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: 2024-11-15 00:20:36 UTC
- JSON Representation
https://github.com/kostasereksonas/ids_test
Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.
ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow
Last synced: 16 Nov 2024
https://github.com/jbayardo/aa-tp1
Machine learning on spam
email-classifier jupyter-notebook numpy pandas python scikit-learn spam-filtering text-processing
Last synced: 17 Oct 2024
https://github.com/mahboobehad/ocausal
Outlier Causal Relationship Detecotor
causality-analysis datamining networkx notebook numpy outlier-detection python
Last synced: 07 Nov 2024
https://github.com/ksalekk/ecg-monitor
ecg matplotlib numpy python scipy signal-processing
Last synced: 14 Oct 2024
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: 07 Nov 2024
https://github.com/quinta0/pycolors
A python program to help people with color blindness recognize color in an image
colorblindness colors image-processing numpy pandas-dataframe python tkinter-gui
Last synced: 10 Nov 2024
https://github.com/narenkhatwani/arkouda-projects
This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)
arkouda data-analysis data-analytics data-science high-performance high-performance-computing highperformancecomputing numpy pandas parallel-computing parallel-processing parallelization python
Last synced: 24 Oct 2024
https://github.com/narenkhatwani/streamlit-deployment-heroku
How to deploy a Streamlit web app on Heroku? You will find most of the steps here that can be used to deploy the web app
deployment heroku heroku-apps heroku-deployment herokuapp matplotlib matplotlib-pyplot numpy pandas pandas-python plotly plotly-python streamlit streamlit-deployment streamlit-webapp
Last synced: 24 Oct 2024
https://github.com/nirmalnishant645/attendance-system
Automated Attendance System using Facial Recognition in Python
attendance-system cv cv2 face-recognition facial-recognition haar-cascade haar-cascade-classifier machine-learning numpy opencv opencv-python pandas python python-3 python3 sql sqlite sqlite3 tkinter tkinter-gui
Last synced: 09 Nov 2024
https://github.com/anfany/python3-practice
基于Python3的多种工具实例代码、以及流行库的使用贴士
matplotlib numpy pandas python3 tensorflow tips
Last synced: 06 Nov 2024
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: 06 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: 12 Oct 2024
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: 06 Nov 2024
https://github.com/rakibhhridoy/easywaydiveinto-datascience
Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.
algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow
Last synced: 06 Nov 2024
https://github.com/pfischer1687/ms-thesis
Computational Physics MS Thesis
ipython jupyter-notebook latex markov-chain matplotlib metropolis-hastings monte-carlo numpy pandas pdftex physics python scipy sympy
Last synced: 12 Oct 2024
https://github.com/abhinavsharma07/neural-network-using_numpy
Introduction to Neural Networks (Create a neural network using Numpy)
accuracy feed-forward model neural-networks numpy prediction
Last synced: 31 Oct 2024
https://github.com/skywalkersam/machine-learning-and-data-science-bootcamp
Getting started with AI & ML!
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
Last synced: 10 Nov 2024
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: 31 Oct 2024
https://github.com/ksharma67/ibm-stock-predication-wiith-eda
In this i tried to design a model that can predict the price of stock using different methods and algorithms.
bullish-signal death-cross decision-tree eda golden-cross gradient-boosting knn machine-learning-algorithms matplotlib numpy pandas prediction python random-forest scalar seaborn skit-learn svm xgboost
Last synced: 06 Nov 2024
https://github.com/cchandre/quasiperiodic_frenkel-kontorova
Analyticity breakdown for Frenkel-Kontorova Models in quasiperiodic media
dynamical-systems frenkel-kontorova hamiltonian numpy python3 scipy
Last synced: 10 Nov 2024
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: 06 Nov 2024
https://github.com/mattmoony/ann_mnist
Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️
adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh
Last synced: 12 Oct 2024
https://github.com/anuraganalog/deep-learning-specialization
Coursera's Deep Learming Specialization Lecture notes
algorithms convolutional coursera deep hyperparameters learning lecture models networks neural notes numpy optimization python3 sequence specialization tuning
Last synced: 12 Oct 2024
https://github.com/aidatorajiro/takasa
OpenStreetMap 高低差を考えた最短（？）経路問題ソルバー
numpy openstreetmap scipy shortest-path
Last synced: 07 Nov 2024
https://github.com/savitar-hub/image-classification
Notebooks on how image classification can help businesses make better decisions and improve the customer experience.
