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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/muhammadusman-khan/e-commerce-store-eda
Exploratory Data Analysis on E-commerce store data to uncover insights about sales trends, customer behavior, and product performance using Python libraries like Pandas, NumPy, and Matplotlib/Seaborn.
data-analysis data-science data-visualization e-commerce eda exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/snehasunilnair/image-processing-projects
Image pre-processing techniques using OpenCV.
Last synced: 29 Apr 2026
https://github.com/andryadsm/asset-analyzer
📈 Project Asset Analyzer (Python)
commodities data-analysis data-visualization economics financial-markets investing matplotlib numpy pandas python seaborn stock-market strategy trading
Last synced: 29 Apr 2026
https://github.com/hansalemaos/create_empty_image
Creates new/empty cv2 images/numpy arrays
Last synced: 30 Apr 2026
https://github.com/priyansusahoo/face_recognition
Major Project: Attendance system project using Face Recognition
face-recognition numpy opencv-python python3
Last synced: 30 Apr 2026
https://github.com/samiksha29-patil/hr-employee-data-analysis-visualization-in-python
This project focuses on analyzing an HR Employee Dataset that contains details about employees such as demographics, job status, salaries, performance reviews, satisfaction levels, and attrition reasons.
csv-files data data-visualization dataanalysis matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/sjain2580/simple-linear-regression-model
This project demonstrates a simple, yet robust, multiple linear regression model built with Python and scikit-learn to predict median house values in California.
joblib linear-regression matplotlib matplotlib-pyplot numpy python scikit-learn
Last synced: 30 Apr 2026
https://github.com/shohail-dev/python-sales-analysis
Python analysis project :- Analyze Diwali sales data to improve customer experience and sales .
matplotlib numpy pandas python-lambda python3 seaborn
Last synced: 30 Apr 2026
https://github.com/gill-singh-a/radial-velocity-of-star
A Program that approximates the number of exoplanets and their data (Mass, Radius of Revolution and Time Period of Revolution) present in a star system given the Radial Velocity of Star with noise
astronomical-data-analysis astronomy exoplanets fourier-transform matplotlib numpy physics python python-3 science stars
Last synced: 30 Apr 2026
https://github.com/pramodyasahan/grade-predictor
This project aims to predict student performance based on various features such as job, study time, failures, absences, and first and second period grades. The project utilizes a linear regression model from the scikit-learn library in Python.
machine-learning matplotlib numpy pandas python regression scikit-learn
Last synced: 30 Apr 2026
https://github.com/ebadshabbir/naive_bayes_classification-gaussain-
A Python project that applies Naive Bayes classification to predict user purchases based on age and salary using the Social Network Ads dataset. The project includes data preprocessing, model training, prediction, and visualization of decision boundaries for both training and test datasets.
classification gaussian jupyter-notebook machine-learning matplotlib-pyplot naive-bayes-classifier numpy pandas python
Last synced: 30 Apr 2026
https://github.com/shakhthi/network_security
matplotlib numpy pandas pymongo seaborn sklearn
Last synced: 30 Apr 2026
https://github.com/redinfinitypro/python-task-manager
Rating: (7/10): The Python Task Manager, is a user-friendly interface using tkinter library for system monitoring and management. It displays detailed system process information using psutil, with interactive features.
matplotlib numpy psutil pygetwindow tkinter
Last synced: 30 Apr 2026
https://github.com/ayushshrivstava/es654_prereqtest
Prerequisite test for the Machine Learning course ES654
jax matplotlib numpy pandas sympy
Last synced: 30 Apr 2026
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.
Last synced: 30 Apr 2026
https://github.com/darinochka/course_python_iad
ДЗ\Семинары майнора "Интеллектуальный анализ данных"
machine-learning numpy pandas python3
Last synced: 30 Apr 2026
https://github.com/lmizner/codecademy_biodiversity
Using knowledge of data analysis to interpret data about endangered animals for the National Park Service
barplot jupyter-notebook matplotlib-pyplot numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/mogankumar/bird-flock-simulation-with-pyspark
A PySpark-based bird flock simulation modeling alignment, cohesion, and separation forces with a leader guiding the flock. Efficiently handles large-scale simulations and generates a visualized GIF of the flock’s movement.
