Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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: 2025-01-16 00:21:26 UTC
- JSON Representation
https://github.com/jai0212/gpt-rnn-poetry-generator
A generative pre-trained transformer (GPT) using a recurrent neural network (RNN) to generate poetry with customizable length and creativity index.
ai csv-files gpt machine-learning neural-networks nlp-machine-learning numpy pandas-library poetry-generator rnn-tensorflow training-dataset
Last synced: 18 Nov 2024
https://github.com/ankushmallick1100/numpy-and-pandas-module
Here all common functions of Numpy and Pandas Module is present.
json matplotlib matplotlib-pyplot numpy pandas python python-3 python3 pythonmodules
Last synced: 18 Nov 2024
https://github.com/ankushmallick1100/diabetes-prediction-using-maching-learning
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: 18 Nov 2024
https://github.com/ankushmallick1100/task-2-the-sparks-foundation-data-science-and-business-analytics-internship
Task 02: Clustering using Unsupervised Machine Learning
clustering data-science internship internship-task jupyter k-means k-means-clustering machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 sklearn thesparksfoundation thesparksfoundationinternship tsf unsupervised-learning unsupervised-machine-learning
Last synced: 18 Nov 2024
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: 18 Nov 2024
https://github.com/faisalahmedbijoy/data-science-in-python
Fundamentals of Data Science in Python
data-science machine-learning matplotlib numpy pandas
Last synced: 18 Nov 2024
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: 18 Nov 2024
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: 18 Nov 2024
https://github.com/ax-va/numpy-pandas-matplotlib-scikit-learn-vanderplas-2023
These examples provide an introduction to Data Science and classic Machine Learning using NumPy, Pandas, Matplotlib, and scikit-learn. They are taken, with some changes, from the book "Python Data Science Handbook: Essential Tools for Working with Data", Second Edition, written by Jake VanderPlas and published by O'Reilly Media in 2023.
ax-va classic-machine-learning data-science machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 18 Nov 2024
https://github.com/statute8234/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: 18 Nov 2024
https://github.com/statute8234/python-finance
Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.
datetime matplotlib numpy pandas random sklearn yfinance
Last synced: 18 Nov 2024
https://github.com/statute8234/circuitpythonprojects
Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.
matplotlib numpy os pyspice sys
Last synced: 18 Nov 2024
https://github.com/statute8234/pygamecicruit
Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.
matplotlib numpy os pygame pyspice random sys
Last synced: 18 Nov 2024
https://github.com/martincastroalvarez/python-recommender-systems
Recommender systems with numpy.
clustering condorcet-voting numpy recommender-system
Last synced: 22 Dec 2024
https://github.com/martincastroalvarez/python-deep-learning-algorithms
Combinatorics implemented with numpy, matplotlib and scipy.
algebra combinatorics matplotlib numpy python scipy
Last synced: 22 Dec 2024
https://github.com/quantum-software-development/limits-calculus-i
✍️ Math Calculus I - Limits and Derivatives Exercises - AI Data Science - PUCSP University
calculus derivative django latex-code leonardo-ai limits mathpix maths numpy overleaf python3 rest-api
Last synced: 20 Nov 2024
https://github.com/kleinyuan/numpy-ml
Implementations of machine learning concepts in modules with basic numpy
Last synced: 25 Nov 2024
https://github.com/tritonix711/digitvision-number-predictor
"DigitVision: Number Predictor" is a deep learning project that uses a Convolutional Neural Network (CNN) to classify handwritten digits (0-9) from images. Built with Python and TensorFlow, it supports dataset preprocessing, model training, evaluation, and predictions, offering a scalable and accurate solution for digit recognition tasks.
cnn keras matplotlib numpy os pillow plt python tensorflow tkinter
Last synced: 17 Jan 2025
https://github.com/jparedesds/email-mapi-automation
Automation of documentation entry through email(Outlook/IMAP) to excel and BBDD (ERP)
beautifulsoup4 imap-client numpy outlook pandas regex shutil timestamp xlsxwriter
Last synced: 21 Nov 2024
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
Last synced: 25 Nov 2024
https://github.com/affromero/pixelcache
A versatile image processing library for Python with built-in support for caching, using Pillow, NumPy, and PyTorch.
