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/saro0307/exploratory-data-analysis-terrorism
Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023
colaboratory data-analysis datascience machine-learning numpy pandas python seaborn skit-learn visualization
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https://github.com/darkksideyoda/dataminingclass
Data Mining Class 101
artificial-intelligence data-science machine-learning numpy pandas python seaborn
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https://github.com/eny2930/ai-ml-projects
A project demonstrating various libraries and tools in using algorithms in machine learning. This repository includes code samples, datasets, and detailed explanations.
iris-dataset keras linear-regression logistic-regression matplotlib numpy pandas pytorch sckiit-learn seaborn sentiment-analysis
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https://github.com/intscription/machine-learning
Machine Learning and it's advance concepts
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https://github.com/dmarks84/coursework_project_nlp-with-nltk
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data-modeling databases dataframes eda nlp numpy pandas python reporting statistics text-mining visualization
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Trayecto de formación en Ciencias de Datos con Python y Pandas
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Data Analysis Skills – Work with real-world data. Machine Learning Experience – Build and train models. Web App Development – Create interactive dashboards
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https://github.com/5hraddha/eda-instacart-customers-shopping-habits
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data-visualization exploratory-data-analysis instacart matlpotlib numpy pandas
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https://github.com/anuraganalog/navie-bayes
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This repository contains codes related to the PyTorch tutorial provided by Patrick Loeber
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https://github.com/geetu040/fetcher
AI GAME: We have a random maze and 2 agents at random places. You control the Fetcher and find the way through the maze to get ot the target. You can automate the Fetcher to use trained models that help Fetcher fetch the target by itself. The models are based on deep neural networks, implemented by tensorflow and Keras API. The models are so efficiently trained, they find ways through the maze without hitting the walls and have an accuracy of more than 99%
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🖨 Basic Data Viz; Sentiment Analysis and Cosine Similarity for starting NLP
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https://github.com/patex1987/ghcn-temperature-dataset
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https://github.com/theblueberrycompendium/keras-movie-classification
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https://github.com/anikdascodes/fantasy-cricket-project
🏏 Python simulation for generating 20K+ unique fantasy cricket teams with probability-based player selection and constraint optimization. Advanced algorithms, data analysis & visualizations included.
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https://github.com/soumyapro/hand-tracking-volume-controller
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data-science matplotlib matplotlib-pyplot numpy pandas python python-script
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data-analysis data-science energy-consumption forecasting matplotlib numpy pandas python scikit-learn sustainability time-series xgboost
Last synced: 10 Apr 2026
https://github.com/ahmadbuilds/fake-news-classifier
Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.
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This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.
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Classify tweets into happy, sad, angry, excited, and neutral with this interactive Python model. Combining TF-IDF text features with engineered numeric features like emoji sentiment, polarity, subjectivity, and punctuation counts, it demonstrates intermediate-level NLP, feature engineering, and visualization skills.
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DataSanity is a AI-powered web application for dataset cleaning, synthetic data generation, vectorization, and data enrichment using natural language prompts.
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https://github.com/hiftd22/wpattern
📈 Analyze and visualize stock patterns with wPattern for better trading insights. Simplify your investment decisions through data-driven analysis.
cli finance financial-analysis financial-data matplotlib numpy pandas pattern-recognition python scikit-learn stock-scanner technical-analysis yfinance
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https://github.com/manjotkaurgill/agritech
Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.
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