argparse matplotlib numpy pyspark python3
Last synced: 01 May 2026
https://github.com/priyanshgoantiya/confidence-interval-visualization
Confidence Interval Simulation
matplotlib numpy plotly seaborn
Last synced: 01 May 2026
https://github.com/splithor1zon/edu-barriermethodlp
Education material for learning/teaching of Linear Progrmming using Barrier Method. Presentation with commentary and python code available.
barrier-method convex-optimization cvxpy educational-project linear-programming numpy presentation python
Last synced: 01 May 2026
https://github.com/hghyhghy/notebook
Repo consist numpy , matplotlib and pymongo aggression
jupyter-notebook matplotlib numpy pymongo python-3
Last synced: 01 May 2026
https://github.com/cbhihe/nn_binary-classifier
NN-based binary classification with logistic regression loss, back-propagation with gradient descent and optional regularization
classifier gradient-descent logistic-regression neural-network numpy python regularization sklearn
Last synced: 01 May 2026
https://github.com/paulo-santos-ds/analise_dados_musicais
Dashboard para compreender as preferências musicais dos ouvintes, tendências regionais e o impacto de artistas específicos.
Last synced: 01 May 2026
https://github.com/offthetab/nn_homework
Практические работы по нейронным сетям МИРЭА 3 курс.
gensim ignite matplotlib neural-network nltk numpy pandas scipy-stats seaborn torch torchvision
Last synced: 01 May 2026
https://github.com/aniketwithpython/fundamentals-of-scientific-computing
Fundamentals of Scientific Computing (MS1980) Notebook
jupyter matplotlib numpy pandas python
Last synced: 01 May 2026
https://github.com/meepo69/urban-air-quality-prediction-using-deep-learning
deeplearning nueral-networks numpy python pytorch
Last synced: 01 May 2026
https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024
This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.
bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas
Last synced: 01 May 2026
https://github.com/v-goncharenko/freespace
Implementation of signal propagation in free space
numpy python signal-processing
Last synced: 02 May 2026
https://github.com/lipskiyp/trading_dashboard
Pandas framework to analyze financial time-series and calculate various performance metrics (e.g. Sharpe Ratio and Max Drawdown Duration).
financial-analysis numpy pandas
Last synced: 02 May 2026
https://github.com/fabriciocovalesci/sistema-vendas-graficos
Sistema simples de vendas e estoque, com gráficos usando Matplotlib
matplotlib matplotlib-pyplot numpy python-script python3 venv virtualenv
Last synced: 02 May 2026
https://github.com/camsai/jupyterlite
CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.
chemistry jupyterlite materials materials-design materials-informatics materials-science matplotlib numpy pyodide python scipy
Last synced: 02 May 2026
https://github.com/hariprasath-v/solafune_aerosol_optical_depth_estimation
Estimate AOD using Sentinel-2 data, leveraging its spectral bands and spatial resolution to improve accuracy.
catboost efficientnet exploratory-data-analysis huggingface jupyter-notebook matplotlib numpy pandas pearson-correlation python remote-sensing seaborn solafune timm transformer
Last synced: 02 May 2026
https://github.com/ksharma67/intel-stock-predication-wiith-eda
We are trying to design a model that can predict the price of stock using different methods and algorithms.
eda linear-regression machine-learning-algorithms matplotlib numpy pandas prediction python scaler seaborn skit-learn
Last synced: 02 May 2026
https://github.com/baranovserv/h-s-diagram
Парсер данных построения H-S диаграммы для веществ
diagrams json matplotlib numpy parser requests
Last synced: 02 May 2026
https://github.com/helenaden/data-science-fundamentals
This project delves into fundamental data science concepts using Python libraries like NumPy and Pandas
data-analysis datascience datasets datavisualization datawrangling heatmap numpy pandas patterns python
Last synced: 03 May 2026
https://github.com/krumyakimov/house-price-developments-in-bulgaria
I developed this project for my final exam in the Data Science course at SoftUni.
data-science jupyter-notebook matplotlib numpy pandas scipy seaborn
Last synced: 03 May 2026
https://github.com/kisaa-fatima/foreground-segmentation-using-kmeans-face-recognization-using-knn
Implement a basic version of the interactive image cut-out/segmentation approach called Lazy Snapping. The program uses K-Means Clustering to segment images into foreground and background based on user-provided seed pixels.
