Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
NumPy
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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: 2025-02-20 00:20:52 UTC
- JSON Representation
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: 12 Feb 2025
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/atul-maurya-30/galaxy
Galaxy Classification is a machine learning project focused on classifying galaxies into two subclasses: 'STARFORMING' and 'STARBURST'. This project demonstrates data preprocessing, model training, and evaluation using advanced machine learning techniques and Python libraries.
flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
Last synced: 09 Feb 2025
https://github.com/ghaniketrajputp005/adobe-gensolve-hackathon-2024
This Project aims to identify, regularize, and beautify curves in 2D Euclidean space.
cv2 keras-tensorflow numpy os sklearn
Last synced: 09 Feb 2025
https://github.com/mustafaozvardar/image-classification-webapp
This project features an AI model for diagnosing pneumonia from chest X-ray images. Users can upload a chest X-ray image through the app, and the model will classify it.
artificial-intelligence computer-vision keras numpy python streamlit streamlit-webapp tensorflow
Last synced: 09 Feb 2025
https://github.com/ramy-badr-ahmed/higgs-dataset-training
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
binary-classification cuda-toolkit cupy dask dask-dataframes higgs-boson keras keras-tensorflow matplotlib matplotlib-python numpy pandas pandas-dataframe scikit-learn uci-dataset uci-machine-learning
Last synced: 09 Feb 2025
https://github.com/ankitpundir7/group-face-emotion-recognition
This project can identify and categorize human emotions in both static and dynamic context. Duration : Jun 2023 - Jul 2023
convolutional-neural-networks deep-learning keras machine-learning-algorithms numpy opencv python tensorflow
Last synced: 09 Feb 2025
https://github.com/shwetapardhi/assignment-03-q1--hypothesis-testing
Q1.A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit
hypothesis-testing numpy p-value pandas python scipy significance-testing stats t-test
Last synced: 10 Jan 2025
https://github.com/sandyg6/breast-cancer-classification
Building a Breast cancer classification model using Random Forest Classifier and deploying it to a web application using Flask framework
flask html-css-javascript numpy pandas python random-forest-classifier
Last synced: 20 Jan 2025
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1
Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi
correlation-analysis data-visualization distplot eda feature-engineering model-building model-prediction model-testing numpy ols-regression p-value pandas python regression-plot rsquare-values seaborn simple-linear-regression smf statsmodel t-score
Last synced: 10 Jan 2025
https://github.com/ieCecchetti/Python_ML_DL_examples
A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme
bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi
Last synced: 23 Oct 2024
https://github.com/yashbhutwala/pong-ai
Deep Q-Learning Networks vs. Policy Gradient Learning in OpenAI Gym's Pong Environment
deep-q-learning numpy openai-gym policy-gradient pong python tensorflow
Last synced: 16 Feb 2025
https://github.com/sudarsann27/basic_machine_learning_algorithms
Basic Machine learning algorithms using scikit-learn and other fundamental libraries
data-science data-visualization ensemble-model kaggle numpy pandas scikit-learn supervised-machine-learning
Last synced: 13 Feb 2025
https://github.com/amiriiw/digit_classification
Welcome to the Digit Classification Project! This project focuses on training a model to classify handwritten digits and using the trained model to predict digits from new images.
digit-classification keras mysql mysql-database numpy os sklearn tensorflow
Last synced: 03 Nov 2024
https://github.com/estaheri7/dotawinpredictor
This project aims to predict the outcome of Dota 2 matches based on the heroes picked by both the Radiant and Dire teams
data-science dota2 machine-learning numpy pandas python random-forest sklearn support-vector-machines
Last synced: 09 Feb 2025
https://github.com/shreenidhi7700/rice-leaf-disease-prediction-using-convolutional-neural-network
Classifying images of rice leaf disease plants into various disease categories using Convolutional Neural Network
convolutional-neural-networks efficientnet inceptionv3 jupyter-notebook keras machine-learning matplotlib numpy os python resnet50 seaborn shutil-python tensorflow transfer-learning xception
Last synced: 13 Feb 2025
https://github.com/niteshchawla/online-marketing-time-series-case-study
An ads and marketing based company helping businesses elicit maximum clicks @ minimum cost.