image-classification image-processing jupyter-notebook numpy opencv pandas pytorch tensorflow
Last synced: 06 Nov 2024
https://github.com/zazi2002/neuroscience-project-olfactory-signal
This project is part of the Neuroscience of Learning, Memory, Cognition course. The main objective is to analyze Local Field Potential (LFP) signals recorded from three different brain regions of an anesthetized rat while it performed an olfactory task.
frequency-analysis lfp-analysis matplotlib numpy scipy signal-processing
Last synced: 07 Nov 2024
https://github.com/darshan12345678910/air-quality-prediction-ml-algorithms
AirPredict AQI prediction using classification algorithm
classification-algorithims gradio-interface numpy pandas
Last synced: 12 Nov 2024
https://github.com/zazi2002/neuroscience-project-cnn
This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.
cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing
Last synced: 07 Nov 2024
https://github.com/culeshovi/cs229
Machine Learning
machine-learning machine-learning-algorithms machine-learning-practice matplotlib numpy python3
Last synced: 12 Oct 2024
https://github.com/a3ro-dev/weather-prediction-application
a weather prediction application built using Streamlit. The application predicts future temperatures and weather types based on past trends. It provides a sleek and intuitive user interface for input and displays the predictions dynamically.
charts mathematics matplotlib numpy plotting python python3 streamlit weather weather-app weather-forecast weatherprediction webapp
Last synced: 31 Oct 2024
https://github.com/erickarpovits/carbon-metrics-model
Investigation Of Covid’s Impact On Carbon Emission Rates In the United States
deep-learning numpy pandas python
Last synced: 07 Nov 2024
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: 31 Oct 2024
https://github.com/shreeparab1890/fifa-wc-2022-qatar-data-analysis-eda
This is a Jupyter Notebook( iPython Notebook) with Data Analysis (EDA) on FIFA WC Qatar 2022 match data.
data-analysis data-analysis-python data-science data-visualization eda fifa matplotlib-pyplot numpy pandas plotly-express python-3
Last synced: 08 Nov 2024
https://github.com/hemilkaklotar/num-plot
Python Libraries Tutorials for Numpy and Matplotlib
matplotlib numpy patterns python
Last synced: 05 Nov 2024
https://github.com/zazi2002/neuroscience-project-lfp-signalanalysis
This project is part of the Neuroscience of Learning, Memory, Cognition course. The goal of this assignment is to introduce students to Local Field Potential (LFP) signals, which are critical for understanding brain activity at a local neuronal level.
jupiter-notebook lfp-analysis matplotlib numpy signal-processing
Last synced: 07 Nov 2024
https://github.com/antoniotejada/imageviewer
Simple but featured image viewer, designed for speed when browsing network drives and on low power computers like Raspberry Pi 2
image-processing image-processing-python image-viewer image-viewing imageviewer irfanview linux linux-app lxde numpy pyqt pyqt5 python python2 python27 qt qt5 raspberry-pi raspbian windows
Last synced: 12 Oct 2024
https://github.com/nirmalyabag20/breast-cancer-prediction-using-machine-learning
This project leverages machine learning to classify breast cancer as malignant or benign based on tumor characteristics. By applying and evaluating multiple algorithms, the model achieves high accuracy, demonstrating the practical application of data-driven solutions in medical diagnostics.
logistic-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/miroslav-reiter/kurz_ako_sa_stat_datovym_analytikom_python
🐍 Ako sa stať Dátovým ANALYTIKom v Pythone - Materiály, zdroje, skripty k večernému online školeniu Ako sa stať Dátovým Analytikom v Pythone pre Robime.it (Mentor Partners)
analysts analytics data-science math matplotlib numpy pandas python reiter scipy vizualisation
Last synced: 05 Nov 2024
https://github.com/raihan4520/cvpr
Jupyter Notebook projects in Python coded during my Computer Vision and Pattern Recognition course at AIUB, focusing on core computer vision techniques.
