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: 2026-02-04 00:22:28 UTC
- JSON Representation
https://github.com/yc1909/data_job_classification_and_analysis
Data Classification and Analysis based on user's skillset.
classification exploratory-data-analysis feature-engineering machine-learning numpy pandas python scikit-learn
Last synced: 21 Feb 2025
https://github.com/tameronline/tameronline
Showcasing Projects on Data Analysis, Programming, and AI — Developed Using Python and Modern Frameworks
data-analysis deep-learning flask machine-learning numpy pandas python3 sql web-development
Last synced: 11 Jun 2025
https://github.com/winston-dsouza/movie-recommender-system
Machine Learning for movie suggestion
genre kmeans-clustering machine-learning matplotlib movie-recommendation numpy pandas python python3 random-forest ratings recommender-system scikit-learn
Last synced: 30 Dec 2025
https://github.com/adityajn105/kagglesolvedproblem
Data Science problem on Kaggle Solved by me. Keep improving Accuracy.
kaggle kaggle-competition numpy pandas python scikit-learn tensorflow
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https://github.com/cploutarchou/web-scraping-with-python
A StackOverflow Web Scaper in python and MongoDB
beautifulsoup dashboard docker dockercompose mongodb numpy pandas python scraper scraping
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https://github.com/nachiket273/mlcourse
Solutions to mlcourse.ai assignments
ai-assignments clustering decision-trees ensemble knn linear-models machine-learning matplotlib mlcourse numpy pandas python random-forest sgd sklearn time-series
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https://github.com/nicolasperez19/mic-master-flex
MicMasterFlex is a web app that allows users to configure the positions of a microphone array on an interactive grid. Designed for audio engineers and researchers, this tool offers an intuitive interface for precise microphone placement, enabling users to simulate and optimize array setups for various acoustic applications.
ai astro audio-processing grid-configuration microphone-array numpy numpy-arrays productivity react research robotics tailwindcss typescript
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https://github.com/souvikmajumder26/ieee-ecg-ensemble-xgboost
👨💻 Developed AI Models - Ensemble of Random Forest & SVM and XGBoost classifiers to classify five types of Arrhythmic Heartbeats from ECG signals - published by IEEE.
data-science ensemble-classifier ensemble-learning ensemble-machine-learning ensemble-model machine-learning matplotlib numpy pandas python python3 random-forest scikit-learn scikit-learn-python scikitlearn-machine-learning support-vector-machine svm svm-classifier svm-model xgboost
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https://github.com/beinsezii/skrample
Composable sampling functions for diffusion models
diffusers diffusion-models numpy pytorch
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https://github.com/2000pawan/heart-dieases-prediction
"Excited to announce my latest project on LinkedIn! ❤️ Introducing my heart disease prediction ML model deployed on Streamlit. With the powerful Random Forest Classifier algorithm, this solution achieves an impressive accuracy of 98% on training and 93% on testing data. Join me in leveraging technology to enhance healthcare outcomes! 💻🩺 .
artificial-intelligence jupyter-notebook machine-learning numpy pandas python random-forest-classifier streamlit vscode
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https://github.com/summitkwan/dynamicnn
neural network with dynamics
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https://github.com/bhavik-jikadara/lgmvip-datascience
LetsGrowMore Virtual Internship Program 2021
data-science jupyter jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn
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https://github.com/jyotindersingh/tinyflow-deep-learning-framework
A Neural Network framework built from scratch in Python.
ann-framework hacktoberfest neural-network neural-network-framework numpy
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https://github.com/ranjan2104/diabetes-prediction-application
It is a Model that Predict the Diabetes Status of any person by just giving the some observations so that take the decision on that with the accuracy of 93%+. Due to Trained Model with Data sets so that able to predict very carefully on the previous decision it is supervised learning model using an algorithm is Linear regression and Sklearn for testing and Training the Model and Flask is Uses in Backend and in Frontend HTML, CSS, Js is Using.
flask gunicorn itsdangerous jinja2 markupsafe matplotlib numpy pandas scikit-learn scipy werkzeug
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https://github.com/rolmip/polyany
A Python package for algebraic manipulation of multivariate polynomials.