acf arima-forecasting exogenous-factors exploratory-data-analysis numpy pacf-autocorrelation pandas prophet-facebook-model sarimax-model time-series-analysis
Last synced: 18 Feb 2025
https://github.com/andremenezesds/house_rocket_sales_insights
Data analysis for House Rocket Sales Company database, including insights for sales optimization.
data-analysis data-visualization geopandas git github jupyter-notebook linux numpy pandas powerbi python seaborn seaborn-python streamlit streamlit-webapp ubuntu vscode windows10
Last synced: 14 Feb 2025
https://github.com/shwetapardhi/assignment-1-q7--basic-statistics-level-1
Q7) Calculate Mean, Median, Mode, Variance, Standard Deviation, Range & comment about the values / draw inferences, for the given dataset For Points,Score,Weigh> Find Mean, Median, Mode, Variance, Standard Deviation, and Range and also Comment about the values/ Draw some inferences. Use Q7.csv file
mean median mode numpy pandas python range standard-deviation variance
Last synced: 10 Jan 2025
https://github.com/shwetapardhi/assignment-3-q3-hypothesis-testing
Chi2 contengency independence test image of Buyer Ratio Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does v
chi2-contingency contingency-analysis hypothesis-testing norm numpy pandas python scipy stats
Last synced: 10 Jan 2025
https://github.com/sumaiyyaf/spotify-data-analysis
This project explores Spotify music data, using Python to clean, analyze, and visualize the dataset. It examines the relationship between audio features and sentiment in song lyrics, uncovering patterns and trends to provide valuable insights into music preferences.
Last synced: 07 Feb 2025
https://github.com/sumaiyyaf/movie-industry-analysis
This project focuses on the acquisition and in-depth analysis of movie data to generate strategic recommendations, guiding our hypothetical company's successful entry into the movie industry.
exploratory-data-analysis numpy pandas python visualization webscraping
Last synced: 07 Feb 2025
https://github.com/thoughtscript/python_api_2023
Some fun with Flask, Python, and Machine Learning
angular docker docker-compose flask machine-learning mysql numpy
Last synced: 24 Jan 2025
https://github.com/ola-kaznowska/ai-python
Artificial Neural Networks in Python
ai artificial-intelligence artificial-neural-networks machine-learning numpy numpy-library python3 tensorflow tensorflow2
Last synced: 24 Jan 2025
https://github.com/calcagnoloic/algo_data_plot_ml_playground
Carry out a series of exercises related to different aspects of Python: algorithmic, data manipulation with NumPy/Pandas, data visualization with PyPlot/Seaborn and the base of machine learning (KNN/logistic)
data-structures database datetime dictionary input-output json list loops machine-learning matplotlib numpy pandas poo python set tuple unittest uuid
Last synced: 26 Jan 2025
https://github.com/techcsispit/algorithmic-trading
This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.
matplotlib numpy pandas python sklearn
Last synced: 31 Oct 2024
https://github.com/andrewsy1004/logistic-regression-spam-classifier
This project implements a spam email classifier using Logistic Regression.
Last synced: 12 Feb 2025
https://github.com/samp1012/email_sms_spam_detector
An Email/SMS spam classifier that aims to identify and distinguish between spam and non-spam messages.
multinomial-naive-bayes naive-bayes-classifier natural-language-processing numpy pandas python scikit-learn spam-detection text-vectorization tokenization
Last synced: 12 Feb 2025
https://github.com/nurulashraf/linear-regression-spotify
Data Science - Spotify Linear Regression Analysis
data-analysis data-preprocessing data-visualization dataset-exploration feature-selection linear-regression machine-learning matplotlib mean-squared-error model-evaluation multiple-regression music-analytics numpy predictive-modeling python regression-analysis root-mean-squared-error scikit-learn seaborn spotify-data
Last synced: 12 Feb 2025
https://github.com/dyk-team/vna-impedance-measurements
Calibration and deembedding for impedance measurments on PCB cells
antenna-equation cst-studio de-embedding delay-time lab-automation magneto-impedance microstrip numpy pcb-cells phase-unwrapping probe python rohde-schwarz scattering-parameters scpi-instruments sensors solt-calibration surface-impedance vna zhejiang-university
Last synced: 18 Feb 2025
https://github.com/iusztinpaul/airbnb-data-analysis
Airbnb data analysis on the biggest cities in The Netherlands following the CRISP-DM methodology.
