NumPy | Ecosyste.ms: Awesome

https://github.com/azaz9026/machine_learning_algorithms

Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.

machine-learning machine-learning-algorithms numpy pandas python3 seaborn sklearn-library

Last synced: 18 Nov 2024

https://github.com/azaz9026/loan_approval_prediction

Welcome to the Loan Approval Prediction repository! This project aims to build a predictive model that can determine whether a loan application should be approved or denied based on various features. Purpose The goal of this repository is to develop a machine learning model that can accurately predict loan approval decisio

data data-analysis data-visualization eda machine-learning numpy pandas python statistics

Last synced: 18 Nov 2024

https://github.com/azaz9026/python_library_numpy

NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices...

array jupyter-notebooks numpy python3

Last synced: 18 Nov 2024

https://github.com/azaz9026/car_price_prediction_model

This repository contains a machine learning model designed to predict car prices based on various features. Using historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.

data-analysis data-engineering liner-regestion machine-learning modeling numpy pandas python3 rendering

Last synced: 18 Nov 2024

https://github.com/azaz9026/python_project_for_data_analysis

numpy pandas postgresql python3

Last synced: 18 Nov 2024

https://github.com/azaz9026/eda

Exploratory Data Analysis (EDA) refers to the method of studying and exploring record sets to apprehend their predominant traits, discover patterns, locate outliers, and identify relationships between variables. EDA is normally carried out as a preliminary step before undertaking extra formal statistical analyses or modeling.

data-cleaning data-visualization encoding machine-learning matplotlib numpy pandas plotly python3 seaborn sklearn-library

Last synced: 18 Nov 2024

https://github.com/nandini-menon/point-cloud-generation

arduino-uno numpy pcd point-cloud pyserial python-3-5 sensor serial-communication servo-motor vtk

Last synced: 18 Nov 2024

https://github.com/sauravokos/deep-learning

Repository on private project concerning Deep Learning through multilevel neural networks

keras numpy pillow python python-3-5 scikit-image scikit-learn scipy tensorflow tensorflow-examples tkinter tkinter-graphic-interface

Last synced: 18 Nov 2024

https://github.com/shuyib/pimadlkeras

Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.

diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn

Last synced: 18 Nov 2024

https://github.com/quickheaven/scs-3251-statistics-for-data-science

Repository dedicated to Term Project of UofT Statistics for Data Science Course

data-science jupyter-notebook logistic-regression numpy pandas python

Last synced: 18 Nov 2024

https://github.com/quickheaven/python-for-data-science-and-machine-learning-bootcamp

Python for Data Science and Machine Learning Bootcamp

data-science linear-regression logistic-regression machine-learning matplotlib numpy pandas python seaborn

Last synced: 18 Nov 2024

https://github.com/sivatsk26/university-admit-eligibility-predictor

This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information

html-css-javascript ibm-cloud ibm-watson linear-regression machine-learning matplotlib numpy pandas python python-flask random-forest scikit-learn

Last synced: 18 Nov 2024

https://github.com/aishwaryagm1999/electric-vehicles-dataset-data-analaysis

Performed Data Cleaning and Data Analysis of the Electric Vehicles Dataset to find the relationship between the features in the dataset and visualized the findings using matplotlib and seaborn.

data-analysis-python data-visualization electric-vehicle feature-analysis matplotlib numpy pandas python seaborn

Last synced: 18 Nov 2024

https://github.com/aishwaryagm1999/california-housing-prices-data-analysis

Performed Data Cleaning and Data Analysis of the California Housing Prices Dataset to find the relation between the housing prices at a block and the amenities and facilities stated in the dataset such as total number of rooms, ocean proximity etc.

data-analysis data-visualization matplotlib numpy pandas python seaborn

Last synced: 18 Nov 2024

https://github.com/aravinda-1402/covid-detection-model-using-chest-x-ray

The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.

