.com/prashver/titanic-survival-prediction
This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.
classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
Last synced: 02 May 2026
https://github.com/iv4n-ga6l/realtime-car-traffic-tracking
Realtime car traffic tracking using yolov8 model
cartracking numpy opencv python ultralytics yolov8 yolov8n
Last synced: 02 May 2026
https://github.com/zazi2002/machine-learning-project
Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.
dimentionality-reduction ensemble-learning numpy pca random-forest scikit-learn
Last synced: 02 May 2026
https://github.com/beliavsky/array-compiler
Translate Python/NumPy and other array languages to Fortran
array-programming fortran linear-algebra modern-fortran numpy python scientific-computing transpiler
Last synced: 27 May 2026
https://github.com/parawanderer/quantumcircuitdesigner
Interactive quantum circuit simulator
diagrams-as-code mathematics numpy quantum-computing tkinter-gui
Last synced: 29 May 2026
https://github.com/vineet416/chronic-kidney-disease-prediction
This repository contain code of Chronic Kidney Disease Detection Prediction Project. The goal of this project is predict the chronic kidney disease using parameters like Diabetes Mellitus, Blood Urea, Sugar, Hypertension etc.. I used multiple machine learning algorithms with hyperparameter tuning which is having highest accuracy score of 97.5
data-visualization data-wrangling exploratory-data-analysis feature-engineering feature-selection hyperparameter-tuning machine-learning matplotlib numpy pandas plotly pre-processing python seaborn sklearn-library statsmodels
Last synced: 14 Apr 2026
https://github.com/adalbertobrant/macd
Estudando sobre o uso do streamlit com geração de gráficos e dados da B3
bovespa box-plot golden-cross macd numpy python single-moving-average steamlit stocks
Last synced: 07 Feb 2026
https://github.com/shanmukhsrisaivedullapalli/smsspamclassification
SMSSpamClassification is a machine learning project aimed at accurately classifying SMS messages as either spam or ham (non-spam). It employs natural language processing techniques to extract relevant features from the text data and utilizes various classification algorithms to build a robust spam detection model.
jupyter-notebook numpy pandas pickle python3 sklearn spam-classification spam-detection
Last synced: 11 Apr 2026
https://github.com/tynab/descriptive-statistics
CyberSoft Machine Learning 03 - Descriptive Statistics
anaconda anaconda-navigator cybersoft-academy cybersoft-academy-machine-learning cybersoft-academy-ml cybersoft-machine-learning cybersoft-ml descriptive-statistics jupyter-notebook labelencoder machine-learning mathplotlib numpy onehotencoding pandas python scikit-learn scipy seaborn sklearn
Last synced: 09 Feb 2026
https://github.com/grampers-dev/co2oracle
The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for environmental management. Using a Kaggle dataset, it demonstrates predictive analytics to understand and forecast emissions. Written in Python, it employs libraries like Pandas, NumPy, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn
Last synced: 07 Feb 2026
https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis
This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.
backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning
Last synced: 16 Feb 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.
Last synced: 03 May 2026
https://github.com/elazzouzihassan/si-fraud-detection-prototype
Système de Détection des Fraudes avec Python (Prototype).
googlecolab matplotlib numpy pandas python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/mahboobehad/ocausal
Outlier Causal Relations
causality-analysis datamining networkx notebook numpy outlier-detection python
Last synced: 14 Apr 2026
https://github.com/mardavsj/numpy-in-python
The fundamentals of Python NumPy Library.
analysis-tool data-manipulation numpy numpy-arrays numpy-matrix python
Last synced: 14 Apr 2026
https://github.com/fsubject/rotating-cube
Rotating Cube is a 3D engine made from scratch
3d 3d-engine 3d-graphics from-scratch numpy pygame python
Last synced: 31 Jan 2026
https://github.com/apoorva-info/eye-blink-detetction
Blink Detector Sensitive to Facial Orientation
mediapipe numpy opencv python3
Last synced: 28 Apr 2026
https://github.com/saptak625/doublependulum
This repository is my derivation of the equations of motion of a double pendulum using Lagrangian Mechanics and then solving the nonlinear, coupled equations using a Runge-Kutta 45 integration scheme.
differential-equations lagrangian-mechanics matplotlib numerical-integration numpy python scipy vpython
Last synced: 03 May 2026
https://github.com/nemeslaszlo/heart-disease
Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.
classification knearest-neighbor-classifier logistic-regression mathplotlib numpy pandas randomforest-classification scikit-learn seaborn
Last synced: 15 Apr 2026
https://github.com/byigitt/smartmove
fake data generation and analysis for ankara metro station
ankara cv2 metro numpy pandas scikit-learn
Last synced: 03 May 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/arjunan-k/netflix_analysis
Exploratory Data Analysis on Netflix Movies & TV Shows.
matplotlib numpy pandas plotly seaborn
Last synced: 09 May 2026
https://github.com/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/simranjeet97/quotes-analysis
Kaggle Dataset on Quotes Analysis and Visualization With Python, Pandas and MatplotLib Using Jupyter Notebook.