image-processing numpy opencv pillow pytorch torchvision
Last synced: 07 Dec 2024
https://github.com/arif-miad/email-spam-classification-project
keras machine-learning nlp nltk numpy pandas-dataframe svm-classifier
Last synced: 17 Jan 2025
https://github.com/jdavydovportfolio/careerpredictor
A project leveraging AI and Machine Learning (Logistic Regression) to predict graduate job placements. Includes data preprocessing, exploratory analysis, and predictive modeling.
artificial-intelligence exploratory-data-analysis jupyter-notebook linear-regression logistic-regression machine-learning machine-learning-algorithms machine-learning-models matplotlib ml numpy pandas pandas-dataframe predictive-modeling programming python scikit-learn
Last synced: 07 Dec 2024
https://github.com/steventete/integral-app
IntegralApp is a Python-based GUI application designed to simplify the calculation of definite integrals using numerical methods.
desktop-app numerical-methods numpy pyqt5 python
Last synced: 07 Dec 2024
https://github.com/simran2911/flight-price-pridiction
This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.
accuracy-score catboostregressor machine-learning matplotlib numpy pandas r2-score random-forest-regression seaborn xgboost-regression
Last synced: 09 Jan 2025
https://github.com/m-rishab/credbet
A loan prediction web app which tells You that you are eligible for loan or not!
decision-tree-classifier matplotlib numpy pandas python scikit-learn
Last synced: 21 Nov 2024
https://github.com/m-rishab/housing-price-prediction
The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.
gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn
Last synced: 21 Nov 2024
https://github.com/nemeslaszlo/titanic-logistic-regression
This notebook covers a simple analysis with logistic regression on the popular titanic dataset.
cufflinks jupyter-notebook logistic-regression matplotlib numpy pandas plotly seaborn sklearn
Last synced: 01 Dec 2024
https://github.com/nemeslaszlo/sale-price-of-bulldozers
The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)
matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn
Last synced: 01 Dec 2024
https://github.com/nemeslaszlo/loan-data-decision-tree-and-random-forest
This repository covers a "Lending Club" analysis with decision tree and random forest with data visualizations and exploration.
decesion-trees matplotlib numpy pandas random-forest seaborn sklearn
Last synced: 01 Dec 2024
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: 01 Dec 2024
https://github.com/nemeslaszlo/heart-disease
Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.
classification knearest-neighbor-classifier logistic-regression mathplotlib numpy pandas randomforest-classification scikit-learn seaborn
Last synced: 01 Dec 2024
https://github.com/nemeslaszlo/financial-crisis-effects-on-some-stocks
Focusing on bank stocks to see how they progressed throughout the 2008-09 financial crisis all the way to early 2016.
cufflinks jupyter-notebook matplotlib numpy pandas pandas-datareader plotly seaborn
Last synced: 01 Dec 2024
https://github.com/nemeslaszlo/dog_breed_identification
Dog breed identification model to identify and label 120 different dog breeds.
matplotlib numpy pandas tensorflow tensorflow-hub
Last synced: 01 Dec 2024
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: 01 Dec 2024
https://github.com/shaadclt/data-preprocessing-pipeline
This project contains a data preprocessing pipeline implemented in Python using the pandas and numpy libraries. The pipeline handles missing values, outliers, and normalizes numeric features in a dataset.
Last synced: 07 Dec 2024
https://github.com/robocorp/example-x-ray-image-processing
X-ray Image Viewer (NumPy, imageio, Matplotlib, SciPy)
data-science numpy python robotframework xray-images
Last synced: 09 Jan 2025
https://github.com/fdujiag/financial-analysis
Python for Financial Analysis and Risk Management
financial-analysis futures matplotlib numpy options pandas python3 risk-management scipy stocks
Last synced: 25 Nov 2024
https://github.com/spamfromaditya/drugs-consumption-prediction-model-eda-bagging-classifier
Drug consumption prediction models are like crystal balls for public health. By analyzing vast amounts of data, these models can identify individuals or communities at higher risk of drug use. They consider factors like demographics, social media activity, prescription history, and even economic indicators.