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https://github.com/e-candeloro/data-analysis-code-snippets-for-pandas-and-sklearn
These notebooks are useful to learn how to load, understand, clean and classify data using Pandas and Sklearn with Python
analysis big-data classification data datascience datavisualization machine-learning notebook numpy pandas python sklearn
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https://github.com/amarlearning/linear-regression-iris-dataset
Applied Multivariable Linear Regression on Iris Dataset
beginner-project gradient-descent linear-regression machine-learning matplotlib mean-square-error multivariate-regression numpy
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https://github.com/saptak625/doublependulum
This repository is my derivation of the equations of motion of a double pendulum using Lagrangian Mechanics and then solving the nonlinear, coupled equations using a Runge-Kutta 45 integration scheme.
differential-equations lagrangian-mechanics matplotlib numerical-integration numpy python scipy vpython
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https://github.com/madhuresh2011/amazon-sales-report-analysis-using-python
This project focuses on analyzing Amazon sales data using Python to uncover insights into sales performance, customer behavior, and product trends
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https://github.com/piyush1927/flightforecast
ML model to predict flight prices based on various features like departure time, arrival time, duration, airline, source, destination, and number of stops.
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https://github.com/yashuv/numpy-for-data-science
A well structured practical deep dive into functional programming in NumPy.
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https://github.com/raju-2003/indiaai-cyberguard-ai-hackathon
An NLP-powered system to simplify cybercrime reporting by analyzing descriptions, categorizing incidents, and providing actionable insights.
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https://github.com/iv4n-ga6l/openpose-prediction
Person's body parts or joint position detection using openCV
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https://github.com/amir78729/numpy-image-manipulation
Linear Algebra course - Final Project
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https://github.com/mamtapanda088/uber-data-analysis
Uber data analysis involves studying trip trends, peak hours, popular locations, fare patterns, and visualizing insights using Python.
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https://github.com/killercavin/dataanalysis
This Repository focuses on learning Data Mining, Analysis & Visualization using Python
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https://github.com/akashash01/akash_linear-regression
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https://github.com/oleksiilatypov/face_app_edit
DRU style gan project
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https://github.com/shriram-vibhute/digit_classification
This project demonstrates various machine learning techniques for classifying handwritten digits from the MNIST dataset. It covers data preprocessing, model training, evaluation, and advanced classification strategies.
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https://github.com/pycraftdeveloper/visual-music
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https://github.com/arufonsekun/computer-vision
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https://github.com/vustron/car_price_predictor_backend
The backend server for the machine-learning model for prediction of car price
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https://github.com/duartegalvao/smart-bottle
Project for the ID2012 course on KTH.
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https://github.com/ankushmallick1100/task-2-the-sparks-foundation-data-science-and-business-analytics-internship
Task 02: Clustering using Unsupervised Machine Learning
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https://github.com/sharan-vj/python_for_datascience
Resources for revising basic concepts in Numpy, Pandas, Matplotlib, and Seaborn. along with SQL Database.
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https://github.com/mohamedawnallah/covid19-dataanalysis-python
how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
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https://github.com/martincastroalvarez/python-deep-learning-algorithms
Combinatorics implemented with numpy, matplotlib and scipy.
algebra combinatorics matplotlib numpy python scipy
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https://github.com/otakmager/projectml-clusteringweb
This repo is the result of a project assignment for a machine learning course at my university which was assisted by other group members. This project is to create a website that can cluster from the models that have been made. This model was created using the KMeans algorithm with 3 clusters that were trained with the seed dataset
bahasa-indonesia clustering-algorithm flask jupyter-notebook kmeans-clustering numpy pandas pickle python scikit-learn seed-dataset
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https://github.com/gauravtrivedi967/mask_detection
In the present scenario due to Covid-19, there is no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. Also, the absence of large datasets of ‘with_mask’ images has made this task more cumbersome and challenging.
