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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/dzakarias/waves
Fun with the sine function inspired by Chladni plates
Last synced: 10 May 2026
https://github.com/prakashjha1/email-sms-spam-classifier
Many email services today provide spam filters that are able to classify emails into spam and non-spam email with high accuracy.
machine-learning natural-language-processing numpy pandas python
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https://github.com/florasteve/ml-foundations-day2
Day-2 ML foundations: probability/stats refresh and NumPy logistic regression; notebooks with visuals.
data-science jupyter-notebook logistic-regression machine-learning matplotlib numpy statistics
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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
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https://github.com/jatin-s16/neuron_from_scratch
Hey! I am learning to build neural networks from scratch without the use of built-in Python libraries.
deep-learning neural-networks nnfs numpy python
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https://github.com/shriansh2002/stock-prediction
This project predicts Apple stock prices using linear regression. It's based on historical stock price data and uses Python and popular data science libraries like Pandas, NumPy, Matplotlib, and scikit-learn.
apple datascience finance linearregression machinelearning matplotlib ml numpy pandas prediction python scikitlearn stock-prediction stockmarket
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https://github.com/baschin1103/machine-learning-linear-regression-tsi
The model is the multiple linear regression loaded from scikit-learn. The aim is to create a model to forecast the so called Total-Skill-Index (TSI) of a player from hattrick.org. More information on: https://wiki.hattrick.org/wiki/Total_Skill_Index. In this repository is the programm and necessary data.
csv linear-regression machine-learning numpy pandas python statistics
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https://github.com/daksh90a/wine-quality-analysis
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matplotlib-python numpy pandas seaborn
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https://github.com/diogoribeiro7/vortex2d
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https://github.com/asuquoaa/big_4_sports_teams_and_city_population_analysis-2018-
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Raw implementation of mlp classifier in python using numpy.
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batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent
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https://github.com/goessl/complex-random
A package for the most basic complex random sampling.
complex complex-numbers complex-plane normal-distribution numpy pip python random random-number-generator uniform-distribution unit-circle
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algorithmic solution with 3D visualization
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https://github.com/huzaifa12466/neuralnetscratch
A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset
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https://github.com/lmlk-seal/pyspeed
Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.
analyzer customtkinter gui intelligent numpy optimization optimization-tools performance python real-world-problem-solving
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Training and finetuning local GPTs.
gpt nanogpt numpy pytorch tqdm transformers
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https://github.com/micmurawski/cloud-array
cloud-array is an open-source Python library for storing and streaming large Numpy Arrays on local file systems and major cloud proviers CDNs.
aws azure big-data bigarray blob-storage cloud data-structures digitalocean-spaces gcp gcp-cloud-storage ibm-cloud-object-storage numpy s3 stream-processing streaming zadara
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https://github.com/sanchariii/health-assist-1
Health Assist web app uses the Streamlit framework to help users identify potential diseases. Simply input your symptoms, and the system will predict whether you have diabetes, heart disease, or Parkinson's disease. The system is designed to be quick and convenient, promoting early detection and timely medical intervention.
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https://github.com/muhkartal/xai_dashboard
an interactive AI dashboard for machine learning model analysis and explainability, supports model training, dataset exploration, feature importance analysis, and SHAP-based explanations for both individual predictions and overall model behavior, compare multiple models, visualize insights, and export results seamlessly
joblib numpy pandas python sckit-learn shap streamlit xgboost
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https://github.com/shoaib1522/credit-card-fraud-analysis
"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."
