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/rakibhhridoy/machinelearning-featureselection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest
Last synced: 02 May 2026
https://github.com/nekruzash/machine-learning-decision-trees
This is from CS2023 - AI/DS/ML class, trained a machine learning model with heart disease data sets to predict a correlation using numpy and pandas.
jupyter-notebook numpy pandas python
Last synced: 02 May 2026
https://github.com/quentinwidlocher/cours-python-pandas
Jupyter Lab sur le traitement des données en python
jupyter-lab matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/hansalemaos/permutation_no_repetition
Permutation without repetition - written in Cython - for Numpy
cython data-science no-repetitions numpy pandas permutations
Last synced: 14 Jan 2026
https://github.com/bhattbhavesh91/tf-numpy-example
Faster NumPy using Tensorflow's tf.experimental.numpy module
Last synced: 01 May 2026
https://github.com/animesh-ghosh/summer-training
Work done during Summer Training with OSAHub.
anaconda jupyter-notebook machine-learning numpy pandas python3 scikit-learn
Last synced: 12 Apr 2026
https://github.com/264gaurav/deep-learning
Deep Learning and Neural Network learning/building and exploring
artificial-neural-networks dagshub deep-learning deep-neural-networks dvc experiment-tracking hyperparameter-tuning keras-tensorflow keras-tuner mlflow-tracking numpy sklearn tensorflow testing training-data
Last synced: 06 May 2026
https://github.com/mmsaki/whale_portfolio
Determine which Whale portfolio is performing the best across multiple areas: volatility, returns, risk and Sharpe ratios.
datetime finance jupyter-notebook matplotlib numpy pandas pathlib python quantitative-finance seaborn stock-market trading-strategies
Last synced: 06 May 2026
https://github.com/khaymanii/house-price-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 06 May 2026
https://github.com/harmonicode/image-mixer
A PyQt5-based application for real-time image processing and reconstruction using frequency components like magnitude, phase, real, and imaginary parts. Adjust brightness and contrast, and mix images with ease.
fourier-transform image-processing numpy opencv pyqt5 python signal-processing
Last synced: 13 Mar 2026
https://github.com/scorleos773/three-body-problem-simulator
Three-Body Problem Simulation - A Python-based simulation of the Three-Body Problem with both 2D and 3D visualizations. Uses `matplotlib` and `scipy` to model gravitational interactions and animate orbital trajectories. 🚀🔭
differential-equations matplotlib mplot3d newtonian-mechanics numerical-integration numpy orbital-mechanics python runge-kutta-methods scipy-integrate three-body-problem three-body-simulation
Last synced: 02 May 2026
https://github.com/hanneskimara/ai-notebooks
Notebooks
mnist-classification neural-network notebook numpy
Last synced: 06 May 2026
https://github.com/yc1909/ai_impact_on_jobs
Impact of Artificial Intelligence on Jobs and Workplace-Analysis
analytics exploratory-data-analysis matplotlib numpy pandas seaborn
Last synced: 06 May 2026
https://github.com/sergio11/breast_cancer_diagnosis_mlp
🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖
deep-learning deep-neural-networks machine-learning mlp-classifier mlp-networks numpy sklearn sklearn-classify
Last synced: 21 Feb 2026
https://github.com/harmim/vut-sui-homework
Umělá inteligence a strojové učení - Domácí úloha
artificial-intelligence classification gaussian-distribution logistic-regression machine-learning matplotlib numpy nuralnetwork python scipy sui torch vut vut-fit
Last synced: 17 Apr 2026
https://github.com/swimshahriar/machine-learning
This repository contains the machine learning models that I have worked on during learning "Machine Learning".
