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/amirhnajafiz-university/s7dc01
Final project of Data Communications course
data-communication matplotlib modulation numpy python scipy signal signal-processing
Last synced: 06 Nov 2024
https://github.com/anoopgeorge418/my-learnings
Learning Topics Related Data-Science and Web-Development From Complete Scratch.
bokeh bootstrap css folium html matplotlib numpy pandas plotly python scikit-learn seaborn
Last synced: 10 Nov 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/mahboobehad/ocausal
Outlier Causal Relationship Detecotor
causality-analysis datamining networkx notebook numpy outlier-detection python
Last synced: 07 Nov 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/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/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/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/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/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/official-biswadeb941/mayabati---your-personal-ai-chef
Mayabati is a personal AI chef designed for enhancing culinary experience. Crafted by Biswadeb Mukherjee, a leading developer of ParseSphere Innovations.
flask flask-api flask-application gensim-word2vec keras-models keras-neural-networks keras-tensorflow nltk numpy pickle pytorch tensorflow
Last synced: 13 Nov 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/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/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/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/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/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/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/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/cosama/vasapy
Vectorized Associative Arrays for Python
associative-array associative-map dictionary numpy python vectorized
Last synced: 13 Oct 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/abhishekyana/zframework
Z Framework for Easy Deep Learning
deep-learning machine-learning numpy python tensorflow
Last synced: 07 Nov 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/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/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/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/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/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/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/adalbertobrant/macd
Estudando sobre o uso do streamlit com geração de gráficos e dados da B3
bovespa box-plot golden-cross macd numpy python single-moving-average steamlit stocks
Last synced: 09 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/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/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/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/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: 13 Oct 2024
https://github.com/rajaprerak/resumesectionclassifier
Generate sections from resume
machine-learning numpy pandas python sklearn
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/tawabshakeel/neural-networks-using-keras
Different Neural Networks using keras
deep-learning keras machine-learning neural-networks numpy pandas python sklearn
Last synced: 13 Oct 2024
https://github.com/eschan145/spaceshooter
A simple space shooter game
cpp cpp23 game gcc mingw-w64 numpy python python-arcade
Last synced: 15 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/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/sahajrajmalla/co2-calculator-api
A Web Application backend API that enables people to create events, join events, and measure the carbon footprint produced by each participant to get insights about online and onsite carbon emissions.
apis carbon-emissions carbon-footprint fastapi makefile numpy pandas precommit sqlalchemy sqlite3 uvicorn
Last synced: 10 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-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/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/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: 10 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/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/justsecret123/one-piece-characters-detector
An object detector trained with a Kaggle GPU, using Tensorflow and a fine-tuned ssd resnet50.
artificial-intelligence computer-vision convolutional-neural-networks deep-learning deep-neural-networks docker fine-tuning jupyter kaggle kaggle-dataset matplotlib numpy object-detection python single-shot-detector tensorflow tensorflow-object-detection tensorflow-serving transfer-learning
Last synced: 05 Nov 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/gracysapra/pandas-numpy-data-visualisation
This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.
data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn
Last synced: 11 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/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/miladsade96/numpy_and_algebra
Introduction to numpy and linear algebra
algebra linear-algebra matrices numpy tensor vectors
Last synced: 09 Nov 2024
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 Nov 2024
https://github.com/mchenryspagg/analysis-of-car-repair-shop-operations
This project presents a comprehensive data analysis of a car repair shop's operations, utilizing an extended dataset of sales receipts.
dataanalysisusingsql datavisualization matplotlib-pyplot mysql mysql-database mysqlconnector numpy pandas python salesanalysis seaborn sql
Last synced: 15 Oct 2024
https://github.com/clayrisser/6-line-neural-net
The smallest neural network
Last synced: 28 Oct 2024
https://github.com/tillahoffmann/idxhound
🐶 Track indices across one or more numpy selections.
data numpy scientific-computing
Last synced: 11 Oct 2024
https://github.com/vorticity-inc/vtensor
VTensor, a C++ library, facilitates tensor manipulation on GPUs, emulating the python-numpy style for ease of use. It leverages RMM (RAPIDS Memory Manager) for efficient device memory management.