classification cnn covid flask keras numpy pandas tensorflow

Last synced: 18 Nov 2024

https://github.com/prithvi45/machine-learning-prerequisites

Basics to Advance concepts on Numpy, Pandas, Matplotlib

matplotlib numpy pandas python

Last synced: 18 Nov 2024

https://github.com/reddyprasade/bird-classifications-problem

Birds Classification by using Scikit-learn and Scikit-image

matplotlib numpy pandas python-3 sckiit-learn sckit-image

Last synced: 18 Nov 2024

https://github.com/anuraganalog/navie-bayes

Implemented Gaussian Naive Bayes Classifier from scratch

bayes classifier dataset datasets gaussian guassian-naive-bayes iris multinomial-naive-bayes naive naive-bayes-classifiers numpy py scratch

Last synced: 18 Nov 2024

https://github.com/anuraganalog/random-test-case-generator

Generate Random Test Cases

arrays case characters file generation generator hacktoberfest hacktoberfest2020 matrices numbers numpy py python3 random random-test-case string test test-cases

Last synced: 18 Nov 2024

https://github.com/mattmoony/ann_mnist

Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️

adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh

Last synced: 18 Nov 2024

https://github.com/sweta2501/ml

Consist of ML projects based on Python along with DataSheets

machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn sklearn-model

Last synced: 18 Nov 2024

https://github.com/pythondeveloper6/store-sales-eda

simple EDA with some insights on Store Sales

data-analysis eda matplotlib numpy pandas seaborn

Last synced: 18 Nov 2024

https://github.com/pythondeveloper6/matplotlib-for-beginners

how to visualize your data using matplotlib

data-analysis matplotlib numpy pandas python visualization

Last synced: 18 Nov 2024

https://github.com/pythondeveloper6/california-housing-prices-eda-linear-regression

simple EDA for house prices with Regression model

data-analysis eda machine-learning matplotlib numpy pandas regression seaborn

Last synced: 18 Nov 2024

https://github.com/pythondeveloper6/supermarket-eda-seaborn-for-beginners

learn Seaborn basics using a simple EDA

data-analysis eda numpy pandas seaborn visualization

Last synced: 18 Nov 2024

https://github.com/pythondeveloper6/udemy-courses-full-eda

simple EDA for Udemy courses

data-analysis eda matplotlib numpy pandas python seaborn

Last synced: 18 Nov 2024

https://github.com/pythondeveloper6/ensemble-learning-beginner-guide

machine learning ensemble learning types in easy steps with examples

bagging-ensemble decision-trees ensemble-learning knn-classification logistic-regression machine-learning numpy random-forest stacking-ensemble svc voting-classifier

Last synced: 18 Nov 2024

https://github.com/jai0212/course-selector-uoft

A program that suggests university courses based on your program and provides a custom GUI to customize your course plan. Created to help UofT students.

beautifulsoup csv graphs graphs-algorithms networkx-graph numpy os parser pickle pillow plotly python tkinter-gui tkmacosx

Last synced: 18 Nov 2024

https://github.com/jai0212/ai-virtual-painter

Real time finger and object painting using advanced computer vision technology with custom hand gestures and customizable colours

artificial-intelligence cmake computer-vision cpp mediapipe numpy opencv python

Last synced: 18 Nov 2024

https://github.com/aminkhavari78/reinforcementlearning

Try to Implement different Envirnment and RL algorithms

ipython matplotlib numpy pygame pytorch randomsearch reinforcement-learning snake

Last synced: 18 Nov 2024

https://github.com/philipyip1988/miniconda

This set of tutorials covers installation of Miniconda on Windows 11 and configuring it to use the conda-forge channel and libmamba solver allowing for the creation of custom Python environments. A seperate Python environment will be created for the idle, thonny, ipython, jupyterlab, vscode, pycharm and spyder Python IDEs.

anaconda conda environment-variables idle ipython jupyterlab matplotlib miniconda miniconda-environments numpy pandas powershell pycharm python spyder thonny vscode windows

Last synced: 18 Nov 2024

https://github.com/alefair/ds

Data Science projects

ipython jupyter matplotlib numpy pandas python sklearn

Last synced: 18 Nov 2024

https://github.com/marferdom/codenotes

Notes while learning to code in python

fastai ipython matplotlib-pyplot numpy python sci-kit-learn seaborn tensorflow tkinter torch