airbnb data datanalysis datascience machine-learning numpy pandas python
Last synced: 20 Jan 2025
https://github.com/iusztinpaul/ibm-assets-recommendation-engine
Deployable recommendation system for predicting the fittest IBM articles for a given user.
ibm machine-learning numpy pandas python recommendation-engine recommendation-system svd-matrix-factorisation
Last synced: 20 Jan 2025
https://github.com/blackcub3s/msc-finalthesis
The most important programming files, code functions and data processing pipelines for the Machine learning final thesis of my Master's degree. Also, the LaTeX code of the thesis.
data-analysis latex machine-learning numpy python sklearn
Last synced: 05 Jan 2025
https://github.com/sudarshanc00/smishing
This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.
nltk numpy pandas python scikit-learn scipy
Last synced: 20 Jan 2025
https://github.com/samir-atra/experiments_and-_improvements
A repository showing the knowledge in some of the machine learning technologies there are.
dcgan-tensorflow numpy tensorflow-tutorials tensorflow2
Last synced: 09 Feb 2025
https://github.com/katerynazakharova/machine-learning
Example of a ML algorithm.
gradient-boosting-classifier gridsearchcv machine-learning ml numpy pandas python3
Last synced: 31 Jan 2025
https://github.com/jbayardo/aa-tp2
Q-Learning for Four in a row
matplotlib numpy python q-learning
Last synced: 02 Feb 2025
https://github.com/jbayardo/dip-tp2
compression image-processing jpeg numpy python scikit-image
Last synced: 02 Feb 2025
https://github.com/jbayardo/dip-tps
coursework image-processing introduction jupyter-notebook matplotlib notebook numpy python scikit-image scipy
Last synced: 02 Feb 2025
https://github.com/elmezianech/email-spam-ham-classifier-lr
Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.
ai emails jupyter-notebook logistic-regression machine-learning ml numpy pandas python spam-detection spam-filtering tfidfvectorizer
Last synced: 16 Jan 2025
https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset
Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 Feb 2025
https://github.com/rushilsharma1/iphonesales_eda
An exploratory data analysis of an Iphone sales in jupyter notebook with the help of python and its libraries
data-science exploratory-data-analysis jupyter-notebook numpy pandas python seaborn
Last synced: 11 Feb 2025
https://github.com/ricardorobledo/weldingdefectdetection
Welding Defect Detection
css3 fastapi html5 javascript kaggle-dataset numpy opencv ultralytics yolov8
Last synced: 17 Feb 2025
https://github.com/rzxmha/linear_algebra
Linear Algebra project from TripleTen
blas computational-science cuda data-science data-visualization eigenvectors gram-schmidt linear-transformations matrix-calculations numpy nvidia python symmetric-matrices typescript
Last synced: 02 Feb 2025
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 Jan 2025
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 Jan 2025
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 Jan 2025
https://github.com/hansalemaos/cppradixsort
parallel_radixsort from C++ for Python (Windows)
cpp numpy parallel-computing python sort
Last synced: 13 Jan 2025
https://github.com/surayasumona/ford_used_car_analysis
Explanatory Data Analysis with Python
data-science data-visualization matplotlib numpy pandas python seaborn
Last synced: 24 Jan 2025
https://github.com/djdhairya/fish-species-detection-and-recognition
Dataset
deep-learning epoch heatmap mobilenetv2 numpy pandas relu sckiit-learn train-test-split
Last synced: 12 Feb 2025
https://github.com/zohrabgulushev/data-science-with-python
machine-learning matplotlib numpy pandas seaborn skicit-learn sklearn statsmodels
Last synced: 12 Feb 2025
https://github.com/sanjanahombal/sentiment-analysis-using-neural-networks
This project explores sentiment analysis using neural networks
convolutional-neural-networks countvectorizer deep-learning keras matplotlib neural-network numpy python tensorflow tfidf-vectorizer
Last synced: 31 Oct 2024
https://github.com/docsallover/fake-news-detection
Fake News Detection Using NLP
fakenewsdetection machine-learning machine-learning-algorithms machinelearning machinelearning-python matplotlib nlp nlp-machine-learning numpy pandas scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/tamk-kol/project_orbital_data_analysis
The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.