Last synced: 16 Apr 2026
https://github.com/fiercex/toynn
Python实现神经网络
mnist-classification neural-network numpy python
Last synced: 15 May 2026
https://github.com/khaymanii/customer_segmentation_model
This model was built using Python and KMeans Clustering algorithm
matplotlib numpy pandas python sckit-learn seaborn
Last synced: 06 May 2026
https://github.com/403errors/offset-to-hydrostatic-curve
Group project for making hydrostatic curves from the given ship offset table using python libraries
data-visualization matplotlib-pyplot numpy python3 sklearn
Last synced: 10 May 2026
https://github.com/macagua/entrenamiento.data_scientist_python
Repositorio de manuales y recursos del entrenamiento "Data Scientist en Python" realizado por Leonardo J. Caballero G.
data-analytics data-scientist data-visualization numpy pandas-dataframe python37 streamlit
Last synced: 01 May 2026
https://github.com/platonn/comp-photography
Computational Photography course - University of Wroclaw
computational-photography image-processing numpy university-course
Last synced: 19 Jun 2026
https://github.com/khaymanii/big_mart_prediction_model
This model was built using Python and Logistic Regression Algorithm
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 01 May 2026
https://github.com/arnoldchrisoduor1/machinelearning-and-neuralnetworks
Starting out in Machine Learning.
numpy pandas python scikit-learn scipy sql tensorflow2
Last synced: 11 Apr 2026
https://github.com/an4pdm/exercicios-de-numpy
Repositório com exercícios básicos de Numpy para praticar.
exercicios-python exercicios-resolvidos exercises jupyter-notebook jupyterlab numpy numpy-exercises numpy-python python study tutorials
Last synced: 06 May 2026
https://github.com/brpy/100-prisoners-problem
Simulation of 100 Prisoners Problem using Python
numpy python simulation veritasium
Last synced: 14 Apr 2026
https://github.com/m-aadhi/game-review-sentiment-analysis
This project aims to analyze and predict the sentiment of game reviews using natural language processing (NLP) and machine learning techniques. The objective is to determine whether a review is positive, negative, or neutral based on its content.
matplotlib numpy pandas-library python
Last synced: 19 Jun 2026
https://github.com/aymen016/image-processing-algorithms
Explore Python-based image processing from scratch with core algorithms like interpolation, convolution, and filtering!
matplotlib numpy pillow python
Last synced: 13 Apr 2026
https://github.com/armahdavi/unsupervised-clustering-ml---pm_source_detection-indoor-air
Indoor PM2.5 source detection algorithm using unsupervised clustering ML method (k-means clustering)
climate-data dbscan dbscan-clustering jupyter-notebook kmeans kmeans-clustering matplotlib-pyplot numpy pandas pca python signal-processing spyder-python-ide tsne
Last synced: 06 May 2026
https://github.com/pacatro/lse2text
Deep learning program that translates Spanish Sign Language (LSE) to text in real time.
ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation
Last synced: 11 Apr 2026
https://github.com/ladityagogoi/shadowguard
The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices
css flask html javascript joblib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/mahnoorsheikh16/Credit-Card-Default-Prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization
Last synced: 01 Mar 2025
https://github.com/apoorva-info/eye-blink-detetction
Blink Detector Sensitive to Facial Orientation
mediapipe numpy opencv python3
Last synced: 28 Apr 2026
https://github.com/carmoreno/analisisaccidentalidadbogota
Data Analysis about traffic accidents at Bogotá, Colombia.
data-analysis data-science jupyer-notebook matplotlib numpy pandas scikit-learn
Last synced: 17 Apr 2026
https://github.com/varshan1123/football-analysis
Designed a soccer analytics system using YOLOv11 for player and ball tracking, with team classification and real-world movement analysis, enabling precise speed and distance assessments. Integrated automated reporting to enhance data-driven decisions for coaches and analysts.
gemini-api kmeans-clustering numpy opencv ultralytics yolov11
Last synced: 02 May 2026
https://github.com/pandeyankit123/books-recommender-system-using-machine-learning
This is a streamlit web application that can recommend various kinds of similar books based on an user interest.
jupyter-notebook machine-learning numpy pandas pickle python streamlit
Last synced: 12 Apr 2026
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: 12 Apr 2026
https://github.com/epsoft/fingerprint-feature-extraction-master
Fingerprint Feature Extraction master
cv2 extraction farsi feature fingerprint iran master math morphology numpy persian skimage square
Last synced: 21 May 2026
https://github.com/gaurangdave/house_price_predictions
Machine Learning Application to predict House Prices
hands-on learning-by-doing machine-learning numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/nemeslaszlo/emergency-911-calls
Covers emergency (911) Calls: Fire, Traffic, EMS for Montgomery County, PA analysis with visualizations.
