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/hanzopgp/randomkagglesolving
Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.
artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib numpy personal tensorflow
Last synced: 04 May 2026
https://github.com/siddhi-c19/tourism_sid_tournaut
A comprehensive analysis of tourism data of various countries
data-science dataset mathplot mathplotlib numpy plotly statistics streamlit
Last synced: 06 May 2026
https://github.com/athul64/tmdb-dataset-analysis
This data set contains information about 10,000 movies extracted from TMDB. The dataset contains movies from 1960 to 2015. Including user ratings and revenue. Original data from Kaggle.
data-visualization dataframe eda numpy pandas python
Last synced: 14 Apr 2026
https://github.com/djdhairya/car-parking-detection
cnn cv2 deep deep-learning epoch flask keras numpy numpy-arrays opencv pickle tensorflow
Last synced: 13 Apr 2026
https://github.com/dyrits/parite
OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON
matplotlib numpy pandas python
Last synced: 04 May 2026
https://github.com/sproc01/alcuinproblem
A resolver for a generic Alcuin problem
alcuin cplex cplex-optimization-solver graph matplotlib mip networkx numpy operations-research optimization pandas pyomo python python3 seaborn
Last synced: 09 Apr 2026
https://github.com/ljadhav25/data-engineering-poc
This repository contains a beginner-level Data Engineering Proof of Concept (POC) project designed for practice. The objective is to provide hands-on experience with data engineering concepts, including data extraction, transformation, loading (ETL), and basic data analysis. This project is ideal for those looking to build foundational skills in da
data-analysis etl matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/cezlul/analyse-ventes-immobilier
Solution ML d'analyse immobilière parisienne : classification automatique appartements vs commerces (K-means, 91%) et prédiction prix (régression, R²=0.98) sur 26K transactions. Valorise portefeuille 169M€ avec recommandations stratégiques data-driven.
data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python sklearn
Last synced: 13 Apr 2026
https://github.com/szymon-budziak/fundamentals_of_deep_learning
Fundamentals of Deep Learning NVIDIA course.
deep-learning machine-learning numpy nvidia pandas python tensorflow
Last synced: 10 Apr 2026
https://github.com/alphan26/optimal-logistics-locator
This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India
numpy pandas python sckit-learn
Last synced: 04 May 2026
https://github.com/ryan-bendelson/2024-summer-research
This is Python code that I worked with during my summer 2024 research project involving quantum physics.
density-matrices kronecker-product linear-algebra miniconda3 numpy numpy-arrays partial-trace python quantum-information
Last synced: 16 Apr 2026
https://github.com/munawar-code/car_price_predictor
This project is a ML-based car price prediction system. The model is built using Jupyter Notebook for training and evaluation, while a simple one-page website was developed using Pycharm to provide interface for users to input car details and get price predictions.
datapreprocessing datavisualization exploratory-data-analysis feature-engineering flask-application html-css-javascript linear-regression machine-learning-algorithms matplotlib numpy pandas python scikitlearn-machine-learning
Last synced: 13 Apr 2026
https://github.com/bbhargavpanchal/brain-tumor-segmentation-unet
U-Net based Convolutional Neural Network for brain tumor segmentation using MRI images. Implemented in Python with TensorFlow, OpenCV, and Scikit-learn.
keras-tensorflow numpy opencv pandas python scikit-learn sklearn tensorflow
Last synced: 13 Apr 2026
https://github.com/oleksiilatypov/titanic_ml
Titanic Survival Prediction using ML and Flask Deployment.
data-science docker flask machine-learning numpy pandas skit-learn
Last synced: 13 Apr 2026
https://github.com/danhenriquex/data_science_and_machine_learning
A.I, Data Science & Machine Learning and Deep Learning with Tensorflow
deep-learning deep-neural-networks machine-learning matplotlib numpy pandas tensorflow
Last synced: 13 Apr 2026
https://github.com/asuquoaa/applied_data_science_with_python_study
Notes, codes and practicals on the Applied Data Science with Python specialization by UM
matplotlib numpy pandas seaborn
Last synced: 04 May 2026
https://github.com/jkosla/neural_network_from_scratch_numpy
Neural Network From Scratch in Python | Build a simple neural network from scratch using pure Python and NumPy. Learn about forward propagation, backpropagation, and training with gradient descent. Accompanies my Medium article.