Last synced: 17 Mar 2025
https://github.com/harmanveer2546/music-genre-classification
Classifying the genre of a music using deep neural networks.
cnn deep-learning ipython keras knn labelencoder librosa music numpy pandas pickle python scipy sequential svc tensorflow
Last synced: 29 Dec 2025
https://github.com/udacity-machinelearning-internship/finding_donors
First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python
csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree
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https://github.com/katerynazakharova/olive-separation
CV
cv2 image-classification numpy opencv python3
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https://github.com/takana671/photoeditor
Python image processing tool
canvas composite dialog-box drag images-dragged numpy opencv photoeditor pillow pixel tkdnd tkinter tkinter-canvas tkinter-python tkinterdnd tkinterdnd2
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https://github.com/dulajkavinda/live-sketching
✍️ Converting live video stream from webcam into a sketch using OpenVC and Keras
added image-filtering keras machinelearning matplotlib numpy opencv python
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https://github.com/eljandoubi/landmark-classification-tagging-for-social-media
a CNN-powered app to automatically predict the location of the image based on any landmarks depicted in the image.
cnn-classification numpy pytest pytorch transfer-learning
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https://github.com/eljandoubi/huggingface_image_classifier
Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.
huggingface-datasets huggingface-optuna huggingface-peft huggingface-transformers hyperparameter-optimization image-classification numpy pytorch visual-transformer
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https://github.com/saif-gitreps/car-price-prediction-model
ML model that predicts car price based on different car features. (in dev..)
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https://github.com/sakshisrivastava-2601/credit-card-fraud-detection
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https://github.com/serhatderya/tabular-playground-series
This repository contains solutions of monthly Tabular Playground Series in Kaggle.
ai artificial-intelligence data data-preprocessing data-processing data-science data-visualization jupyter-notebook kaggle machine-learning numpy pandas python regression scikit-learn scikitlearn-machine-learning seaborn software statsmodels
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https://github.com/RYANFRANKLIN237/Data-science-ml
trained ML and DL models to give accurate classifications,predictions and recommendations
artificial-neural-networks convolutional-neural-networks jupyter-notebooks kaggle keras logistic-regression naive-bayes-algorithm numpy pandas python scikitlearn-machine-learning tensorflow
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https://github.com/rhazra-003/sketcher
A simple python code to make sketch out of any given photo using opencv and numpy
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https://github.com/isaacef/independent-motion-detector
Detect independently moving objects in a scene captured by a single camera.
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https://github.com/renan-siqueira/face-recognition-research
This project pertains to video analysis, face recognition, and image clustering.
data-science deep-learning dlib docker docker-image face-recognition machine-learning neural-network neural-networks numpy opencv opencv-python pillow python scikit-learn scipy
Last synced: 23 Aug 2025
https://github.com/nathanielsimard/numpy-mnist-classifier
Feed forward neural network using Numpy for MNIST classification.
deep-learning machine-learning mnist mnist-classification mnist-classifier numpy
Last synced: 02 Apr 2025
https://github.com/tynab/inferential-statistics
CyberSoft Machine Learning 03 - Inferential Statistics
anaconda anaconda-navigator cybersoft cybersoft-academy inferential-statistics ipynb jupyter-notebook machine-learning machine-learning-03 matplotlib ml ml-03 numpy pandas py python scikit-learn scipy seaborn sklearn
Last synced: 02 Mar 2025
https://github.com/sumitgirwal/diabetes-linear-regression-ml
This is a simple diabetes checker machine learning test model, build with linear regression in Python , Matplotlib, NumPy, and sklearn. Diabetes is built in a dataset within the sklearn library. Where first you train the model then you apply a test to see how the output/result is approximate/good or change something in the model.
linear-regression matplotlib numpy python3 sklearn
Last synced: 20 Mar 2025
https://github.com/hamidhosen42/a-graph-machine-learning
Graph-Machine-Learning. Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks.
