Ecosyste.ms: Awesome

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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.

https://github.com/mariam-zaidi/bike-sharing-prediction-model

Build a multiple linear regression model for the prediction of demand for shared bikes.

linear-regression matplotlib numpy pandas rfe seaborn sklearn

Last synced: 12 Feb 2025

https://github.com/mike014/chatbot_app

Chabot is an application with a graphical user interface that uses various natural language processing (NLP) techniques to tokenize, stem, find stop words, and apply regular expressions to user-input text. The interface is built using Tkinter.

deep-learning dialogpt keras-neural-networks keras-tensorflow knn machine-learning-algorithms ml natural-language-processing nlp nltk nltk-python numpy pca python seq2seq tensorflow textpreprocessing tk tokenizer

Last synced: 31 Oct 2024

https://github.com/hansalemaos/cv2_stack_images

Stacks 2 images (horizontal/vertical)

concat cv2 images numpy python stack

Last synced: 18 Feb 2025

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: 09 Feb 2025

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: 09 Feb 2025

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: 09 Feb 2025

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: 09 Feb 2025

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: 10 Jan 2025

https://github.com/sandyg6/breast-cancer-classification

Building a Breast cancer classification model using Random Forest Classifier and deploying it to a web application using Flask framework

flask html-css-javascript numpy pandas python random-forest-classifier

Last synced: 20 Jan 2025

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: 10 Jan 2025

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/yashbhutwala/pong-ai

Deep Q-Learning Networks vs. Policy Gradient Learning in OpenAI Gym's Pong Environment

deep-q-learning numpy openai-gym policy-gradient pong python tensorflow

Last synced: 16 Feb 2025

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: 13 Feb 2025

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/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: 09 Feb 2025

https://github.com/shwetapardhi/assignment-1-q7--basic-statistics-level-1

Q7) Calculate Mean, Median, Mode, Variance, Standard Deviation, Range & comment about the values / draw inferences, for the given dataset For Points,Score,Weigh> Find Mean, Median, Mode, Variance, Standard Deviation, and Range and also Comment about the values/ Draw some inferences. Use Q7.csv file

mean median mode numpy pandas python range standard-deviation variance

Last synced: 10 Jan 2025

https://github.com/shwetapardhi/assignment-3-q3-hypothesis-testing

Chi2 contengency independence test image of Buyer Ratio Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does v

chi2-contingency contingency-analysis hypothesis-testing norm numpy pandas python scipy stats

Last synced: 10 Jan 2025

https://github.com/sumaiyyaf/spotify-data-analysis

This project explores Spotify music data, using Python to clean, analyze, and visualize the dataset. It examines the relationship between audio features and sentiment in song lyrics, uncovering patterns and trends to provide valuable insights into music preferences.

eda numpy pandas python

Last synced: 07 Feb 2025

https://github.com/sumaiyyaf/movie-industry-analysis

This project focuses on the acquisition and in-depth analysis of movie data to generate strategic recommendations, guiding our hypothetical company's successful entry into the movie industry.

exploratory-data-analysis numpy pandas python visualization webscraping

Last synced: 07 Feb 2025

https://github.com/thoughtscript/python_api_2023

Some fun with Flask, Python, and Machine Learning

angular docker docker-compose flask machine-learning mysql numpy

Last synced: 24 Jan 2025

https://github.com/calcagnoloic/algo_data_plot_ml_playground

Carry out a series of exercises related to different aspects of Python: algorithmic, data manipulation with NumPy/Pandas, data visualization with PyPlot/Seaborn and the base of machine learning (KNN/logistic)

data-structures database datetime dictionary input-output json list loops machine-learning matplotlib numpy pandas poo python set tuple unittest uuid

Last synced: 26 Jan 2025

https://github.com/techcsispit/algorithmic-trading

This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.

matplotlib numpy pandas python sklearn

Last synced: 31 Oct 2024

https://github.com/andrewsy1004/logistic-regression-spam-classifier

This project implements a spam email classifier using Logistic Regression.

numpy pandas scikit-learn

Last synced: 12 Feb 2025

https://github.com/samp1012/email_sms_spam_detector

An Email/SMS spam classifier that aims to identify and distinguish between spam and non-spam messages.

multinomial-naive-bayes naive-bayes-classifier natural-language-processing numpy pandas python scikit-learn spam-detection text-vectorization tokenization

Last synced: 12 Feb 2025

https://github.com/iusztinpaul/airbnb-data-analysis

Airbnb data analysis on the biggest cities in The Netherlands following the CRISP-DM methodology.

airbnb data datanalysis datascience machine-learning numpy pandas python

Last synced: 20 Jan 2025

https://github.com/iusztinpaul/ibm-assets-recommendation-engine

Deployable recommendation system for predicting the fittest IBM articles for a given user.

ibm machine-learning numpy pandas python recommendation-engine recommendation-system svd-matrix-factorisation

Last synced: 20 Jan 2025

https://github.com/blackcub3s/msc-finalthesis

The most important programming files, code functions and data processing pipelines for the Machine learning final thesis of my Master's degree. Also, the LaTeX code of the thesis.