bagging-classifier machine-learning matplotlib numpy python scikit-learn
Last synced: 31 Dec 2024
https://github.com/dudynets/numerical-methods-labs-tkinter
Labs for Numerical Methods course at Ivan Franko Lviv National University.
interpolation labs linear-algebra matplotlib numerical-methods numpy python tkinter university
Last synced: 21 Nov 2024
https://github.com/dudynets/numerical-methods-labs
Labs for Numerical Methods course at Ivan Franko Lviv National University.
angular docker fastapi interpolation labs linear-algebra material-ui matplotlib ngxs numpy python typescript university
Last synced: 21 Nov 2024
https://github.com/tawabshakeel/neural-networks-using-keras
Different Neural Networks using keras
deep-learning keras machine-learning neural-networks numpy pandas python sklearn
Last synced: 21 Nov 2024
https://github.com/nishanthmuruganantham/duckworth-lewis-score-calculator
The Duckworth-Lewis-Stern (DLS) Method Par Score Calculator is a Django website designed to calculate the revised target score for cricket matches affected by rain or interruptions. The DLS Method is a mathematical formula used to adjust the target score based on the number of overs played, wickets lost, and available resources.
cricket cricket-score django django-project dls-method dls-score-calculator duckworth-lewis duckworth-lewis-score-calculator duckworth-lewis-stern ipl numpy numpy-interpolation python python-project vercel-deployment website
Last synced: 25 Nov 2024
https://github.com/gourab-sinha/machine_learning
This repository consists of Machine Learning Concepts and Projects.
classification machine-learning neural-network numpy pandas sklearn-library
Last synced: 25 Nov 2024
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: 25 Nov 2024
https://github.com/abhilash1910/deepgenerator
Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy
adagrad generativemodeling nlp numpy optimizer rnn seq2seq-model transduction vanilla-rnn
Last synced: 21 Nov 2024
https://github.com/juanpablo70/pgad-exam
Midterm Exam Titanic data set
data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python seaburn
Last synced: 21 Nov 2024
https://github.com/juanpablo70/pgad-nba-prediction-project
Programming for Data Analysis from Open Data Sources
data-science jupyter-notebook matplotlib mysql numpy pandas pymysql python scipy seaburn sqlalchemy
Last synced: 21 Nov 2024
https://github.com/cosama/vasapy
Vectorized Associative Arrays for Python
associative-array associative-map dictionary numpy python vectorized
Last synced: 21 Nov 2024
https://github.com/praju-1/machine_learning
Exploring Machine learning with its supervised and unsupervised algorithm and subtypes also.. All algorithm implemented in python With proper description of each Dataset used.
machine-learning machine-learning-algorithms matplotlib numpy pandas-library python sklearn-library statistics
Last synced: 15 Dec 2024
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: 01 Dec 2024
https://github.com/thaikoz/data-science
This repository contains various data science projects and exercises implemented in Python using Jupyter Notebooks. It is intended for educational purposes and to document my learning journey in data science.
Last synced: 22 Nov 2024
https://github.com/gitaditee/extended-kalman-filter-algorithms
Kalman filter is an algo for estimating the state of a system for position and the speed of a car using past observation and current un- noising measurement of the system.
Last synced: 22 Nov 2024
https://github.com/rudrakshi99/movie-recommendation-system
Movie recommendation system using machine learning and predict user ratings for the movies.
dataframes machine-learning matplotlib numpy pandas seaborn
Last synced: 22 Nov 2024
https://github.com/akashshnkr/multi-disease-prediction
Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.
logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm
Last synced: 22 Nov 2024
https://github.com/sumitgirwal/super-market-research
This is simple research on supermarket.its must you know how your organization or corporation growth is increasing or decreasing.
dataanalysis matplotlib numpy pandas python3 supermarket-dataset
Last synced: 25 Nov 2024
https://github.com/sumitgirwal/drinks-dataset-data-analysis
A drinks dataset from Kaggle. Applying analysis using Python, NumPy, Pandas, Matplotlib.
