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/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/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/muskanmi/data_analysis_python
Data analysis on students result dataset using python libraries.
boxplot countplots data-analysis numpy pandas pie-chart python3 seaborn
Last synced: 05 Nov 2024
https://github.com/allanreda/automated-k-means-clustering-engine
An interactive K-Means clustering tool built with Flask and Scikit-Learn, supporting Excel file uploads, cluster analysis, and data export, deployed on Google Cloud Run via Docker with CI/CD integration.
cicd css data-visualization deployment docker flask google-cloud-run html javascript k-means-clustering machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 31 Oct 2024
https://github.com/hamidhosen42/titanic-machine-learning-from-disaster-project
Titanic Machine Learning from Disaster Project Model accuracy : 77.272 %
decision-trees knn-classification machine-learning matplotlib nive-bayes numpy pandas python random-forest seaborn sklearn svm
Last synced: 08 Nov 2024
https://github.com/ghaniketrajputp005/adobe-gensolve-hackathon-2024
This Project aims to identify, regularize, and beautify curves in 2D Euclidean space.
cv2 keras-tensorflow numpy os sklearn
Last synced: 10 Oct 2024
https://github.com/giuliotaralli/machine-learning-exercises
Practical exercises from the Machine Learning course
graphviz matplotlib numpy pandas python scipy sklearn
Last synced: 10 Oct 2024
https://github.com/massimilianovisintainer/diabetics-prediction-model
Machine learning model for diabetes prediction.
machine-learning numpy pandas python sklearn svm-classifier svm-model
Last synced: 03 Nov 2024
https://github.com/mchenryspagg/investigate_a_dataset
This is a data analysis project that demonstrates the student's ability to use python data analysis libraries such as pandas, numpy and pyplot in matplotlib to investigate a dataset and answer specific questions from the dataset, thus demonstrating skills in data cleaning, data wrangling, and exploratory data analysis.
data-analysis datetime descriptive-analysis descriptive-statistics exploratory-data-analysis numpy pandas pyplot python visualization
Last synced: 08 Nov 2024
https://github.com/massimilianovisintainer/rock-vs-mine-prediction
Rock vs. Mine classification using Logistic Regression
machine-learning model numpy pandas sklearn
Last synced: 03 Nov 2024
https://github.com/estaheri7/dotawinpredictor
This project aims to predict the outcome of Dota 2 matches based on the heroes picked by both the Radiant and Dire teams
data-science dota2 machine-learning numpy pandas python random-forest sklearn support-vector-machines
Last synced: 10 Oct 2024
https://github.com/eiichiroito/numpharo
NumPy like tools for Pharo Smalltalk
matplotlib-pyplot numpy pharo pharo-smalltalk smalltalk
Last synced: 31 Oct 2024
https://github.com/amiriiw/digit_classification
Welcome to the Digit Classification Project! This project focuses on training a model to classify handwritten digits and using the trained model to predict digits from new images.
digit-classification keras mysql mysql-database numpy os sklearn tensorflow
Last synced: 03 Nov 2024
https://github.com/offthetab/matcha_code_generation
Fine-tunning MatCha model for better python matplot lib code generation by given chart.
fine-tuning huggingface matcha matplotlib numpy pandas pil sklearn torch
Last synced: 03 Nov 2024
https://github.com/sudarsann27/basic_machine_learning_algorithms
Basic Machine learning algorithms using scikit-learn and other fundamental libraries
data-science data-visualization ensemble-model kaggle numpy pandas scikit-learn supervised-machine-learning
Last synced: 03 Nov 2024
https://github.com/secary/compsci7211
Foundations of Computer Science B
algorithms git numpy pandas shell unix
Last synced: 31 Oct 2024
https://github.com/mchenryspagg/prosper-loan-project
A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data
datastorytelling exploratory-data-analysis exploratory-data-visualizations jupyter-notebook matplotlib-pyplot numpy pandas python seaborn-plots
Last synced: 08 Nov 2024
https://github.com/andremenezesds/pa004_health_insurance
Health Insurance Cross-Sell(Learning to Rank Machine Learning Project)
backend backend-api data-analysis data-science data-visualization dataviz lgbm machine-learning matplotlib numpy optuna pandas python scikit-learn shell-script sql webapi xgboost
Last synced: 11 Nov 2024
https://github.com/rohitpawar001/machine_learning
This repository contains all the machine learning algorithms and the ml concepts.
