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/shwetapardhi/assignment-03-q5--hypothesis-testing
Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of
alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats
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https://github.com/subh888999/car-prices--analysis-projects
This repository houses projects focused on data collection, assessment, cleaning, visualization, and analysis. It includes workflows and methodologies for handling data, from initial gathering and evaluation to processing, visualizing insights, and performing in-depth analysis
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https://github.com/matheusafonseca/c213-trabalho-1
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matplotlib numpy pid-controller python scypi streamlit
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https://github.com/deepankkartikey/ml-projects
A repository of projects done while learning and exploring ML
classification csv machine-learning numpy pandas regression sklearn
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A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn xgboost
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https://github.com/hercules-peters/learn-ml-with-me
Welcome to **ML-Journey**, my personal progress tracker for mastering machine learning! This repository showcases my projects, notebooks, and explorations as I advance my skills, starting with hands-on projects.
machine-learning numpy pandas python sklearn
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The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.
artificial-intelligence binary-classification cnn colab-notebooks computer-vision deep-learning fine-tuning imagenet machine-learning meat-classification numpy pandas poultry python residual-networks resnet scikit-learn supervised-learning tensorflow transfer-learning
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https://github.com/ljadhav25/decision-tree-random-forest-algorithm-data-science-
This repository contains an implementation of decision tree and random forest algorithms from scratch in Python. Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. The goal of this project is to provide a clear and understandable implementation of these algorithms
data-analysis data-science decision-trees machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier
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calculus julia-language linear-algebra numerical-analysis numpy python
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ai data-analysis-python data-processing data-science jupyter-python machine-learning matplotlib numpy pandas powerbi-report pyqt5 scipy seaborn sklearn
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https://github.com/shwetapardhi/assignment-03-q4-hypothesis-testing
Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5
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Medical Insurance Cost Generator is a Linear Regression based Predictor which is used to estimate and predict the Cost a person has to pay while Buying a Medical Insurance.
kaggle-dataset linear-regression machine-learning matplotlib numpy pandas python3 reactjs scikit-learn
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Comprehensive course materials for the Data Analytics for Finance - Master Programme, covering data manipulation, statistical analysis, visualisation, automation, and real-world case studies using industry-standard tools.
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https://github.com/rissh/titanicsurvivalpredictionusingml
Predicting Titanic passenger survival through machine learning. This project includes data preprocessing, exploratory data analysis, feature engineering, and model training using Python. 🚢
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Your Go-To Resource for Essential Data Science Related Commands, Concepts, Quick Overviews and Useful Functions.
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https://github.com/murugavl/forage_tata_genai_powered_data_analytics
This repository showcases my work from the TATA GenAI Powered Data Analytics Virtual Experience on Forage, where I applied data cleaning, analysis, and visualization techniques to derive actionable business insights.
excel genai matplotlib numpy pandas powerbi python
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https://github.com/mahmud-kandawala/simulating-covid-19-python-
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https://github.com/baschin1103/neural-network-building-in-python
In this repository is a programm with a pretrained artificial neural network from Building AI. The network predicts the price of a cabin based on it's attributes.
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engineering numpy python scientific-computing youtube
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https://github.com/anuraganalog/random-test-case-generator
Generate Random Test Cases
arrays case characters file generation generator hacktoberfest hacktoberfest2020 matrices numbers numpy py python3 random random-test-case string test test-cases
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https://github.com/mindkerchief/baselineml
A collection of machine learning task performed during my studies in computer science major in intelligent system.
decision-tree dummy gaussian-mixture-models kmeans-clustering linear-regression logistic-regression machine-learning matplotlib numpy pandas random-forest scikit-learn seaborn tensorflow
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machine-learning matplotlib numpy pandas python sklearn
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This repository is designed to help you master NumPy, the fundamental package for scientific computing with Python. Whether you are just getting started or looking to refine your skills with advanced techniques, this repo covers a comprehensive range of topics and functionalities. It covers the range of topics from beginner to advance.
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Universal scientific data I/O with plugin registry — save/load 30+ formats with one API. Part of SciTeX.
