NumPy | Ecosyste.ms: Awesome

https://gitlab.com/Makman2/scipy-steadystate

SciPy extension modules for general purpose steady-state solvers and optimizations for differential state-equations!

numpy optimization scipy steady-state

Last synced: 30 Sep 2024

https://github.com/gherrada22/spanish-sign-translator

This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.

language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml

Last synced: 31 Oct 2024

https://github.com/adityabhamare10/aiml-hackathon

Smart Credit Risk Solutions

chatgpt confusion-matrix css ejs flask git github html javascript joblib jupyter-notebook logistic-regression matplotlib numpy pandas pycharm python seaborn sklearn stremlit

Last synced: 31 Oct 2024

https://github.com/danieljvickers/fluid_simulation

An educational example for learning the Navier-Stoke equations. Also included is a C++ and CUDA shared object library, buildable with CMake, for use in your personal projects.

cpp cuda differential-equations navier-stokes numpy physics python simulation

Last synced: 08 Nov 2024

https://github.com/yc1909/ai_impact_on_jobs

Impact of Artificial Intelligence on Jobs and Workplace-Analysis

analytics exploratory-data-analysis matplotlib numpy pandas seaborn

Last synced: 08 Nov 2024

https://github.com/mchenryspagg/investigate_a_dataset

This is a data analysis project that demonstrates the student's ability to use python data analysis libraries such as pandas, numpy and pyplot in matplotlib to investigate a dataset and answer specific questions from the dataset, thus demonstrating skills in data cleaning, data wrangling, and exploratory data analysis.

data-analysis datetime descriptive-analysis descriptive-statistics exploratory-data-analysis numpy pandas pyplot python visualization

Last synced: 08 Nov 2024

https://github.com/abhisingam/brickbreaker

A Terminal-Based game made in Python that emphasises upon the use of OOPs concepts. Python | NumPy | Game Development

game-development numpy python3

Last synced: 27 Oct 2024

https://github.com/apuravdivekar2032/real-estate-price-prediction

A real estate price prediction website developed using Python with Numpy and Pandas for data cleaning Matplotlib for data visualization and scikit-learn for model building, featuring a Flask server to handle HTTP requests and integrates a user-friendly UI built with HTML, CSS, and JavaScript

flask html-css-javascript jupyter-notebook matplotlib numpy pandas pycharm python3 sklearn vscode

Last synced: 31 Oct 2024

https://github.com/lewis-morris/image_augment

Image augmentation for CNN's. Aiming to increase generalization.

augmentation image numpy python

Last synced: 31 Oct 2024

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/gitgoap/defogify

Dehaze input image

gradio-interface huggingface numpy open-cv python3

Last synced: 31 Oct 2024

https://github.com/harmanveer-2546/nba-homecourt-advantage-data-analysis

In this repo we're diving into NBA game data to explore the phenomenon of home court advantage.

analysis homecourt learning-curve linear-models logisticregression metrics model-selection nba nba-analytics nba-stats numpy pandas preprocessing seaborn sklearn standardscaler

Last synced: 31 Oct 2024

https://github.com/abdullahashfaq-ds/sms-spam-detection

A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.

css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost

Last synced: 29 Oct 2024

https://github.com/dragonscypher/tryspec

A VTO

cv2 dlib face-detection numpy python3

Last synced: 10 Nov 2024

https://github.com/shambac/shamboflow

Fierce tensorflow competitor

cuda cupy machine-learning numpy pypi-package

Last synced: 02 Nov 2024

https://github.com/jancervenka/genalg

Solver for traveling salesman problem

genetic-algorithm numpy python

Last synced: 06 Nov 2024

https://github.com/smahala02/materials-science-introduction

Introduction to Materials Science concepts using Python for array manipulation and visualization with NumPy and Matplotlib.

data-visualization materials-science matplotlib numpy python scientific-computing

Last synced: 31 Oct 2024

https://github.com/kevin-rsj/real-estate-investments

Sistema de scoring que clasifica ciudades francesas para inversión en segundas viviendas según perfil de riesgo(alto, moderado y bajo). Evalúa ratios clave en áreas como demanda, disponibilidad, infraestructura, demografía y precios.

bigquery data-analytics looker-studio numpy pandas python sklearn-library sql visualization