face-recognition foreground-segmentation kmeans-clustering knn-classification matplotlib numpy opencv2 pil
Last synced: 03 May 2026
https://github.com/thiagonunesbatista/deuteranopia-simulator-computer-vision-python
Live color detection with a webcam and a simulation of deuteranopia's color perception effects.
computer-vision numpy opencv python
Last synced: 03 May 2026
https://github.com/abhijais4896/cardiovascular-disease-prediction
Cardiovascular Disease Prediction using machine learning and Python
data-analysis datascience deep-learning machine-learning matplotlib numpy pandas python seaborn visualization
Last synced: 03 May 2026
https://github.com/jsnevt/decisiontreecls
Data Science - Árvores aleatórias - RandomForestClassifier
decision-tree-classifier matplotlib numpy pandas seaborn
Last synced: 03 May 2026
https://github.com/pramodyasahan/binary-classifier
This repository houses the code for a machine learning model designed to predict customer churn. The model is built using Support Vector Machine (SVM) from the scikit-learn library and incorporates preprocessing, pipeline, and grid search techniques for optimal performance.
Last synced: 03 May 2026
https://github.com/zongxr/dcic2025-riverwaterprediction
闽江,福建省最大独流入海河流,流域降水丰沛。在新型电力系统和新阶段水利高质量发展的环境下,如何缓解流域防汛压力,提升水资源利用率是水电企业高质量发展的重中之重。目前,基于传统水文学原理已实现未来9小时甲级精度的洪水预报,但存在遇见期与预见精度上仍有提升空间,因此,通过结合人工智能技术实现流域入库流量的精准预测,对保障水库安全调度、防洪及清洁能源稳定供应具有重大战略意义。
lightgbm machine-learning numpy pandas sklearn time-series xgboost
Last synced: 03 May 2026
https://github.com/veranyagaka/python
Everything Python
matplotlib mysql numpy oop-in-python pandasql python
Last synced: 03 May 2026
https://github.com/lmizner/codecademy_product_defects
Practicing rules of probability, set theory, and distributions
cdf jupyter-notebook numpy pmf ppf python rvs scipy-stats
Last synced: 03 May 2026
https://github.com/alvii147/discretetimelib
Python library for analysis of discrete time signals and systems
numpy pandas scipy signals-and-systems sympy
Last synced: 03 May 2026
https://github.com/takana671/noisetexture
Generating noise texture images.
cellular-noise cython domain-warping fractal noise-textures numpy periodic-noise perlin-noise python3 simplex-noise tileable-noise value-noise voronoi
Last synced: 03 May 2026
https://github.com/akashparley/ipl-data-analysis
The IPL Data Analysis project focuses on extracting valuable insights from IPL match data using various data analytics techniques. By analyzing historical match outcomes, player performances, team comparisons, and venue statistics, the project visualizes trends and patterns through graphs like bar charts, line graphs, and scatter plots.
analytics data-visualization excel metplotlib numpy pandas python seaborn tableau-dashboards
Last synced: 04 May 2026
https://github.com/yareva/linear-regression-predictor
Linear Regression Predictor Model
matplotlib numpy pandas python sckit-learn
Last synced: 04 May 2026
https://github.com/winterwind/covid19_transfer_learning
A larger data science project that uses a 2D Convolutional Neural Network to determine the likelyhood of having covid-19 via CT images
2d-convolution adam-optimizer binary-classification cnn convolutional-neural-networks ct-images ct-scans eigencam gradcam heatmap jupyter-notebook matplotlib matplotlib-pyplot neural-networks numpy pyplot python pytorch resnet-18 transfer-learning
Last synced: 04 May 2026
https://github.com/pomxark/smartdictor_0.1_nuitka_cleer
Распознание и озвучивание голосовым движком текста с экрана.
cv2 fuzzywuzzy kivy matplotlib-pyplot nuitka numpy pil pyautogui pyqt5 pytesseract pyttsx3 scipy silero simpleaudio torch
Last synced: 04 May 2026
https://github.com/gnikit/fileio
A template allowing to read multiple columns of tab or space delimited files. Similar functionality to numpy.loadtxt()
Last synced: 04 May 2026
https://github.com/damisparks/become_data_analyst
Are you new to Data Analysis ? Here you will find simple notebook that will help through your journey. These are personal projects I work on and still working.