cublas cuda curand cusolver gpu numpy rmm tensor
Last synced: 23 Oct 2024
https://github.com/walkerdustin/vergleich-von-messmethoden-fuer-punktwolken
Bei der Vermessung eines physischen Raumes ist das Ergebnis eine Punktwolke. Diese Punktwolke beschreibt dann ausgewählte Punkte im Raum, zum Beispiel auf den Wänden und der Decke. Wenn diese Punkte in zwei seperaten Messungen gemessen werden, vielleicht sogar von unterschiedlichen Geräten, soll hinterher herausgefunden werden wie genau diese Punktwolken übereinstimmen. Dafür gibt es zwei grundsätzlich verschiedene Methoden. Diese sollen hier verglichen werden.
3d-models accuracy-metrics data-analysis data-visualization kaggle measure-distance numpy point-cloud pointcloudprocessing punkte python science-research simulation statistics
Last synced: 08 Nov 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/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/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/udityamerit/machine-learning-for-beginners
artificial-intelligence classification classification-algorithm clustering clustering-algorithm clustering-methods machine-learning machine-learning-algorithms matplotlib numpy pandas python regression-algorithms regression-analysis regression-models scikit-learn scipy tensorflow
Last synced: 17 Oct 2024
https://github.com/mahnoorsheikh16/fds-project-cmse830-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: 17 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/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/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/sd338/fractureai
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics
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/achalesh27022003/python-assignments-iwt
This repository is objected to have all the assignments and project related to IWT (Semester - 3).
cosinewave frame grid image imagetk labels matplotlib-pyplot numpy numpy-arrays numpy-library photoimage pil python3 sinewave spyder tkinter tkinter-gui window
Last synced: 08 Nov 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/khadkarajesh/wine-prediction
White and Red Wine classification using logistic regression
airflow airflow-dags classification classification-algorithm data-science dataingestion evidently flask logistic-regression logistic-regression-algorithm machine-learning machine-learning-pipeline mlflow numpy pandas pipeline postgresql python scikit-learn supervised-learning
Last synced: 13 Nov 2024
https://github.com/raihan4520/ml
A collection of machine learning projects showcasing various algorithms and techniques, including a final project for the Machine Learning course at AIUB.
data-preprocessing jupyter-notebook machine-learning model-evaluation numpy pandas python scikit-learn
Last synced: 31 Oct 2024
https://github.com/guiferviz/happyml
Machine Learning Python library for academic purposes.
deep-learning deep-neural-networks learning machine-learning machine-learning-algorithms neural-network neural-networks numpy
Last synced: 29 Oct 2024
https://github.com/wyllduck/pygame_escapefromgaia
PYGAME / 2018 / university: ETSEIB-UPC / title: 'Escape from Gaia'
matplotlib networkx numpy pygame python3
Last synced: 10 Nov 2024
https://github.com/udityamerit/all_mlpackages
The `all_MLpackage` is a Python tool for breast cancer detection using scikit-learn's machine learning algorithms. It automates model training, generates accuracy comparisons, and helps identify the best-performing algorithm for diagnosis.
classification knn-algorithm logistic-regression machine-learning numpy pandas scikit-learn svm-model
Last synced: 31 Oct 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/briankopp/fewerbytes
compress numpy arrays. binary and numeric techniques for numpy compression
compress compression numpy python python3 storage
Last synced: 30 Oct 2024
https://github.com/kaleharshavardhan07/spam_mail-_detector_ai_model
This project implements a spam detection system for SMS messages using machine learning techniques.
mathplotlib nltk numpy panda python scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/ksatrajit0/heart-disease-prediction-ml
Predicts the risk of heart attack in a patient using their medical record
heart-disease-prediction machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/blakeziegler/nfl-ai
Sports AI featuring Deep Learning Neural Networks from Scratch
artificial-intelligence calculus deep-neural-networks linear-algebra neural-network numpy predictive-modeling sports statistics
Last synced: 15 Nov 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/mothnik/robust_fourier
Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba
chebyshev-polynomials fourier-transform hermite-functions hermite-polynomials least-square-regression logsumexp numba numpy python robust-statistics
Last synced: 11 Oct 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
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/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/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/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
