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: 2025-01-16 00:21:26 UTC
- JSON Representation
https://github.com/real0x0a1/objectdetection
Real-time Object Detection using YOLOv
Last synced: 13 Jan 2025
https://github.com/anuraganalog/deep-learning-specialization
Coursera's Deep Learming Specialization Lecture notes
algorithms convolutional coursera deep hyperparameters learning lecture models networks neural notes numpy optimization python3 sequence specialization tuning
Last synced: 05 Jan 2025
https://github.com/lorransutter/discretemethods
Discrete methods library
discrete-mathematics euler-method finite-difference numpy python3 runge-kutta-4 runge-kutta-fehlberg secant-method
Last synced: 01 Jan 2025
https://github.com/clayrisser/6-line-neural-net
The smallest neural network
Last synced: 15 Dec 2024
https://github.com/enansari/basic-ai-learning-by-python
The codes I entered during learning course
ai artificial-intelligence jupyter jupyter-notebook numpy pandas python scikit-learn tensorflow
Last synced: 09 Jan 2025
https://github.com/programmer-rd-ai/moviedatascraper
Explore the cinematic universe with our IMDb web scraping project! Dive into movie data with ease, uncovering insights from cast to critical reviews. With dynamic visualizations and reliable data, let's journey through the world of movies like never before. Lights, camera, analysis!
beautifulsoup beautifulsoup4 data data-analysis jupyter-notebook matplotlib numpy pandas programming python python3 scraping seaborn software web
Last synced: 12 Jan 2025
https://github.com/tritonix711/ai-content-verifier
AI Content Verifier is a tool that finds out if text is written by AI or humans. It uses machine learning and natural language processing to give clear results and confidence scores. With an easy-to-use interface, it helps everyone from researchers to content creators check if the content is real or not.
git machine-learning nlp nltk numpy pandas python scikit-learn spacy tkinter
Last synced: 09 Jan 2025
https://github.com/diusmontenegro/python3-miniprojects
This my mini-projects that you may be interested in doing too... Enjoy!!
langdetect machine-learning matplotlib numpy opencv python3 tabula tkinter-gui torch
Last synced: 11 Jan 2025
https://github.com/adityajn105/kagglesolvedproblem
Data Science problem on Kaggle Solved by me. Keep improving Accuracy.
kaggle kaggle-competition numpy pandas python scikit-learn tensorflow
Last synced: 15 Nov 2024
https://github.com/ayushmankumar7/pyopencl-windows
Install PyOpenCL for Windows 😉
numpy opencl pyopencl python python3 windows windows-10
Last synced: 02 Dec 2024
https://github.com/krishmunot/spam-detector
Spam detection using Neural Nets and back propagation
backward-chaining hacktoberfest hacktoberfest2020 machine-learning numpy spam-detection
Last synced: 02 Dec 2024
https://github.com/mdaiyub/heart-disease-prediction
Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.
confusion-matrix data-science decision-tree-classifier gaussiannb kneighborsclassifier logistic-regression machine-learning matplotlib-pyplot numpy pandas python random-forest-classifier seaborn svc-svm
Last synced: 17 Nov 2024
https://github.com/mdaiyub/house-price-prediction
Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.
confusion-matrix decision-tree-classifier gaussiannb kneighborsclassifier logistic-regression machine-learning matplotlib-pyplot numpy pandas random-forest-classifier seaborn svc-svm
Last synced: 17 Nov 2024
https://github.com/aliosmankaya/DataScienceProjects
This repository for my Data Science, Machine Learning and Deep Learning projects. I want to share my work on this areas.
breast-cancer-wisconsin chest-xray classification data-science deep-learning imagedatagenerator insurance kaggle keras machine-learning matplotlib-pyplot numpy pandas python regression seaborn tensorflow tensorflow2 titanic-kaggle
Last synced: 27 Nov 2024
https://github.com/i4ds/ecallisto_ng
Ecallisto NG is a Python package tailored for interacting with Ecallisto data.
data-analysis data-visualization e-callisto ecallisto-international-network numpy pandas python spectrometer
Last synced: 09 Nov 2024
https://github.com/imharshag/time-series-analysis
This focuses on performing a time series analysis of Bitcoin revenue using a naive forecast approach. The goal is to understand the revenue trends and make simple predictions based on historical data.
