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: 2026-07-02 00:21:34 UTC
- JSON Representation
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: 29 Apr 2026
https://github.com/aarryasutar/logistic_regression_on_age_prediction
This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.
accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization
Last synced: 20 Jan 2026
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
Last synced: 05 Aug 2025
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: 08 Apr 2026
https://github.com/malwarebo/carcinet
Basic breast cancer detection using Machine Learning
deep-learning keras machine-learning matplotlib numpy python3 scipy tensorflow
Last synced: 09 Apr 2026
https://github.com/drill-n-bass/data-analysis-projects
Projects related to my Data Analyst path.
analysis data-analysis data-visualization matplotlib matplotlib-pyplot mysql mysql-database numpy pandas pandas-dataframe pandas-library pandas-python python python3 seaborn seaborn-plots static-analysis statistics
Last synced: 07 Apr 2026
https://github.com/edwardcdev/satellites-chart
A simple dashboard for satellites data statistics by displaying charts such as line-marker, histogram and box charts.
Last synced: 09 Apr 2026
https://github.com/its-maneeshk/fake-product-detection-system
The Fake Product Review Detection System is a machine learning-powered web application designed to analyze and detect fake reviews on eCommerce platforms. It helps users identify whether a product has genuine or manipulated reviews by leveraging Natural Language Processing (NLP) and supervised learning models.
api beautifulsoup4 fetch-api flask html-css-javascript joblib nlp-machine-learning numpy pandas python reactjs requests scikit-learn
Last synced: 05 Mar 2025
https://github.com/aryehky/ml-theory-to-implementation
📚🧠 Explores core machine learning concepts through interactive, hands-on Jupyter notebooks. From building a neural network from scratch to applying dimensionality reduction and classification with real-world libraries, this project bridges the gap between theory and practical application.
4d-database jupyter-notebook machine-learning matploblib numpy pca-analysis
Last synced: 23 Jun 2025
https://github.com/ksasi/boston_housing
Predicting Boston Housing Prices - Udacity
machine-learning numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/fractalyze/zk_dtypes
A NumPy dtype extension used in Zero Knowlege libraries
Last synced: 02 Jan 2026
https://github.com/burhanahmed1/data-analysis-with-python
Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.
data-analysis data-aquisition data-insights data-science data-wrangling dataanalytics datascience-machinelearning eda exploratory-data-analysis machine-learning-models matlpotlib numpy pandas practice-programming prediction-model python scikit-learn scikitlearn-machine-learning seaborn
Last synced: 24 Feb 2025
https://github.com/RedInfinityPro/Laser-Strategy
Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
math numpy pygame random sys time
Last synced: 30 Sep 2025
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
Last synced: 13 May 2025
https://github.com/aaa1928/iris-ml-classifier
PyTorch model that classifies Iris species based on characteristics about the length and width of sepals and petals.
deep-learning iris-classification iris-dataset machine-learning neural-network numpy pandas python pytorch scikit-learn
Last synced: 05 Apr 2026
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
charts cleaning-data data-analysis jupyter-notebook matplotlib numpy pandas python seaborn visualization
Last synced: 17 Apr 2026
https://github.com/matheussc017/irisclassification_sklearn
Application of Machine Learning technique to classify 3 types of iris flower
data-science machine-learning numpy pandas python
Last synced: 09 Apr 2026
https://github.com/ankushmallick1100/Diabetes-Prediction-of-Females-using-Maching-Learning-Techniques
This is a machine learning project that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LRwith CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library. Paper is ongoing.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
Last synced: 29 Sep 2025
https://github.com/hq969/ecomind
EcoMind is an end-to-end AI-driven sustainability platform designed to address two critical global challenges: accurate climate forecasting and energy-efficient computing infrastructure. The system integrates multimodal climate datasets (temperature, CO₂, humidity, sea-level data) with deep learning models to generate predictive climate scenarios.
kubernetes numpy pandas python reinforcement-learning tensorflow
Last synced: 01 Jul 2026
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
Last synced: 08 Apr 2026
https://github.com/shreeparab1890/movie-recommender-system
This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization
Last synced: 09 Apr 2026
https://github.com/datarohit/nfl-big-data-bowl-2022--analysis
This is a Jupyter Notebook containing the analysis performed on a Kaggle Competition Dataset which contains data about NFL players and games.