jupyter-notebook matplotlib numpy pandas seaborn
Last synced: 06 May 2026
https://github.com/akshaypatra/expression_detector
The Expression Detector is an AI-based system that identifies and classifies human facial expressions in real-time . It utilizes computer vision and deep learning techniques to analyze facial features and determine the emotional state of a person, such as happiness, sadness, anger, surprise, fear, disgust, or neutrality.
keras-tensorflow neural-network numpy opencv-python python3
Last synced: 30 Apr 2026
https://github.com/hanzopgp/lstmcryptopriceprediction
TensorFlow LSTM neural networks which predict cryptocurrencies future prices. Starting from Sentdex's tutorial.
artificial-intelligence deep-learning lstm-neural-networks machine-learning matplotlib numpy personal recurrent-neural-networks tensorflow
Last synced: 11 May 2026
https://github.com/mark0011astra/simplecuda
CUDAを使用したGPU演算をNumPyと同様のインターフェースで簡単行えるライブラリ。A library that allows users to easily perform GPU operations using CUDA with a NumPy-like interface.
cuda cupy gpu machine-learning numpy python vector
Last synced: 02 May 2026
https://github.com/akash-rajak/large-image-preview
Python Script to view large image using scroll bars.
cv2 large-image large-image-preview numpy python3 tkinter
Last synced: 04 May 2026
https://github.com/aarryasutar/credit_eda
This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.
binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/thevarunsharma/similar-word-finder
A web application with Python backend which finds words similar to a given word, using pre-trained GloVe word embeddings.
flask-application machine-learning nlp numpy python word-embeddings
Last synced: 07 May 2026
https://github.com/rakibhhridoy/exploratorydataanalysis-python
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
ab-testing chitest data-science eda exploratory-data-analysis ftest hypotheses hypothesis-testing inferential-statistics numpy pandas python statistical-analysis statistics statsmodels ttest
Last synced: 30 Apr 2026
https://github.com/prodev717/neurogen
A simple Python library to build and train deep neural networks (SLP and MLP). It includes functions for forward propagation, backpropagation, loss calculation, and model saving/loading.
ai backpropagation deep-learning machine-learning mlp neural-networks numpy python slp
Last synced: 30 Apr 2026
https://github.com/ndohvich/ndohvich
Je suis un grand fan de l'analyse des données avev PYTHON
anaconda arduino data github jypyter keras machine-learning machine-learning-algorithms numpy pandas python scikit-learn sql tensorflow visual-studio-code visualization-dashboard
Last synced: 11 Apr 2026
https://github.com/leabrodyheine/water-pump-status-prediction
This project implements machine learning models to predict the status of water pumps in Tanzania using data from DrivenData's competition. The project includes preprocessing steps, model evaluation using cross-validation, and hyperparameter optimization with Optuna.
argparse cross-validation gradient-boosting-classifier logistic-regression machine-learning multilayer-perceptron numpy optuna pandas random-forest-classifier scikit-learn
Last synced: 11 Apr 2026
https://github.com/ngirimana/decision-trees-and-random-forest-
For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).
artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn
Last synced: 11 Apr 2026
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/dhairyac/student-performance-analysis
Analyze and visualize features affecting student performance
decision-tree-classifier logistic-regression matplotlib numpy pandas random-forest-classifier scikit-learn seaborn
Last synced: 07 May 2026
https://github.com/codehass/facial-emotional-detection
Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
Last synced: 12 Apr 2026
https://github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem
🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!
data-science jupyter keras notebooks numpy pandas python pytorch
Last synced: 12 Jun 2025
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
Last synced: 11 Apr 2026
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
Last synced: 29 Apr 2026
https://github.com/uni-creator/handwritten_number_recognition_system
A Handwritten Number Recognition System built from scratch using Deep Learning from Scratch. The model is trained on digit images and can classify handwritten numbers with high accuracy.
computer-vision deep-learning handwritten-digit-recognition image-processing implementation-from-scratch minst nueral-networks numpy pandas pytorch
Last synced: 17 Apr 2026
https://github.com/duartegalvao/smart-bottle
Project for the ID2012 course on KTH.