ai aritificial-intelligence medium nerual-networks numpy python3 tutorial
Last synced: 10 Apr 2026
https://github.com/kaungkhantkyaw1997/face_recognition
A Computer Vision tool designed to identify and recognize characters in images.
face-recognition flask numpy opencv
Last synced: 05 May 2026
https://github.com/pedasoft-consult/multi_class_text_classification
Multi-Class Text Classification for News Headlines
keras matplotlib-pyplot nltk numpy pandas seaborn sklearn tensorflow
Last synced: 09 Apr 2026
https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage
Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations
Last synced: 09 May 2026
https://github.com/pratyush905/farecast-nyc-taxifare-predictor
Machine learning models to predict nyc taxi fare based on given dataset
jupiter-notebook kaggle machine-learning matplotlib numpy python regression-models scikit-learn
Last synced: 13 Apr 2026
https://github.com/abideen-olawuwo/frauddetection
A credit card Fraud Detection Model
logistic-regression matplotlib numpy pandas python seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/anshpg/linearluminary
Greetings! I've developed a straightforward linear regression model from scratch to predict house prices in Bangalore. But before delving into coding, let me walk you through the algorithm's conceptualization. I considered various factors such as location, ocean proximity, plot size, finished state, and flat type.
algo linea mathematics matplotlib numpy pandas pyth
Last synced: 13 May 2026
https://github.com/dmarks84/coursework_project_text-mining-topic-modeling
Project for University of Michigan Applied Data Science Specialization -- Developed functions to score similarity between text passages.
data-modeling data-reporting data-visualization databases eda nlp numpy pandas python statistics text-mining
Last synced: 12 Apr 2026
https://github.com/pinedah/sleep-data-analysis-exercise
Análisis de un dataset médico sobre el sueño, explorando duración, calidad y factores relacionados. Incluye limpieza de datos, EDA y visualizaciones con Python (pandas, numpy, matplotlib, seaborn, scipy).
data-analysis data-science escom numpy pandas python school-project scipy
Last synced: 13 Apr 2026
https://github.com/michaelzheng67/real_estate_ml
AI experiment developed to run against simulated real estate and investing environment
Last synced: 09 May 2026
https://github.com/evan-dg31/data-science
Exploratory Data Analysis (EDA), Predictive Modeling (Supervised and Unsupervised), Regression, Classification, Clustering
classification clustering data-analysis data-science data-visualization machine-learning matplotlib numpy pandas python regression-analysis seaborn
Last synced: 13 Apr 2026
https://github.com/danaelshrbiny10/gold-prices
The Egypt Gold Prices project is a data analysis and visualization initiative that focuses on tracking and understanding the daily gold prices in Egyptian pounds per gram.
data-visualization docker docker-compose matplotlib mongodb numpy pandas powerbi python3 webscraping
Last synced: 13 Apr 2026
https://github.com/aniruddhakhedkar/eda_for_chinese_automotive_company_teclov_chinese
Exploratory_Data_Analysis_Python_Project_1
datavisualization duplicate-detection imputation-methods numpy outlier-removal pandas seaborn statistical-analysis
Last synced: 10 Apr 2026
https://github.com/farhad-here/median-performance-comparison
Benchmarking the performance of median calculation using vanilla Python vs NumPy.
data-analysis matplotlib numpy python
Last synced: 18 Apr 2026
https://github.com/debjyotisaha/data-analytics-projects-phase-1
A set of projects on Data Analysis using Python and its libraries
matplotlib numpy pandas python seaborn sklearn streamlit
Last synced: 13 Apr 2026
https://github.com/badranalyst/tips-dataset-analysis-dashboard-with-streamlit-and-plotly
Interactive Streamlit dashboard analyzing the Seaborn 'tips' dataset, which records information on restaurant bills, including total bill amounts, tips, customer demographics (e.g., gender, smoking status), and dining details (e.g., day, time). Visualized with Plotly for insights into tipping patterns.
data-analysis data-analytics data-visualization dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn streamlit
Last synced: 13 Apr 2026
https://github.com/annygutierrez/bank-ann
Basic Artificial Neural Network
keras matplotlib numpy pandas sklearn
Last synced: 13 Apr 2026
https://github.com/anujdutt9/language-model-using-rnn
Text Generation using basic RNN from scratch using Python and Numpy.