google-colab jupyter-notebook numpy pandas time-series-analysis
Last synced: 17 Nov 2024
https://github.com/wpi-surfmet-lab/multiscale-statistical-analysis
Multiscale regression/discrimination analysis software, which uses multiscale area data exported from MountainsMap®.
matplotlib multiscale-analysis numpy python scipy win wpi wxpython
Last synced: 18 Dec 2024
https://github.com/amanovishnu/credit-card-draud-detection
this project uses machine learning to detect fraudulent credit card transactions with local outlier factor and isolation forest algorithms. we’ll evaluate performance and visualize data distribution.
isolation-factor-algorithm local-outlier-factor machine-learning numpy pandas seaborn-plots
Last synced: 03 Jan 2025
https://github.com/ksharma67/partial-dependent-plots-individual-conditional-expectation-plots-with-shap
The goal of SHAP is to explain the prediction of an instance x by computing the contribution of each feature to the prediction. The SHAP explanation method computes Shapley values from coalitional game theory. The feature values of a data instance act as players in a coalition.
eda individual-conditional-expectation matplotlib numpy pandas partial-dependence-plot python seaborn shap shapley-additive-explanations sklearn xgboost
Last synced: 25 Dec 2024
https://github.com/shahen94/machine-learning-courses
Machine Learning training algorithms and implementations
classification clustering-algorithm matplotlib numpy python regression sklearn tensorflow training
Last synced: 03 Jan 2025
https://github.com/pyladiesams/data-interpretation-beginner-sep2020
An introduction to Data Interpretation and Storytelling with Python
jupyter matplotlib numpy pandas workshop
Last synced: 03 Jan 2025
https://github.com/sisoudev/facialrecognition
Data collected thanks to dear misbah4064, algorithm for recognizing facial expressions with machine learning, still under construction.
machine-learning numpy python python3
Last synced: 11 Jan 2025
https://github.com/yc1909/data_job_classification_and_analysis
Data Classification and Analysis based on user's skillset.
classification exploratory-data-analysis feature-engineering machine-learning numpy pandas python scikit-learn
Last synced: 01 Jan 2025
https://github.com/milind220/hk-air-quality-analysis
My final project for a statistics and data analysis course. Whew that was a lot of graphs!
data-analysis jupyter-notebook numpy pandas python python3 scipy seaborn statistics
Last synced: 03 Jan 2025
https://github.com/daniel-furman/lwmcmc
MCMC parameter space sampling via Metropolis-Hastings
bayesian-inference mcmc metropolis-hastings-algorithm numpy parameter-space-sampling
Last synced: 10 Jan 2025
https://github.com/muralikrishnan-r14/image_dehazing_using_dark_channel_prior
Advanced Real-Time Image Dehazing with Dark Channel Prior for Enhanced Computer Vision
applications-autonomous-systems-and-robotics dark-channel-prior datascience image-processing machinelearning numpy opencv optimization-for-performance python3 real-time-processing
Last synced: 11 Jan 2025
https://github.com/importhuman/conway-s-game-of-life
A project to make Conway's Game of Life and learn more about Python.
conway-s-game-of-life matplotlib numpy python python3
Last synced: 26 Dec 2024
https://github.com/anujdutt9/cnn-deep-layer-filters-visualization
CNN Deep Layer Filters Visualization using Tensorflow.
convolutional-neural-networks hidden-layers numpy python35 tensorflow visualization
Last synced: 12 Jan 2025
https://github.com/lakshya-gg/spam-email-classification
Spam Email Detection using ML and SOCKET.IO
machine-learning numpy pandas python scikit-learn socket-io socket-programming streamlit
Last synced: 03 Jan 2025
https://github.com/imdeepmind/gender-by-just-firstname
A Neural Network approach to predict gender just by FirstName.
deep-learning gender-classification gender-classification-just-by-name keras machine-learning neural-network nlp numpy pandas python3
Last synced: 03 Jan 2025
https://github.com/vitkarpenko/fem-with-backward-euler-for-the-heat-equation
:fire: Solving the heat equation on square plate with finite element method in Python.
