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: 2026-02-02 00:22:23 UTC
- JSON Representation
https://github.com/nemeslaszlo/lending-club-analysis
Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.
binary-classification classification data-visualization keras matplotlib numpy pandas seaborn tensorflow
Last synced: 30 Dec 2025
https://github.com/ksalekk/ecg-monitor
ecg matplotlib numpy python scipy signal-processing
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https://github.com/autokmg/ai-foundations
Practice exercises related to the Foundations of Artificial Intelligence university course. The code examples are designed to help students gain a deeper understanding of these topics and to prepare for exams and assignments. The repository is open to contributions from other students.
Last synced: 30 Oct 2025
https://github.com/alvinmurimi/jumia
Data analysis on smartphones listed on jumia.co.ke
beautifulsoup4 jumia matplotlib numpy pandas scraping seaborn
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https://github.com/gourab-sinha/instabot
This project is all about web scraping using Selenium, BeatifulSoup and Python Packages.
beautifulsoup matplotlib numpy pandas python3 selenium-python
Last synced: 31 Dec 2025
https://github.com/k-ibadullaev/py-ssa-lib
Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)
mssa numpy python singular-spectrum-analysis ssa time-series time-series-analysis time-series-forecasting
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https://github.com/khaymanii/wine-quality-prediction-model
This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm
matplotlib numpy pandas python sckit-learn
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https://github.com/joshi-jyoti/heart-disease-prediction
This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.🩺
heart-disease-prediction heart-disease-predictor kaggle-dataset machine-learning numpy pandas python scikit-learn
Last synced: 29 Mar 2025
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
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https://github.com/javierkaiser9/rgbd-dual_input_machine_learning_model
This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO
efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow
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https://github.com/md-emon-hasan/numpy-pandas-matplotlib-seaborn
A collection of tutorials and examples showcasing the usage of Numpy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.
data-science data-visualization matplotlib numpy pandas python seaborn
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https://github.com/algab/recommedation-content-based
Application of film recommendations from the IMDB database, using as a strategy the content-based recommendation
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https://github.com/epsoft/traffic
traffic
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https://github.com/zionc27/computational-art-with-genetic-algorithm
Genetic algorithm to iteratively generate an image resembling an original image
genetic-algorithm numpy photography pillow-library python
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https://github.com/kiritoind/neural-network-for-cat-image-classification
This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction
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https://github.com/dyegopimentel/sentiment-analysis-and-wordclouds-in-python
We developed a sentiment analysis algorithm and at the end we bring a wordcloud to give an overview of what is being said about the topic we are analyzing.
matplotlib numpy pandas python sentiment-analysis tweepy wordcloud
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https://github.com/bessarodrigo/dataviz_sales_retail
Este projeto apresenta um mosaico com o Matplotlib com um retrato do desempenho das vendas de uma empresa de varejo.
matplotlib numpy pandas python python3
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https://github.com/dpgitaccount/file-handling-data-analytics-toolkits
In this repo File handling, Inventory management system and data toolkits resources are provided these are essential for managing, storing, and manipulating data in various formats, such as JSON files. JSON (JavaScript Object Notation), is widely used for data exchange due to its simplicity and readability. also File Handling included in this repo.
filehandling inventory-management json jupyter-notebook numpy os
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https://github.com/sralter/term_deposit_marketing
Predicting which customers will most likely purchase a type of financial product, achieving a time savings of over 93%.
matplotlib numpy optuna pandas seaborn sklearn
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https://github.com/witch-world/iris-flower-classification-decision-tree-classifier
ai algorithms artificial-intelligence decision-tree decision-tree-classifier machine-learning machine-learning-algorithms machinelearning-python matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-python python python3 scikit-learn
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https://github.com/tanishq-ctrl/walmart-analysis
This repository contains a Jupyter Notebook (Walmart Analysis.ipynb) that analyzes Walmart's sales data, focusing on identifying trends, patterns, and actionable insights. The analysis aims to understand sales performance and improve business strategies.
eda exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn walmart
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https://github.com/techassi/hfu-imgcomp
Image processing and computer graphics SOSE 22
computer-vision image-processing numpy opencv python
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https://github.com/fractalyze/zk_dtypes
A NumPy dtype extension used in Zero Knowlege libraries
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https://github.com/medyessinkhlif/medclaimml
An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.
healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss
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https://github.com/asut00/machine-learning-program_42ai
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/kr1shnasomani/greendetect
Detection of plant diseases using CNN (ResNet50 architecture)
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https://github.com/ankushmallick1100/task-1-the-sparks-foundation-data-science-and-business-analytics-internship
Task 01: Predict the percentage of an student based on no of study hours with Supervised Machine Learning
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https://github.com/sedatuygur/attendance-management-system
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This model was built using python and logistic regression algorithm
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https://github.com/KernFerm/PresFutImpactSim
This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.
economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model
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https://github.com/tar3q-az1z/python-learning
Contains python codes.
data-analysis-python numpy pandas-library python3
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https://github.com/reddyprasade/bicycle-sharing-system-in-us
A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.
dataanalysis jupyter maplotlib numpy pandas python r
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https://github.com/cskhomo/scientific-python
Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.
numpy postresql shell-scripting
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https://github.com/cchandre/confkam
Conjugation method in configuration space for invariant tori of Hamiltonian systems
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Renormalization for the break-up of invariant tori in Hamiltonian flows
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https://github.com/nguyenanhtuan1912/computer_vision_exercises
Trong này sẽ chứa các file source về bài tập Computer Vision.
computer-vision numpy opencv python
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https://github.com/mdaffailhami/data_science_speedrun_journey
This repository contains notebooks and projects related to my data science speedrun journey.
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https://github.com/tillahoffmann/idxhound
🐶 Track indices across one or more numpy selections.
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https://github.com/jonad/dog_detection_app
Identify dog breeds using Convolutional Neural Network.
convolutional-neural-networks keras neural-network numpy opencv-python pandas resnet-50 scikitlearn-machine-learning transfer-learning vgg19
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https://github.com/ashraf-khabar/funcplot-plottingfunctionsmadeeasy
FuncPlot is a user-friendly app built with Kivy and KivyMD that allows you to easily plot and visualize mathematical functions on your desktop or mobile device. With its intuitive interface and support for multiple functions, FuncPlot makes it easy to explore and understand complex mathematical concepts.
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https://github.com/21aja/house_price_prediction_revised_project
House price prediction using ML with Decision Tree Regressor achieving 100% accuracy. Preprocessing, EDA, and model evaluation applied using Python, Pandas, NumPy, Scikit-learn, and XGBoost for data-driven insights.
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https://github.com/asanka-j/machine_learning_exercises
Machine learning Self study Python & R
matplotlib numpy pandas python r sklearn
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https://github.com/udityamerit/curafind-powered-by-ai
CuraFind AI is a web-based application leveraging Natural Language Processing (NLP) to intelligently recommend medicines. Users can search using symptoms, medicine names, or free-text descriptions, and receive suggestions along with brand substitutes for drugs
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https://github.com/dan-shields/rocketleagueirl
Rocket League comes to Real Life!
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Simulation of a counterintuitive distribution problem
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Scientific Computing for Chemists Jupyter Book
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https://github.com/pr38/cox_ph_estimation_notebooks
Personal discovery work on estimating Cox Proportional hazards coefficients for for both breslow and efron ties, using both autograd and directly calculating the gradient and hessian
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https://github.com/seungjaelim/scratchml
Implement neural network only using numpy
deep-learning machine-learning numpy
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https://github.com/charmve/numpycnn
Building Convolutional Neural Networks From Scratch using NumPy
cnn computer-vision deep-learning deep-learning-tutorial machine-learning numpy project python tutotrial
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https://github.com/lgeiger/mypy-einsum
MyPy Type Checking for NumPy/Jax/PyTorch Einsum Operations
deep-learning einsum jax mypy mypy-plugins numpy pytorch
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https://github.com/rakibhhridoy/imageprocessing
Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.
augmentation deep-learning functional-programming image-manipulation image-processing keras machine-learning numpy python sequential-patterns tensorflow
Last synced: 01 Aug 2025
https://github.com/sarah-ribeiro/curso-pandas-alura
A comprehensive project comprising numerous exercises developed within an Alura course focused on Pandas.
jupyter-notebook matplotlib numpy pandas python
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https://github.com/kientech/calories-burnt-prediction-with-machine-learning
The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.
fastapi heroku machine-learning matplotlib-pyplot modeling numpy pandas python reactjs tailwindcss
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https://github.com/otivedani/hedge_hog
Histogram of Oriented Gradients, full numpy
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https://github.com/realtristan/micronet
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https://github.com/vidyasagarmsc/pydataflownote
As I explore Python libraries....