Last synced: 18 Nov 2024

https://github.com/rosieoh/emergency_dataanalysis

오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석

ipython matplotlib numpy pandas python scikit-learn scipy

Last synced: 18 Nov 2024

https://github.com/mrnust/ai-powered-socialmediapostoptimizer_llm

AI-Powered Social Media Post Optimizer enhances your social media content by optimizing text posts with relevant tags and keywords, predicting engagement metrics, and analyzing image quality. Upload your post and image to receive tailored suggestions for improving engagement and visual appeal.

groq langchain large-language-model llama-3-70b matplotlib numpy opencv streamlit textblob

Last synced: 18 Nov 2024

https://github.com/ljadhav25/decision-tree-random-forest-algorithm-data-science-

This repository contains an implementation of decision tree and random forest algorithms from scratch in Python. Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. The goal of this project is to provide a clear and understandable implementation of these algorithms

data-analysis data-science decision-trees machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier

Last synced: 18 Nov 2024

https://github.com/ljadhav25/knn-algorithm-data-science-

This repository contains a project demonstrating the implementation and application of the K-Nearest Neighbors (K-NN) algorithm in Data Science. The objective is to provide a comprehensive understanding of the K-NN algorithm, including data preprocessing, model training, evaluation, and visualization of results. This project is ideal for beginners

data-analysis data-science knn-classification machine-learning matplotlib-pyplot numpy pandas-library seaborn

Last synced: 18 Nov 2024

https://github.com/statute8234/redditbot

Rating: (7/10) This script collects, preprocesses, trains models, processes images, and handles files, handling data from Reddit, image processing, and file handling.

autocorrect bytesio concurrent nltk numpy openpyxl pandas pil praw random re requests secrets sklearn string tensorflow time urllib

Last synced: 18 Nov 2024

https://github.com/statute8234/python-task-manager

Rating: (7/10): The Python Task Manager, is a user-friendly interface using tkinter library for system monitoring and management. It displays detailed system process information using psutil, with interactive features.

matplotlib numpy psutil pygetwindow tkinter

Last synced: 18 Nov 2024

https://github.com/statute8234/ai_projects

Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.

newspaper nltk numpy python random sklearn string warnings

Last synced: 18 Nov 2024

https://github.com/statute8234/drawimages

Rating: (7/10) The code uses Python's Turtle module to create a canvas image, converting it to grayscale, and then placing dots at each pixel's location based on its intensity.

numpy pil random turtle

Last synced: 18 Nov 2024

https://github.com/nandit123/python_on_excel

Data Analysis using python libraries on excel data

csv data-analysis data-science fill fluctuations graph numpy python python-library

Last synced: 12 Nov 2024

https://github.com/ahasannn/real-time-expression-detector

A Real Time Expression Detector using Python and Machine Learning

csv expression-detection-from-cam gradient-boosting logistic-regression machine-learning-algorithms mediapipe numpy opencv pandas python random-forest ridge-classifier scikit-learn

Last synced: 09 Nov 2024

https://github.com/ahasannn/multilevel_textual_emotion_classifier

Emotion detection from social media texts using machine learning algorithms.

anaconda jupyter machine-learning matplotlib nltk numpy pandas pip python scikit-multilearn scikitlearn

Last synced: 09 Nov 2024

https://github.com/costopoulos/ntua-telecommunications

:radio: :telephone_receiver: NTUA ECE Telecommunications Course Code & Report

numpy nyquist python sampling scipy telecommunications

Last synced: 07 Nov 2024

https://github.com/costopoulos/ntua-dsp

:signal_strength: NTUA ECE Digital Signal Processing Course Source Codes and Reports

dsp filters fourier-transform librosa numpy pywt scipy short-time-signal-analysis stft

Last synced: 07 Nov 2024

https://github.com/ayushpatel2026/stock_predictor

Neural Networks to Predict Stock Prices

data-science flask-api machine-learning neural-network numpy python pytorch

Last synced: 27 Oct 2024

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

A simple DES implementation in Python

cryptography numpy python

Last synced: 09 Nov 2024

https://github.com/akshay-kamath/visual-privacy-protection

An AI based application designed to protect visual privacy by anonymizing faces and obfuscating sensitive textual information (PII) in both images and videos

ai caffemodel computer-vision deep-learning nlp numpy ocr opencv pillow python3 tkinter