classification hyperparameter-tuning linear-regression logistic-regression machine-learning naive-bayes numpy pandas python regression scikit-learn smote svm
Last synced: 10 Oct 2024
https://github.com/samir-atra/experiments_and-_improvements
A repository showing the knowledge in some of the machine learning technologies there are.
dcgan-tensorflow numpy tensorflow-tutorials tensorflow2
Last synced: 10 Oct 2024
https://github.com/lakshaybhushan/pns-coding-assignment
Solving questions given in "Programming Questions.pdf" using python's matplotlib and jupyter notebooks
ipynb juypter-notebook matplotlib-pyplot numpy python
Last synced: 05 Nov 2024
https://github.com/ankitpundir7/group-face-emotion-recognition
This project can identify and categorize human emotions in both static and dynamic context. Duration : Jun 2023 - Jul 2023
convolutional-neural-networks deep-learning keras machine-learning-algorithms numpy opencv python tensorflow
Last synced: 10 Oct 2024
https://github.com/ramy-badr-ahmed/higgs-dataset-training
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
binary-classification cuda-toolkit cupy dask dask-dataframes higgs-boson keras keras-tensorflow matplotlib matplotlib-python numpy pandas pandas-dataframe scikit-learn uci-dataset uci-machine-learning
Last synced: 10 Oct 2024
https://github.com/ieCecchetti/Python_ML_DL_examples
A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme
bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi
Last synced: 23 Oct 2024
https://github.com/bharath-tars/deeptumor2.0
DeepTumor2.0 is a project aimed at developing a flask webapp with robust front end and highly trained model using tensorflow in the backend with several features like with automatic html template reporting
css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow
Last synced: 03 Nov 2024
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1
Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi
correlation-analysis data-visualization distplot eda feature-engineering model-building model-prediction model-testing numpy ols-regression p-value pandas python regression-plot rsquare-values seaborn simple-linear-regression smf statsmodel t-score
Last synced: 11 Nov 2024
https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif
Last synced: 11 Nov 2024
https://github.com/fatimaafzaal/car_price_prediction
Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.
car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn
Last synced: 15 Nov 2024
https://github.com/atul-maurya-30/galaxy
Galaxy Classification is a machine learning project focused on classifying galaxies into two subclasses: 'STARFORMING' and 'STARBURST'. This project demonstrates data preprocessing, model training, and evaluation using advanced machine learning techniques and Python libraries.
flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
Last synced: 10 Oct 2024
https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2
Plot the data, find the outliers and find out μ,σ,σ^2
boxplot matplotlib-pyplot mean numpy pandas pie-chart python seaborn standard-deviation variense
Last synced: 11 Nov 2024
https://github.com/shwetapardhi/assignment-03-q1--hypothesis-testing
Q1.A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit
hypothesis-testing numpy p-value pandas python scipy significance-testing stats t-test
Last synced: 11 Nov 2024
https://github.com/mustafaozvardar/image-classification-webapp
This project features an AI model for diagnosing pneumonia from chest X-ray images. Users can upload a chest X-ray image through the app, and the model will classify it.
artificial-intelligence computer-vision keras numpy python streamlit streamlit-webapp tensorflow
Last synced: 10 Oct 2024
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2
Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score
Last synced: 11 Nov 2024
https://github.com/ibrahimhabibeg/multimedia-project
Turn images monochrome and create transition between two images
canvas image-processing multimedia numpy pillow python react typescript vite
Last synced: 05 Nov 2024
https://github.com/massimilianovisintainer/house-price-model-prediction
House price prediction model using XGBoost.
machine-learning models numpy pandas python sklearn xgboost xgboost-regression
Last synced: 03 Nov 2024
https://github.com/jsd115/tensorflow_bankfrauddetection
This repository aims to provide examples of my ability to produce ML models using tensorflow and sklearn
numpy pandas sklearn tensorflow
Last synced: 03 Nov 2024
https://github.com/adriantomin/heart-disease-prediction
Predicting Heart Disease with ML 🏥🤖 Machine learning model to predict heart disease using clinical data. Includes data analysis, feature engineering, and model training.
machine-learning matplotlib numpy pandas python sklearn
Last synced: 10 Oct 2024
https://github.com/chandkund/sentiment-analysis-on-movie-reviews
Project on Sentiment Analysis of Movie Reviews using K-means clustering. This project clusters movie reviews based on their sentiment scores to understand audience reactions. Includes data preprocessing, feature selection, model development, and visualization.