data data-science datavisualization jupyter-notebook kaggle kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python quotes quotes-application
Last synced: 15 Apr 2026
https://github.com/vidursatija/tensorpy
A simple NumPy autodiff library
autograd machine-learning numpy python
Last synced: 03 May 2026
https://github.com/abhihirekhan/abhi-s-data-science-portfolio
A list of data science projects completed by me for academic, self learning, and creative purposes
datascience ipynb-jupyter-notebook jupyter jupyter-kernels jupyter-notebook keras-tensorflow machine-learning numpy pandas portfolio python tensorflow
Last synced: 31 Jan 2026
https://github.com/wilfriedmercier/somptimised
An optimised version of sklearn-som with extended functionalities.
machine-learning machine-learning-algorithms numpy python python3 self-organizing-map som
Last synced: 09 Jun 2026
https://github.com/asit-14/python-programming
This repository contains all the programs and resources we will use to learn Python programming. It also includes various modules, Python libraries, and several project examples to enhance our learning experience.
matplotlib modules numpy pandas python tkinter
Last synced: 03 May 2026
https://github.com/imaginesamurai/advanced-vision-system
A Python-based camera handling utility that provides seamless control over video capture with advanced zoom functionality. Features include adjustable resolution, smooth digital zoom controls, and efficient frame processing, ideal for computer vision applications.
camera computer-vision cv2 cv2-library night-vision night-vision-camera night-vision-goggles numpy opencv opencv-python python python3 real-time realtime stable supoort thermal thermal-camera thermal-images video
Last synced: 16 Apr 2026
https://github.com/antoniojcosta/calculus-exercises
Numerical Calculus exercises solved using python.
calculus calculus-course fraction jupyter-notebook mathematics matplotlib numpy phisics python sympy
Last synced: 03 May 2026
https://github.com/simipk12/eda-healthcare-project
Healthcare Insurance Cost Analysis This project analyzes the Healthcare Insurance dataset to explore factors that influence medical charges. The goal is to identify key drivers of insurance costs, detect outliers, and provide actionable insights for individuals, insurance companies, and policymakers.
eda matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/faisal-khann/diwali-sales-analysis
The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future
csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/faisal-khann/comprehensive_banking_portfolio
This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.
data-manipulation eda matplotlib numpy pandas powerbi python seaborn
Last synced: 20 Apr 2026
https://github.com/34j/numpy-flint-arb
Arbitrary precision floating / ball arithmetic (interval arithmetic) dtype in NumPy / array API
acb arb arbitrary-precision array-api flint interval-arithmetic mpmath numpy
Last synced: 10 Mar 2026
https://github.com/musfiquejim/enacp-a-hybrid-machine-learning-framework-for-detecting-anticancer-peptides
EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।
adamoptimizer ai cnn-classification data-visualization deep-learning densenet inceptionv3 machine-learning matplotlib-pyplot numpy pandas randomforestclassifier randomforestregressor restnet sklearn u-net-pytorch vgg16 vgg19
Last synced: 04 May 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/bhavyemathur/redstone-ml
High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust
autograd-engine linear-algebra machine-learning numpy pytorch tensor
Last synced: 17 Apr 2026
https://github.com/savernish/forgenn
forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.
artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors
Last synced: 08 Oct 2025
https://github.com/huangcongqing/python-libraries
python库(numpy,pandas...)学习
matplotlib numpy pandas python3 xgboost
Last synced: 09 Mar 2026
https://github.com/aarryasutar/pipe_leak_estimation_predictor_model
The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference
bayesian-networks cpd csv dag data-frames inference model-verification numpy pandas pgmpy pressure-sensors probabilistic-graphical-models probability python variable-elimination-algorithm
Last synced: 15 Apr 2026
https://github.com/priyanka7411/customer-churn-prediction
Customer Churn Prediction using machine learning. This project covers the full data science lifecycle—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/kshitijshrivastava1903/neural_network_analysis_on_lending_club-dataset
Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.
deep-learning dropout-keras earlystopping keras-tensorflow matplotlib-pyplot neural-networks numpy pandas seaborn tensorflow-models
Last synced: 18 Feb 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/pinedah/escom_programming-for-data-science
This repository contains personal notes, exercises, and programs from the Programming for Data Science course at Instituto Politécnico 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/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/rish-16/linearly
Discount NumPu implementation using barebones Linear Algebra concepts
Last synced: 19 May 2026
https://github.com/Shriram-Vibhute/RealEstateForecast-Price-Prediction-System
This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.
exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn
Last synced: 02 Apr 2025
https://github.com/krik8235/ml-marcom-budget-optimization
Optimize budget allocation across multiple marketing channels to maximize revenue
gradient-boosting machine-learning-algorithm machine-learning-algorithms machine-learning-projects numpy pandas random-forest seaborn sklearn
Last synced: 04 May 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
Last synced: 12 Apr 2026
https://github.com/prithivsakthiur/qwen-image-edit-2509-loras-fast
Qwen-Image-Edit-2509-LoRAs-Fast is a high-performance, user-friendly web application built with Gradio that leverages the advanced Qwen/Qwen-Image-Edit-2509 model from Hugging Face for seamless image editing tasks.
aoti diffusers diffusion-models flash-attention-3 huggingface-spaces huggingface-transformers kernel numpy peft python pytorch qwen-image-edit qwen-image-edit-2509 qwen2-5-vl qwen3-vl torch torchvision
Last synced: 03 May 2026