eda epochs mlp-classifier neural-network numpy pandas-python perceptron-learning-algorithm python regression sckiit-learn seaborn streamlit streamlit-webapp tensorflow
Last synced: 09 Apr 2026
https://github.com/adi3042/diamond-price-prediction
🔮💎 Explore the Diamond Price Oracle! Predicting diamond values based on your preferences and market trends. Your ultimate tool for informed decisions in the diamond world. Join us for the future of pricing! 💎✨🚀 #DiamondPredictor
anaconda datetime diamond flask functools html ipykernel jupytrnotebooks matplotlib numpy pandas price-prediction readme regression sckiit-learn setuptools venv
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https://github.com/eesunmoon/data_analysis
Data Analysis
beautifulsoup numpy pandas python selenium
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https://github.com/prithvi45/machine-learning-prerequisites
Basics to Advance concepts on Numpy, Pandas, Matplotlib
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https://github.com/hajdu-patrik/nlp_music-mood-classifier_bme_hf
This project is a Python-based NLP system that analyzes song lyrics to determine their emotional profile and recommends similar songs.
nlp nlp-machine-learning numpy pandas python
Last synced: 10 Nov 2025
https://github.com/armahdavi/ml-xgboost-regressor---rapid-filter-forensics_rff-dust-recovery-from-hvac-filter
ML modelling of dust recovery from HVAC filters: Linear Regression vs. XGBoost - Project Milestone: 2017-2020.
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https://github.com/akshay-rajan/machinelearning
Introduction to Machine Learning
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https://github.com/alphacrypto246/old-car-price-prediction
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https://github.com/tasninanika/australian-credit-approval-analysis-svm
This project uses a Support Vector Machine (SVM) Classifier to predict whether a credit application is approved (1) or denied (0) based on applicant features.
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https://github.com/lexxai/goit_python_ds_hw_03
Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.
latex linear-regression matplotlib numpy pandas python scikit-learn
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https://github.com/glbter/data-analysis-py
data-analysis labs. 50/50 made with Oleh Tonkoshkur
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https://github.com/sukanyadutta52/topic_modeling
What are the most pressing concerns regarding ‘Climate Change’ among tweeters according to Topic Modeling?
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Project Title: Titanic Survival Prediction Project Overview The Titanic Survival Prediction project is a classic machine learning problem that aims to predict whether a passenger survived the Titanic disaster based on various features such as age, gender, passenger class, and more. This project demonstrates my ability to clean, analyze, and model.
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Our knowledge system systematically ingests, processes, and indexes open-access life science publications. It supports internal research by providing precise question-answering and efficient retrieval from a continuously updated repository of scientific literature
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Web application for detecting fraudulent credit card transactions using machine learning
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https://github.com/ledsouza/medphys-bi
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https://github.com/kylehperez/mushroomnet
This API is for research purposes ONLY and is NOT to be used for food-safety or medical advice. Mushroomnet is a machine learning neural network for classifying mushrooms as poisonous or edible. The model was trained on data from uni.edu: over 5,000 instances of mushrooms, with 22 qualitative features and a determination of poisonous or edible.
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https://github.com/ankitsharma-tech/classification-of-arrhythmia-using-ecg-data
A machine learning project to detect and classify arrhythmias from ECG signals using Python, scikit-learn, and TensorFlow. Includes data preprocessing, model training, and evaluation.
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https://github.com/somenath203/loan-status-prediction-backend
Click below to visit the swagger docs of the website
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https://github.com/vedikasnehil/my-data-science-projects
This repository is a comprehensive collection of resources and implementations dedicated to the field of Data Science. It serves as a platform for exploring various aspects of data science, ranging from data preprocessing and exploratory data analysis (EDA) to machine learning and deep learning.
data data-science deep-learning machine-learning matplotlib numpy python sql visualization
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Used libraries and functions as follows:
barplot bivariate boxplot densityplot histogram jointplot matplotlib numpy pairplot pandas python seaborn-plots seaborn-tutorial stripplots swarmplot univariate violinplot visualization
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https://github.com/amithjoseph777/gourmethaven-case-competition
Predictive analytics case competition project from the Master of Science in Business Analytics course at the College of Business, University of Louisville. Our team analyzed customer response trends for Gourmet Haven, developed a predictive model, and ranked in the Top 5 out of 25 teams.