data-science eda jupyter-notebook machine-learning matplotlib numpy pandas preprocessing python sklearn
Last synced: 03 Nov 2024
https://github.com/fyt3rp4til/anomaly-detection
dbscan-clustering isolation-forest local-outlier-factor matplotlib numpy sklearn
Last synced: 10 Oct 2024
https://github.com/adriantomin/bulldozer-price-prediction
Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.
data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 10 Oct 2024
https://gitlab.com/Makman2/scipy-steadystate
SciPy extension modules for general purpose steady-state solvers and optimizations for differential state-equations!
numpy optimization scipy steady-state
Last synced: 30 Sep 2024
https://github.com/haranrk/linear-regression
Implemented Linear Regression and some of it's variants
machine-learning matplotlib numpy python python3
Last synced: 22 Oct 2024
https://github.com/freebirdscrew/datascience_crash_course
Data Science Crash Course that Explained about Each and Every Process in Data Science.
dash data datascience datascience-crash-course datascience-machinelearning datascientist datasets freebirdscrew matplotlib numpy numpy-library pandas plotly plotly-python python python3 simranjeet simranjeetsingh
Last synced: 09 Nov 2024
https://github.com/mchenryspagg/wrangle-and-analyze-data
This project which is known as 'wrangle and analyze data' involves the wrangling of WeRateDogs twitter archive data from the period of 2015 to 2017
api data dataanalysis datacollection datawrangling datetime json numpy os pandas pil python requests tweepy-api visualization
Last synced: 08 Nov 2024
https://github.com/davgiles/ut-austin-data-science-program
This repository contains my projects from the Data Science & Business Analytics Post-Graduate Program through UT Austin.
eda matplotlib numpy pandas python scikit-learn scipy seaborn visualization xgboost
Last synced: 03 Nov 2024
https://github.com/szymon-budziak/real_estate_house_prices_prediction
Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.
data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn
Last synced: 10 Oct 2024
https://github.com/alejoduarte23/si_bayesianmixturemodel
Implementation of a two-stage fast Bayesian system identification for separated Modes. This repository expands the usage of this technique by adding a mixture model fit to obtain modal parameters from the posterior distribution.
matplotlib numpy scikit-learn scipy
Last synced: 10 Oct 2024
https://github.com/anjaliwork20/heart-failure-prediction
Heart Failure Prediction in Humans
failure-detection heart heart-disease machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning seaborn svc-model
Last synced: 03 Nov 2024
https://github.com/mkdirer/depression-data-analysis
This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.
classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization
Last synced: 10 Oct 2024
https://github.com/bilgenurbekar/turkishcyberbullying
Contains fine-tuned BERT models and results in the text classification category using Turkish social media data
bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers
Last synced: 10 Oct 2024
https://github.com/chaitanya1436/student_performance_analysis
A project focused on analyzing college student performance using data on department, assessment scores, and performance labels. Implemented in Google Colab, the analysis includes data preprocessing, feature scaling, and exploratory data analysis to uncover insights and prepare the data for further analysis or modeling.
ata-preprocessing data-preparation exploratory-data-analysis feature-scaling google-colab numpy pandas scikit-learn
Last synced: 03 Nov 2024
https://github.com/stella4444/linear-regression
learning about linear regression (currently a work in progress) ~ working with data
linear-regression machine-learning numpy scikit-learn
Last synced: 03 Nov 2024
https://github.com/mkdirer/disaster-tweet-nlp-adaboost-transformers
A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validation set
geopy keras matplotlib numpy pandas python sklearn tensorflow
Last synced: 07 Nov 2024
https://github.com/alaazameldev/text-based-search-engine
Implementation of a search engine using TF-IDF and Word Embedding-based vectorization techniques for efficient document retrieval
chromadb fastapi gensim-word2vec nltk numpy precision-recall python scikit-learn tf-idf-vectorizer
Last synced: 10 Oct 2024
https://github.com/thanhloc81/rfm-model-project
✨ Build a flow to deploy Segmentation evaluation through Python programming.
customer-segmentation numpy pandas python rfm-analysis
Last synced: 08 Nov 2024
https://github.com/bilalm04/email-spam-classifier
A machine learning project that classifies emails as spam or not spam using Logistic Regression, with a deployable Flask API for real-time classification.
api flask jupyter-notebook machine-learning matplotlib nlp numpy pandas python scikit-learn
Last synced: 10 Oct 2024
https://github.com/sarowarahmed/predicting-kolkata-house-price
🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.
app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit
Last synced: 03 Nov 2024
https://github.com/ksharma67/intel-stock-predication-wiith-eda
We are trying to design a model that can predict the price of stock using different methods and algorithms.