ipynb-jupyter-notebook machine-learning-algorithms mathplotlib numpy pandas python sklearn-library
Last synced: 02 Mar 2025
https://github.com/the-developer-306/house-price-predictor
House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.
csv ipynb-jupyter-notebook joblib matplotlib numpy pandas python scikit-learn
Last synced: 02 Mar 2025
https://github.com/abhy-kumar/ahmedabad-weather-projection
This notebook tries to predict Ahmedabad's weather using historical trends
arima-forecasting numpy pandas python
Last synced: 02 Apr 2025
https://github.com/lunastev/flowmodel
FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.
ai ai-model ai-models beginner-friendly flow-model flow-models flowmodel framework lightweight machine-learning model numpy plugin-architecture python torch torchvision
Last synced: 20 Mar 2025
https://github.com/rasbeetech/loan-calculator
Tkinter framework application
matplotlib numpy python tkinter
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https://github.com/sominw/cheatsheets
Useful cheatsheets for DS.
cheat-sheets cheatsheet numpy pandas probability
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https://github.com/yanboishere/Trade.with-SuperTrend.parameter
OKX API to confirm the process of appearance and disappearance of upper or lower limit lines for the super trend parameters in crypto trading pairs in TraderView, and perform multiple buying and selling transactions based on this parameter index.|对于crypto交易对中 TraderView中的超级趋势参数 出现以及消失上限线或下限线前后过程进行确认 从而根据该参数指标的出现 进行多次合约做多&做空 开仓买卖 (使用OKX api)
bitcoin blockchain bot btc crypto cryptocurrency cryptography numpy okx okx-api okx-sdk okx-v5 python talib trade trade-bot tradebot
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https://github.com/akash-rajak/video-cropper
Script to crop video according user's size and dimension.
cv2 numpy python3 tkinter video video-cropper
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https://github.com/akash-rajak/image-resizer
Python Script to resize image to any dimension.
cv2 gui image-resizer numpy os python3 random resizeimage tkinter
Last synced: 26 Mar 2025
https://github.com/akash-rajak/image-noise-remover
Python Script to remove noise from image.
cv2 image-noise-remover numpy os python3 random tkinter
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https://github.com/yannbouyeron/genopy
Analyses génétiques et phylogénétiques pour les SVT
biopython genetique lycee numpy pandas phylogenie svt
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https://github.com/petitgrizzlies/metaheuristiques
Travaux pratiques de meta heuristique. Unige 2016-2017
cffi cpp golang heuristic-algorithm matplotlib numpy python35
Last synced: 21 Feb 2025
https://github.com/anumit-web/ml-masterlist-2024
ML Masterlist, Machine Learning, 2024
image-segmentation kmeans-clustering machine-learning matplotlib numpy pandas reinforcement-learning scikit-learn supervised-learning unsupervised-learning
Last synced: 19 Jan 2026
https://github.com/katerynazakharova/deep-learning-and-neural-networks
Examples of NN models. DL algorithms
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Last synced: 26 Mar 2025
https://github.com/marcosalvalaggio/lana
Experimental Linear Algebra library written in Rust
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https://github.com/ahsan-83/machine-learning-specialization-coursera
Machine Learning Specialization course offered by DeepLearning.AI on Coursera
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Last synced: 26 Mar 2025
https://github.com/spandey1296/internship_banking_ml_project
Machine Learning (Training + Internship) by InternshipStdio
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https://github.com/sonu275981/face-mask-detection-web-app
Face Mask Detection web application built with Flask, Keras-TensorFlow, OpenCV. It can be used to detect face masks both in images and in real-time camera video using browser.