google-colab jupyter-notebook numpy pandas r scikit-learn
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https://github.com/izhaan0/predict-marks-based-on-study-hours
Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.
data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn
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https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-
As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.
bcgx data-visualization exploratory-data-analysis feature-engineering jupyter jupyter-notebook model-training-and-evaluation numpy pandas random-forest scikit-learn xgboost
Last synced: 19 Aug 2025
https://github.com/jonad/customer_segment
Creating customer segments using unsupervised machine learning algorithm.
clustering clustering-algorithm gaussian-mixture-models jupyter-notebook kmeans-clustering matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/ahmedabdalkreem/naive-bayes
Show what types of naive-bayes and how to use model and deal with data ( Numerical, Categorical and Mixed between Numerical and Categorical )
Last synced: 10 Apr 2026
https://github.com/ialam085/super_store_sales_analysis_python
The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.
charts matplotlib numpy pandas python seaborn visualization
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https://github.com/ksganni/diabetes-prediction-using-machine-learning
🔬 A machine learning project that predicts diabetes likelihood using patient health metrics and multiple classification algorithms.
jupyter-notebook matplotlib numpy pandas python scikitlearn-machine-learning seaborn
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https://github.com/liblaf/array-typing
🧮 Type-safe array operations for NumPy, JAX, and PyTorch
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https://github.com/harmanveer-2546/covid-19-chances-detection
The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.
covid-19 covid-data logistic-regression matplotlib mlp-classifier numpy pandas python random-forest seaborn sklearn-library xgboost
Last synced: 10 Apr 2026
https://github.com/rtmigo/skifts_py
Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy
cosine-similarity information-retrieval numpy python scikit-learn text-mining tf-idf
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https://github.com/csengupta1101/career-survey---data-scientist
This repository holds an in depth analysis of Scrapped data from naukri.com. which showcases in in demand skills and opportunities in Data science across the subcontinent.
analysis career data-science matplotlib naukri numpy pandas python3
Last synced: 07 May 2026
https://github.com/hariprasath-v/machinehack_intel_oneapi_hackathon_the_llm_challenge
Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).
accuracy exploratory-data-analysis extractive-question-answering huggingface machine-learning matplotlib nlp nltk numpy pandas python seaborn sklearn spacy spellchecker wordcloud
Last synced: 10 Apr 2026
https://github.com/rubyyy1118/share-price-analysis
The assignment in my MSc Business Analytics course
data-analysis data-preprocessing data-science data-visualization matplotlib numpy pandas python seaborn
Last synced: 10 Apr 2026
https://github.com/egorumaev/statistics-trainings
matplotlib numpy pandas pil python3 requests scipy seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/mayankmittal29/pagesage-ai_urls_content_scraper_webapp
PageSage is a modular web scraping and semantic retrieval system using BeautifulSoup for extraction, SentenceTransformers for dense embeddings, and ChromaDB for scalable vector search—enabling efficient data indexing for advanced RAG pipelines.
beautifulsoup chromadb fastapi gpt-turbo numpy openai-api python3 question-answering rag react requests sentence-transformers tailwindcss web-scraping
Last synced: 10 Apr 2026
https://github.com/kaladabrio2020/calculusnumerics
Trabalho da cadeira de Métodos Numérico I
metodos-numericos numpy python tkinter-gui
Last synced: 18 May 2026
https://github.com/mpbeatriz/santander_coders_2024
Repositório dos exercícios e projetos do curso de Engenharia de Dados da Ada em parceria com o Santander (em andamento).