fem heat-equation numerical-methods numpy python
Last synced: 26 Dec 2024
https://github.com/rafinhadufluxo/calculonumerico
Trabalhos de Cálculo Numérico UFFS 📐📊
calculate-numbers exercices matematica mathematical-modelling matplotlib-figures numpy python3 student
Last synced: 26 Dec 2024
https://github.com/kinoute/l-layers-xor-neural-network
A L-Layers XOR Neural Network using only Python and Numpy that learns to predict the XOR logic gates.
arguments deep-learning neural-network numpy python python3 script xor xor-neural-network
Last synced: 04 Jan 2025
https://github.com/ehtisham-sadiq/ai-pioneers-datascience-arena
This repository is dedicated to the AI Amigos team's participation in the Artificial Intelligence (AI) competition with a focus on Data Science.
artificial-intelligence competition data-analysis data-science data-visualization machine-learning model-building model-evaluation numpy pandas python3 supervised-learning unsupervised-learning
Last synced: 11 Jan 2025
https://github.com/tanyachutani/neural-network-numpy
Neural Network (Multiple layers) from scratch using Numpy.
deep-neural-networks mnist neural-network neural-network-from-scratch numpy
Last synced: 10 Jan 2025
https://github.com/dheerajgits/skyhack
This repository supports a project aimed improve the efficiency of United Airlines' call center by predicting call handle times using machine learning. It analyzes factors like customer tone, call reason, and high-volume call times. A Flask web app delivers real-time predictions to enhance agent allocation, operations, and service quality.
call-center flask-application ivr machine-learning matplotlib natural-language-processing nltk-python numpy pandas seaborn skyhack
Last synced: 02 Jan 2025
https://github.com/olucaslopes/draw2text
AI-powered drawing recognition app that uses advanced machine learning algorithms to detect numbers in drawing sketches
cloudinary computer-vision deep-learning digit-recognition drawing-recognition handwriting-recognition image-classification image-processing image-segmentation keras keras-tensorflow machine-learning mnist neural-networks numpy opencv pandas python streamlit tensorflow
Last synced: 04 Jan 2025
https://github.com/syamkakarla98/machine_learning_course
This course covers the explanation and examples on supervised and unsupervised algorithms.
algorithm hacktoberfest hacktoberfest2019 jupyter-notebook machine-learning matplotlib neural-network numpy pandas python python3 scikit-learn scipy seaborn supervised-machine-learning tensorflow tutorial unsupervised-machine-learning
Last synced: 12 Jan 2025
https://github.com/sonu275981/face-mask-detection-web-app
Face Mask Detection web application built with Flask, Keras-TensorFlow, OpenCV. It can be used to detect face masks both in images and in real-time camera video using browser.
flask-application haar-cascade-classifier haarcascade-frontalface javascript keras-tensorflow mask mask-detection numpy opencv webapp
Last synced: 24 Dec 2024
https://github.com/serratotech/python3-for-finance
Investment fundamentals & data analytics exercises
anaconda conda data-analytics finance ipynb jupyter-notebook numpy pandas python python3 python35
Last synced: 24 Dec 2024
https://github.com/henriqueotogami/curso-de-python3-udemy
Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.
iris-dataset jupyter-notebook linear-regression numpy pandas-python python3 udemy
Last synced: 24 Dec 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: 18 Dec 2024
https://github.com/carlthome/ipytoolbox
A collection of IPython magics and other utilities
ipython jupyter matplotlib numpy
Last synced: 18 Dec 2024
https://github.com/pspanoudakis/data-mining-techniques-projects
Data Visualization 📊 Clustering and Classification 🗂️ techniques on Customer 🛍️ & Book 📖 datasets
customer-personality-analysis goodreads-data matplotlib numpy pandas python-typing seaborn sklearn-classifier sklearn-clustering wordcloud
Last synced: 18 Dec 2024
https://github.com/li-plus/tinynn
An educational PyTorch-like neural network framework based on NumPy
autograd deep-learning machine-learning neural-network numpy python
Last synced: 24 Dec 2024
https://github.com/rezaafaisal/air-quality-analytics
This project focuses on creating a dashboard using streamlit. The purpose is to analyze the air quality at each station in china whose dataset is sourced from kaggle.com.