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https://github.com/flazefy2/ds-customer_shopping
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Last synced: 21 Feb 2025
https://github.com/aryansk/mnist-deep-learning-exploration
This repository contains implementation of various deep learning approaches for the MNIST handwritten digit classification task, using both scikit-learn and Keras frameworks.
keras machine-learning machine-learning-algorithms mnist-classification numpy python scikit-learn tensorflow
Last synced: 27 Mar 2025
https://github.com/furkankayar/hybridneuralnet
Decision tree powered artificial neural network library.
cpp decision-tree neural-network numpy pybind11 python3
Last synced: 02 Mar 2025
https://github.com/henriqueotogami/curso-de-python3-udemy
Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.
iris-dataset jupyter-notebook linear-regression numpy pandas-python python3 udemy
Last synced: 10 Apr 2025
https://github.com/gauranshgoel123/predictive-demand-analysis
Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend
chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render
Last synced: 01 Nov 2025
https://github.com/mnitin-reddy/reducing-review-overhead-with-ml-based-application-screening
A machine learning classification project to filter out low-probability visa applications using historical data. It features an end-to-end implementation with CI/CD on AWS, achieving 93% accuracy with a KNN model optimized through Optuna, alongside integration of MLOps tools like Evidently and MLflow.
aws docker githubactions hypothesistesting machinelearning matplotlib mlflow mlops mongodb numpy optuna pandas python scikit-learn seaborn
Last synced: 09 Apr 2025
https://github.com/luismisanve/gguf-to-pytorchtensor
Simple Python Script that converts the Weight of a GGUF Model to a PyTorch Tensor
gguf-models huggingface llamacpp numpy python pytorch tensor
Last synced: 10 Jun 2025
https://github.com/kavithma-thushal/machine-learning-room-gdse66
Welcome to the Machine Learning Room GDSE66 project! This resource is dedicated to exploring machine learning concepts, where we build and experiment with various models to solve real-world problems.
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Last synced: 03 Apr 2025
https://github.com/shreeparab1890/flipkart-laptops-analysis-eda
This ipython notebook is the Exploratory data analysis (EDA) of the Laptops listed on Flipkart.
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https://github.com/mauriciovazquezm/machinelearning_course_spring2023
Machine Learning course tasks focused on the implementation of the ML algorithms using libraries such as Numpy, Pandas, etc.
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Last synced: 08 Sep 2025
https://github.com/sarmadahmad8/digit-recognizer-91.4-accuracy
Digit Recognizer 91.4% accuracy
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Last synced: 22 Jun 2025
https://github.com/v-mayya/python-sales-data-analysis
Group project with another team member held by CFG to conduct spreadsheet data analysis of fake sales data using Python
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https://github.com/codewitheshayoutube/corvit_python_data_analytics_course
I teach Python & Data Analytics at Corvit Systems. This repository contains all course materials, including code, assignments, projects, and resources. ⭐ Stay updated!
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https://github.com/abhishek010397/machinelearning-modeltraining
Machine Learning Model Training for Car Detection
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Last synced: 09 Apr 2025
https://github.com/upul/chocolate-quality-analysis
This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.
machine-learning numpy pandas predictive-analytics scikit-learn
Last synced: 12 Mar 2025
https://github.com/nazli-d/binary-classification-using-cnn
This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.
binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow
Last synced: 21 Feb 2025
https://github.com/emersonpenelli/100-days-of-code-with-python
Repositório da jornada de 100 dias codando em Python.
100daysofpython flask numpy pandas plotly python selenium-webdriver sqlite tkinter
Last synced: 04 May 2025
https://github.com/jaffar-hussein/python-pdb-parser-and-analysis
A Python-based parser and analysis tool for Protein Data Bank (PDB) files. The project aims to facilitate the manipulation of PDB files, enabling users to extract and compute various structural properties of proteins, such as counting amino acid residues and calculating distances between atoms.
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Last synced: 17 Mar 2025
https://github.com/mchenryspagg/outlier-detection-in-election-data
This project aims to examine possible voting irregularities in Nigeria's 2023 election, focusing on alleged vote manipulations by INEC. It seeks to ensure election transparency by identifying polling units with results that significantly differ from nearby units.
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https://github.com/aramshiva/boids
🦅 Artifical Swarm Intelligence
art boids generative math numpy pygame python swarm
Last synced: 17 Mar 2025