eda linear-regression machine-learning-algorithms matplotlib numpy pandas prediction python scaler seaborn skit-learn
Last synced: 06 Nov 2024
https://github.com/ksharma67/partial-dependent-plots-and-individual-conditional-expectation-plots
Individual Conditional Expectation (ICE) plots display one line per instance that shows how the instance's prediction changes when a feature changes. The Partial Dependence Plot (PDP) for the average effect of a feature is a global method because it does not focus on specific instances, but on an overall average.
eda gradient-boosting individual-conditional-expectation linear-regression matplotlib numpy pandas partial-dependence-plot python seaborn sklearn xgboost
Last synced: 06 Nov 2024
https://github.com/ksharma67/k-means-algorithm-on-the-iris-dataset
Applied the K-Means algorithm on the Iris dataset, and utilized the Silhouette Score method to find the best value of K
eda elbow-method iris-dataset kmeans-clustering matplotlib numpy pandas python seaborn silhouette-score
Last synced: 06 Nov 2024
https://github.com/ksharma67/eda-on-ipl
In this python notebook, analysis of IPL matches from 2008 to 2020 is done using python packages like pandas, matplotlib and seaborn.
data-analysis data-science eda matplotlib numpy pandas python seaborn
Last synced: 06 Nov 2024
https://github.com/ksharma67/partial-dependent-plots-individual-conditional-expectation-plots-with-shap
The goal of SHAP is to explain the prediction of an instance x by computing the contribution of each feature to the prediction. The SHAP explanation method computes Shapley values from coalitional game theory. The feature values of a data instance act as players in a coalition.
eda individual-conditional-expectation matplotlib numpy pandas partial-dependence-plot python seaborn shap shapley-additive-explanations sklearn xgboost
Last synced: 06 Nov 2024
https://github.com/buildwithlal/introduction-to-data-science-in-python-coursera
introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera
data-analysis matplotlib numpy pandas
Last synced: 08 Nov 2024
https://github.com/vjpaij/datascience-udemy
Various basic codes on datascience
machine-learning matplotlib numpy pandas python seaborn
Last synced: 19 Nov 2024
https://github.com/jay6430/python-for-data-science
This Repository includes all the Python concepts that are necessary for Data science.
csv data-visualization datascience-machinelearning html-css ipynb-jupyter-notebook matplotlib numpy pandas python3 xml
Last synced: 13 Nov 2024
https://github.com/matteopolak/chatterbox
RNN-based chat message generator.
numpy pandas python rnn tensorflow text-generation
Last synced: 06 Nov 2024
https://github.com/edegan-furb/conwaygameoflife
This project is a simulation of Conway's Game of Life using Python with the Pygame library.
conways-game-of-life numpy pygame python
Last synced: 06 Nov 2024
https://github.com/madhurjain/carnd-traffic-sign-classifier-project-2
CarND Traffic Sign Classifier Project #2
carnd matplotlib numpy pandas python self-driving-car tensorflow
Last synced: 08 Nov 2024
https://github.com/alvii147/discretetimelib
Python library for analysis of discrete time signals and systems
numpy pandas scipy signals-and-systems sympy
Last synced: 06 Nov 2024
https://github.com/0eix/deepclassifier
DeepClassify - A Versatile Command Line Image Classifier
classification classifier cli cnn command-line-app deep-learning numpy pandas pillow python pytorch torchvision transfer-learning
Last synced: 06 Nov 2024
https://github.com/rnddave/python-like-a-boss
This is where I stash my Python study material.
data data-analysis data-engineering data-science data-visualization datascience ipynb ipynb-jupyter-notebook ipynb-notebook numpy pandas python python3
Last synced: 11 Oct 2024
https://github.com/theroyakash/shallow_neural_network
Design of an one hidden layer neural network using numpy only,
neural-networks numpy shallow-neural-network
Last synced: 07 Nov 2024
https://github.com/ifimust/room_generator
Room generator service for 2D game levels
flask google-app-engine microservice numpy procedural-generation python
Last synced: 10 Nov 2024
https://github.com/wbadart/simplegcn
Basic implementation of a Graph Convolutional Network
data-science gcn neural-network numpy
Last synced: 06 Nov 2024
https://github.com/webintellectual/coloured-image-to-b-w-converter-web-app
A Streamlit web application to convert a coloured image to black and white image.