data-analysis latex machine-learning numpy python sklearn

Last synced: 05 Jan 2025

https://github.com/sudarshanc00/smishing

This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.

nltk numpy pandas python scikit-learn scipy

Last synced: 20 Jan 2025

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: 09 Feb 2025

https://github.com/jbayardo/aa-tp2

Q-Learning for Four in a row

matplotlib numpy python q-learning

Last synced: 02 Feb 2025

https://github.com/elmezianech/email-spam-ham-classifier-lr

Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.

ai emails jupyter-notebook logistic-regression machine-learning ml numpy pandas python spam-detection spam-filtering tfidfvectorizer

Last synced: 16 Jan 2025

https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset

Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.

classification machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Feb 2025

https://github.com/rushilsharma1/iphonesales_eda

An exploratory data analysis of an Iphone sales in jupyter notebook with the help of python and its libraries

data-science exploratory-data-analysis jupyter-notebook numpy pandas python seaborn

Last synced: 11 Feb 2025

https://github.com/ecrows/flippy

Python command-line utility for generating videos from image directories.

data-science image-processing numpy opencv python python3 video video-processing visualization

Last synced: 13 Jan 2025

https://github.com/hansalemaos/stridesduplicatefinder

Calculate overlapping values between two arrays and return the results as a DataFrame

duplicates fast numexpr numpy strides

Last synced: 13 Jan 2025

https://github.com/ryancswallace/npdb

Parallel NumPy-like interface for large n-dimensional arrays on disk.

mapreduce-designpatterns numpy numpy-arrays parallel-computing python

Last synced: 13 Jan 2025

https://github.com/hansalemaos/cppradixsort

parallel_radixsort from C++ for Python (Windows)

cpp numpy parallel-computing python sort

Last synced: 13 Jan 2025

https://github.com/paulo-santos-ds/guia_de_precos_de_veiculos_com_machine_learn

Sistema de predição de preços de carros usados desenvolvido para a Empresa Rusty Bargain

catboost lgbm numpy pandas pyplot python seaborn sklearn time

Last synced: 24 Jan 2025

https://github.com/tamk-kol/project_orbital_data_analysis

The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.

matplotlib numpy pandas scikit-learn

Last synced: 31 Oct 2024

https://github.com/carmoreno/aviones-aldeas

:airplane: Final project o Complexity and Optimisation course :house_with_garden:

algorithms numpy pyqt4 scipy

Last synced: 05 Jan 2025

https://github.com/shengyuan-lu/numpy-notes

My NumPy Studying Notes For CS 116 (Python)

numpy

Last synced: 09 Feb 2025

https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-

The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.

data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn

Last synced: 17 Feb 2025

https://github.com/brenderb/python-projects

General interest and school python projects I completed. Included are lab analysis files (with uncertainty analysis, fitting, and graphing), simulation files (visualization of electric+magnetic fields, etc), specific research project files (data extraction + processing for a building science lab, graphs for a medical physics paper) and misc files

csv fitting matlab matplotlib numpy os pandas pyplot python scipy uncertainty

Last synced: 11 Feb 2025

https://github.com/s-h-i-v-i-s/bangalore-housing-price-prediction

A Machine Learning Project to predict Bangalore House Prices.

jupyter-notebook machine-learning matplotlib numpy pandas python pythonflask sklearn

Last synced: 05 Jan 2025

https://github.com/akansharajput280799/data-exploration-and-visualization-for-streaming-platform

Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.

data-visualization excel exploratory-data-analysis matplotlib numpy python seaborn

Last synced: 02 Feb 2025

https://github.com/sutterseba/des-python

A simple DES implementation in Python

cryptography numpy python

Last synced: 05 Jan 2025

https://github.com/akansharajput280799/covid19-impact-analysis-usa

Data Analysis and Predictive Modeling to study COVID-19 impact across age groups, regions, and seasons in the USA.

classification-algorithm clustering-algorithm data-preprocessing data-visualization descriptive-statistics exploratory-data-analysis matplotlib numpy pandas seaborn

Last synced: 02 Feb 2025

https://github.com/eesunmoon/genai_cor-recom

[Project] Outfit Coordination Recommender System using KoAlpaca

data-analysis fine-tuning generative-ai huggingface keyword llm numpy pandas python python3 selenium

Last synced: 02 Feb 2025

https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics

✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.

data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control

Last synced: 02 Feb 2025

https://github.com/syedzaheerabbas/risk-analytics-with-python

This project focuses on developing a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.

eda hypothesis-testing numpy pandas python risk-analysis seaborn

Last synced: 02 Feb 2025

https://github.com/vishal-verma-96/pre-owned-car-price-prediction-using-streamlit-app

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn streamlit

Last synced: 02 Feb 2025

https://github.com/kheriberto/knn_project

This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.

data-analysis knn-classifier numpy python scikit-learn seaborn

Last synced: 02 Feb 2025

https://github.com/vidushibhadana/eda-on-nyc-taxi-data

About Conducting an Exploratory Data Analysis (EDA) on New York City taxi data and visualizing it through countplots, distribution plots (displot), and histograms using Python and it's libraries.

