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/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/scorleos773/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. 🚀🔭
differential-equations matplotlib mplot3d newtonian-mechanics numerical-integration numpy orbital-mechanics python runge-kutta-methods scipy-integrate three-body-problem three-body-simulation
Last synced: 02 May 2026
https://github.com/tasninanika/k-means-clustering
An interactive and insightful customer segmentation project using K-Means Clustering.
matplotlib numpy pandas plotly python3 scikit-learn seaborn
Last synced: 11 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/alicankaya192/deep_learning_path
Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.
artificial-intelligence cnn data-science deep-learning gan jupyter-notebook lstm machine-learning neural-networks numpy python pytorch rnn tensorflow transformer
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https://github.com/code-taweezy/thermos-ai
An AI-powered thermal optimization and anomaly detection system for energy-efficient data centers. Note: this is a MVP
ai case-study data-visualization lovable-ai machine-learning matpplotlib mvp numpy pandas project python sckiit-learn seaborn solution tensorflow
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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/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
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https://github.com/italoseara/cet083
Medidas de Posição (ou separatrizes) - CET083
data-science matplotlib numpy pandas portuguese python statistics university
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https://github.com/epsoft/text-generation-stopword
text generation stopword
datasets generation nltk nltk-library nltk-python numpy re stopword text wordnet wordnet-library
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https://github.com/avijit-jana/used-car-price-prediction
A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.
carpriceprediction data-science jupyter-notebooks machine-learning numpy pandas pickle pricing-data-science python3 streamlit streamlit-webapp webapplication
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https://github.com/mirseo/pandas_learning
pandas_learning
data-analysis data-analysis-python data-science data-visualization numpy numpy-example pandas pd python python-3 python3
Last synced: 03 May 2026
https://github.com/sushmitha-93/cmpe275---machine-learning-assigments-and-labs
Machine Learning Course Topic wise Assignments and Projects
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https://github.com/byigitt/smartmove
fake data generation and analysis for ankara metro station
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This is analysis and modelling of the famous Titanic Data Set from Kaggle.
dataanalytics datamining datascience machinelearning numpy pandas python scikit-learn structuredpyramidanalysisplan tableau tableau-desktop
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https://github.com/bobzheng00/medscan-mentor
MediScan Mentor is an innovative application designed to assist medical students in interpreting CT scans.
artificial-intelligence brain-diseases colab-notebook ct-scans deep-learning education machine-learning medical-ai-project medical-imaging mongodb numpy object-detection openai pandas pubmed python pytorch rag streamlit yolov5
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https://github.com/vidursatija/tensorpy
A simple NumPy autodiff library
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https://github.com/wilfriedmercier/somptimised
An optimised version of sklearn-som with extended functionalities.
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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
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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/rahulvictor12/the-movie-database-data-scrapper
A Python web scraper that collects movie data from The Movie Database (TMDB). It uses `requests`, `BeautifulSoup`, and `pandas` to extract titles, ratings, genres, and cast details from multiple pages. The data is structured into DataFrames and saved as a CSV, perfect for analysis or integration into projects.
beautifulsoup colab-notebook dataframes numpy pandas python requests testing webscraping
Last synced: 11 Apr 2026
https://github.com/harmanveer-2546/dust-detection-on-solar-panel-using
The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.
classification dirty inceptionv3-model keras numpy pandas plotly python regularizer sequential solar-panels tensorflow visualization
Last synced: 13 Apr 2026
https://github.com/kwanit1142/machine-learning-models-on-different-scenarios
Pattern Recognition and Machine Learning based Assignments and Labs, under Prof. Richa Singh in Course CSL2050.
deep-learning diabetes iris machine-learning matplotlib mlxtend mnist nltk numpy pandas pytorch regex seaborn sklearn
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https://github.com/xushiyan/udacity-machine-learning
Content for Udacity's Machine Learning curriculum
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Last synced: 13 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
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https://github.com/gregoritsch3/ml_eda_classification_loanapprovalprediction
An EDA and Machine Learning Classification exercise on the Loan Approval dataset demonstrating EDA, feature engineering, StratifiedKFold and the use of Tensorflow NN, SVC, LinearSVC, XGBoost, Naive-Bayes, Bagging, Random Forest and Decision Tree algorithms.etc. The modela are optimized using hyperparameter tuning through GridSearchCV.
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https://github.com/gauranshgoel123/predictive-demand-analysis
Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend
chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render
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https://github.com/screamman-ssh/facemousecontrol
This project is about using your nose tip for the mouse's cursor and open your mouth for the left click.
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https://github.com/jayanthsd2003/ams-attendance_management_system
Project based on AMS-Attendance Management System
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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. 💹
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This project is part of the Neuroscience of Learning, Memory, Cognition course. The goal of this assignment is to introduce students to Local Field Potential (LFP) signals, which are critical for understanding brain activity at a local neuronal level.