kaggle kaggle-competition matplotlib-pyplot numpy pandas plotly python seaborn
Last synced: 09 Apr 2026
https://github.com/theankurgoswami/study-notes
Notes of topics I study.😛
deep-learning-book linear-algebra numpy opencv pandas regular-expressions sql tensorflow
Last synced: 09 Apr 2026
https://github.com/arunagirinathan-k/text-classifier-using-nlp_techniques
A Text Classification using NLP Techniques.
matplotlib nlp nltk numpy pandas scikit-learn seaborn spacy text-classification
Last synced: 09 Apr 2026
https://github.com/paulo-santos-ds/rotatividade_de_clientes
A operadora de comunicações InternetGO está interessada em prever a rotatividade de seus clientes (churn). Se for identificado que um usuário está planejando trocar de operadora, a empresa poderá oferecer códigos promocionais e opções de planos especiais para evitar a perda desse cliente.
catboost numpy pandas pyplot python seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/xenia101/local-outlier-factor
Deriving the Local Outlier Factor Score
algorithm algorithms classification local-outlier local-outlier-factor lof machine-learning numpy pandas python python3 sklearn sklearn-library
Last synced: 09 Apr 2026
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: 11 Apr 2026
https://github.com/rhazra-003/flight_delay_predictor
A ML model to predict Flight Delays
azure-storage jupyter-notebook matplotlib numpy pandas scikit-learn seaborn
Last synced: 13 Apr 2026
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
Last synced: 07 Apr 2026
https://github.com/vidhi1290/essay-quality-prediction-keystroke-analysis-with-randomforest
Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨
essay-quality-prediction kaggle-competition machine-learning mean-square-error nlp-machine-learning numpy pandas random-forest random-forest-regressor scikitlearn-machine-learning seaborn sklearn
Last synced: 03 May 2026
https://github.com/rickymagner/nonlinear-gradient-descent
An example of using gradient descent to approximate noisy data sampled from a cubic curve.
matlab matplotlib numpy octave pandas python
Last synced: 09 Apr 2026
https://github.com/gaurav9364/credit-card-fraud-detection
Credit Card Fraud Detection using Machine Learning – A classification project that detects fraudulent credit card transactions using supervised learning, with data preprocessing, handling class imbalance, and model evaluation (ROC-AUC, Precision, Recall, F1-score).
googlecolab imbalanced-learn matplotlib numpy pandas python scikit-learn seaborn xgboost
Last synced: 08 Apr 2026
https://github.com/jimmymugendi/neural-network-for-binary-classification
aws neural-networks numpy pandas sagemaker tensorflow
Last synced: 09 Apr 2026
https://github.com/tynab/lottery
Xổ số kiến thiết
crawl da data-analyst deep-learning dl jupyter-notebook lottery matplotlib numpy pandas pip pip3 py python scikit-learn sklearn tynab xo-so xo-so-kien-thiet yan
Last synced: 03 Aug 2025
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
Last synced: 22 Oct 2025
https://github.com/ioangatop/machinelearning
Implementation and analysis of core Machine Learning Algorithms from scratch.
bayesian baysian-inference classification expectation-maximization gaussian-processes ica independent-component-analysis jupyter-notebook logistic-regression machine-learning multiclass-logistic-regression neural-network numpy polynomial-regression python3 regression support-vector-machines svm-classifier vae vae-pytorch
Last synced: 13 Apr 2026
https://github.com/hanai/nb_quantopian
量化交易笔记
jupyter numpy pandas python quantitative tiingo
Last synced: 09 Apr 2026
https://github.com/hariprasath-v/mh_google_cloud_bigquery_ltv_prediction_challenge
Build a model that can predict customers' Long Term Value (LTV).