dashboard data-visualization data-wrangling exploratory-data-analysis numpy pandas python streamlit
Last synced: 24 Dec 2024
https://github.com/tom-mohr/clevertable
Consistent, intelligent transformation of text-based tabular data into numerical data.
conversion data-science numpy pandas python
Last synced: 10 Jan 2025
https://github.com/5hraddha/sentiment-analysis
An innovative system for filtering and categorizing movie reviews
countvectorizer dummyclassifier lgbmclassifier logisticregression matplotlib minmaxscaler nltk nltk-stopwords nltk-tokenizer numpy pandas seaborn spacy tfidfvectorizer torch tqdm transformers
Last synced: 18 Dec 2024
https://github.com/rayyan9477/data-driven-house-price-prediction-and-property-recommendation-app
The app leverages algorithms to accurately predict house prices and recommend similar properties based on a saved dataset through content-based filtering. It is tailored for homebuyers seeking their dream house and real estate investors looking for profitable opportunities, providing powerful insights and data-driven decision-making support.
data-science eda html machine-learning numpy pandas python scikit-learn
Last synced: 10 Jan 2025
https://github.com/rayyan9477/machine-learning-driven-backorder-prediction-system
Experience a state-of-the-art Django web application designed to predict product backorders with exceptional accuracy. This platform leverages advanced machine learning techniques, incorporating pre-trained Random Forest Classifier, Decision Tree, and LGBM models.
matplotlib notebook numpy pandas python scikit-learn
Last synced: 10 Jan 2025
https://github.com/vbharadwaj-bk/python_cpp_tutorial
Code for a Tutorial on Writing C++ Extensions for Python.
Last synced: 24 Dec 2024
https://github.com/kento75/chainer-learn
chainer deep-learning numpy python36
Last synced: 19 Dec 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: 01 Jan 2025
https://github.com/ksatrajit0/heart-disease-prediction-ml
Predicts the risk of heart attack in a patient using their medical record
heart-disease-prediction machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 19 Dec 2024
https://github.com/kaleharshavardhan07/spam_mail-_detector_ai_model
This project implements a spam detection system for SMS messages using machine learning techniques.
mathplotlib nltk numpy panda python scikit-learn seaborn
Last synced: 19 Dec 2024
https://github.com/raihan4520/ml
A collection of machine learning projects showcasing various algorithms and techniques, including a final project for the Machine Learning course at AIUB.
data-preprocessing jupyter-notebook machine-learning model-evaluation numpy pandas python scikit-learn
Last synced: 19 Dec 2024
https://github.com/sd338/fractureai
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics
Last synced: 19 Dec 2024
https://github.com/datascience-py/speechrecognition
This repo create STT (ASR) models for you can use pre-training models or training self model
asr machine-learning matplotlib microphone models neural-network numpy python3 pytorch sklearn speech-recognition speech-to-text stt tensorflow-lite tensorflow2 web
Last synced: 19 Dec 2024
https://github.com/evardnk/dataanalyticsportfolio
Собрание моих проектов по аналитике данных
api automation data-analysis etl-pipeline jupyter-notebook jupyterlab kpis numpy pandas pipeline postgresql powerbi python sql visualization
Last synced: 19 Dec 2024
https://github.com/vartikaraj2512/animalclassification
🐾 Animal Classification: Classify 28K animal images into 10 categories using CNNs with Transfer Learning. 📥 Load & extract data, 🔄 preprocess images, 🧠 train models (VGG-16 & ResNet50), and 📈 plot performance. Libraries: OpenCV (BGR), TQDM (progress bars), Categorical (one-hot encoding). 🛠️ Install: pip install tensorflow numpy opencv-python
classification cnn kaggle machine-learning numpy opencv pandas tensorflow
Last synced: 19 Dec 2024
https://github.com/nomadsdev/financial-trend-analyzer
FinancialTrendAnalyzer helps analyze and visualize sales data to uncover financial trends. It uses Python to calculate total sales, track changes, and generate insightful charts for better decision-making.