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Optimize budget allocation across multiple marketing channels to maximize revenue
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Last synced: 04 May 2026
https://github.com/harmanveer-2546/predicting-customer-churn-for-a-telecom-company
Customer churn is a significant issue for big business companies. Companies are attempting to create methods for predicting customer churn to get a direct impact on getting more revenues, particularly in telecom companies.
ann autoencoder churn-prediction customer-churn-prediction encoding mlp model-building-and-evaluation numpy os pandas standardization
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https://github.com/md-emon-hasan/learnpython.org
A repository Python programming language, covering fundamental concepts, advanced topics, and practical applications for beginners.
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https://github.com/sarmadahmad8/digit-recognizer-91.4-accuracy
Digit Recognizer 91.4% accuracy
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https://github.com/varshan1123/football-analysis
Designed a soccer analytics system using YOLOv11 for player and ball tracking, with team classification and real-world movement analysis, enabling precise speed and distance assessments. Integrated automated reporting to enhance data-driven decisions for coaches and analysts.
gemini-api kmeans-clustering numpy opencv ultralytics yolov11
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https://github.com/drewstone/katz-centrality
Katz centrality of a wheelgraph
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https://github.com/quinta0/pycolors
A python program to help people with color blindness recognize color in an image
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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.
flask multer nodejs numpy opencv python reactjs
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https://github.com/flazefy2/ds-global_cybersecurity_threats
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data-science data-visualization numpy python squarify statistics
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https://github.com/christs8920/data-science-py
A collection of data science projects made in python.
data-science data-visualization machine-learning matplotlib nltk numpy pandas python sklearn svm-classifier visualization
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https://github.com/laipching/sprint6_module1
Exploratory Data Analysis with Python (Pandas/Matplotlib/Seaborn). Business questions, metrics and clear visualizations.
data-visualization eda matplotlib numpy pandas python seaborn
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https://github.com/abideen-olawuwo/sign-language-lambda
A model deployed to AWS Lambda
aws aws-lambda keras lambda numpy requests serverless
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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
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https://github.com/snehasunilnair/image-processing-projects
Image pre-processing techniques using OpenCV.
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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/shwetapardhi/assignment-04-simple-linear-regression-1
Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi
correlation-analysis data-visualization distplot eda feature-engineering model-building model-prediction model-testing numpy ols-regression p-value pandas python regression-plot rsquare-values seaborn simple-linear-regression smf statsmodel t-score
Last synced: 30 Apr 2026
https://github.com/victor-gp/tfg-h16b
The code for my bachelor's thesis, a numerical exploration of the second part of Hilbert's 16th problem
bachelor-thesis dynamical-systems matplotlib-pyplot numpy odeint
Last synced: 30 Apr 2026
https://github.com/omarsaad21/it-salary-eda
A python EDA project implemented on IT department salaries data we made data exploration and made data visulization for some questions on dataset
data explotary-data-analysis juypter-notebook numpy pandas python visualization
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/tinaland101/credit-risk-classification
The purpose of this project is to build a credit risk classification model using machine learning techniques. This model helps identify the creditworthiness of borrowers based on historical lending data. Specifically, it uses a logistic regression model to predict whether a loan is healthy (0) or high-risk (1).
numpy pandas pathlib scikit-learn
Last synced: 30 Apr 2026
https://github.com/shakhthi/network_security
matplotlib numpy pandas pymongo seaborn sklearn
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https://github.com/alirezasaharkhiz9/python-for-dataanalysis
The educational repository for data manipulation and analysis with the libraries numpy, pandas, and matplotlib.
Last synced: 30 Apr 2026
https://github.com/professornova/ann-scratch
This repository implements a simple Artificial Neural Network (ANN) from scratch using only NumPy.
artificial-intelligence neural-network numpy scratch
Last synced: 30 Apr 2026
https://github.com/favalos/myway-to-nn
Project to store my understanding of Neural Networks.
jupiter-notebook neural-network numpy
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https://github.com/mukeshthenraj/video-engagement-prediction
ML project to predict video engagement using Random Forest & XGBoost
gridsearchcv matplotlib numpy pandas random-forest-classifier roc-auc-curve scikit-learn video-analytics xgboost
Last synced: 30 Apr 2026
https://github.com/dharma-acha/explanability_in_deepneuralnetworks
Our project aims to enhance the transparency and trustworthiness of the VGG model in critical fields like healthcare imaging and self-driving cars. By integrating explainability methods into the VGG model for image classification, we will clarify its decision-making process.
colab-notebook matplotlib numpy pandas scikit-learn seaborn
Last synced: 30 Apr 2026
https://github.com/alphan26/airbnb-data-visualization
I've used the airbnb new york dataset from kaggle to make a comprehensive data visualization using pandas, seaborn, matplotlib.
machine-learning matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/abimathi03/exploratory-data-analysis
Titanic Dataset: Data Cleaning & Exploratory Data Analysis (EDA)
colab-notebook datacleaning dataset eda exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/maximlevchenko/python-course-convolution-orb-detector-data-processing-2d-game
This repository contains a collection of projects developed during a university Python course. Each project explores different aspects of data processing, analysis, and computer vision.
