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/carlescn/snake_game
An implementation of the classic Snake game using Pygame and NumPy.
numpy pygame python snake-game
Last synced: 09 Nov 2024
https://github.com/doga0/company-management-system
Company Management System with usage of OpenCV, PyQt5 and MongoDB
desktop-app face-detection face-recognition gui mongodb numpy opencv pyqt5 python
Last synced: 05 Nov 2024
https://github.com/jonad/titanic_survival
Basic decision tree model for Titanic dataset. Predict who will survive.
jupyter-notebook matplotlib numpy pandas python3 titanic-survival-prediction
Last synced: 07 Nov 2024
https://github.com/xiaohaoo/machine-learning-examples
机器学习使用不同框架的常见模型的例子
keras matplotlib numpy python pytorch sklearn tensorflow
Last synced: 06 Nov 2024
https://github.com/huangcongqing/python-libraries
python库(numpy,pandas...)学习
matplotlib numpy pandas python3 xgboost
Last synced: 28 Oct 2024
https://github.com/allanreda/telco-customer-churn-predictor-app
A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.
app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn
Last synced: 07 Nov 2024
https://github.com/niel0503/probabilidade-e-amostragem
Desafio desarrollado para el bootcamp de WoMakersCode
estadistica matplotlib numpy pandas stats
Last synced: 31 Oct 2024
https://github.com/raghulrajn/machine-learning-d-r-y
This repository contains quick python scripts that are repeatedly used in EDA on dataset
data-science numpy pandas python
Last synced: 05 Nov 2024
https://github.com/thaisgarcia/convert-censo-file
Este repositório contém scripts Python para processar dados destinados ao censo do MEC, incluindo a leitura de um arquivo TXT, a geração de um arquivo Excel e a conversão desse arquivo Excel de volta para um formato de texto.
Last synced: 12 Nov 2024
https://github.com/elon-fask/nlp_num1
Natural Language Processing with Disaster Tweets
ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing
Last synced: 07 Nov 2024
https://github.com/manikantasanjay/emotion_prediction_kaggle_cnn
Real time Facial Emotion Recognition System with CNN Model Architecture making use of Transfer Learning, Data Augmentation, and Regularization Techniques.
cnn convolutional-neural-networks dataset deep-learning jupyter-notebook matplotlib numpy pandas python3 pytorch transfer-learning
Last synced: 05 Nov 2024
https://github.com/armahdavi/analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1
PhD Technical Paper 1 - Phase 1 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
matplotlib numpy pandas pandas-dataframe pyplot python scipy-stats sklearn
Last synced: 12 Nov 2024
https://github.com/hayatiyrtgl/data_analysis_project
Financial data analysis: preprocess, visualize, calculate technical indicators.
data-analysis data-analysis-python data-science dataframe numpy pandas python python3 stock-price-prediction talib trade-analysis
Last synced: 05 Nov 2024
https://github.com/armahdavi/code-data-analytics-pipelines-statistics-ml-pm-psd_residential-qff
Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782
data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics
Last synced: 12 Nov 2024
https://github.com/chandkund/ev-market-segmentation
This project focuses on segmenting the Electric Vehicle (EV) market in India to identify key customer groups based on their preferences, behaviors, and demographics.