bigquery colab-notebook klib machine-learning matplotlib numpy pandas python python3 seaborn
Last synced: 09 Apr 2026
https://github.com/willprice/arsenal
Personal arsenal of python utilities
data-science machine-learning numpy pandas personal-tools python
Last synced: 09 Apr 2026
https://github.com/ewertondrigues02/dados-do-covid-19
Análise exploratória dos dados do COVID-19 / de 22 de Janeiro de 2020 a 27 de Julho de 2020 em 188 países análise feita com as ferramentas como: jupyter Notebook, Google Colab, Excel, Power BI e bibliotecas: Pandas, Matplotlib, Numpy.
analise-exploratoria colab covid-19 covid19 dataframe folium folium-maps folium-python google-colab jupyter jupyter-notebook numpy pandas python3
Last synced: 02 May 2026
https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app
This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.
bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss
Last synced: 09 Apr 2026
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: 13 Apr 2026
https://github.com/naharashu/num.js
Fast and big library for mathematics and science work(analog of numpy for js)
arrays cdn javascript library math maths numjs numpy open-source web website
Last synced: 07 May 2025
https://github.com/bhargav-joshi/img-caption-generator
Automatically creating the description or caption of an image using any natural language sentences is a very challenging task. It requires both methods from computer vision to understand the content of the image and a language model from the field of natural language processing to turn the understanding of the image into words in the right order. In addition to that we have discussed how this model can be implemented on web and will be accessible for end user as well.
flask jupyter-notebook keras machine-learning nlp nltk numpy pandas python tensorflow
Last synced: 09 Apr 2026
https://github.com/aymen016/film-recommendation-engine
A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.
flask numpy pandas pickle python scikit-learn streamlit
Last synced: 09 Apr 2026
https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering
This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters
jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning
Last synced: 09 Apr 2026
https://github.com/srgrace/data-cleaning-challenge
Data Cleaning Challenge
data-science jupyter-notebook numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/antonvagabond/maze
Operation and functionality of two mazes.
matplotlib maze numpy pillow python python3
Last synced: 07 May 2026
https://github.com/vartikaraj2512/animalclassification
🐾 Animal Classification: Classify 28K animal images into 10 categories using CNNs with Transfer Learning. 📥 Load & extract data, 🔄 preprocess images, 🧠 train models (VGG-16 & ResNet50), and 📈 plot performance. Libraries: OpenCV (BGR), TQDM (progress bars), Categorical (one-hot encoding). 🛠️ Install: pip install tensorflow numpy opencv-python
classification cnn kaggle machine-learning numpy opencv pandas tensorflow
Last synced: 20 Jan 2026
https://github.com/aakashks/ct-reconstruction-2d
Python Implementation of Computed Tomography (CT) reconstruction for 2D images
computed-tomography ct-reconstruction numpy
Last synced: 09 Aug 2025
https://github.com/jhonatanthiago/projeto_inteligencia_artificial_em_python
Python IA: Inteligência Artificial e Previsões
inteligencia-artificial ipython-notebook numpy pandas-python previsao python sklearn
Last synced: 22 Jan 2026
https://github.com/vedanty3/heart-disease-prediction
This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)
confusion-matrix correlation-matrices jupyter-notebook knn-classification logistic-regression machine-learning matplotlib numpy pandas python random-forest randomforestclassifier roccurve scikit-learn sklearn zerotomastery
Last synced: 09 Apr 2026
https://github.com/khaymanii/parkinsons-disease-detection-model
This model was built with Python and Support Vector Machine Algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 19 Apr 2026
https://github.com/nehalmr/qiksit-fall-fest-hackathon-2024
The Qiskit Hackathon is a unique opportunity for students to dive into the fascinating world of quantum computing. Participants will collaborate in teams to tackle a series of challenging problems that test their creativity, problem-solving skills, and understanding of quantum algorithms. This hackathon aims to inspire innovation in QC.
cpython hackathon ibm ibm-qiskit ibm-quantum-challenge matplotlib numpy python python3 qbits qiskit qiskit-tutorial quantum-algorithms quantum-computing quantumcircuits quantumregister
Last synced: 11 May 2026
https://github.com/amir78729/signals-and-systems
The Implementation section of the "Signals and Systems" course
convolution fft fourier-transform numpy python scipy signals signals-and-systems
Last synced: 06 Apr 2026
https://github.com/artikumari28/movie-recommender-system
This project is a content-based movie recommendation system, where movies are recommended based on their similarity in content. The system analyzes various features such as genres, cast, and descriptions to suggest similar movies.