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https://github.com/yalai92/alfalfa_imp_exp_analysis
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https://github.com/ankit21111/carpredict
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data-analysis data-visualization matplotlib numpy pandas pyhton scipy seaborn sklearn
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https://github.com/tzepart/choosing-oil-region
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matplotlib ml numpy pandas seaborn sklearn
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https://github.com/rahulsm20/storedata
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data-analysis matplotlib numpy pandas python streamlit
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https://github.com/lexxai/goit_python_ds_hw_09
Модуль 9. Підбір гіперпараметрів НМ. Глибоке навчання. Tensorflow. Keras.
adam-optimizer data-science google-colab keras keras-tensorflow numpy python
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deeplearning neural-network numpy python
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mnist-classification neural-network numpy stochastic-gradient-descent
Last synced: 16 Apr 2026
https://github.com/codersales/machine-learning-classification
machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent
authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation
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https://github.com/kavayk29/speech-recognition-using-tdnn-and-data-augmentation
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deep-learning keras-tensorflow numpy os pandas tdnn tensorflow
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https://github.com/mattia-hulathduwage/wine-quality-analyzer
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machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/saurabh274/netflix-eda
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matplotlib numpy pandas python seaborn
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https://github.com/killervardhan8/gesturedecode
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analytics cleaning-data data linear-regression machine-learning matplotlib numpy pandas python seaborn
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anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost
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Last synced: 13 Apr 2026
https://github.com/williyam-m/movie_booking_app
A Django-based movie booking app featuring an admin dashboard with CRUD functionality for movies, theatres, screens, shows, and bookings. Includes an ML-powered movie recommendation system.
django machine-learning numpy orm pandas python sckiit-learn sqlite3
Last synced: 16 Apr 2026
https://github.com/5hraddha/sda-megaline-the-best-plan
Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.
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https://github.com/urvee1810/air-quality-prediction-using-arima
Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.
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Last synced: 16 Apr 2026
https://github.com/aadityasikder/neural-network-from-scratch-
This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.
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https://github.com/ashwin331133/liver_disease_detection
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Last synced: 16 Apr 2026
https://github.com/khaymanii/calories-burnt-prediction-model
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Last synced: 16 Apr 2026
https://github.com/asadiahmad/image-enhancement
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Last synced: 16 Apr 2026
https://github.com/abhishekpsonawane07/loan-repayment-prediction-ml
Loan Approval Prediction uses machine learning to analyze factors like income and credit history, automating and improving the loan approval process. The project ensures accurate, efficient, and user-friendly predictions with a Gradio interface.
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Last synced: 16 Apr 2026
https://github.com/thekartikeyamishra/customer-retention-predictor
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https://github.com/pedasoft-consult/customer_analytics_fmcg
Customer Analytics in FMCG Industry
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https://github.com/shiqilu77/machinlearning-lol_gaming
a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc
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https://github.com/mugambi645/exploring-ebay-car-sales-data
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Last synced: 16 Apr 2026
https://github.com/moonmoonsamal/meesho_order_financial_analysis
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https://github.com/sahiltiwariiii/dssp
Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc
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Last synced: 27 Mar 2026
https://github.com/shreeparab1890/indian-cricketer-classifier
This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.
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Last synced: 01 Apr 2026
https://github.com/samalyarov/practicum_projects
Various data analysis projects displaying tools and instruments that I am proficient with
data-analysis datetime folium geojson matplotlib numpy pandas plotly postgresql powerpoint python regular-expressions requests-library-python scipy seaborn sql sqlalchemy tableau tqdm
Last synced: 02 Apr 2026
https://github.com/leftcoastnerdgirl/supervised_learning
This project demonstrates supervised machine learning using scikit-learn.
classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn
Last synced: 16 Apr 2026
https://github.com/michaelgermini/python-3d-programming-book
Complete Python & 3D Programming Book: 30 chapters, 120+ examples, real-time ray tracing, ML graphics, OpenGL, NumPy
3d-graphics computer-graphics educational game-development graphics-programming machine-learning numpy opengl python ray-tracing tutorial
Last synced: 16 Apr 2026