Last synced: 13 Nov 2024

https://github.com/michelenana/projet-7

PRODUISEZ UNE ETUDE DE MARCHE AVEC R OU PYTHON

acp boxplots cah kmeans matplotlib numpy pandas python scipy seaborn sklearn

Last synced: 04 Nov 2024

https://github.com/jcardonamde/reto_cobranzas_sector_financiero

This project analyzes data provided by the organization i data, which discusses the collection process of a financial company. This with the objective of generating segmentation strategies that allow the recovery of the portfolio.

data-science kmeans-clustering machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn

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/jcardonamde/datasets_ml

This project analyzes cab and limousine travel data in New York City. This with the goal of predicting the total duration of trips within the city. Machine learning models were used.

data-science machine-learning machine-learning-algorithms matplotlib numpy pandas pipelines python seaborn sklearn

Last synced: 05 Nov 2024

https://github.com/gmcgibbon/udacity-dlnd-project-1

Udacity Deep Learning Nanodegree - Project 1

deep-learning jupyter-notebook nn numpy udacity

Last synced: 31 Oct 2024

https://github.com/futuresea-dev/media-player-vision

Media Player Vision

numpy opencv pygui python scipy tkinter vlc-media-player vsa

Last synced: 22 Oct 2024

https://github.com/l2nce/datamining-study

Introduction to data mining

data-analysis data-mining matplotlib numpy panda

Last synced: 11 Nov 2024

https://github.com/daniel-brai/alx-t-x-udacity-data-analytics-nanodegree

A 3-month nanodegree going through the intricacies of data analysis with Python and its various libraries such Pandas, Numpy, matplotlib, seaborn and others

matplotlib numpy pandas python3

Last synced: 05 Nov 2024

https://github.com/akku-1206/zomato_scrapping

Zomato Restaurant Data Scraper This script uses Selenium to scrape restaurant information from the Zomato NCR delivery page.

chromewebdriver numpy pandas python selenium

Last synced: 09 Nov 2024

https://github.com/hansalemaos/cv2pencil

Converts images to pencil sketches

filter numpy opencv pencil python

Last synced: 11 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/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/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/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/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/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/nightmachinery/mlp_from_scratch

A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.

deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy

Last synced: 08 Nov 2024

https://github.com/prakharagr2001/whatsappchatanalyzer

WhatsAppChat Analyzer is a Python-powered website leveraging the capabilities of NumPy, Pandas, and Streamlit. It provides comprehensive analysis of WhatsApp conversations, extracting valuable insights and statistics for a user-friendly interpretation of chat data.

chat-analysis data-visualization numpy pandas python streamlit whatsapp-chat

Last synced: 31 Oct 2024

https://github.com/navindafernando/lane-detection

Lane Detection with Image Feature Extraction Techniques :aerial_tramway:

image-feature-extraction kernel-filters machine-learning neighborhood numpy opencv sobel-filter

Last synced: 08 Nov 2024

https://github.com/9bow/deep-learning-from-scratch

examples in the book

book deeplearning example-code jupyter-notebook numpy python3

Last synced: 31 Oct 2024

https://github.com/navindafernando/feature-extraction

Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:

categorical-encoding feature-engineering flask handling-outlier html5 joblib label-encoding machine-learning numpy pandas polynomial-features quantile-transformer scaling

Last synced: 08 Nov 2024

https://github.com/morpheomax/uberpython

Viajes realizados en Uber con Python

numpy pandas python streamlit uber

Last synced: 11 Nov 2024

https://github.com/navindafernando/brain-tumor-detection

Brain Tumor Detection using Color Segmentation with KMeans Clustering :warning:

color-segmentation erosion find-contours joblib k-means-clustering machine-learning matplotlib morphological-operation numpy opencv scikit-learn unsupervised