apache-kafka apache-spark api data-engineering data-extraction fastapi flask numpy oop pandas python webhooks
Last synced: 10 Apr 2026
https://github.com/rishikesh-jadhav/machine-learning-practice-projects
This repository contains my end to end ML practice projects as a part of the ML zero to mastery course by Daniel Bourke and Andrei Neagoie
classification data-science data-visualization dataanalysis deep-learning hadoop jupyter-notebooks machine-learning neural-network numpy pandas pyspark python pytorch regression scikit-learn supervised-learning tensorflow time-series transfer-learning
Last synced: 10 Apr 2026
https://github.com/beyzabasarir/northwind-traders-analysis
Northwind dataset analysis using PostgreSQL, Python, and Power BI. Focused on sales, customers, shipping, and performance insights.
dashboard data-analysis data-visualization jupyter-notebook matplotlib numpy pandas postgresql powerbi python seaborn
Last synced: 10 Apr 2026
https://github.com/trivediayush/Accident-and-Drowsiness-Detection
Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.
accident-detection accidents-analysis college-project cvzone dlib-face-detection dlib-face-recognition face-detection face-recognition imutils minor-project numpy opencv pandas python python3 yolov8
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https://github.com/oyebamiji-micheal/data-analysis-with-python-zero-to-pandas
This repository contains all assignments and project completed when I took a course, "Data Analysis with Python: Zero to Pandas", on Jovian
data-analysis numpy pandas python
Last synced: 10 Apr 2026
https://github.com/kunalshelke90/wine-quality-testing
This project is about creating a machine learning algorithm that can predict the quality of wine based on the given dataset. Different machine learning algorithms such as logistic regression, decision tree and random forest are used in this project.
eda feature-engineering flask machine-learning numpy pandas python
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https://github.com/ankman007/python-100-days-of-code
Daily logs of my progress and mini-projects made over the course of this challenge
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https://github.com/abideen-olawuwo/fraud-detection
A Fraud Prediction Model
kears logistic-regression matplotlib numpy pandas pickle scipy seaborn sklearn tensorflow
Last synced: 10 Apr 2026
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
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https://github.com/aymen016/cosmic-mystery-challenge-2912
"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"
kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn
Last synced: 10 Apr 2026
https://github.com/prince-pastakiya/human-resources-tableau-project
👥 Interactive Tableau dashboard for HR analytics — includes workforce overview, demographics, income analysis, and detailed employee records with full filtering.
chatgpt data-analysis data-visualization human-resources numpy python python-faker tableau-dashboards tableau-public
Last synced: 18 Apr 2026
https://github.com/sc0v0ne/blueflix
Simple Application Recommend Movies and Tv Shows
csv k-means k-means-clustering kaggle movies numpy pandas python recommends-movies sklearn streamlit
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https://github.com/skywalkersam/python-101
Introduction to Python 3
bootcamp django flask jupyter-notebook matplotlib ml numpy pandas python-bootcamp python-development python-scripting python3 web-scraping
Last synced: 25 Dec 2025
https://github.com/sandyherho/buku_metnum_python
Repositori ini memuat kode dan gambar yang digunakan pada buku "Pengantar Metode Numerik Terapan Menggunakan Python".
belajar-pemrograman belajar-python indonesia indonesian-language matematika-terapan matplotlib metode-numerik numerical-methods numpy python scipy
Last synced: 16 Jan 2026
https://github.com/zenithclown/agine
Library for finding Nearest Neighbor or to find if two points on Earth have a Direct Line of Sight.
bearing bearing-calculations distance-calculation euclidean-distance geometry haversine manhattan-distance nearest-neighbor-search numpy pandas rasterio shapely
Last synced: 28 Jan 2026
https://github.com/yeonjaee/statistics
통계기초 with using python libs
matplotlib numpy pandas statistics
Last synced: 06 May 2026
https://github.com/shubhammittal-data/hr_dashboard_tableau
An interactive HR Analytics Dashboard built using Tableau. Provides insights into workforce demographics, hiring trends, salary analysis, and employee records for data-driven decision-making.
chatgpt4 data data-analysis data-visualization drawio-tools faker-generator hr-analytics hr-analytics-dashboard human-resources numpy python tableau tableau-public
Last synced: 17 May 2026
https://github.com/takaiwai/deep-learning-notes
Documentation of my learning process about deep learning and its math
Last synced: 10 Apr 2026
https://github.com/thiagohrcosta/machinelearning-temperature
A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.