google-colab machine-learning nltk numpy pandas pickle scikit-learn streamlit
Last synced: 06 Apr 2026
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
data-science internship-task intership jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 supervised-learning supervised-machine-learning thesparksfoundation thesparksfoundationinternship tsf
Last synced: 09 Apr 2026
https://github.com/tabotcharlesbessong/recommendationframeworks
learning deep learning and machine learnint
matplotlib numpy os pandas pillow python3 pytorch
Last synced: 08 Apr 2026
https://github.com/syedaanif/ds-ml-pyhton
This repo contains learnings about Data Science and Machine Learning using Python
artificial-intelligence data-science machine-learning matplotlib numpy pandas plotly python seaborn
Last synced: 07 Apr 2026
https://github.com/abdullokhonz/python_lessons
Python lessons are here.
abramyan codewars eel flappy-bird gtts instaloader instasaver leetcode lessons numpy os pygame pyowm python python3 random telebot tkinter turtle
Last synced: 15 May 2026
https://github.com/ahammadshawki8/numpy-journey
🎉 Welcome to the journey with NumPy! From this repository, You can learn all about Numpy. ✔
array beginner-friendly math numpy python
Last synced: 02 Aug 2025
https://github.com/quantum-software-development/statistical-measures
This repository contains a statistical analysis of customer service ratings for Biscobis Ltd
machine-learning mathematics mathp mathplotlib measurements numpy pandas puthon3 seaborn statisctics
Last synced: 12 Apr 2025
https://github.com/islamshahil/machinelearning
A Fun Project - Using LinearRegression, Predicting the Value.
hacktoberfest linearregression machine-learning numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/aneeshmurali-n/ml_bangalore_house_price_analysis
This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.
box-plot correlation data-distribution data-transformation exploratory-data-analysis heatmap histplot iqr-method log-transformation matplotlib numpy outlier-detection outlier-handling pandas percentile-method python scatter-plot scipy seaborn z-score-method
Last synced: 06 Jan 2026
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
Last synced: 09 Apr 2026
https://github.com/vidyasagarmsc/pydataflownote
As I explore Python libraries....
jupyter-notebook numpy python pytorch scikit-learn scipy tensorflow
Last synced: 27 Sep 2025
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
Last synced: 03 May 2026
https://github.com/ZauJulio/FeaturesAnalyzer
Python data analyze and machine learning tool
gtk machine-learning numpy pandas python sklearn
Last synced: 10 Aug 2025
https://github.com/rabbicse/face-app
A Face recognition system using TensorFlow.js for in-browser image processing and backend services powered by PyTorch, Qdrant, RetinaFace, ArcFace, and OpenCV for detection, embedding, and similarity matching. This setup ensures efficient, secure, and accurate facial recognition.
arcface deep-neural-networks docker docker-compose face-detection face-recognition machine-learning nextjs numpy opencv python pytorch react retinaface tensorflowjs typescript typescript-react
Last synced: 10 Apr 2026
https://github.com/inoles/resumeinsight
AI-powered resume screening tool
numpy pandas pandas-python pdfminersix python resume resume-screening spacy spacy-nlp
Last synced: 05 May 2026
https://github.com/idow09/ud810-problem-sets
Solutions to the problem sets of Introduction to Computer Vision course at Udacity
computer-vision numpy opencv opencv-python problem-sets python solutions udacity
Last synced: 09 May 2026
https://github.com/akashash01/logistic-regresion
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
auc-roc-curve classification confusion-matrix data-science kolmogorov-smirnov machine-learning nonlinear-regression numpy pandas python supervised-learning vif woe-and-iv
Last synced: 08 May 2026
https://github.com/trishaamandal/instareach
final-year-project github machine-learning model numpy prediction project
Last synced: 08 May 2026
https://github.com/katerynazakharova/olive-separation
CV
cv2 image-classification numpy opencv python3
Last synced: 09 May 2026
https://github.com/khaledkamr/mastring-python
This repository covers essential Python programming topics, including basics, OOP, file handling, and database operations. It also contains mini-projects to help solidify your understanding through practical application.