Last synced: 08 Nov 2024

https://github.com/navindafernando/heart-disease-prediction

Deploying the heart risk level predicting Regression model in a web application using Flask :white_flower:

flask html joblib machine-learning numpy

Last synced: 08 Nov 2024

https://github.com/navindafernando/face-recognition

Training a SVM Pipeline for Face Recognition :anger:

classification haar-cascade-classifier joblib machine-learning numpy opencv pipeline principal-component-analysis scikit-learn ski support-vector-machines

Last synced: 08 Nov 2024

https://github.com/navindafernando/character-recognition

Sinhala Character Recognition using KNN :coffee:

joblib knn-algorithm machine-learning matplotlib numpy opencv pillow tikiner-gui

Last synced: 08 Nov 2024

https://github.com/angelarreola/ai_notes

Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.

ai matplotlib numpy pandas phaserjs python scikit-learn

Last synced: 04 Nov 2024

https://github.com/dulajkavinda/numpy-ml

🔢 Calculations with NumPy library.

calculations jupyter-notebook machine-learning matrices numpy numpy-arrays python

Last synced: 26 Oct 2024

https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp

Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.

backend-development bootstrap css3 dataanalysis dataprocessing django-application django-framework djangotemplates html5 javascript numpy pandas plotly-express python3 seaborn-plots webapp

Last synced: 10 Nov 2024

https://github.com/shahzaibdev355/house-recommendation-backend

House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.

flask flask-api flask-cors numpy pandas scikit-learn tensorflow

Last synced: 31 Oct 2024

https://github.com/ecrows/flippy

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

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

Last synced: 13 Nov 2024

https://github.com/hansalemaos/stridesduplicatefinder

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

duplicates fast numexpr numpy strides

Last synced: 13 Nov 2024

https://github.com/ryancswallace/npdb

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

mapreduce-designpatterns numpy numpy-arrays parallel-computing python

Last synced: 13 Nov 2024

https://github.com/hansalemaos/cppradixsort

parallel_radixsort from C++ for Python (Windows)

cpp numpy parallel-computing python sort

Last synced: 13 Nov 2024

https://github.com/abdoufermat5/gps_statistiques

Calculs statistiques pour le cloud personnel

geolife gps numpy pandas python statistics trajectory-analysis

Last synced: 11 Nov 2024

https://github.com/technologicat/pylu

Small nogil-compatible linear equation system solver

cython linear-equations numerical numpy python python2 python27 python3 python34 solver

Last synced: 22 Oct 2024

https://github.com/freebirdscrew/datascience_crash_course

Data Science Crash Course that Explained about Each and Every Process in Data Science.

dash data datascience datascience-crash-course datascience-machinelearning datascientist datasets freebirdscrew matplotlib numpy numpy-library pandas plotly plotly-python python python3 simranjeet simranjeetsingh

Last synced: 09 Nov 2024

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: 15 Nov 2024

https://github.com/lakshaybhushan/pns-coding-assignment

Solving questions given in "Programming Questions.pdf" using python's matplotlib and jupyter notebooks

ipynb juypter-notebook matplotlib-pyplot numpy python

Last synced: 05 Nov 2024

https://github.com/secary/compsci7211

Foundations of Computer Science B

algorithms git numpy pandas shell unix

Last synced: 31 Oct 2024

https://github.com/hamidhosen42/titanic-machine-learning-from-disaster-project

Titanic Machine Learning from Disaster Project Model accuracy : 77.272 %

decision-trees knn-classification machine-learning matplotlib nive-bayes numpy pandas python random-forest seaborn sklearn svm

Last synced: 08 Nov 2024

https://github.com/hamidhosen42/cardiovascular-disease-machine-learning-project

Cardiovascular-Disease-Maching-Learning-Project

decision-trees matplotlib numpy pandas python random-forest seaborn sklearn

Last synced: 08 Nov 2024

https://github.com/farzeennimran/fashion-mnist-dataset-classification-using-neural-network

Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset 👗👚👖

artificial-intelligence data-analysis data-mining data-science dataset deep-learning fashion-mnist-dataset gridsearchcv hyperparameter-tuning kfold-cross-validation machine-learning multilayer-perceptron-network neural-network numpy pandas python sklearn