computer-vision convolutional-neural-network emotion-detection face-mask-detection jupiter-notebook keras matplotlib numpy opencv pandas python tensorflow
Last synced: 14 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: 05 Nov 2024
https://github.com/andrehaguiar/pos-graduacao-inteligecia_artificial-ciencia_de_dados
Cronograma do curso
ciencia-de-dados dados matplotlib-pyplot numpy orange pandas python scipy sklearn
Last synced: 07 Nov 2024
https://github.com/rajaprerak/resumesectionclassifier
Generate sections from resume
machine-learning numpy pandas python sklearn
Last synced: 06 Nov 2024
https://github.com/607011/1dollar
Simulation of a counterintuitive distribution problem
animation go golang matplotlib numpy plot python3 simulation statistics
Last synced: 07 Nov 2024
https://github.com/rosacarla/projetodio_covid19
Projeto desenvolve modelos com Python e Machine Learning para prever a evolução do COVID-19 no Brasil
etl machine-learning numpy pandas python
Last synced: 10 Nov 2024
https://github.com/biantris/graph-python
Graph sin vs cos using matplotlib and numpy
matplotlib numpy python python3
Last synced: 14 Oct 2024
https://github.com/olutosinbanjo/direction_field
Plotting a Direction Field with Python (Intel® DevMesh Project)
cloud devcloud dpctl dppy heterogeneous-computing high-performance-computing intel intel-xpu numba numpy python3
Last synced: 05 Nov 2024
https://github.com/matipl01/metody-obliczeniowe-w-nauce-i-technice
agh jupyter-notebook matplotlib mownit numpy pandas python seaborn
Last synced: 13 Oct 2024
https://github.com/zaujulio/featuresanalyzergtk
Python data analyze and machine learning tool
gtk machine-learning numpy pandas python sklearn
Last synced: 24 Oct 2024
https://github.com/Vice777/SAFE-HEART
Classify the chances of having a Heart Attack based on your Heart's Condition.
kaggle machine-learning matplotlib mlfromscratch mlp-classifier multilayer-perceptron-network numpy pandas pickle streamlit streamlit-webapp
Last synced: 23 Oct 2024
https://github.com/sun-data/named-arrays
Python library that implements named tensors with Astropy Quantity support.
astropy named-arrays named-tensor numpy python scientific-computing
Last synced: 11 Oct 2024
https://github.com/swaathi/cpt-recommendation
Collaborative Filtering using User-Item and Item-Item Models
collaborative-filtering numpy recommendation-system scikit-learn
Last synced: 30 Oct 2024
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: 08 Nov 2024
https://github.com/bestmahdi2/uni__dataminningstackoverflowproject
A university project related to data mining lesson on StackOverflow website data with Python language
cart csv data-mining logistic-regression matplotlib mlp naive-bayes nltk numpy pandas python scikit-learn scipy seaborn stackoverflow svc textblob tqdm xgboost
Last synced: 14 Oct 2024
https://github.com/borisshapa/inception-v3-numpy
Implementation of the popular network Inception v3 on Numpy. Implementation of the AdaSmooth optimizer. Comparison of optimizers on Cars dataset.
Last synced: 30 Oct 2024
https://github.com/cypher-adi/loan-predictor
A loan approval prediction system.
flask ipynb-jupyter-notebook machine-learning numpy
Last synced: 13 Nov 2024
https://github.com/ngirimana/ml_knn
Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.
artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon
Last synced: 08 Nov 2024
https://github.com/ngirimana/data-analyis-project
data-science matplotlib numpy pandas python seaborn
Last synced: 08 Nov 2024
https://github.com/fearless-spider/stooq-dax-seasonal
Parsing seasonality from time series data can often be useful in data analytics. It helps with analyzing seasonality for decision making as well as for more accurate forecasts. Python can be used to separate out these trend and seasonal components.
numpy pandas python statistics
Last synced: 24 Oct 2024
https://github.com/zensam7/easy_my_ai
Библиотека для создания ИИ, написана ПОЛНОСТЬЮ с нуля
genetic-algorithm library machine-learning neural-networks numpy q-learning
Last synced: 31 Oct 2024
https://github.com/sjtechdev/fastgrouper
Fast groupby-apply operations in python.
computational groupby groupby-apply groupby-function groupby-method groupby-transformation groupbykey grouping grouping-operations numpy pandas python python3
Last synced: 31 Oct 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: 13 Oct 2024
https://github.com/realamirhe/leaf-node
A leaf node for your machine learning journey, from scratch to practical applications...