dataanalysis drinks-dataset kaggle matplotlib numpy pandas python3
Last synced: 25 Nov 2024
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: 25 Nov 2024
https://github.com/raduldev/gromacs
Molecular Dynamics Simulation using GROMACS in Jupyter notebook
bash gromacs matplotlib molecular-dynamics-simulation numpy pandas python3 shell
Last synced: 01 Dec 2024
https://github.com/maciekmalachowski/crypto-charts-site
📊Application which return financial data for selected cryptocurrency.
binance-api data-analysis jupyter-notebook matplotlib mplfinance numpy pandas python python-binance
Last synced: 15 Dec 2024
https://github.com/rasbeetech/loan-calculator
Tkinter framework application
matplotlib numpy python tkinter
Last synced: 25 Nov 2024
https://github.com/mousazourob/stockdataresampler
Python script that resamples an instruments minute by minute candle stick data to any interval
alpha-vantage-api numpy pandas python
Last synced: 22 Dec 2024
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: 09 Jan 2025
https://github.com/luizcalaca/deep-learning
Códigos de Machine e Deep Learning
azure colab-notebook colaboratory convolutional-neural-networks deep-learning hog-features-extraction knn-classification neural-network notebooks numpy perceptron python rnn sklearn tensorflow
Last synced: 25 Nov 2024
https://github.com/juselara1/bregclus
Python implementation of Bregman Hard Clustering and Bregman Soft Clustering as a scikit-learn module.
bregman-divergence clustering numpy scikit-learn unsupervised-learning
Last synced: 31 Dec 2024
https://github.com/uea-geral/rna-perceptron-exercise
🤖Disciplina de RNA: treinamento de um neurônio Perceptron.
jupyter-notebook neural-network numpy perceptron python scikit-learn
Last synced: 26 Nov 2024
https://github.com/xushiyan/udacity-machine-learning
Content for Udacity's Machine Learning curriculum
jupyter-notebook machine-learning numpy pandas python reinforcement-learning scikit-learn supervised-learning udacity-machine-learning unsupervised-learning
Last synced: 26 Nov 2024
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: 15 Dec 2024
https://github.com/gallo13/neuralnetworks-deeplearning-stats-classification
Descriptive Statistics, Classification and Analysis Using Python & Python Libraries (Assignment 1)
analysis data datasets deep-learning jupyter-notebook matplotlib neural-networks numpy pandas plotting python seaborn
Last synced: 26 Nov 2024
https://github.com/gallo13/neuralnetworks-deeplearning-image-classification-with-cnn
Explore the implementation of CNN with a color image dataset (Project 1)
cnn convolutional-neural-networks gpu-tensorflow jupyter-notebook keras keras-tensorflow numpy python scikit-learn seaborn tensorflow tensorflow2
Last synced: 26 Nov 2024
https://github.com/islamshahil/machinelearning
A Fun Project - Using LinearRegression, Predicting the Value.
hacktoberfest linearregression machine-learning numpy pandas python sklearn
Last synced: 26 Nov 2024
https://github.com/palak-463/tablataalrecognitionsystem
Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️
cnn deep-learning flask fnn librosa numpy os pickle python scikit-learn
Last synced: 09 Jan 2025
https://github.com/deusares/drawerfunctions
A collection of PIL, Numpy and OpenCV functions to manipulate images
generative graphic image-processing numpy opencv pil pillow python
Last synced: 17 Dec 2024
https://github.com/vidhi1290/text-classification-model-with-attention-mechanism-nlp
This Python project utilizes PyTorch to perform text classification with an attention mechanism. Pre-trained GloVe embeddings are processed for word representation, and a custom attention model is trained on consumer complaint data to categorize complaints into product categories.🎯
attention-mechanism deeplearning machine-learning nlp nltk numpy pandas python pytorch scikit-learn text-classification tqdm
Last synced: 08 Dec 2024
https://github.com/vidhi1290/zomato-data-analysis
Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!