numpy opencv pil pillow python3 streamlit streamlit-webapp
Last synced: 06 Nov 2024
https://github.com/manuel-lang/numpymongo
A python package to export NumPy data to MongoDB
Last synced: 02 Nov 2024
https://github.com/kartikeya443/handgesture_vol_control
This OpenCV project enables remote control of sound playback using wireless communication. It lets users adjust the master volume of the central device using finger gestures, enhancing convenience and user experience.
mediapipe numpy opencv pycaw wireless-communication
Last synced: 06 Nov 2024
https://github.com/alinenog/desenvolve_gb_2022
Formação Desenvolve 2022 do Grupo Boticário na área de dados
data-analysis data-science googlesheet machine-learning numpy pandas python
Last synced: 06 Nov 2024
https://github.com/hifly81/photox
photo and album organizer for gtk3
gtk3 numpy opencv-python photography pil pillow python
Last synced: 10 Oct 2024
https://github.com/kartikeya443/handgesture_detection_opencv
A Computer Vision based model trained on data sets of over 300 inputs for a particular gesture is able to detect and identify human hands gestures effortlessly and is able to track the coordinates for further modifications in its usage for controlling devices like mouse and windows (control features are in development).
deep-learning mediapipe numpy opencv tensorflow
Last synced: 06 Nov 2024
https://github.com/flashdroid15/food_safety_security_dtp3
Modelling food safety and food security using Python
data-processing data-visualization matplotlib multiple-linear-regression numpy pandas python seaborn
Last synced: 06 Nov 2024
https://github.com/reubenmathew/docscanner
📸 Document Scanner using an OpenCV Edge Detection Engine
Last synced: 06 Nov 2024
https://github.com/darshan12345678910/loan_predict-logisticregression-ml-algorithms
implementation of LogisticRegression
eda logistic-regression ml-algorithms numpy pandas
Last synced: 12 Nov 2024
https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure
A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.
eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn
Last synced: 06 Nov 2024
https://github.com/sibendud/csi_2024_dataengineering
Internship on Data Engineering where below topics are applied skills that are used to complete the given tasks through out 8 weeks including the project.
adf adls azure-pipelines databricks docker ipynb json numpy pandas-python parquet-avro pipeline pyspark python sql sql-server
Last synced: 11 Oct 2024
https://github.com/gherrada22/spanish-sign-translator
This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.
language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml
Last synced: 31 Oct 2024
https://github.com/abrahamkoloboe27/fruits-recognition-streamlit-app
🍎 Fruits Classification App (Streamlit) 🍌
convolutional-neural-networks deep-learning image-classification image-processing keras logging machine-learning machine-learning-engineering mlops numpy pandas plotly prototype python streamlit streamlit-application tensorflow
Last synced: 31 Oct 2024
https://github.com/ksharma67/heart-failure-prediction
This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.
auc-roc-curve auc-roc-score decision-trees eda eli5 gridsearchcv lightgbm lime logistic-regression numpy pandas python random-forest seaborn shap skit-learn sklearn svm xgboost
Last synced: 06 Nov 2024
https://github.com/filipporanza/rc4
A simple RC4 implementation in Python3. Useful for testing and studing RC4 properties
matplotlib numpy python3 rc4 university-project
Last synced: 06 Nov 2024
https://github.com/rajaprerak/tag_generation
natural-language-processing nlp nltk numpy pandas python sklearn
Last synced: 06 Nov 2024
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: 07 Nov 2024
https://github.com/mkdirer/multivariate-time-series-forecasting-using-transformers
This project develops a Transformers-based neural network for modeling and forecasting multivariate time series data from a COVID-19 dataset in Poland. The implementation is in Python, utilizing the Keras library for neural network design and training, along with numpy, pandas, matplotlib, and sklearn for data analysis and model evaluation.
keras-tensorflow matplotlib neural-network numpy pandas sklearn
Last synced: 07 Nov 2024
https://github.com/teslaproduuction/data_analiz_al
Прогнозирование курса алюминия с использованием модели ARIMAX
arimax csv django html-css-javascript numpy pandas python rss scipy sklearn sqlite yfinance-library
Last synced: 06 Nov 2024
https://github.com/ljadhav25/django-data-analyzer
Django Data Analyzer is a web application built using the Django framework, designed to streamline data analysis tasks. Users can upload CSV files containing data for analysis. The application utilizes the powerful data manipulation capabilities of Python libraries like pandas and numpy to perform various analyses on the uploaded data.
data-analysis data-visualization django-application matplotlib numpy pandas python seaborn
Last synced: 10 Nov 2024