language-model numpy python rnn text-generation
Last synced: 08 May 2026
https://github.com/somyaaaaaa2004/travelling-sales-man-problem
This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial
genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem
Last synced: 06 May 2026
https://github.com/snigdho8869/clustering-projects
Repository for various clustering projects including mall customer segmentation and more. Explore data analysis and clustering techniques
cluster-analysis clustering clustering-algorithm customer-segmentation deep-learning gaussian-mixture-models hierarchical-clustering hierarchical-models kmeans-algorithm kmeans-clustering machine-learning mall-customer-segmentation mall-customers numpy pandas scikit-learn segmentation spectral-clustering tensorflow
Last synced: 10 Apr 2026
https://github.com/lin826/nanogpt-demo
Training and finetuning local GPTs.
gpt nanogpt numpy pytorch tqdm transformers
Last synced: 05 May 2026
https://github.com/harmanveer-2546/prediction-of-ticket-cancellation
The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.
datetime evaluation gridsearchcv labelencoder numpy pandas standardscaler stratified-k-fold train-test-split xgboost-model
Last synced: 04 May 2026
https://github.com/jol79/python_exercises
Solving interesting python exercises on different topics
matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/patilsukanya/assignment-3-hypothesis-testing
Used libraries and functions as follows:
alternate-hypothesis annova chi2-contingency contingency-analysis ftest hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas pvalue python scipy significance-testing stats
Last synced: 10 Apr 2026
https://github.com/shivammg/coursera-ml-numpy
Coursera Machine Learning course done using Python, NumPy, and Seaborn
machine-learning numpy python seaborn
Last synced: 09 May 2026
https://github.com/vijaykumarr1452/startup_success_predictor
This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)
machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn
Last synced: 10 Apr 2026
https://github.com/unvercan/activation-function-comparison-pytorch
Comparison of common activation functions on MNIST dataset using PyTorch.
activation-functions dataset deep-learning image-classification machine-learning matplotlib mnist neural-network numpy python pytorch relu sigmoid tanh
Last synced: 13 Jun 2025
https://github.com/pnguyen215/pycelize
Pycelize is a Flask application designed for processing Excel and CSV files. It provides RESTful APIs for common data operations including extraction, normalization, mapping, SQL generation, and file binding.
excel lib numpy openpyxl pandas py-app pycelize python-service python3
Last synced: 17 Jun 2026
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: 10 Apr 2026
https://github.com/vedanty3/supermarket-sales-data-analysis
This project contains data visualization techniques (using pandas and matplotlib) to explore different aspects of supermarket sales data of 3 months.
data-analysis data-science jupyter-notebook matplotlib numpy pandas python
Last synced: 08 May 2026
https://github.com/vladd12/machine-learning-practice
Репозиторий для учебной практики и различных курсов, связанных с ИИ
json keras-tensorflow machine-learning numpy pandas pickle tensorflow2 torch xml
Last synced: 05 May 2026
https://github.com/bhaskarkulshrestha/rock-vs-mine-prediction
A machine learning project to predict whether an object detected underwater is a rock or a mine using Logistic Regression.
colab-notebook logistic-regression machine-learning numpy pandas python sckit-learn supervised-learning
Last synced: 05 May 2026
https://github.com/prowilliam/maze_generator
A maze generator is created where you can modify its dimensions and shows a red route where it describes the solution of the maze, and it is exported in png format
Last synced: 28 Apr 2026
https://github.com/alex1iv/asr_ru_numbers
Automatic Speech Recognition (ASR) system for Russian digits
audio-processing librosa numpy speech-recognition tensorflow
Last synced: 13 Apr 2026
https://github.com/alepm1990/nba-analytics
Análisis y trabajos en Python con BBDD deportivas
matplotlib-pyplot numpy pandas pyhon python3 seaborn
Last synced: 05 May 2026
https://github.com/zvdy/movie_recommendation
Movie Recommendation Search Engine using Jupyter Notebooks, Pandas, Nnmpy, SciKit Learn, IPyWidgets
data-science jupyter-notebook machine-learning numpy pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/raduldev/datasciencepython
Interview Task From CSIR-IGIB, Delhi & maps for journal
biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/amruta33/housing_price_prediction
Consider a real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc.
linear-regression numpy pandas python rfe vif
Last synced: 28 Apr 2026
https://github.com/suresh-28/weather-forecasting-using-machine-learning
Weather Forecasting using machine Learning in python
csv-files jupyter-notebook machine-learning ml numpy pandas-dataframe prediction python
Last synced: 13 Apr 2026
https://github.com/jessicahora/series_temporais
Análise de Series Temporais do Consumo de Energia da Alemanha.
