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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/pedasoft-consult/customer_analytics_fmcg
Customer Analytics in FMCG Industry
k-means-clustering matplotlib numpy pandas python seaborn
Last synced: 03 Mar 2026
https://github.com/iankitnegi/python_projects
Data Analyst Toolkit: A comprehensive collection of Python scripts and notebooks designed for data analysis tasks. Features data cleaning, visualization, statistical analysis, and machine learning models. Ideal for analysts seeking efficient, reproducible workflows.
matplotlib numpy pandas python seaborn
Last synced: 20 Apr 2026
https://github.com/moonmoonsamal/meesho_order_financial_analysis
Generating insights from Meesho sales data (Oct-Nov)
cleaning-dataset eda numpy pandas visualization
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https://github.com/ditikrushna/identify-customer-segments
In this project, Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. I have looked at relationships between demographics features, organized the population into clusters, and saw how prevalent customers are in each of the segments obtained.
clustering clustering-algorithm numpy pca
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https://github.com/jo-minseok/global-warming-100year
🌡️ 2100년까지의 지구 기온, 해수면, 북극 빙하, 탄소 예측 ML [완료]
arima-model global-warming machine-learning matplotlib numpy pandas scikit-learn seaborn
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https://github.com/lmlk-seal/pyspeed
Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.
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🎵 Spotify Songs Analysis using Pandas
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data-science deployment exploratory-data-analysis flask machine-learning matplotlib numpy pandas plotly python regression statistics webapp
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https://github.com/gkamboj/image-features-extractor
Detect object in any image along with its features like color, etc.
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This is a Data Job Market analysis
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https://github.com/diegodscamara/whisperlive
🎙️ WhisperLive: Real-time audio transcription powered by OpenAI's Whisper model. Convert live speech to text with high accuracy, supporting multiple languages and real-time processing. Perfect for accessibility, content creation, and live captioning.
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https://github.com/matheusafonseca/c111
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https://github.com/theashishmavii/intelligent-crash-detection-and-emergency-notification
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A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.
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https://github.com/miozilla/treebasedmodel
treebasedmodel :evergreen_tree::airplane::dancer: : Invistico Airline | Tree-based Modeling, Machine Learning (ML), Predictive, Decision Making, GridSearchCV, sklearn |
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https://github.com/nathadriele/ifood-data-governance-pipeline
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https://github.com/lmizner/ece_c247_neuralnetworks
Course work from UCLA's ECE C247 - Neural Networks
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https://github.com/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization
Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.
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https://github.com/pranavv34/customer-segmentation
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https://github.com/kernel-loophole/numerical-computing
Numerical Computing use python(Numpy,metplotlib).
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https://github.com/renan-siqueira/reinforcement-learning-cart-pole
This repository provides implementations of a Q-learning agent to balance a pole on a cart.
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https://github.com/arjunravi26/sentimental-analysis
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https://github.com/daksh90a/wine-quality-analysis
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https://github.com/vishal-verma-96/oil_spill_prediction_using_ml
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data-science machine-learning-algorithms machine-learning-classification matplotlib model-building-and-evaluation numpy pandas pickle python-3 scikitlearn-machine-learning xgboost
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https://github.com/antonio-f/regularization-methods
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Work-alone code for Math for Programmers book by Paul Orland
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https://github.com/pramodyasahan/model-selection
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https://github.com/aymen016/leetcode-problems
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https://github.com/noluyorabi/bravais-pearson-interactive
Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.
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https://github.com/anas436/numpy-basics-with-python
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https://github.com/jsnevt/series_temporais
Previsão de eventos que ocorrem sazonalmente
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https://github.com/gregoritsch3/project_python_jobs_data_analysis
A multi-library Data Analysis Python project that draws useful insights from existing job data. It provides useful exploratory insight about job postings in the Data sector, such as the distribution of remote/non-remote jobs, jobs with/without healthcare, top paying and most demanded data roles, and more.
matplotlib numpy pandas python scipy seaborn
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https://github.com/sameerjain/ai-snake-game
Implemented a Q-learning agent to play and learn the classic Snake game, leveraging PyTorch for Neural Network. Visualized using Matplotlib, showcasing agent's evolving performance over time. Built UI using Pygame to visualize Snake, including food, and current score.
anaconda conda matplotlib neural-network numpy pygame python3 pytorch q-learning
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https://github.com/abhijeet107/superstore-sales-data
Many more to come stay tune
matplotlib numpy pandas python3 seaborn-python
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https://github.com/parbhat-cpp/suicidal-ml
A machine learning/NLP-based system to identify signs of suicidal ideation from user text inputs.
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Last synced: 11 Apr 2026
https://github.com/normyee/chatbot-pytorch_nlp
ChatBot utilizing neural networks, NLP techniques, and the Bag of Words model. Implements tokenization and stemming for efficient language processing.
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https://github.com/prcharan592/social-media-sentiment-analysis
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data-visualization machine-learning matplotlib nlp nltk numpy pandas python3 sentiment-analysis spacy tweets
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https://github.com/alexquar/whatisthatdog
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https://github.com/lexxai/goit_python_ds_hw_01
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https://github.com/pedroteixeiraw/variational_quantum_circuit_binary_classification
This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.
binary-classification cost-function json machine-learning matplotlib numpy pandas qiskit qiskit-machine-learning quantum-machine-learning scikit-learn training-data variational-circuit
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https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization
Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.
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[DEV] Some basic examples written to get started with numpy and pytorch
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GitHubIoT is a comprehensive toolkit designed to simplify the visualization of IoT (Internet of Things) data with seamless GitHub integration. The application provides an intuitive graphical interface for real-time data monitoring, analysis, and configuration
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a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"
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https://github.com/eljandoubi/trading-with-momentum
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https://github.com/jigyasag18/iit-guhawati-final-capstone-project
Smart Dynamic Parking Price Optimization System that adjusts parking fees in real-time based on demand, traffic, and competition. It employs adaptive pricing models and rerouting logic to enhance parking utilization and reduce congestion. The system is visualized via an interactive Streamlit dashboard, enabling users to simulate dynamic pricing.
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Last synced: 05 Apr 2026
https://github.com/patilsukanya/p02.-normal-distribution-of-stocks
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