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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/ayaanjawaid/google_playstore_data_analysis
This project provides an in-depth analysis of Google Play Store apps and user reviews, focusing on understanding app performance, user sentiment, and key trends in app categories. Using Python, I performed data cleaning, feature engineering, and exploratory data analysis (EDA) on app data and reviews.
data-analysis eda html numpy pandas-dataframe plotly python vizualisation
Last synced: 24 Feb 2026
https://github.com/juzershakir/iris_flower
Implementing all ML models and feature selection techniques that can be used.
classification feature-selection iris-dataset iris-flower-classification jupyterlab lightgbm machine-learning matplotlib numpy pandas practice python3 seaborn sklearn supervised-learning xgboost
Last synced: 22 Oct 2025
https://github.com/jeelmakani/wind-energy-forecasting
Wind energy Forecasting using Time series forecasting
forecasting machine-learning numpy pandas python3 seaborn tensorflow time-series time-series-analysis
Last synced: 05 Apr 2026
https://github.com/vtramo/neural-networks-experiments-from-scratch
The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
activation-functions backpropagation batch-learning classification-problem early-stopping gradient-based-algorithm improved-resilient-backpropagation irprop kfold-cross-validation minibatch momentum neural-network numpy online-learning python python3 resilient-backpropagation rprop softmax stochastic-gradient-descent
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https://github.com/anidipta/risk-sense
Risk Sense : Next-Gen Fraud Predictor
convolutional-neural-networks machine-learning machine-learning-algorithms numpy python streamlit
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https://github.com/lebrancconvas/data-playground
Data Science and Analysis Playground.
data-analysis data-science jupyter-notebook numpy pandas python python3 seaborn statistics
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https://github.com/rishraks/handsign-ai
HandSign AI is a gesture recognition project using Mediapipe to detect custom hand signs like fist, palm, and V-sign. It automates tasks such as starting/stopping video recording and capturing screenshots, showcasing intuitive, touch-free interactions for various applications like smart devices and accessibility.
mediapipe ml numpy opencv python
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https://github.com/datarohit/tps-january-2022--kaggle-competition
Tabular Playground Series - Jan 2022. This Competition is Posted on Kaggle.com for practicing the EDA and Regression Skills.
kaggle-competition matplotlib numpy pandas regression-algorithms seaborn
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https://github.com/heisenberg141/probability-based-boundary-detection
This Repository consists of implementation of probability based boundary detection algorithm which gives more accurate results than canny edge detection.
boundary-detection canny-edge-detection computer-vision edge-detection gabor-filters gaussian-filters image-gradients image-processing kmeans-clustering lm-filters numpy opencv python3 sobel-filter texton-maps
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https://github.com/hansalemaos/numba_aot_compiler
A function to facilitate the Ahead-of-time compilation with Numba
aheadoftime aot compile numba numpy pyd
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https://github.com/patilni3/python_data_analysis
Important Tools and its Functions
excel matplotlib numpy pandas seaborn
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https://github.com/nissanjk/linear-solver
A Python desktop application to solve systems of linear equations using various numerical methods.
anaconda3 fpdf imageio matplotlib numpy python3 tkinter
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https://github.com/katerynazakharova/olive-separation
CV
cv2 image-classification numpy opencv python3
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https://github.com/kamakshi4023/brain-tumour-detection
ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images
jupyter-notebook keras machine-learning ml numpy python seaborn sklearn sklearn-metrics tensorflow
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https://github.com/princeofpuppers/qbot
A Domain-Specific Programming Language for Analyzing Quantum Algorithms
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https://github.com/iBz-04/DiabetesCL
Predicting instances of diabetic & non-diabetic patients with Support vector machine classifier
data-science diabetes-prediction google-colab-notebook machine-learning machine-learning-projects medical-informatics numpy pandas-python python3 sckiit-learn svm-classifier
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https://github.com/alexandrbig1/py-design-analysis-algo
Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.
algorithms asyncio git heapq matplotlib numpy python python3 turtle
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https://github.com/htlinh0604/invoice-data-extraction
This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bรกch Hรณa Xanh)..
flask numpy ocr-recognition opencv pandas python regex tesseract-ocr
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https://github.com/zazi2002/neuroscience-project-cnn
This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.
cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing
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https://github.com/meqdaddev/pixcraft
Welcome to PixCraft... Unleash the Power of Pixels
edge-detection flask gaussian-blur image-processing matplotlib matplotlib-pyplot numpy opencv opencv-python python
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https://github.com/mhmudfzli/exploring-mental-health-data
This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance
catboost lightgbm matplotlib numpy pandas scikit-learn seaborn xgboost
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https://github.com/mrtarantoga/mdl-density-histogram
Cython-accelerated MDL histogram density estimation. Implements Kontkanen & Myllymaki's dynamic programming algorithm for optimal variable-width bins, parametric complexity with Ramanujan approximations, and automatic bin count selection. Based on "MDL Histogram Density Estimation" (JMLR 2007).