Last synced: 29 Oct 2024

https://github.com/harmanveer-2546/guide-to-regularization

Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.

generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn

Last synced: 31 Oct 2024

https://github.com/dmkk01/mlp-python

Implementation of a multilayer perceptron using Pytorch and Numpy libraries

mlp numpy pytorch

Last synced: 12 Nov 2024

https://github.com/egorouv/deepmachinelearning

DML Course

deep-machine-learning numpy python pytorch sklearn

Last synced: 08 Nov 2024

https://github.com/aniketdash7/multihead_attention_implementation

Implementation of Multihead attention mechanism using numpy and pyTorch

multihead-attention numpy pytorch torch

Last synced: 09 Oct 2024

https://github.com/ajxxxs/spotify-music-analysis

spotify Music (web scraped playlists ) analysis (over 3 states) , trends, features and a music recommendation system.

matplotlib numpy panda scikit-learn seaborn

Last synced: 12 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/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/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/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/sabbir45ali/cam-board

This is Python based project which is a virtual board and we write there using our finger and clear it and color changing.

numpy pandas python3

Last synced: 08 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/djdhairya/medical-insurance-cost-prediction-

csv linear-regression machine-learning numpy pandas r-square-values scikit-learn seaborn

Last synced: 03 Nov 2024

https://github.com/mairagalvao/steak_risk_data

A data analysis based on correlations and comparisons among the samples.

database matplotlib numpy pandas python3 sql

Last synced: 08 Nov 2024

https://github.com/soumyapro/parkinson-disease-prediction

This project predicts Parkinson's disease using machine learning models.

logistic-regression numpy pandas scikit-learn svc xgboost

Last synced: 03 Nov 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/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/mchenryspagg/prosper-loan-project

A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data

datastorytelling exploratory-data-analysis exploratory-data-visualizations jupyter-notebook matplotlib-pyplot numpy pandas python seaborn-plots

Last synced: 08 Nov 2024

https://github.com/amiriiw/text_classification

Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.

keras numpy pandas pickle scikit-learn tensorflow text-classification

Last synced: 03 Nov 2024

https://github.com/tjpavii0809/classification-regression-models

Simple Predictive Model of Machine Learning

data-science numpy pandas scikit-learn supervised-learning

Last synced: 03 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

https://github.com/abdulhadi806/muffin-or-cupcake-model

𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 model that is capable of checking whether the model I inputted is a mufin or cupcake, I am in a learning face today is 1/25/2024 let's see how far I can go in this field. Wish me luck:)

ai jupyter-notebook machine-learning numpy pandas python sklearn support-vector-machine svm

Last synced: 09 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/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/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/vgvr0/analisis-de-datos-con-streamlit-numpy-pandas-y-matplotlib

Sistema completo de análisis y visualización de datos cinematográficos que proporciona insights detallados sobre películas, incluyendo análisis financiero, puntuaciones, tendencias temporales y un sistema de recomendación. Desarrollado con Python y Streamlit, ofrece una interfaz interactiva y amigable para explorar datos de películas.

matplotlib numpy pandas plotly plotly-dash recommendation-system streamlit

Last synced: 08 Nov 2024

https://github.com/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

elasticnet extratreesregressor fastica model-pipeline numpy pandas pca randomforestregressor svr-regression-prediction xgboost

Last synced: 10 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/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/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/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/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/raghavendranhp/airbnb-data-analysis

The Airbnb Data Analysis project focuses on analyzing Airbnb data using MongoDB Atlas, Python scripting, data preprocessing, visualization, and interactive geospatial insights. We delve into the world of property management and tourism to uncover trends, pricing variations, and location-based analysis.

eda jupyter-notebook mongodb numpy pandas powerbi preprocessing

Last synced: 10 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/raghavendranhp/waiter_tip_prediction

The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns

eda numpy pandas plotly-express plotly-graph-objects python sklearn

Last synced: 10 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.