django django-rest-framework internet-of-things jupyter jupyter-notebook numpy python python3 ubiquitous-computing
Last synced: 07 May 2026
https://github.com/muhammad-fiaz/gpt
A simple implementation based on the "Attention is All You Need" paper, using GPT-2 for text generation.
attention-is-all-you-need gpt gpt-2 gpt-3 gpt-implementation gpt-using-pytorch gpt2 numpy open-source paper-implementations python pytorch pytorch-implementation
Last synced: 13 Apr 2026
https://github.com/alicankaya192/deep_learning_path
Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.
artificial-intelligence cnn data-science deep-learning gan jupyter-notebook lstm machine-learning neural-networks numpy python pytorch rnn tensorflow transformer
Last synced: 21 Jun 2026
https://github.com/westurner/pypfi
A Python package for personal finance
arrow bootstrap3 csv factoryboy jquery jquery-tocify numpy pandas personal-finance pivot-tables python
Last synced: 11 Apr 2026
https://github.com/ashar97/financial-engineering
Financial Engineering Practicum Assignments
financial-engineering matlab numpy pandas python r yahoo-finance
Last synced: 11 Apr 2026
https://github.com/Zion-Dev1/E-commerce-Analysis
Short machine learning project which analyses customer behaviour 🔎
analysis clustering ecommerce machine-learning numpy pandas sklearn
Last synced: 24 Oct 2025
https://github.com/mikediessner/benchfuncs
Benchmark functions to test optimisation algorithms.
benchmark-functions numpy optimization test-functions
Last synced: 17 May 2026
https://github.com/MITHILESHK11/Steganography-App-Aicte-Internship-Cybersecurity-Edunet-Foundation
Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.
hashlib numpy opencv3 python streamlit-webapp
Last synced: 24 Oct 2025
https://github.com/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
agent evolutionary-algorithms game game-solution genetic-algorithm genetic-algorithms gym neural-network numpy numpy-arrays pygame python stable-baselines3
Last synced: 11 May 2026
https://github.com/akashash01/akash_linear-regression
This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).
anova-test autocorrelation data-science heteroscedasticity linear-regression machine-learning mape multicollinearity numpy pandas python supervised-learning
Last synced: 07 May 2026
https://github.com/martincastroalvarez/python-recommender-systems
Recommender systems with numpy.
clustering condorcet-voting numpy recommender-system
Last synced: 29 Apr 2026
https://github.com/arkapg211002/data-analysis-prac
Data analysis practice
excel matplotlib-pyplot numpy pandas powerbi tableau
Last synced: 29 Apr 2026
https://github.com/moindalvs/simple_linear_regression_1
Predicting Delivery Time Using Sorting Time
aic bic data-transformation f-statistics likelihood log-transformation matplotlib numpy ols-regression ordinary-least-squares pandas-dataframe pandas-library prediction predictive-modeling residuals rmse-score simple-linear-regression sklearn sklearn-library
Last synced: 17 Apr 2026
https://github.com/sudipbishwakarma/bulk-remove-onesignal-users
Bulk remove OneSignal subscribed users blazingly faster with parallel processing.
numpy pandas python python-logger python-multiprocessing python-threading python3
Last synced: 07 May 2026
https://github.com/ananyachibber21/python-numpypandas-exercises
Exercises - Python for Data Science - NumPy + Pandas
Last synced: 07 May 2026
https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-
Can you predict soil parameters from hyperspectral earth observation data?
dee keras matplotlib neural-network numpy pandas seaborn
Last synced: 13 Apr 2026
https://github.com/aarryasutar/hate_speech_detection
This project aims to detect hate speech on Twitter using advanced NLP and machine learning techniques, exploring feature extraction methods like TF-IDF and sentiment analysis, and evaluating models such as Logistic Regression and SVM.
confusion-matrix doc2vec gensim logistic-regression matplotlib naive-bayes nltk numpy pandas python random-forest scikit-learn seaborn stemming stopwords-removal svm tf-idf-vectorizer tokenization vader word-cloud
Last synced: 09 Apr 2026
https://github.com/nikorasu/nantarray
An array-based cellular-automata implementation of my ant pheromone simulation!