machine-learning matplotlib numpy pandas seaborn sklearn visualization
Last synced: 31 Oct 2024
https://github.com/paulo-santos-ds/llm
Um aplicativo web simples de tradução que converte texto do português para o inglês, construído com Streamlit e Google Translator
deeptranslate googletranslate numpy pyngrok python streamlit
Last synced: 05 Nov 2024
https://github.com/moritzsalla/cci-advanced-visualization
Classwork for Mick Grierson's module at the Creative Computing Institute
matplotlib numpy openframeworks python tensorflow
Last synced: 06 Nov 2024
https://github.com/armahdavi/analytics-data-pipelines-statistics-ml-plotting---dust-extraction-hvac-filters---phase-2
PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics
Last synced: 12 Nov 2024
https://github.com/quocanh189/sentiment_analysis_eventhub
This project implements a Sentiment Analysis model using a neural network architecture built with Keras. The model classifies text into binary sentiment categories (positive or negative) by leveraging word embeddings and Gated Recurrent Units (GRU) layers. Additionally, the project includes a simple Flask web application to provide a real-time sent
docker flask nlp-machine-learning numpy pandas sentiment-analysis tensorflow
Last synced: 05 Nov 2024
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: 31 Oct 2024
https://github.com/tsar123/neutral-single-nucleotide-polymorphisms-analysis
analysis of data on neutral single nucleotide polymorphisms
dna-polymorphism matplotlib numpy pandas seaborn snv
Last synced: 31 Oct 2024
https://github.com/saksham-21/data_analysis-on-hindustan-times-
Performed a proper NLP based analysis from the headlines, date published and the category of the news. Moreover created a interactive Dashboard on Tableau
beautifulsoup matplotlib numpy pandas tableau
Last synced: 12 Nov 2024
https://github.com/rajaditya01/refactored_py_ds_ml_bootcamp
Learning ML
deep-learning eda machine-learning numpy pandas python static
Last synced: 08 Nov 2024
https://github.com/danielpancake/mlml
my little machine learning library written in NumPy
Last synced: 30 Oct 2024
https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis
This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R
classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow
Last synced: 13 Nov 2024
https://github.com/adi3042/credit-card-fault-detection
🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech
classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv
Last synced: 08 Nov 2024
https://github.com/jayanthsd2003/dms_sarathi_-driver-monitoring_system-
This is a project which can be seen on TATA Trucks and other premium edition cars based and focussed on the safety and monitoring driver Consciousness state
dlib dlib-face-detection numpy opencv-python pygame python pyttsx3 scipy
Last synced: 30 Oct 2024
https://github.com/alejandro945/insurance-risk
This project aims to predict the risk of insurance claims using a dataset from Kaggle. The dataset consists of 26 columns and 205 rows, providing various features related to insurance risk. By analyzing this data, we seek to build predictive models that can help insurers assess the risk of claims.
data-analytics ipython-notebook numpy pandas python
Last synced: 11 Oct 2024
https://github.com/guybanbo/qr-algorithm
QR alogrithm for finding eigenvalues and eigenvectors of a large symmetric matrix
haskell hmatrix numpy optimization python qr-algorithm symmetric-matrix
Last synced: 31 Oct 2024
https://github.com/djdhairya/parkinson-s-disease-detection
datapreprocessing machine-learning modeling numpy pandas scikit-learn svm
Last synced: 10 Nov 2024
https://github.com/shahaba83/airplane-ticket-cancellation
In this project, we try to predict the possibility of canceling the plane ticket by the buyer
datatime numpy pandas python scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/adesoji1/food-image-classification
Food Image Classification using TensorFlow: A deep learning model to classify various food items using TensorFlow and CNNs.
colab-notebook hyperparameter-optimization hyperparameter-tuning keras-tensorflow matplotlib-pyplot numpy pandas pillow python3 pytorch regularization tensorflow transfer-learning transformer
Last synced: 30 Oct 2024
https://github.com/hadson0/dip-candy-classification
Candy classification project using digital image processing. Includes dataset creation, model development, and evaluation tools with TensorFlow, OpenCV, and Albumentations. Complete setup and instructions provided for building and training the model.
albumentations bounding-boxes cnn computer-vision cvat image-classification image-processing keras machine-learning matplotlib numpy opencv python seaborn sklearn tensorflow
Last synced: 26 Sep 2024
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: 30 Oct 2024
https://github.com/bineet-ratna-shakya/data-science-salary-analysis
analyzing a dataset containing salaries of data science professionals from 2020 to 2023.
data-analysis data-science data-visualization jupyter numpy pandas python
Last synced: 11 Oct 2024
https://github.com/marvin-vw/3dengine
3D engine written in Python using OpenCV and NumPy
Last synced: 26 Sep 2024
https://github.com/cmdecker95/neural_net_from_scratch
A ground-up Python implementation of an artificial neural network, using NumPy and good math.
machine-learning neural-network numpy python scratch-implementation
Last synced: 04 Nov 2024
https://github.com/zhanziyuan/pixelpuzzle
Encode/decode images using Base64 or shuffle/recover the pixels of images.
anime encryption image image-processing numpy python
Last synced: 10 Nov 2024
https://github.com/aishwaryagm1999/aircraft-network-security-using-yara-rules-and-machine-learning-for-threat-detection-and-prevention
This project addresses cybersecurity in aviation by developing a machine learning-enhanced intrusion detection and prevention system (IDPS) for aircraft networks. Combining YARA-based signature detection with behavior-based (ML) anomaly detection, the system mitigates cyber threats in real-time, protecting aircraft from sophisticated attacks.