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https://github.com/emmanuelezenwere/aind-aiprojects
Portfolio of AI projects developed during my Udacity AI Nanodegree, covering Planning AI, Constraint Satisfaction, Hidden Markov Models, and Search algorithms.
alpha-beta-pruning astar-algorithm bellman-equation breadth-first-search constraint-satisfaction-problem depth-first-search hidden-markov-model kalman-filter minmax-algorithm networkx nltk numpy pandas scikit-learn scipy sympy
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https://github.com/heisenberg141/deep-learning-from-scratch
In this repository, I have showcased implementation of deep learning methodologies and architectures using Python and Numpy
algorithms binary-classification computer-vision data-science deep-learning deep-neural-networks implementation machine-learning multi-class-classification neural-network numpy python regression-models
Last synced: 04 Aug 2025
https://github.com/mariamabidi/pinn-based-flow-prediction
This repository contains code and experiments for predicting 3D aerodynamic flow around car geometries using Physics-Informed Neural Networks (PINNs) and for analyzing flow features via autoencoder-based clustering.
computer-vision machine-learning neural-network numpy pytorch pyvista scikit-learn
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https://github.com/py-mp3/boston-comparing-regression-modules
A ipynb file that compares different regression modules in the sk.learnit library.
ipython-notebook numpy pandas python regression-models seaborn sklearn
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This repository comprises my math modelling-based projects covering topics of Linear Algebra, Probability and Statistics.
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This repository contains the machine learning models that I have worked on during learning "Machine Learning".
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https://github.com/snehilsanyal/ee524
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course-webpage machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/chr5tphr/funcache
Minimally cache python function outputs on disk!
cache disk functions hash memoization metrohash numpy python pytorch
Last synced: 10 Aug 2025
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
Last synced: 04 Oct 2025
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/priyanshgoantiya/ml-from-scratch-without-sklearn
This repository contains machine learning algorithms implemented from scratch using only NumPy—without relying on scikit-learn or other high-level ML libraries. The goal is to provide a deeper understanding of how fundamental machine learning models work under the hood by implementing them step by step.
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https://github.com/garcane/income-prediction-ml
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data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 30 Dec 2025
https://github.com/mtgsoftworks/blink-detecion-player
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dlib numpy opencv-python python3 scipy selenium-webdriver
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https://github.com/nolan-lwin/bells-palsy-ml-research
A Machine Learning Model to Grade the Severity of Bell's Palsy
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https://github.com/amari-calipso/papers-please-tasbot
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"Analise de dados sobre saúde"
jupyter-notebook matplotlib numpy pandas python
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https://github.com/zensam7/easy_my_ai
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https://github.com/shreeyas-48/creditcardfrauddetection
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https://github.com/officiallyxenos/30-days-of-data-analysis-projects-
30-day challenge to master data analysis by completing daily projects. Each project covers a key concept, from data cleaning to visualization, and builds a strong portfolio of real-world applications.
matplotlib numpy pandas python-3 seaborn statistics
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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
Last synced: 03 Oct 2025
https://github.com/sralter/sustainability_insights
A data analysis project that derived insights from an emissions dataset sourced from Climate TRACE.
duckdb eda matplotlib numpy pandas tableau
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https://github.com/torahappy/takasa
OpenStreetMap 高低差を考えた最短(?)経路問題ソルバー
numpy openstreetmap scipy shortest-path
Last synced: 30 Aug 2025
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/nirmit27/tensorflow-udemy
Learning TensorFlow ... a few steps at a time.
deep-learning machine-learning numpy python python3 tensorflow
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https://github.com/paulo-santos-ds/desenvolvimento_pocos_petroleo
Este projeto tem como objetivo desenvolver um modelo que possa prever o melhor local para a perfuração de poços de petróleo. Utilizando modelo de Machine Learning para poder prever o lucro de cada poço.
math matplotlib-pyplot numpy pandas python3 sklearn
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https://github.com/muhamedayoub/numerical-analysis-project
This repository contains an academic project for the numerical analysis module.
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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.
Last synced: 22 Mar 2025
https://github.com/khaymanii/parkinsons-disease-detection-model
This model was built with Python and Support Vector Machine Algorithm
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https://github.com/hugo-hattori/property_price_prediction_machine_learning
Machine Learning Project to create an AI capable of predicting property's rental prices.
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https://github.com/cusyio/datenverarbeitung-mit-numpy
Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.
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https://github.com/rusiruchapana/blood-group-prediction
Creating a machine learning project to predict blood groups from fingerprint patterns
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https://github.com/nvinayvarma189/deep-learning-with-tensorflow
This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. It will explain you the basics of tensorflow. You can visualize how tensors flow through a grapg while you create one
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https://github.com/mothnik/robust_fourier
Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba
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https://github.com/mramshaw/ml_with_missing_data
How to handle missing or incomplete data
incomplete-data machine-learning matplotlib ml numpy pandas python python3 scikit-learn seaborn sklearn
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https://github.com/jmcheon/python_piscine
This is Python Piscine(Bootcamp) at Ecole 42
bootcamp matplotlib numpy pandas piscine python3 seaborn
Last synced: 31 Dec 2025