numpy pandas python time-series-analysis
Last synced: 07 Apr 2026
https://github.com/naveen88112/clustering_customer_invoice_data
Customer Invoice Data Clustering This project uses clustering methods on customer invoice data for segmentation analysis. It preprocesses data, normalizes features, and uses K-Means and DBSCAN to cluster customers according to spending habits and shared locations.
clustering data-preprocessing data-visualization numpy pandas python silhouette-score standardization
Last synced: 13 Apr 2026
https://github.com/amruta33/heart_disease_prediction
predict whether a person has a heart disease or not.
classification decision-trees gridsearchcv heart-disease hyperparameter-tuning male-female numpy pandas
Last synced: 30 Mar 2025
https://github.com/saifalibaig/covid-19-infection-rate-analysis-using-python
Analysis of Covid-19 Infection rate and the world happiness report to identify if there is any relationship between infection rate and happiness
data-analysis data-visualization jupyter-notebook numpy pandas python3 sns
Last synced: 18 Apr 2026
https://github.com/bhanuprakashnani/scit-tasks
Tasks for the SCIT Work Shop.
Last synced: 25 Apr 2026
https://github.com/alphacrypto246/old-car-price-prediction
The Old Car Price Prediction project predicts used car prices using features like age, mileage, and fuel type. It includes data preprocessing, model training, and visualization of trends, with easy customization for additional features or models.
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 09 Apr 2026
https://github.com/max134/deepplate
A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.
computer-vision cv2 deep-learning image-recognition licesnse-plate-recognition numpy object-detection ocr paddleocr real-time-processing sqlite3 ultralytics yolov11
Last synced: 13 Jul 2025
https://github.com/tatmorenno/python_para_data_science
Python para Data Science Introdução à linguagem e Numpy 🌎💻
Last synced: 13 Apr 2026
https://github.com/subhas-pramanik-09/car-detection-and-counting
This project counts the number of cars passing through a designated line in a video file using OpenCV and background subtraction techniques.
machine-learning numpy object-detection opencv
Last synced: 13 Apr 2026
https://github.com/reshmaaiman/fifa
FIFA20
data data-science data-visualization dataanalysisusingpython github jupyter-notebook matplotlib numpy pandas python seaborn-python
Last synced: 10 Apr 2026
https://github.com/smirnovlad/data-science-notebooks
A collection of various data analysis approaches
data-science deep-learning kaggle machine-learning numpy pandas pytorch
Last synced: 10 Apr 2026
https://github.com/tnleite/loan-approval-prediction
Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.
classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier
Last synced: 13 Apr 2026
https://github.com/broodhoney/heart-disease-prediction
This is a machine learning project which has a trained model that classifies whether a patient has a heart-disease or not.
kaggle-dataset matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning uci
Last synced: 10 Apr 2026
https://github.com/tomdewildt/interactive-and-explainable-ai-design
Code for The Interactive And Explainable AI Design course of my master's degree
jupyter lime numpy pandas python scikit-learn shap
Last synced: 18 Jun 2026
https://github.com/sunnyrao07/stroke-risk-prediction
Predicting stroke risk using machine learning models based on healthcare and demographic data.
data-cleaning data-visualization decision-trees feature-engineering label-encoding matplotlib model-evaluation numpy outlier-detection pandas python random-forest scikit-learn seaborn standard-scaler
Last synced: 10 Apr 2026
https://github.com/msikorski93/Linear-Regression-From-Scratch
Different solutions of linear and polynomial regression made from scratch.
from-scratch gradient-descent linear-regression numpy ordinary-least-squares polynomial-regression tensorflow
Last synced: 27 Apr 2025
https://github.com/yipjunkai/pyvolr
Modern Black-Scholes-Merton pricing, Greeks, and implied volatility for Python. Rust core. Drop-in replacement for the abandoned py_vollib.
black-scholes black-scholes-merton greeks implied-volatility maturin numpy options options-pricing py-vollib pyo3 python quant quantitative-finance rust
Last synced: 30 May 2026
https://github.com/harmanveer-2546/credit-card-fraud-detection
The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.