algorithm auto-encoder classification cybernetics feature-extraction feedback-mechanism lda learning machine-learning machine-learning-journey numpy pca practice regression scikit-learn sklearn smlfdl
Last synced: 03 Nov 2024
https://github.com/farid-karimi/digit-recognizer
Digit Recognizer Neural Network
digit-recognizer matplotlib mnist neural-network numpy pandas
Last synced: 12 Oct 2024
https://github.com/aniketmondal/da_youtube_popular_videos
Analysis of current most popular YouTube videos. Contains real-life data collection using API, storing data in Cloud database, analysis of various data types in Pandas, and creating visualizations using Seaborn, Matplotlib.
cloud-database compute-engine data-cleaning data-science data-wrangling datetime-library google-cloud-platform ipython-notebook matplotlib numpy pandas pgadmin4 postgresql psycopg2 python python-dotenv seaborn virtual-machine youtube-api-v3
Last synced: 13 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: 13 Oct 2024
https://github.com/apostolissiampanis/image-analysis
Content based image retrieval roughly based on the paper "Multimedia Retrieval through Unsupervised Hypergraph-based Manifold Ranking".
hypergraph image-analysis matplotlib networkx numpy python pytorch resnet-50 scipy
Last synced: 03 Nov 2024
https://github.com/evardnk/dataanalyticsportfolio
Собрание моих проектов по аналитике данных
api automation data-analysis etl-pipeline jupyter-notebook jupyterlab kpis numpy pandas pipeline postgresql powerbi python sql visualization
Last synced: 31 Oct 2024
https://github.com/kshitijshrivastava1903/neural_network_analysis_on_lending_club-dataset
Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.
deep-learning dropout-keras earlystopping keras-tensorflow matplotlib-pyplot neural-networks numpy pandas seaborn tensorflow-models
Last synced: 03 Nov 2024
https://github.com/pradeepkumaryenni/my-projects
Data, Visualized - Unlocking the power of data through stunning visualizations. Check out my Power BI projects. Your Data, Your Story - Let's tell compelling stories with data. Explore my Power BI projects.
azure chatgpt dax-languague exce matplotlib-python numpy powerbi-visuals powerqu sql
Last synced: 03 Nov 2024
https://github.com/cosama/vasapy
Vectorized Associative Arrays for Python
associative-array associative-map dictionary numpy python vectorized
Last synced: 13 Oct 2024
https://github.com/mattdelaune/ecommerce_market_basket_analysis
This repository includes a Market Basket Analysis (MBA) project with advanced data cleaning and a Power BI dashboard. It identifies top revenue-driving item pairs, their impact on CLV and ATV, and offers insights for optimized product bundling and revenue growth.
anaconda git google-docs jupyter-notebook kaggle-api numpy pandas postgresql powerbi psql random sql sql-magic sqlalchemy vscode
Last synced: 11 Oct 2024
https://github.com/simran2911/restaurant_rating_pridiction
This github repository have restaurant rating analysis and understand what contributes to high or low ratings on the platform and how these insights can be leveraged for business decision-making.
jupyter-notebook machine-learning numpy pandas powerbi python sklearn statistics tableau
Last synced: 03 Nov 2024
https://github.com/singhmnprt01/custom-deep-neural-network-package
A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy
customized-deep-neural-network deep-learning-framework maths-behind-neural-network numpy
Last synced: 07 Nov 2024
https://github.com/ibz-04/number-plate-recognition
Vehicle number plate recognition using computer vision and image processing
computer-vision easyocr matplotlib-python numpy object-detection opencv
Last synced: 29 Oct 2024
https://github.com/nikita-data/unit_economics_projects
unit economics & cohort analysis projects
cac churn-rate conversion create-function data-analysis data-visualization eda hypothesis-testing ltv math matplotlib numpy python retention-rate roi scipy seaborn segmentation statistics unit-economics
Last synced: 15 Oct 2024
https://github.com/sahil210695/tensorflow-model-deploy
Example how to deploy your TensorFlow model in production using the Tensorflow-serving
deployment docker docker-image linear-regression machine-learning numpy prediction python savedmodel tensorflow tensorflow-examples tensorflow-experiments tensorflow-graph tensorflow-model tensorflow-models tensorflow-serving tensorflow-tutorials
Last synced: 03 Nov 2024
https://github.com/abhishekyana/zframework
Z Framework for Easy Deep Learning
deep-learning machine-learning numpy python tensorflow
Last synced: 07 Nov 2024
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: 07 Nov 2024
https://github.com/popckovs/computational_mathematics
Создаю свой модуль для решение задач по вычислительной математике.