cython-library mdl numpy pypi-package python3
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https://github.com/jswong65/machine_learning_nanodegree
Projects of Udacity Machine Learning nanodegree
machine-learning numpy pandas python scikit-learn scipy
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https://github.com/skywalkersam/ml-101
Machine Learning 101
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
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https://github.com/richecr/projetocrowd4city
Repositรณrio para desenvolver as atividades realizadas para o projeto do LSI - Crowd4City
bert-as-service bi-lstm gensim lda nltk-python numpy numpy-library pandas python sklearn spacy-nlp speech-recognition tf-idf topic-modeling twitter-api web-scraping xgboost youtube-dl
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https://github.com/garcane/income-prediction-ml
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https://github.com/sahajrajmalla/co2-calculator-api
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https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning
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algorithms machine-learning numpy python scipy
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https://github.com/nolan-lwin/bells-palsy-ml-research
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https://github.com/culeshovi/cs229
Machine Learning
machine-learning machine-learning-algorithms machine-learning-practice matplotlib numpy python3
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https://github.com/nafisfaysal/minwater_reviews
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https://github.com/dulajkavinda/live-sketching
โ๏ธ Converting live video stream from webcam into a sketch using OpenVC and Keras
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https://github.com/ksharma67/ibm-stock-predication-wiith-eda
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https://github.com/Tritonix711/FractureAI
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https://github.com/lukeroantree4815162342/mastersproject
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https://github.com/amari-calipso/papers-please-tasbot
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https://github.com/haidermalikk/neural-network-circuit-optimizer
The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*
ai jupyter-notebook matplotlib ml numpy pandas python pytorch sqlalchemy tensorflow
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https://github.com/zensam7/easy_my_ai
ะะธะฑะปะธะพัะตะบะฐ ะดะปั ัะพะทะดะฐะฝะธั ะะ, ะฝะฐะฟะธัะฐะฝะฐ ะะะะะะกะขะฌะฎ ั ะฝัะปั
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Cรณdigos de Machine e Deep Learning
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https://github.com/georgiivoyakin/mirea-big-data
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https://github.com/madhurimarawat/python-for-datascience
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https://github.com/yogeshnile/flight-delay-prediction
In this repo i developed predict a flight delay using machine learning.
flight-delay-prediction jupyter-notebook machine-learning numpy pandas python3 seaborn sklearn
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https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data
This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.
aws cassandra catboost-classifier classification credit-risk data data-science dataanalysis dockerfile finance financial-analysis flask github-actions logging machine-learning mlflow numpy pandas python
Last synced: 03 Jan 2026
https://github.com/mohd-tahzeeb-khan/reverse_dcf-calculator-and-vistualization
This Dashboard is Developed by me. I had Applied for Internship in which i had to develop this Dashboard to showcase my skill and talent.
beautifulsoup bs4 dash dashboard dataframes flask numpy pandas plotly plotly-dash plotly-express python requests shares stock-market
Last synced: 14 Apr 2026
https://github.com/Shriram-Vibhute/RealEstateForecast-Price-Prediction-System
This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.
exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn
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https://github.com/fayzi-dev/machin_learning
Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)
algorithms artificial-neural-networks logistic-regression machine-learning matplotlib matplotlib-pyplot naive-bayes-classifier numpy pandas python python3 seaborn seaborn-plots sklearn sklearn-knn sklearn-library sklearn-linear-model sklearn-linear-regression sklearn-metrics sklearn-svm
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https://github.com/mnitin-reddy/reducing-review-overhead-with-ml-based-application-screening
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aws docker githubactions hypothesistesting machinelearning matplotlib mlflow mlops mongodb numpy optuna pandas python scikit-learn seaborn
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https://github.com/nikita620/phishing-website-detection-by-machine-learning-techniques
Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as blacklist, heuristic, Etc.
bagging boosting decision-trees numpy pandas python random-forest sckiit-learn sql
Last synced: 10 Apr 2026
https://github.com/alisonmitchell/boston-housing
Investigation of the Boston housing dataset to evaluate, train and test a regression model to predict house prices.
data-science machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn
Last synced: 10 Apr 2026
https://github.com/alibowndyn/flickerforge
A customizable image and GIF generator mimicking old television static, offering control over colors, blur, dimensions, pixel size, and many more.