argus automation cybersecurity feature-hashing idps joblib machine-learning matplotlib networking numpy pandas python random-forest-classifier requests seaborn shell smote smotesmote tshark yara
Last synced: 04 Nov 2024
https://github.com/omarsaad21/rfm-clustering-
A full Data science and deployment project focusing on Data analysis and ML ( create a customer segmentation model to recommend the best merchants for each user as targetted offers)
business-solutions data-science eda numpy pandas plotly python sickit-learn streamlit
Last synced: 04 Nov 2024
https://github.com/omarsaad21/shopping-cart-eda
An EDA python project focusing on getting the most out of a movies dataset (- 1- combine this data together - 2- check messing values - 3- show summary statistics - 4- deal with date time and extract features from dates - 5- answer at least three questions from this data)
eda jupyter-notebook numpy pandas plotly python
Last synced: 04 Nov 2024
https://github.com/hossein-cod/deep-learning-for-training
Analysi hear disease data set with deep learning
accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow
Last synced: 11 Oct 2024
https://github.com/omarsaad21/it-salary-eda
A python EDA project implemented on IT department salaries data we made data exploration and made data visulization for some questions on dataset
data explotary-data-analysis juypter-notebook numpy pandas python visualization
Last synced: 04 Nov 2024
https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods
This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.
ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost
Last synced: 31 Oct 2024
https://github.com/merekat/ml-shortcut-library
A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development.
cnn coding data-science deep-learning efficiency extension extensions fnn machine-learning machinelearning nlp numpy pandas python scikit-learn shortcut shortcuts tensorflow visual-studio visual-studio-code
Last synced: 05 Nov 2024
https://github.com/mairagalvao/final_grades
An analysis of the final grades of students using Python
matplotlib numpy pandas python3
Last synced: 08 Nov 2024
https://github.com/rubaramanan/irisclassifier_with_scikitlearn
iris-classification machine-learning numpy pandas scikit-learn
Last synced: 06 Nov 2024
https://github.com/rubaramanan/irisclassifierwith_keras
iris-classification keras numpy pandas
Last synced: 06 Nov 2024
https://github.com/thkox/uni_2023-compression-and-object-removal
This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
2023 6th-semester colorama compression-algorithm department-of-informatics heapq lossless-compression-algorithm motion-compensation multimedia-systems numpy object-removal opencv-python pickle python scipy-stats university-of-piraeus
Last synced: 03 Nov 2024
https://github.com/mobinabatebi/electricity_consumption_project
The project aimed at estimating electricity consumption in administrative offices, along with analyzing the impacts of such consumption on power outages, is critical for addressing the pressing issue of summer electricity shortages.
jupyter-notebook numpy pandas python
Last synced: 26 Sep 2024
https://github.com/badranalyst/movie-correlation-analysis-in-python
This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.
data data-analysis dataset jupyter jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python seaborn
Last synced: 03 Nov 2024
https://github.com/afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge
backprop backpropagation classification classifier data forest kaggle layer learn mlp multi numpy pandas perceptron random science scikit sklearn titanic
Last synced: 30 Oct 2024
https://github.com/avik-pal/kaggle-titanic
Predicting whether a given set of people survive on the Titanic
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 12 Oct 2024
https://github.com/breadrock1/ml-labs
Machine Learning. There is a suite of Machine Learning laboratory tasks.
classification knn knn-classification machine-learning nlp nlp-machine-learning numpy pandas pandas-dataframe python python3 random-forest regression scikit-learn-python skele trees
Last synced: 11 Nov 2024
https://github.com/pedrosfaria2/analisetitulosnetflix
Estudo de popularidade dos filmes da Netflix no IMDB.
analise-de-dados data-analysis jupyter-notebook matplotlib numpy pandas python
Last synced: 09 Nov 2024
https://github.com/aliakbar-omidi/ten-most-populous-cities-of-iran
This project is to show the densely populated cities of Iran on the map
basemap matplotlib numpy pandas python
Last synced: 05 Nov 2024
https://github.com/jcardonamde/food-sales-predictions
A project that seeks to predict the sales of a food distributor by applying machine learning algorithms and data analysis.