data data-visualization jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 02 Feb 2025

https://github.com/shreedata/data-analysis-using-python-libraries-

The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

covid-19 data data-cleaning data-visualization datana kaggle-dataset matplotlib numpy pandas-python python3 pythonlibrarires scikit seaborn

Last synced: 02 Feb 2025

https://github.com/winstxnhdw/pyalign

An over-engineered website for aligning multiline strings to a common character with PyScript.

numpy pyscript

Last synced: 23 Oct 2024

https://github.com/arv-anshul/campusx-graphs

Contains all the graphs provided by CampusX to learn Statistics and Algebra with some added feature.

algebra campusx-dsmp data-science matrix numpy statistics streamlit vizualisation

Last synced: 17 Feb 2025

https://github.com/yalai92/master_academic_projects

This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.

automation clustering data-merging google-colab jupyter-notebook machine-learning matplotlib numpy pandas powerbi python sklearn xgboost

Last synced: 20 Jan 2025

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 20 Jan 2025

https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis

Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.

forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed

Last synced: 17 Feb 2025

https://github.com/rakibhhridoy/differentprojects

Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!

data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics

Last synced: 17 Feb 2025

https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression

Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.

deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 17 Feb 2025

https://github.com/rakibhhridoy/covid19analysisindashboard-tableau

Covid19 dashboard analysis of world,north america,south east Asia and their characteristics upon pandemic. Some interesting statistics is shown by the data. The increase rate make effect on death and recover rate quite periodic. Simulating those changes make more interactive.

covid-19 dashboard data-processing dataviz numpy pandas python statistics tableau tableau-dashboards

Last synced: 17 Feb 2025

https://github.com/hansalemaos/ffmpeg_stream_to_numpy

ffmpeg stream to numpy arrays

cv2 ffmpeg numpy python stream video

Last synced: 13 Jan 2025

https://github.com/nova-land/kalmanfilter-python

Kalman Filter in PyTorch and Numpy

kalman-filter numpy python pytorch

Last synced: 26 Jan 2025

https://github.com/marknature/fashion-recommender-system

The Fashion Recommender System is an image-based recommendation engine that suggests similar clothing items based on user-uploaded images

cv2-library numpy opencv-python os pickle pil python3 skle streamlit tensorflow tqdm

Last synced: 13 Jan 2025

https://github.com/marknature/machine-learning-intern

Machine Learning tasks involving the Titanic Dataset and Breast Cancer Wisconsin (Diagnostic) dataset

data-analysis github jupiter-notebook machine-learning matplotlib numpy pandas python scikit-learn sklearn

Last synced: 13 Jan 2025

https://github.com/marknature/opencv-bootcamp

If you are looking to take your first steps towards learning Computer Vision and AI using OpenCV, this is the best OpenCV course to jumpstart your career.

anaconda computer-vision cv2-library ffmpeg jupyter-notebook matplotlib numpy opencv os urllib zipfile

Last synced: 13 Jan 2025

https://github.com/mgitrov/cnn-on-cifar-10

A computer vision project aiming to classify random images uploaded by the user.

artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter

Last synced: 02 Feb 2025

https://github.com/mgitrov/ann-from-scratch

An artificial neural network implemented from scratch using numpy only.

artificial-neural-networks deep-learning guide numpy

Last synced: 02 Feb 2025

https://github.com/mgitrov/kulo-chatbot

A retrieval based chatbot aiming to simulate human-like conversation with the user via text messages on chat.

artificial-neural-networks bag-of-words deep-learning json keras lemmatization natural-language-processing nltk numpy tkinter tokenization

Last synced: 02 Feb 2025

https://github.com/mgitrov/coce

A deep learning-based project aiming to classify images out of 10 classes.

computer-vision convolutional-neural-networks deep-learning docker fastapi keras matplotlib numpy pillow regularization

Last synced: 02 Feb 2025

https://github.com/mgitrov/lifespan-x-population-status

A machine learning project aiming to predict animals' lifespan and population status.

bs4 data-science machine-learning matplotlib numpy pandas python regular-expressions requests seaborn sklearn

Last synced: 02 Feb 2025

https://github.com/saro0307/exploratory-data-analysis-terrorism

Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023

colaboratory data-analysis datascience machine-learning numpy pandas python seaborn skit-learn visualization

Last synced: 13 Jan 2025

https://github.com/saro0307/unemployment-analysis

This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.

data-science datavisualization machine-learning matplotlib numpy pandas python seaborn skit-learn

Last synced: 13 Jan 2025

https://github.com/foggysmile/ml_labs_itmo

Лабораторные работы по машинному обучению

bert decision-trees jupyter-notebook machine-learning numpy pandas random-forest xgboost

Last synced: 31 Oct 2024

https://github.com/jmromer/salaries

A number-crunching API powered by Flask and Pandas

demo flask numpy pandas python python3

Last synced: 13 Jan 2025