database filehandling functions if-elif-else introduction-to-python list-methods loops numpy oops-in-python python recursion set-methods sqlite3 string-methods tuple-methods
Last synced: 08 May 2026
https://github.com/laavanjan/lstm-rnn-next-word-prediction
An advanced LSTM RNN-based deep learning model designed for next-word prediction. This model processes sequential text data using deep learning techniques to generate accurate and context-aware word predictions in real-time
jupyter-notebook numpy pandas-dataframe rnn rnn-tensorflow streamlit-webapp tensorflow
Last synced: 09 May 2026
https://github.com/alexcoder04/image-edit
A Python GUI for basic image editing, school project
fun gui image-editing image-processing numpy pil pyqt pyqt5 python python3 qt sideproject
Last synced: 09 May 2026
https://github.com/arshitarora/image-overlaying-prespective
Perform perspective warping and image fusion in Python using OpenCV and NumPy. Select four points on the base image to define the region where the subject image will be warped and fused. The script creates a fused image and saves it as Final_Output.png. 🖼️🌌🔮
image numpy opencv python swap
Last synced: 09 May 2026
https://github.com/michaelfeil/lstm-dlnn2020
Character-LSTM implementation in Numpy
lstm nlp-machine-learning numpy
Last synced: 14 May 2026
https://github.com/molodchina/msu-ml-prac
MSU-CMC-SP Machine Learning practicum
clustering decision-trees encodings ensemble gradient-boosting knn machine-learning matplotlib numpy pandas plotly seaborn svm
Last synced: 10 May 2026
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
Last synced: 10 May 2026
https://github.com/anishshinde01/machine-learning-exercises
Python implementations of machine learning, statistics, and mathematical foundations.
linear-algebra machine-learning machine-learning-algorithms matplotlib numerical-analysis numpy python scikit-learn scipy statistics
Last synced: 11 Jun 2026
https://github.com/varshneydevansh/machinelearning-101
This repository is about various Algorithm's and Implementations in ML
artificial-intelligence artificial-neural-networks computer-science computer-vision deep-learning machine-intelligence machine-learning machine-learning-algorithms machinelearning neural-network numpy numpy-tutorial python tensorflow tensorflow-tutorials tutorial tutorial-exercises
Last synced: 08 May 2026
https://github.com/khaymanii/medical_insurance_cost_prediction-_model
This Model was built using Python and Linear Regression algorithm
matplotlib numpy pandas python sckit-learn seaborn
Last synced: 09 May 2026
https://github.com/framebuffers/mindhunter
Wrappers for Pandas DataFrames to add quicker access for common statistical values, utilities and functionality.
data-analysis data-science numpy pandas python utilities-python
Last synced: 08 May 2026
https://github.com/andrii-zapukhlyi/image_classifier_from_scratch
Image classifier from scratch using NumPy + CNN + Transfer Learning
cnn deep-learning image-classification machine-learning neural-networks numpy transfer-learning
Last synced: 16 Jun 2026
https://github.com/arjunravi26/image-editor
A dajngo based image manipulation webiste
django jsonresponse numpy opencv pillow
Last synced: 17 Jun 2026
https://github.com/neetigyab/pdfreader
Ready to use Python application/file for parsing a specific format of pdf form, and storing relevant user data in a tabular format in excel sheet
excel forms matplotlib numpy ocr opencv-python pandas pdf pdf-converter pdfplumber pytesseract python
Last synced: 08 May 2026
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
Last synced: 10 May 2026
https://github.com/duoan/machine-learning-notebook
A notebook repository for tracking learning machine learning notebook.
data-analysis decision-tree ensemble-model gbdt machine-learning numpy pandas xgboost
Last synced: 18 Jun 2026
https://github.com/duoan/dl-bike-sharing-demand
ractice neural network implemented just with numpy for Kaggle Bike Sharing Demand
bike-sharing bike-sharing-demand deep-learning kaggle neural-network numpy udacity-deep-learning
Last synced: 18 Jun 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/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.
covid19 dataanalysis datavisualization happiness-report jupyternotebook numpy pandas python
Last synced: 08 May 2026