mathematics matplotlib numpy python-3
Last synced: 07 Nov 2024
https://github.com/4thel00z/numpy-serializer
numpy-serializer is a nice and high-level way to serialize numpy.arrays while preserving their shape and type.
bytes deserialization deserialize deserializer msgpack numpy raw serialize serializer serializers
Last synced: 07 Nov 2024
https://github.com/wkrzywiec/polish-crops
Machine learning project to find out if price of a wheat in Poland depends on a weather.
decision-tree-regression eurostat imgw jupyter-notebook linear-regression machine-learning matplotlib-pyplot numpy pandas pipenv poland polynomial-regression python random-tree regression-models scikit-learn support-vector-regression
Last synced: 29 Oct 2024
https://github.com/kavayk29/quora-duplicate-question-pair
This project improves information retrieval by detecting duplicate question pairs in the Quora dataset using data exploration, text preprocessing, feature engineering, and models like Random Forest and LSTM, aiming to streamline question-answering.
beautifulsoup4 bilstm gensim keras lstm matplotlib numpy pandas pytorch random-forest seaborn sklearn tensorflow xgboost
Last synced: 03 Nov 2024
https://github.com/fayzi-dev/machin_learning
Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)
algorithms artificial-neural-networks logistic-regression machine-learning matplotlib matplotlib-pyplot naive-bayes-classifier numpy pandas python python3 seaborn seaborn-plots sklearn sklearn-knn sklearn-library sklearn-linear-model sklearn-linear-regression sklearn-metrics sklearn-svm
Last synced: 03 Nov 2024
https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis
This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.
backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning
Last synced: 03 Nov 2024
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: 03 Nov 2024
https://github.com/quinta0/aequitasiq-
A financial analysis tool that creates an interactive dashboard to visualize personal income and expenses
langchain-python llm machine-learning nextjs14 numpy ollama pandas python sqlite
Last synced: 29 Oct 2024
https://github.com/michaelradu/computational-physics
A collection of Jupyter notebooks demonstrating the use of Python to solve classical and modern physics problems through computational modeling.
computational-model computational-modeling computational-physics education educational jupyter jupyter-notebook latex matplotlib notebook notebooks numerical-analysis numerical-methods numpy physics physics-analysis physics-simulation python scikit-learn
Last synced: 03 Nov 2024
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: 03 Nov 2024
https://github.com/5hraddha/interconnect
Interconnect : Clients Churn Prediction using ML
decisiontreeclassifier dummyclassifier lgbmclassifier logisticregression matplotlib numpy ordinalencoder pandas randomforestclassifier scipy scipy-stats seaborn sklearn standardscaler
Last synced: 03 Nov 2024
https://github.com/shliakhovai/house-price-prediction
This repository contains a complete machine learning pipeline for predicting housing prices. It includes data preprocessing, feature engineering, and model training and evaluation components, designed to provide a robust solution for regression tasks.
data-science machine-learning matplotlib numpy pandas prediction python regression scikit-learn seaborn
Last synced: 03 Nov 2024
https://github.com/niteshchawla/loantap-logisticregression
Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?
confusion-matrix encoding feature-engineering featureimportance hyperparameter-tuning logistic-regression machine-learning numpy pandas-python precision-recall roc-auc-curve sklearn-metrics smote-sampling
Last synced: 11 Nov 2024
https://github.com/shriram-vibhute/house_price_prediction
This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.
exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn
Last synced: 03 Nov 2024
https://github.com/paulo-santos-ds/dados-telefonia
Este projeto tem como objetivo desenvolver um modelo que possa analisar o comportamento do cliente e recomendar um dos planos mais recentes de uma companhia telefônica fictícia.
matplotlib numpy pandas python3 sklearn
Last synced: 03 Nov 2024