machine-learning numpy pandas python3 scikit-learn
Last synced: 08 Apr 2026
https://github.com/thatguychandan/adoptimization
This project implements an ad optimization system using a hybrid approach combining Thompson Sampling and Upper Confidence Bound (UCB) algorithms. The system learns to select the most effective ads based on user context and historical performance.
numpy pandas plotly python pytorch reinforcement-learning scikit-learn streamlit thompson-sampling upper-confidence-bound
Last synced: 10 Apr 2026
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: 10 Apr 2026
https://github.com/sujal2004/stock-analysis-project
Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
jupyter-notebook matplotlib numpy pandas python stock-market
Last synced: 10 Apr 2026
https://github.com/s0fft/learning-lab
Code Notes & Test-Learn // Micro Pet-Projects: Python / Asynchrony / FastAPI / Django-Tastypie / DRF / Parsing / Telegram-Bot / SQL / Docker / DS / ML / etc.
asynchrony data-science django-rest-framework docker fastapi jupyter-lab jupyter-notebook mashine-learning matplotlib notes numpy pandas parsing python3 scikit-learn seaborn sql sqlalchemy tastypie telegram-bot
Last synced: 10 Apr 2026
https://github.com/kostadinlambov/algorithmic-trading-bot
The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).
lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost
Last synced: 05 Apr 2026
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: 09 Apr 2026
https://github.com/abideen-olawuwo/airline-twitter-sentiment
A sentimental review on airline
numpy pandas python random-forest-classifier seaborn sklearn svm-classifier
Last synced: 10 Apr 2026
https://github.com/ravi-aratchige/spacefarer
What type of astronaut would you be?
astronaut astronauts flask jupyter jupyter-notebook machine-learning numpy pandas python scikit-learn space tailwind tailwindcss
Last synced: 10 Apr 2026
https://github.com/roaajadaa/text-classification
Classify documents using custom naïve bayes model
matplotlib nlp nltk numpy pandas python sklearn
Last synced: 10 Apr 2026
https://github.com/sumanth44a/predicting-customer-churn-in-telecommunication
Predicting-Customer-Churn-In-Telecommunication
decision-trees matplotlib numpy pandas python random-forest
Last synced: 10 Apr 2026
https://github.com/lorenzorottigni/ml-iris-svm
Machine Learning python bootcamp: Support Vector Machines on iris flower dataset
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Last synced: 10 Apr 2026
https://github.com/gaball1/alzheimer-prediction-ai
Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .
ai data-mining gradient-boosting jupyter-notebook logistic-regression logistic-regression-algorithm machine-learning matplotlib-python models numpy pandas python random-forest-classifier streamlit xgboost-classifier
Last synced: 11 Apr 2026
https://github.com/lfgodoi/rpm-deep-estimator
A deep learning-based RPM estimator based on spectral features extracted from vibration signals of rotating machines.
condition-monitoring deep-learning docker flask neural-networks numpy python scipy signal-processing spectral-analysis
Last synced: 26 Feb 2025
https://github.com/bharath-tars/deeptumor
DeepTumor is a project aimed at developing a deep learning model with over 1 million parameters using TensorFlow. with automatic reporting feature
keras machine-learning numpy pandas pyhton tensorflow webdevelopment
Last synced: 10 Apr 2026
https://github.com/theanujsinha01/seoul-bike-sharing-demand-prediction
This project predicts the demand for bike-sharing services in Seoul using machine learning algorithms. It utilizes historical data and environmental factors to provide accurate predictions that can aid in resource optimization and planning.
data-cleaning data-science exploratory-data-analysis feature-engineering jupyter-notebook machine-learning matplotlib model numpy pandas seaborn
Last synced: 10 Apr 2026