business-intelligence data-analysis data-visualization financial-analysis matplotlib numpy pandas python revenue-trends sales-data seaborn time-series-analysis
Last synced: 19 Dec 2024
https://github.com/dipeshgoyal013/ipl_win_probability
A project which help you to check win probability of batting team in inning 2nd
machine-learning matplotlib numpy pandas python sklearn
Last synced: 19 Dec 2024
https://github.com/nirmalyabag20/breast-cancer-prediction-using-machine-learning
This project leverages machine learning to classify breast cancer as malignant or benign based on tumor characteristics. By applying and evaluating multiple algorithms, the model achieves high accuracy, demonstrating the practical application of data-driven solutions in medical diagnostics.
logistic-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 19 Dec 2024
https://github.com/abhinavsharma07/neural-network-using_numpy
Introduction to Neural Networks (Create a neural network using Numpy)
accuracy feed-forward model neural-networks numpy prediction
Last synced: 19 Dec 2024
https://github.com/amirdh17/reading-device-for-visually-impaired
This device looks like reading stand which can take photo of the book and read out for visually impaired person. Raspberry Pi 4 is used as controller. Major Python modules used are Pytesseract, OpenCV and Pytts.
autocorrect image-processing nlp numpy opencv-python pillow portable pytesseract-ocr python3 pyttsx3 raspberry-pi-3 skimage thonny
Last synced: 19 Dec 2024
https://github.com/ngirimana/ml_knn
Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.
artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon
Last synced: 01 Jan 2025
https://github.com/ngirimana/data-analyis-project
data-science matplotlib numpy pandas python seaborn
Last synced: 01 Jan 2025
https://github.com/ngirimana/decision-trees-and-random-forest-
For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).
artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn
Last synced: 01 Jan 2025
https://github.com/jhonatanthiago/projeto_inteligencia_artificial_em_python
Python IA: Inteligência Artificial e Previsões
inteligencia-artificial ipython-notebook numpy pandas-python previsao python sklearn
Last synced: 24 Dec 2024
https://github.com/abeed04/hotel-bookings-prediction-using-machine-learning
Random forest algorithm can be used to analyze hotel booking data and predict booking behavior. This allows hotels to optimize pricing strategies, staffing, and identify potential cancellations for proactive guest communication.
flask numpy pandas-dataframe pickle-file pycharm-ide python randomforestalgorithm sklearn-library sklearn-metrics
Last synced: 19 Dec 2024
https://github.com/semihbugrasezer/rockvsmine
Rock vs Mine Prediction with Python | Machine Learning Project
Last synced: 25 Dec 2024
https://github.com/dhruvsrikanth/pynn
Purely NumPy based API for building deep neural networks.
deep-learning deep-learning-framework machine-learning numpy python pytorch
Last synced: 25 Dec 2024
https://github.com/emersonpenelli/100-days-of-code-with-python
Repositório da jornada de 100 dias codando em Python.
100daysofpython flask numpy pandas plotly python selenium-webdriver sqlite tkinter
Last synced: 25 Dec 2024
https://github.com/savitar-hub/image-classification
Notebooks on how image classification can help businesses make better decisions and improve the customer experience.
image-classification image-processing jupyter-notebook numpy opencv pandas pytorch tensorflow
Last synced: 25 Dec 2024
https://github.com/meqdaddev/pixcraft
Welcome to PixCraft... Unleash the Power of Pixels
edge-detection flask gaussian-blur image-processing matplotlib matplotlib-pyplot numpy opencv opencv-python python
Last synced: 10 Jan 2025
https://github.com/ksharma67/ibm-stock-predication-wiith-eda
In this i tried to design a model that can predict the price of stock using different methods and algorithms.
bullish-signal death-cross decision-tree eda golden-cross gradient-boosting knn machine-learning-algorithms matplotlib numpy pandas prediction python random-forest scalar seaborn skit-learn svm xgboost
Last synced: 25 Dec 2024
https://github.com/shreeparab1890/movie-recommender-system
This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization
Last synced: 01 Jan 2025
https://github.com/shreeparab1890/flipkart-laptops-analysis-eda
This ipython notebook is the Exploratory data analysis (EDA) of the Laptops listed on Flipkart.