matplotlib numpy pandas scikit-learn
Last synced: 31 Oct 2024
https://github.com/carmoreno/aviones-aldeas
:airplane: Final project o Complexity and Optimisation course :house_with_garden:
Last synced: 05 Jan 2025
https://github.com/shengyuan-lu/numpy-notes
My NumPy Studying Notes For CS 116 (Python)
Last synced: 09 Feb 2025
https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-
The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.
data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn
Last synced: 17 Feb 2025
https://github.com/brenderb/python-projects
General interest and school python projects I completed. Included are lab analysis files (with uncertainty analysis, fitting, and graphing), simulation files (visualization of electric+magnetic fields, etc), specific research project files (data extraction + processing for a building science lab, graphs for a medical physics paper) and misc files
csv fitting matlab matplotlib numpy os pandas pyplot python scipy uncertainty
Last synced: 11 Feb 2025
https://github.com/sudarshanasrao/ee541-deep_learning-usc
USC graduate level Deep Learning course
cnn deep-learning mlp-networks neural-networks numpy python pytorch scipy
Last synced: 13 Jan 2025
https://github.com/s-h-i-v-i-s/bangalore-housing-price-prediction
A Machine Learning Project to predict Bangalore House Prices.
jupyter-notebook machine-learning matplotlib numpy pandas python pythonflask sklearn
Last synced: 05 Jan 2025
https://github.com/akansharajput280799/data-exploration-and-visualization-for-streaming-platform
Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.
data-visualization excel exploratory-data-analysis matplotlib numpy python seaborn
Last synced: 02 Feb 2025
https://github.com/sutterseba/des-python
A simple DES implementation in Python
Last synced: 05 Jan 2025
https://github.com/akansharajput280799/covid19-impact-analysis-usa
Data Analysis and Predictive Modeling to study COVID-19 impact across age groups, regions, and seasons in the USA.
classification-algorithm clustering-algorithm data-preprocessing data-visualization descriptive-statistics exploratory-data-analysis matplotlib numpy pandas seaborn
Last synced: 02 Feb 2025
https://github.com/eesunmoon/genai_cor-recom
[Project] Outfit Coordination Recommender System using KoAlpaca
data-analysis fine-tuning generative-ai huggingface keyword llm numpy pandas python python3 selenium
Last synced: 02 Feb 2025
https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics
✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control
Last synced: 02 Feb 2025
https://github.com/syedzaheerabbas/risk-analytics-with-python
This project focuses on developing a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.
eda hypothesis-testing numpy pandas python risk-analysis seaborn
Last synced: 02 Feb 2025
https://github.com/vishal-verma-96/pre-owned-car-price-prediction-using-streamlit-app
Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app
data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn streamlit
Last synced: 02 Feb 2025
https://github.com/kheriberto/knn_project
This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.
data-analysis knn-classifier numpy python scikit-learn seaborn
Last synced: 02 Feb 2025
https://github.com/vidushibhadana/eda-on-nyc-taxi-data
About Conducting an Exploratory Data Analysis (EDA) on New York City taxi data and visualizing it through countplots, distribution plots (displot), and histograms using Python and it's libraries.
data data-visualization jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 02 Feb 2025
https://github.com/shreedata/data-analysis-using-python-libraries-
The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
covid-19 data data-cleaning data-visualization datana kaggle-dataset matplotlib numpy pandas-python python3 pythonlibrarires scikit seaborn
Last synced: 02 Feb 2025
https://github.com/an4pdm/exercicios-de-numpy
Repositório com exercícios básicos de Numpy para praticar.
exercicios-python exercicios-resolvidos exercises jupyter-notebook jupyterlab numpy numpy-exercises numpy-python python study tutorials
Last synced: 13 Jan 2025
https://github.com/winstxnhdw/pyalign
An over-engineered website for aligning multiline strings to a common character with PyScript.