data data-analysis data-visualization matplotlib numpy pandas-tutorial
Last synced: 04 May 2026
https://github.com/abhivur/graduate-income-forecaster
Contributors: Abdussalam Raheem, Chiara Su, and Joseph Botros
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 04 May 2026
https://github.com/cheese23456/ai-based_stock_analysis_and_portfolio_optimisation
📈 Analyze stocks and optimize portfolios with AI-driven insights, technical indicators, and clear investment signals for informed decision-making.
ai asset-allocation financial-analysis huggingface-spaces numpy pandas portfolio-optimisation python scipy-optimize streamlit
Last synced: 04 May 2026
https://github.com/charlenry/machine_learning_estimer_prix_voiture
Projet de Machine Learning pour estimer le prix d'une voiture d'occasion via une application
joblib jupyter-notebook matplotlib-pyplot numpy oop-python pandas plotly-express python sklearn-linear-model sklearn-linear-regression
Last synced: 04 May 2026
https://github.com/hyperplasma/olympic-visualization-analysis
Multidimensional analysis and visualization of Olympic medals, economy, and happiness index.
data-analysis data-visualization matplotlib numpy pandas python wordcloud
Last synced: 04 May 2026
https://github.com/nordic96/lanedetection
Lane Detection Module using OpenCv and Python for educational purpose.
computer-vision lane-detection matplotlib-pyplot numpy opencv python3
Last synced: 04 May 2026
https://github.com/abhijeet-bhambere/exploratory_data_analysis
A collection of several projects for conducting EDA on datasets from various sources
exploratory-data-analysis matplotlib numpy pandas python
Last synced: 04 May 2026
https://github.com/swarup-ranjan-mondal/chat-analyzer
A streamlit app to analyze whatsapp personal and group chats.
matplotlib numpy pandas python seaborn streamlit
Last synced: 04 May 2026
https://github.com/abhishekyadav915/e-commerce-sales-analysis
E-Commerce Sales Analysis is a data analysis project that explores sales data from an e-commerce platform to uncover insights and trends. The analysis includes visualizing sales performance, customer behavior, and product trends to help optimize business strategies and improve customer satisfaction.
matplotlib-pyplot numpy pandas-library plotly python3
Last synced: 04 May 2026
https://github.com/alphan26/optimal-logistics-locator
This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India
numpy pandas python sckit-learn
Last synced: 04 May 2026
https://github.com/kaungkhantkyaw1997/face_recognition
A Computer Vision tool designed to identify and recognize characters in images.
face-recognition flask numpy opencv
Last synced: 05 May 2026
https://github.com/sunnyrao07/stroke-risk-prediction
Predicting stroke risk using machine learning models based on healthcare and demographic data.
data-cleaning data-visualization decision-trees feature-engineering label-encoding matplotlib model-evaluation numpy outlier-detection pandas python random-forest scikit-learn seaborn standard-scaler
Last synced: 10 Apr 2026
https://github.com/navindafernando/face-recognition
Training a SVM Pipeline for Face Recognition :anger:
classification haar-cascade-classifier joblib machine-learning numpy opencv pipeline principal-component-analysis scikit-learn ski support-vector-machines
Last synced: 05 May 2026
https://github.com/shwetapardhi/assignment-1-q9_a--basic-statistics-level-1
Q9) Calculate Skewness, Kurtosis & draw inferences on the following data Cars speed and distance Use Q9_a.csv
kurtosis matplotlib-pyplot numpy pandas python seaborn skewness
Last synced: 05 May 2026
https://github.com/iamwatchdogs/retail-insights-from-superstore-data
An simple Data Analysis Project for finding insight within the Super store data set
conda-environment data-analytics jupyter-notebook matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/smit-joshi814/mlp
Machine Learning Using Python
classification decision-trees k-means-clustering knn machine-learning machine-learning-models matplotlib numpy pandas regression seaborn svm
Last synced: 05 May 2026
https://github.com/thomasa/python-intro
This is a Jupyter notebook slide show for a 2-hour crash intro to Python, NumPy, Matplotlib, and SciPy
matplotlib numpy python scipy tutorial
Last synced: 05 May 2026
https://github.com/elijahondiek/data-analysis-udacity
Udacity Data Analysis Nano Degree course resources
jupyter-notebook matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/zafir100100/cancer-stage-prediction
This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.
cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn
Last synced: 05 May 2026
https://github.com/cicku/en.650.672
HW of EN.650.672
analytics data-analysis numpy pandas
Last synced: 05 May 2026
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: 05 May 2026
https://github.com/tapas-gope/diwali-sales-analysis
Analyze Diwali Sales Data to improve customer experience and sales.
exploratory-data-analysis matplotlib-pyplot numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/himanshigautam-rgb/python_libraries
This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.
matplotlib numpy pandas python3
Last synced: 05 May 2026
https://github.com/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
matplotlib numpy pandas-dataframe python
Last synced: 05 May 2026
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: 05 May 2026
https://github.com/anas436/generating-maps-with-folium-using-python
folium ibm-watson numpy pandas pulgins python3 wget
Last synced: 05 May 2026
https://github.com/nandinimarepalli/ai_ml_internship_projects
Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/amruta33/lead_scoring_case_study
An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
bagging linear-regression numpy pandas python3
Last synced: 05 May 2026
https://github.com/tsungtsetu122/patternrecognition-gnn-node-classification
This project implements a Mixed Graph Neural Network (GNN) for semi-supervised multi-class node classification using the Facebook Large Page-Page Network Dataset. The goal of the project is to predict the class of each node (page) based on 128-dimensional feature vectors and the graph structure connecting the nodes.
evaluation-metrics gnn matplotlib networkx numpy optimization pandas python pytorch-geometric
Last synced: 05 May 2026
https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization
A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.
dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python
Last synced: 05 May 2026
https://github.com/nxhawk/mln
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library
Last synced: 06 May 2026
https://github.com/vikkiezdev/ai-global-index-analysis
This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.
cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis
Last synced: 06 May 2026
https://github.com/leavers/npblob
Transfer numpy array between Python and JavaScript losslessly
array javascript matrix numpy python streaming typescript
Last synced: 06 May 2026
https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies
This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.
activelearning cuda entropy kldivergence margin numpy python pyto uncertainty
Last synced: 06 May 2026
https://github.com/rishabhmathur06/fetching-jobs-data-using-beautifulsoup
beautifulsoup numpy pandas python webscraping
Last synced: 06 May 2026
https://github.com/skorupcia/winequality-white
winequality-white.csv visualization
matplotlib numpy pandas seaborn sklearn
Last synced: 06 May 2026
https://github.com/rashidul738/data-analysis-with-statistics-and-python
Data Analysis with Statistics and Python
jupiter-notebook lambda numpy pandas-python python scipy statistics
Last synced: 06 May 2026
https://github.com/andrewsy1004/logistic-regression-spam-classifier
This project implements a spam email classifier using Logistic Regression.
Last synced: 06 May 2026
https://github.com/5hraddha/optimize-oil-well-locations
In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.
linear-regression numpy pandas scikit-learn supervised-learning
Last synced: 06 May 2026
https://github.com/chopikus/raytracing-bench
Benchmarking ray tracers in Python, Java, Numpy, Cupy, Pypy
cupy java numpy pypy python raytracing
Last synced: 06 May 2026
https://github.com/coder5omkar/lendingclubcasestudy
Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.
bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis
Last synced: 06 May 2026
https://github.com/deanlogan/data-analysis-course
Code created when completing the Data Analysis with Python Course on freecodecamp.org
course data-analysis numpy pandas python python3
Last synced: 06 May 2026
https://github.com/cycle-sync-ai/student-score-analysis
A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.
clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student
Last synced: 06 May 2026
https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression
Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression
linear-regression machine-learning numpy pandas python regression regression-analysis statistics
Last synced: 06 May 2026
https://github.com/kumar-o/customer-churn-prediction
🔍 Predict customer churn using a synthetic dataset with advanced models and metrics to enhance business retention strategies and decision-making.
churn-prediction customer-churn-prediction customer-survival-analysis data-science factorization-machines flask-application gridsearchcv libsvm machine-learning model-evaluation numpy pipelines roc-auc scikit-learn seaborn smote survival-analysis xgboost4j
Last synced: 06 May 2026