data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly
Last synced: 01 Jan 2025
https://github.com/psp515/differentalequations
Differental Equations course on AGH UST 22/23.
numerical-methods numpy python
Last synced: 25 Dec 2024
https://github.com/rakibhhridoy/machinelearning-featureselection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest
Last synced: 25 Dec 2024
https://github.com/rakibhhridoy/exploratorydataanalysis-python
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
ab-testing chitest data-science eda exploratory-data-analysis ftest hypotheses hypothesis-testing inferential-statistics numpy pandas python statistical-analysis statistics statsmodels ttest
Last synced: 25 Dec 2024
https://github.com/rakibhhridoy/easywaydiveinto-datascience
Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.
algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow
Last synced: 25 Dec 2024
https://github.com/rakibhhridoy/imageprocessing
Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.
augmentation deep-learning functional-programming image-manipulation image-processing keras machine-learning numpy python sequential-patterns tensorflow
Last synced: 25 Dec 2024
https://github.com/anfany/python3-practice
基于Python3的多种工具实例代码、以及流行库的使用贴士
matplotlib numpy pandas python3 tensorflow tips
Last synced: 25 Dec 2024
https://github.com/nazli-d/binary-classification-using-cnn
This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.
binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow
Last synced: 02 Jan 2025
https://github.com/amirhnajafiz-university/s7dc01
Final project of Data Communications course
data-communication matplotlib modulation numpy python scipy signal signal-processing
Last synced: 26 Dec 2024
https://github.com/ryanfranklin237/data-science-ml
trained machine learning models to give accurate classifications,predictions and recommendations
data-science jupyter-notebooks kaggle logistic-regression naive-bayes-algorithm numpy pandas scikitlearn-machine-learning
Last synced: 26 Dec 2024
https://github.com/arif-miad/loan-application-risk-prediction-
Comparing multiple classification models for performance 🎯
data-science feature-engineering machine-learning matplotlib numpy pandas python random-forest-classifier regression seaborn
Last synced: 26 Dec 2024
https://github.com/jayanthsd2003/ams-attendance_management_system
Project based on AMS-Attendance Management System
anaconda-navigator anaconda3 datetime face-recognition glob haarcascade-frontalface numpy opencv os pandas python python3 text-to-speech tkinter visual-studio-code
Last synced: 02 Jan 2025
https://github.com/gracysapra/pandas-numpy-data-visualisation
This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.
data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn
Last synced: 10 Jan 2025
https://github.com/fatma-moanes/machine-learning-labs
My implementation for the labs of the Machine Learning course that I studied in my university, Zewail City.
bootstrap data-analysis data-science deep-learning keras knn-classification linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib ml neural-networks numpy pandas pca preprocessing python seaborn svm-classifier
Last synced: 02 Jan 2025
https://github.com/fatma-moanes/deep-learning-labs
My implementation for the labs of the Neural Networks and Deep Learning course that I studied at my university, Zewail City.
classification cnn data-science deep-learning gan keras matplotlib neural-network-architectures neural-networks numpy pandas preprocessing python regression-models regularization seaborn tensorflow time-series-analysis
Last synced: 02 Jan 2025
https://github.com/michael-insights/portfolio
This repository showcases my projects and skills in Data Analytics, Data Science, and Machine Learning. It includes hands-on work in data analysis, predictive modeling, and machine learning algorithms, aimed at solving real-world problems.
data-analytics data-science data-visualization datapreprocessing jupyter-notebooks machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn sql
Last synced: 26 Dec 2024
https://github.com/aymen016/film-recommendation-engine
A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.
flask numpy pandas pickle python scikit-learn streamlit
Last synced: 26 Dec 2024
https://github.com/e-candeloro/data-analysis-code-snippets-for-pandas-and-sklearn
These notebooks are useful to learn how to load, understand, clean and classify data using Pandas and Sklearn with Python
analysis big-data classification data datascience datavisualization machine-learning notebook numpy pandas python sklearn
Last synced: 26 Dec 2024
https://github.com/itancio/realestateprice
This is an application of deep learning to train and predict real estate price dataset in King County, USA.
datat-visualization machine-learning numpy pandas python seaborn
Last synced: 02 Jan 2025