Last synced: 23 Oct 2024
https://github.com/arv-anshul/notebooks
My Jupyter notebooks in which I practice data science.
classification data-analysis data-science jupyter-notebook machine-learning matplotlib numpy pandas python3 regression seaborn visualization
Last synced: 17 Feb 2025
https://github.com/arv-anshul/campusx-graphs
Contains all the graphs provided by CampusX to learn Statistics and Algebra with some added feature.
algebra campusx-dsmp data-science matrix numpy statistics streamlit vizualisation
Last synced: 17 Feb 2025
https://github.com/yalai92/master_academic_projects
This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.
automation clustering data-merging google-colab jupyter-notebook machine-learning matplotlib numpy pandas powerbi python sklearn xgboost
Last synced: 20 Jan 2025
https://github.com/archish27/pythontutorial
Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications
matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup
Last synced: 20 Jan 2025
https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis
Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.
forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed
Last synced: 17 Feb 2025
https://github.com/rakibhhridoy/differentprojects
Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!
data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics
Last synced: 17 Feb 2025
https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression
Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.
deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn
Last synced: 17 Feb 2025
https://github.com/rakibhhridoy/covid19analysisindashboard-tableau
Covid19 dashboard analysis of world,north america,south east Asia and their characteristics upon pandemic. Some interesting statistics is shown by the data. The increase rate make effect on death and recover rate quite periodic. Simulating those changes make more interactive.
covid-19 dashboard data-processing dataviz numpy pandas python statistics tableau tableau-dashboards
Last synced: 17 Feb 2025
https://github.com/nova-land/kalmanfilter-python
Kalman Filter in PyTorch and Numpy
kalman-filter numpy python pytorch
Last synced: 26 Jan 2025
https://github.com/marknature/fashion-recommender-system
The Fashion Recommender System is an image-based recommendation engine that suggests similar clothing items based on user-uploaded images
cv2-library numpy opencv-python os pickle pil python3 skle streamlit tensorflow tqdm
Last synced: 13 Jan 2025
https://github.com/marknature/machine-learning-intern
Machine Learning tasks involving the Titanic Dataset and Breast Cancer Wisconsin (Diagnostic) dataset
data-analysis github jupiter-notebook machine-learning matplotlib numpy pandas python scikit-learn sklearn
Last synced: 13 Jan 2025
https://github.com/marknature/opencv-bootcamp
If you are looking to take your first steps towards learning Computer Vision and AI using OpenCV, this is the best OpenCV course to jumpstart your career.
anaconda computer-vision cv2-library ffmpeg jupyter-notebook matplotlib numpy opencv os urllib zipfile
Last synced: 13 Jan 2025
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: 05 Jan 2025
https://github.com/mgitrov/cnn-on-cifar-10
A computer vision project aiming to classify random images uploaded by the user.
artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter
Last synced: 02 Feb 2025
https://github.com/mgitrov/ann-from-scratch
An artificial neural network implemented from scratch using numpy only.
artificial-neural-networks deep-learning guide numpy
Last synced: 02 Feb 2025
https://github.com/mgitrov/kulo-chatbot
A retrieval based chatbot aiming to simulate human-like conversation with the user via text messages on chat.
artificial-neural-networks bag-of-words deep-learning json keras lemmatization natural-language-processing nltk numpy tkinter tokenization
Last synced: 02 Feb 2025
https://github.com/mgitrov/coce
A deep learning-based project aiming to classify images out of 10 classes.
computer-vision convolutional-neural-networks deep-learning docker fastapi keras matplotlib numpy pillow regularization
Last synced: 02 Feb 2025
https://github.com/mgitrov/lifespan-x-population-status
A machine learning project aiming to predict animals' lifespan and population status.
bs4 data-science machine-learning matplotlib numpy pandas python regular-expressions requests seaborn sklearn
Last synced: 02 Feb 2025
https://github.com/saro0307/exploratory-data-analysis-terrorism
Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023
colaboratory data-analysis datascience machine-learning numpy pandas python seaborn skit-learn visualization
Last synced: 13 Jan 2025
https://github.com/saro0307/unemployment-analysis
This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.
data-science datavisualization machine-learning matplotlib numpy pandas python seaborn skit-learn
Last synced: 13 Jan 2025
https://github.com/foggysmile/ml_labs_itmo
Лабораторные работы по машинному обучению
bert decision-trees jupyter-notebook machine-learning numpy pandas random-forest xgboost
Last synced: 31 Oct 2024