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/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/raghavendranhp/resume_screening

this project utilizes Python for the screening of resumes. It involves data cleaning, visualization, and machine learning techniques to categorize resumes into different job categories.The project achieves high accuracy using a machine learning algorithm, showcasing its effectiveness in automating the resume screening process.

kneighborsclassifier multinomial-naive-bayes naive-bayes numpy onevsrestclassifier pandas regular-expressions seaborn

Last synced: 10 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/raghavendranhp/youtube_data_harvesting

The "YouTube Data Analyzer" is a versatile tool for businesses and content creators, enabling them to gather, analyze, and harness valuable insights from multiple YouTube channels. With streamlined data collection, storage in MongoDB, migration to SQL, and a user-friendly Streamlit interface, it empowers users to make data-driven decisions

apiintegration data datacollection eda googleapi googleapiclient matplotlib mongodb mysql mysqlconnector numpy oops pandas pymongo python pythonoops sql sqlalchemy streamlit youtube-api

Last synced: 10 Nov 2024

https://github.com/raghavendranhp/dynamic-hotel-recommendation-system-using-nlp

Developing a Python-based system for personalized hotel recommendations. The goal is to match user descriptions with hotel features, enhancing user satisfaction and decision-making in the hospitality industry.

ast lemmatization machine-learning nltk-python numpy pandas stopwords wordtoken-python

Last synced: 10 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/mchenryspagg/wrangle-and-analyze-data

This project which is known as 'wrangle and analyze data' involves the wrangling of WeRateDogs twitter archive data from the period of 2015 to 2017

api data dataanalysis datacollection datawrangling datetime json numpy os pandas pil python requests tweepy-api visualization

Last synced: 08 Nov 2024

https://github.com/dmitryryumin/python_libs

Библиотеки Python

bokeh matplotlib numpy pandas plotly python scikit-learn seaborn

Last synced: 08 Nov 2024

https://github.com/marvin-vw/3dengine

3D engine written in Python using OpenCV and NumPy

3dengine numpy opencv python

Last synced: 26 Sep 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/hectorta1989/py-images-classification

Images classification algorithms implemented by Python

ai computervision deeplearning imageclassification imageprocessing knn-classification machine-learning numpy pandas pca pca-analysis python3

Last synced: 10 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/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/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/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/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/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/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/abrahamkoloboe27/fruits-recognition-streamlit-app

🍎 Fruits Classification App (Streamlit) 🍌

convolutional-neural-networks deep-learning image-classification image-processing keras logging machine-learning machine-learning-engineering mlops numpy pandas plotly prototype python streamlit streamlit-application tensorflow

Last synced: 31 Oct 2024

https://github.com/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/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/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/roaajadaa/text-classification

Classify documents using custom naïve bayes model

matplotlib nlp nltk numpy pandas python sklearn

Last synced: 14 Nov 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/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: 14 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/jmromer/salaries

A number-crunching API powered by Flask and Pandas

demo flask numpy pandas python python3

Last synced: 13 Nov 2024

https://github.com/ahmedabdalkreem/sentiment-analysis

This project performs sentiment analysis on a Twitter dataset, aiming to classify tweets into positive, negative, or neutral sentiments. Sentiment analysis is crucial for understanding public opinion on various topics, brands, or events based on social media data.

bert-model lematization matplotlib nlp nltk numpy pandas python3 sentiment-analysis stopwords streamlit

Last synced: 31 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/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/cuuupid/better-tensorflow

MNIST classifier api

graph-model machine-learning neural-network numpy pickle sigmoid

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/matnoble/machinelearningnote

Study Notes of Machine Learning

machine-learning numpy python3 pytorch

Last synced: 15 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

numpy tensorflow tf-keras

Last synced: 14 Oct 2024

https://github.com/hansalemaos/numpy_choices

Some useful np.random functions

choices numpy python random

Last synced: 30 Oct 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/coueghlani/nlp

Proyecto de Procesamiento de Lenguaje Natural y Análisis de Datos

mineria-de-datos nlp nlp-machine-learning nltk numpy procesadores-de-lenguajes sklearn spacy

Last synced: 31 Oct 2024

https://github.com/christs8920/data-science-py

A collection of data science projects made in python.

data-science data-visualization machine-learning matplotlib nltk numpy pandas python sklearn svm-classifier visualization

Last synced: 11 Nov 2024

https://github.com/iinjyi/pulsars

A binary classification problem for a highly imbalanced dataset containing data about signals that could possibly arise from a special type of neutron stars, or mostly.. noise signals.

binary-classification imbalanced-data numpy pandas pulsars python