ant-colony ant-colony-optimization ant-colony-simulation ant-simulation ants ants-simulator array cellular-automata emergent-behavior numpy numpy-arrays pheromone pheromones python python3 simulation swarm-intelligence trails
Last synced: 29 Apr 2026
https://github.com/sureshbeekhani/machine-learning-algorithms
A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.
dataanalysis datascience featurescaling linearregression machinelearning matplotlib numpy pandas python seaborn
Last synced: 28 Apr 2026
https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
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`.
curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split
Last synced: 10 Apr 2026
https://github.com/anish202020/weather_prediction_model_21int68_internship
Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.
keras-neural-networks keras-tensorflow matplotlib numpy pandas sklearn
Last synced: 12 Apr 2026
https://github.com/petitgrizzlies/metaheuristiques
Travaux pratiques de meta heuristique. Unige 2016-2017
cffi cpp golang heuristic-algorithm matplotlib numpy python35
Last synced: 13 Apr 2026
https://github.com/yash22222/sync-intern-s-ml-tasks
SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.
bhpp boston-house-datasets boston-house-price-prediction boston-house-pricing data data-structures machine-learning machine-learning-algorithms numpy pandas sync-intern sync-interns
Last synced: 07 May 2026
https://github.com/nathanaelsantos/dynamic-maze-search-algorithms
Dynamic-Maze-Search-Algorithms
conda docker graph-tool inteligencia-artificial numpy pygame python
Last synced: 24 Jan 2026
https://github.com/rhazra-003/plotting_practice
Plotting using matplotlib and numpy
jupyter-notebook matplotlib numpy plotting-in-python python statistics
Last synced: 07 May 2026
https://github.com/g-eoj/cv-tl-keras
Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.
cross-validation keras numpy scikit-learn transfer-learning
Last synced: 10 Apr 2026
https://github.com/hansalemaos/numpycythonpermutations
Permutations, Combinations and Product for Numpy - written in Cython - 20x faster than itertools
c combinations cython fast itertools numpy permutations product python
Last synced: 08 May 2026
https://github.com/moindalvs/assignment-basic-stats-level1
Assignment Basic Stats
bia binomial-distribution boxplot confidence-intervals datatypes descriptive-statistics inferential-statistics normal-distribution numpy pandas probability python3 scipy-stats statistics z-score
Last synced: 24 Jan 2026
https://github.com/hpennington/mono-visual-odometry
Monocular Visual Odometry in NumPy
computer-vision numpy opencv python
Last synced: 28 Apr 2026
https://github.com/kritimbist/365-days-of-github-challenge-ai-machine-learning
This repository is part of my 365 Days Challenge: AI × Machine learning, where I combine my passion for Machine Learning 🤖 to learn, build, and document projects every single day for one year.
data-science data-visualization deep-learning machine-learning matplotlib numpy python scikit-learn
Last synced: 28 Apr 2026
https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization
Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard
communication dash dashboards data-modeling elt etl folium matplotlib numpy pandas pipelines plotly python scipy seaborn visualization
Last synced: 10 Apr 2026
https://github.com/ikaushikpal/ml_prerequisite
In this repository, I'm just practicing the basics of data visualizing and data clearing, thanks for checking my repo
jupyter-notebook matplotlib numpy pandas python
Last synced: 28 Apr 2026
https://github.com/sitamgithub-msit/maldetect
A Deep Learning application for Malaria Detection
comet-ml containers deep-learning docker efficientnetb0 experiment-tracking flask-api google-cloud-build google-cloud-platform google-cloud-run html-css-javascript keras-cv keras3 matplotlib numpy pytest python serverless tensorflow tensorflow-datasets
Last synced: 23 Mar 2025
https://github.com/sentustudio/cookiecutter-ciencia-datos
Template para proyectos de ciencia de datos e ingeniería de datos
ai cookiecutter cookiecutter-data-science cookiecutter-template data-science jupyter-notebook machine-learning numpy pandas pyspark
Last synced: 27 Apr 2026