2dgame bomberman-game computer-vision convolution harris-corner-detector image-processing keypoint-detection numpy pandas python statistical-analysis
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/bjpcjp/optimize-mktg-spend-with-lagrange
simple demo of marketing (2 channel) spend optimization
lagrange matplotlib matplotlib-pyplot numpy python scipy
Last synced: 01 May 2026
https://github.com/afondiel/intro-to-artificial-intelligence-free-course-le-wagon
Intro to Artificial Intelligence Free Course from @LeWagon
ai ai-courses artificial-intelligence data-science lewagon machine-learning numpy pandas prophet-facebook regression-models scikit-learn sklearn
Last synced: 01 May 2026
https://github.com/ahmedsamir45/demograghic-data-analyzer
answer some questions about the data
demographic-data-analyzer numpy pandas
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https://github.com/mohhasan1/machine-learning
This repository is where I learn and store information about various machine learning libraries, such as Pandas, scikit-learn, and others. It serves as a personal reference for exploring and experimenting with different ML tools and techniques.
machine-learning matplotlib numpy pandas seaborn sklearn
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https://github.com/emmanueltobi/ai-academy-university
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https://github.com/satyamtripathi8/tools_for_data_science
Introduction to Data Science Tools(Python)
data-analysis-python matplotlib-pyplot numpy pandas
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https://github.com/dhruvv1402/spam-detection-python-
This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.
countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf
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https://github.com/abideen-olawuwo/pyspark-prediction
pyspark prediction
linear-regression numpy pandas pyspark
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https://github.com/laszlokorte/canny-notebook
Numpy Canny Edge detector implementation to visualize each step
canny-edge-detection image-processing jupyter-notebook numpy
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https://github.com/mgitrov/ann-from-scratch
An artificial neural network implemented from scratch using numpy only.
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https://github.com/parham1998/linear_regression_pytorch
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backpropagation gradient-descent linear-regression loss-functions numpy python pytorch
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https://github.com/fabriciocovalesci/sistema-vendas-graficos
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matplotlib matplotlib-pyplot numpy python-script python3 venv virtualenv
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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/bhavna-kale/cars-eda-project
Project analyzing used car market data to identify high-impact price drivers and depreciation curves, presented through an interactive web application.
data-analysis excel matplotlib numpy pandas python3 searborn streamlit
Last synced: 03 May 2026
https://github.com/raduldev/biopython
Biopython Record Work and few extra coding excercise
bioinformatics biopython gromacs jupyter-notebook matplotlib numpy pandas python3
Last synced: 03 May 2026
https://github.com/nak-dt/deep-decision-forest
A custom ensemble tree model inspired by Deep Forest
ai machine-learning machine-learning-algorithms numpy pandas python sklearn
Last synced: 03 May 2026
https://github.com/katerynazakharova/machine-learning
Example of a ML algorithm.
gradient-boosting-classifier gridsearchcv machine-learning ml numpy pandas python3
Last synced: 03 May 2026
https://github.com/shreenidhi7700/auto_price_prediction
We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.
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Last synced: 04 May 2026
https://github.com/kaustavmodak/business-aided-customer-feedback-assessment-system
A Streamlit-based sentiment analysis app that classifies customer reviews into Positive, Neutral, or Negative using a pre-trained ML mode
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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/ankitgmishra/machinelearning
Continuously deep diving in understanding & advancing my expertise in Machine Learning through ongoing education and hands on experience with practical learning.
artificial-intelligence data-analysis data-cleaning data-gathering machine-learning machinel-learning-algorithms matplotlib numpy pandas python seaborn
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/fnfkkengine/website-performance-data-analysis-project
🌐 Analyze website performance data to gain insights on user engagement, traffic trends, and optimize your digital presence effectively.
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Last synced: 04 May 2026
https://github.com/anas436/ibm-cloud-data-analysis-of-cars
Exploratory Data Analysis of Cars in Python
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Last synced: 04 May 2026
https://github.com/aymanmomin/facebook-ego-network-analysis-for-political-outreach-optimization
Analyzing Facebook ego networks to identify influential users and communities for optimizing political advertising. Leverages network science techniques (Louvain communities, centrality metrics, threshold models) to simulate influence spread.
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Last synced: 04 May 2026
https://github.com/bpkaur/whats-in-a-name
Exploring dataset of first names of babies born in the US in order to uncover interesting stories
data-analysis datacamp numpy pandas python3
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