data-science machine-learning machine-learning-algorithms numpy pandas pipelines python seaborn sklearn
Last synced: 05 Nov 2024
https://github.com/hansalemaos/a_pandas_ex_horizontal_explode
Explode list/tuples in columns
dataframe dataframes list numpy pandas python series tuple
Last synced: 30 Oct 2024
https://github.com/hansalemaos/numpy_choices
Some useful np.random functions
Last synced: 30 Oct 2024
https://github.com/newsoftwareculture/datascience
jupyter-notebook keras-tensorflow numpy object-detection opencv pandas python3 tensorflow
Last synced: 30 Oct 2024
https://github.com/varuntotakura/face-recognition
My own code for Face Recognition using Python
face-recognition numpy opencv python tensorflow
Last synced: 13 Nov 2024
https://github.com/cuuupid/better-tensorflow
MNIST classifier api
graph-model machine-learning neural-network numpy pickle sigmoid
Last synced: 30 Oct 2024
https://github.com/gabboraron/python_nyelvtan
Egy python nyelvi elemekkel fogallkozó kurzus jegyzete.
ai matplotlib-pyplot numpy pandas
Last synced: 01 Nov 2024
https://github.com/jmromer/warbler
A recommendation engine powered by scikit-learn and served by Flask.
flask flask-api numpy pandas python3 scikit-learn
Last synced: 13 Nov 2024
https://github.com/krichelj/dl_bgu_2021
Deep Learning course, Computer Science M.Sc., Ben Gurion University of the Negev, Israel, 2021
computer-science computer-vision computer-vision-algorithms convolutional-neural-networks deep-learning facial-recognition generative-adversarial-network neural-network nlp numpy recurrent-neural-networks rnn siamese-neural-network supervised-learning tensorboard tensorflow tensorflow-models text-generation
Last synced: 03 Nov 2024
https://github.com/burakahmet/handwriting-digit-recognition
Instant handwriting digit classification with mnist dataset and TensorFlow
artificial-intelligence artificial-neural-networks cnn colab-notebook convolutional-neural-networks data-augmentation handwritten-digit-recognition image-processing keras mnist model numpy pillow python tensorflow tensorflow-examples tensorflow-models tkinter tkinter-canvas tkinter-graphic-interface
Last synced: 03 Nov 2024
https://github.com/samir-atra/cancerdetector
The final project of AI50xIraq course is found in the commit on 21-3-2023
cancer-detection cnn dataset inceptionv3 matplotlib numpy opencv tensorboard tensorflow tensorflow-tutorials transfer-learning
Last synced: 03 Nov 2024
https://github.com/rampal-punia/data-science-toolkit
Your Go-To Resource for Essential Data Science Related Commands, Concepts, Quick Overviews and Useful Functions.
artificial-intelligence data-science keras machine-learning matplotlib nlp nlp-machine-learning numpy pandas pythorch sql tensorflow
Last synced: 03 Nov 2024
https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations
This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.
jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode
Last synced: 03 Nov 2024
https://github.com/arserchung/ml_cnn
Basis CNN intro& project of recognize to cat or dog
glob keras keras-models numpy opencv os sklearn tensorflow
Last synced: 03 Nov 2024
https://github.com/fanisgl/cnn_machine_learning
A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.
data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2
Last synced: 03 Nov 2024
https://github.com/amiriiw/gesture_recognition
Welcome to the Gesture Recognition Project! This project is designed to train a model to recognize hand gestures from images, and then use that model to detect gestures in real-time.
gesture-recognition json keras matplotlib numpy pathlib tensorflow
Last synced: 03 Nov 2024
https://github.com/rafsaf/tw-complex
Algorithms for TW
mit numpy poetry pypi-package python scipy sklearn
Last synced: 03 Nov 2024
https://github.com/kellsworks/data-science-python-scripts
Data science python scripts
beautifulsoup4 numpy pandas python python-csv selenium selenium-webdriver statistics
Last synced: 16 Nov 2024
https://github.com/matnoble/machinelearningnote
Study Notes of Machine Learning
machine-learning numpy python3 pytorch
Last synced: 15 Nov 2024
https://github.com/neelays/xor-xnor_neural_network
NumPy neural network to approximate XOR/XNOR
Last synced: 09 Nov 2024
https://github.com/massimilianovisintainer/fake-news-prediction-model
Fake News Prediction Model
machine-learning nltk numpy pandas python3 sklearn
Last synced: 03 Nov 2024
https://github.com/cyb3r-jak3/docker-alpine-pandas
Python alpine image with pandas, and numpy installed
alpine-image numpy pandas-python python-alpine
Last synced: 16 Nov 2024
https://github.com/badranalyst/student-tests-data-analysis-application
Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.