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https://github.com/cr-mao/machine-learning
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https://github.com/mattdelaune/saas_cohort_analysis
This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.
anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn
Last synced: 03 Jan 2026
https://github.com/jbayardo/aa-tp1
Machine learning on spam
email-classifier jupyter-notebook numpy pandas python scikit-learn spam-filtering text-processing
Last synced: 10 Apr 2026
https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data
About the data: Letโs consider a Company dataset with around 10 variables and 400 records.
data-science machine-learning numpy pandas python random-forest seaborn-plots
Last synced: 07 Apr 2026
https://github.com/cusyio/datenverarbeitung-mit-numpy
Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.
Last synced: 08 Jun 2026
https://github.com/surtecha/multi-physics-simulation-engine
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jax numpy physics pygame python scipy simulation
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https://github.com/thamirisq/data_analysis_culinary_journey
Project to analyze key information from Culinary Jorney, a marketplace Company, and develop an initial strategy to lead the entire team effectively.
folium-maps groupby-method jupyter-notebook markercluster marketplace-ds matplotlib-pyplot numpy pandas pandas-dataframe streamlit
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https://github.com/kumartusha/data_scientist-ai-ml-_training_anudip_foundation
Anudip Foundation Data Analytics Training ๐ A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: ๐งน Data Cleaning & Preprocessing ๐ Data Visualization & EDA ๐ Statistical Analysis
excel matplotlib numpy pandas powerbi python scipy sql
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https://github.com/bbergerud/faraday_complexity
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https://github.com/williyam-m/movie-recommendation-system
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https://github.com/burakkagann/pixels2genai-2.0
Free, open-source curriculum teaching generative art and AI across 15 modules, from a single pixel to diffusion models.
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https://github.com/localhostpib/pythonplayground
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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.
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https://github.com/msthamizh/bizcardx-extracting-business-card-data-with-ocr
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easyocr mysql numpy pandas pillow python regular-expression streamlit
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https://github.com/lakhidaksh-01/carinsightanalyzer
Interactive Car Ratings & Insights
cars matplotlib numpy pandas python seaborn streamlit
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https://github.com/lolosoares/dataanalises
This repository shows my projects made in my journey learning about data analises, ciency, engeniering and ML.
acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba
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https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing
Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts
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https://github.com/salmandeveloperz/ml_house_prediction
project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.
classification-model clustering deep-learning machine-learning matplotlib numpy pandas python3 regression-models scikit-learn
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This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
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Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard
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Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba
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https://github.com/aryansk/fake-news-detection
A sophisticated machine learning solution to detect fake news using multiple classification algorithms. Identify the credibility of news articles with advanced text analysis techniques!
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https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning
This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.
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This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.
exploratory-data-analysis exploratory-data-visualizations matplotlib-pyplot numpy pandas seaborn
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https://github.com/skywalkerSam/ML-101
Getting started with AI & ML!
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
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https://github.com/prashver/customer-segmentation
This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.
customer-segmentation matplotlib numpy pandas seaborn sklearn
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https://github.com/achalesh27022003/python-assignments-iwt
This repository is objected to have all the assignments and project related to IWT (Semester - 3).
cosinewave frame grid image imagetk labels matplotlib-pyplot numpy numpy-arrays numpy-library photoimage pil python3 sinewave spyder tkinter tkinter-gui window
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The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)
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https://github.com/g-eoj/cv-tl-keras
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https://github.com/kishlayjeet/zomato-data-exploration
In this project, we will be exploring a dataset containing information on various restaurants and their ratings, location, and other attributes.
data-analysis eda matplotlib numpy pandas zomato-data-exploration
Last synced: 10 Apr 2026
https://github.com/datarohit/titanic-survival-data--classification
This is a Titanic Survival Data from Kaggle Competition with Multiple Classification Algorithm testing and Detailed Exploratory Data Analysis.
classification-algorithm kaggle-competition machine-learning-algorithms matplotlib-pyplot numpy pandas seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/vineet416/airbnb_data_analysis
Ineuron.ai Internship Project
data-analysis exploratory-data-analysis matplotlib numpy pandas-python python seaborn statistical-analysis statistics
Last synced: 10 Apr 2026
https://github.com/mardavsj/weather-prediction
Weather prediction model which mainly focuses on visualization.
data-analysis data-visualization matplotlib numpy pandas pandas-dataframe
Last synced: 10 Apr 2026
https://github.com/argemenon/astronomy_and_simulations
I created this repo to learn astronomy and python simulations
astronomy matplolib numpy physics-simulation scipy sympy
Last synced: 10 Apr 2026
https://github.com/stephenhky/npdict
Python Package for Dictionary Wrappers for Numpy Arrays
Last synced: 20 Jan 2026