data-analysis data-analysis-python data-science data-visualization dataprocessing machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn zomato-data-analysis
Last synced: 08 Dec 2024
https://github.com/italoseara/cet083
Medidas de Posição (ou separatrizes) - CET083
data-science matplotlib numpy pandas portuguese python statistics university
Last synced: 02 Dec 2024
https://github.com/prabhupavitra/numpy-guide-for-data-science
A Hands-On NumPy Tutorial for Data Scientists
aggregations data-science fancyindexing jupyter-notebook numpy numpy-tutorial python python3 sorting vectorized-computation
Last synced: 27 Nov 2024
https://github.com/besrym/words-embedding-visualization
a simple python script to train and visualize a WordsEmbedding
embedding matplotlib nlp numpy python seaborn sklearn torch tsne-visualization
Last synced: 15 Dec 2024
https://github.com/linggarm/smart-caloriemax
A web app that utilizes Genetic Algorithms to generate a list of foods offering maximum calorie content within a specified budget.
artificial-intelligence css evolutionary-algorithms flask genetic-algorithms html javascript knapsack-problem machine-learning numpy python
Last synced: 09 Jan 2025
https://github.com/linggarm/dog-vs-cat-classification-with-transfer-learning-using-vgg16
Implementation of binary classification with Dog and Cat images using VGG16 architecture and Transfer Learning techniques
artificial-intelligence binary-classification catvsdog colab-notebook computer-vision dogvscat fine-tuning imagenet machine-learning numpy pandas python scikit-learn supervised-learning tensorflow transfer-learning vgg16
Last synced: 09 Jan 2025
https://github.com/alvinmurimi/jumia
Data analysis on smartphones listed on jumia.co.ke
beautifulsoup4 jumia matplotlib numpy pandas scraping seaborn
Last synced: 28 Nov 2024
https://github.com/lupin3000/rplidar
Slamtec RPLidar A1M8 Python3 examples
lidar matplotlib numpy python3 rplidar rplidar-a1 rplidar-a1m8 rplidar-roboticia
Last synced: 28 Nov 2024
https://github.com/arnoldchrisoduor1/machinelearning-and-neuralnetworks
Starting out in Machine Learning.
numpy pandas python scikit-learn scipy sql tensorflow2
Last synced: 28 Nov 2024
https://github.com/hrishixd/weather-data-analysis
This project involves analyzing weather data using Python to uncover patterns and trends in temperature, precipitation, and other meteorological parameters. The analysis showcases the use of Python libraries for data cleaning, manipulation, and visualization.
Last synced: 28 Nov 2024
https://github.com/pavankethavath/dominos---predictive-purchase-order-system
This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurate demand forecasts, optimized inventory, and efficient purchase planning, reducing waste, preventing stockouts, and enhancing supply chain efficiency.
arima deep-learning eda exploratory-data-analysis forecasting lstm machine-learning mape matplotlib minmaxscaling numpy pandas prediction python sarimax seaborn seasonality tensorflow time-series
Last synced: 28 Nov 2024
https://github.com/hamdaniqhmqd/test-deploy-streamlit
dateset machine-learning matplotlib numpy pandas python sklearn-library stremlit
Last synced: 28 Nov 2024
https://github.com/gg7991/data-analysis-with-python-certification-freecodecamp
Challenges for DA with Python Certification on FreeCodeCamp
matplotlib matplotlib-pyplot numpy pandas
Last synced: 28 Nov 2024
https://github.com/imd10/math329-algebraic-method
A Python project for the MATH329 Operations Research course, designed to solve Linear Programming Problems (LPP) using the algebraic method with both CLI and GUI interfaces.
algebraic-method cli gui linear-programming-problem lpp numpy python search-operation
Last synced: 28 Nov 2024
https://github.com/satyanaryana-merla/financial-analysis-in-loan-analytics
sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,
amortization amortization-schedule bank numpy pandas python
Last synced: 28 Nov 2024
https://github.com/chanlumerico/lucid
Lumerico's Comprehensive Interface for Deep Learning
autograd deep-learning from-scratch numpy
Last synced: 28 Nov 2024
https://github.com/biantris/graph-python
Graph sin vs cos using matplotlib and numpy
matplotlib numpy python python3
Last synced: 28 Nov 2024
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: 28 Nov 2024