data-analysis data-visualization dataset matplotlib numpy pandas python sklearn
Last synced: 03 Nov 2024
https://github.com/pushtogithub23/projectilemotion-simulation
This Jupyter notebook explores projectile motion through mathematics, visualizations, and interactive simulations.
jupyter-notebook matplotlib-pyplot numpy physics-simulation projectile-motion-simulation
Last synced: 05 Nov 2024
https://github.com/akshay-kamath/anomaly_detection
This project addresses the challenge of identifying anomalies in sales data, aiming to optimize sales strategies by uncovering deviations from expected profit patterns.
anomaly anomaly-detection cblof flask isolation-forest knn matplotlib numpy pandas pyod python sklearn
Last synced: 03 Nov 2024
https://github.com/saadarazzaq/imtiaz-remastered
Data Science for Supermarket Customer Retention
data-acquisition data-normalization data-science data-transformation dbscan-clustering eda elbow-plot kmeans-clustering kmeans-plus-plus matplotlib numpy pandas sklearn
Last synced: 03 Nov 2024
https://github.com/yashika-malhotra/machine-learning---linear-regression-on-education-institute
In this analysis, I built a model to predict graduate admissions using Linear, Ridge, Lasso, and ElasticNet regressions. CGPA, GRE, and TOEFL scores emerged as key predictors. ElasticNet effectively handled multicollinearity and balanced L1 and L2 regularization.
linear-models linear-regression matplotlib normalization numpy pandas python seaborn sklearn sklearn-library standardization standardscaler statsmodels
Last synced: 03 Nov 2024
https://github.com/ramchaik/cinebrain
CineBrain uses ML & NLP to analyze movies and recommend similar ones based on user preferences through cosine similarity.
cosine-similarity flask htmx kaggle machine-learning movie-recomendation-system nlp nltk numpy pandas sklearn tailwind tmdb tmdb-api unsupervised-learning vectorization
Last synced: 03 Nov 2024
https://github.com/chandkund/stock-price-prediction-
Predict Tesla stock prices using historical data. The project preprocesses data, applies normalization and standardization, trains a linear regression model, and evaluates its performance. Visualizations include box plots and time series plots.
data-science linear-regression numpy pandas plotly python sklearn sklearn-model
Last synced: 03 Nov 2024
https://github.com/ayushmankumar7/siamese-network-with-one-shot-learning
Implementation of this paper - https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf
Last synced: 14 Oct 2024
https://github.com/offthetab/lung_cancer_prediction
ML for Lung Cancer Prediction dataset from kaggle.
matplotlib numpy pandas python seaborn sklearn
Last synced: 03 Nov 2024
https://github.com/chandkund/iris-classification
Iris Classification project using machine learning to classify iris flowers into Setosa, Versicolour, and Virginica species. Includes data exploration, model training with SVM, Logistic Regression, and Decision Tree, and performance evaluation. Contributions welcome! Python, Pandas, Scikit-learn, Seaborn, Matplotlib.
machine-learning matplotlib-pyplot numpy pandas python sklearn
Last synced: 03 Nov 2024
https://github.com/chandkund/housing-price-prediction
Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
data-science data-visualization matplotlib numpy pandas pyhton sklearn sklearn-library sklearn-metrics
Last synced: 03 Nov 2024
https://github.com/soumyapro/heart-disease-prediction
This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.
logistic-regression numpy pandas simpleimputer sklearn
Last synced: 03 Nov 2024
https://github.com/pavulurig/mycinepick-recommendation-system
MyCinePick is a user-specific movie recommendation system built using collaborative filtering techniques. This project aims to provide personalized movie suggestions tailored to each user's unique viewing preferences and habits.
collaborative-filtering movie-recommendation-app numpy python3 recommendation-system sklearn streamlit
Last synced: 03 Nov 2024
https://github.com/aysh2603/credit-card-fraud-detection
The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.
ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit
Last synced: 03 Nov 2024
https://github.com/theoldvalyria/ecommerce_analysis
Анализ данных E-commerce
jupyter-notebook matplotlib numpy pandas python requests seaborn
Last synced: 05 Nov 2024
https://github.com/sarowarahmed/advertising-sales-app
📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.
advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit
Last synced: 03 Nov 2024
https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions
A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders
machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn
Last synced: 03 Nov 2024
https://github.com/theoldvalyria/analysis_of_orders
Промежуточный проект курса "Аналитик данных" (KARPOV.COURSES)
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 05 Nov 2024
https://github.com/aysh2603/twitter-sentiment-analysis
The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.
hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn
Last synced: 03 Nov 2024