ann catboost-classifier eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xbg
Last synced: 13 Apr 2026
https://github.com/chmohit91/introduction-to-python
A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners
matplotlib numpy pandas plotly python python-library python3 seaborn
Last synced: 13 Apr 2026
https://github.com/tromesh/attendance-predictor
Student Attendance predictor for Scheduling lecture sessions
matplotlib numpy pandas tensorflow
Last synced: 05 May 2026
https://github.com/themusharraf/loan-predictor
fastapi jobl ml numpy pandas sckiit-learn
Last synced: 13 Apr 2026
https://github.com/dineshdhamodharan24/amazon-reviews-sentiment-analysis
This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.
matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/ivangael/image-toolbox-backend
api-rest flask numpy opencv python tensorflow
Last synced: 28 Apr 2025
https://github.com/falakjatin/face-recognition
This is my final year project of engineering. It might not work because its not maintained.
haarcascade-frontalface numpy opencv pandas python3
Last synced: 13 Apr 2026
https://github.com/nitish2773/food-delivery-delay-analyzer
matplotlib-pyplot numpy pandas python3 scipy-stats seaborn
Last synced: 30 May 2026
https://github.com/ifte-13/early-stage-brain-stroke-detection
Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm
decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn
Last synced: 06 Jul 2025
https://github.com/sadegh-khedry/titanic-survival-prediction
Predicting Titanic survival using neural networks.
conda-environment jupyter-notebook kersa matplotlib numpy pandas python seaborn sklea supervised-learning tensorflow titanic-kaggle
Last synced: 10 Apr 2026
https://github.com/harmanveer2546/recognizing-digits
I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.
dense flatten gui keras maxpooling mnist numpy pandas pillow python sequential
Last synced: 13 Apr 2026
https://github.com/towaquimbayo/comp-4948
BCIT Computer Systems Technology (CST) - COMP 4948 (Predictive Machine Learning)
feature-selection keras matplotlib numpy pandas predictive-analytics predictive-modeling python pytorch regression scikit-learn sklearn statsmodels tensorflow
Last synced: 13 Apr 2026
https://github.com/iv4n-ga6l/Simple-Image-Segmentation
Simple implementation of image segmentation using the Watershed algorithm
imagesegmentation matplotlib numpy opencv python watershed-algorithm
Last synced: 28 Apr 2025
https://github.com/iv4n-ga6l/Crowd-move-simulation
Crowd move simulation in python
matplotlib numpy python simulation
Last synced: 28 Apr 2025
https://github.com/roaajadaa/car-price-prediction
Use different models to predict car prices using web scraping
beautifulsoup data-visualization loss-functions machine-learning machine-learning-algorithms numpy pandas pickel preprocessing python sklearn
Last synced: 13 Apr 2026
https://github.com/huggon1/ml-algorithm-implementations
Educational implementations for ML, DL, LLM blocks, ViT, and CUDA.
cuda machine-learning numpy pytorch vision-transformer
Last synced: 28 Jun 2026
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 Apr 2026
https://github.com/farial-mahmod/nuclear-energy-generation-prediction-logistic-regression
Nuclear Energy Generation Prediction Logistic Regression project is aimed at predicting the nuclear energy generation based on the production (generation) data from 1991 to 2023 by using Logistic Regression.
energy kaggle logistic-regression machine-learning matplotlib nuclear-energy nuclear-power numpy power python3 sklearn
Last synced: 05 May 2026
https://github.com/arjunravi26/selenium
This repository contains code from my learning about Selenium for web scraping and automation.
numpy python selenium time undetected-chrome webdriver
Last synced: 09 May 2026
https://github.com/kbunwong/stock-price-prediction-using-lstm
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
google-colab jupyter-notebook keras-tensorflow lstm-model machine-learning matplotlib numpy pandas python visualization yfinance
Last synced: 05 May 2026
https://github.com/intscription/machine-learning
Machine Learning and it's advance concepts
adaboost numpy pandas pca-analysis pipeline random-forest scikit-learn svm
Last synced: 28 Apr 2026
https://github.com/adityakumarda/kmeans-web-analytics
Built with Python, Pandas, and Scikit-learn, this machine learning project uses K-Means to cluster website users by behavior. It reveals patterns in engagement and bounce, helping drive data-informed decisions.
cluster-analysis elbow-curves elbow-method elbow-plot jupyter-notebook kmeans-clustering machine-learning matplotlib numpy pandas python python3 relationship scikit-learn seaborn sklearn
Last synced: 10 Apr 2026