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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/rtgrt5645/numpy-lab
🧮 Explore, manipulate, and visualize data with NumPy to enhance your Python skills in scientific computing and data analysis.
array-operations data-analysis data-science jupyter-notebook machine-learning numerical-computing numpy numpy-arrays numpy-library numpy-python python python3 scientific-computing
Last synced: 04 May 2026
https://github.com/jakubfr4czek/apartment-prices-analysis
This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.
agh agh-wi analysis csv jupyter jupyter-notebook krakow numpy pandas price-analysis price-prediction probability probability-statistics python statistics statistics-learning
Last synced: 04 May 2026
https://github.com/manuethomas/credit-default-risk-analysis-eda
This repository contains the detailed EDA analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices
bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis
Last synced: 04 May 2026
https://github.com/abhinav330/911-emergency-calls-analysis
This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.
data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python
Last synced: 09 Jun 2026
https://github.com/katalekoweb/full-python-course-for-ai
Full python curse for AI
matplotlib numpy pandas python3 requests
Last synced: 04 May 2026
https://github.com/youssefyaser/scrape-the-imdb-site-for-the-top-250-movies
Web scraping the top 250 movies in IMDB site.
data-analysis numpy pandas python
Last synced: 04 May 2026
https://github.com/abhishekyadav915/e-commerce-sales-analysis
E-Commerce Sales Analysis is a data analysis project that explores sales data from an e-commerce platform to uncover insights and trends. The analysis includes visualizing sales performance, customer behavior, and product trends to help optimize business strategies and improve customer satisfaction.
matplotlib-pyplot numpy pandas-library plotly python3
Last synced: 04 May 2026
https://github.com/dyrits/parite
OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON
matplotlib numpy pandas python
Last synced: 04 May 2026
https://github.com/surayasumona/test_bowlers_analysis
Data Analysis with Python
data-analysis data-manipulation data-preprocessing numpy pandas
Last synced: 04 May 2026
https://github.com/aqueeqazam/machine-learning-using-scikit
This repository contains all of the algorithms used to train the machine learning models using the Scikit library.
Last synced: 04 May 2026
https://github.com/alphan26/optimal-logistics-locator
This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India
numpy pandas python sckit-learn
Last synced: 04 May 2026
https://github.com/asuquoaa/applied_data_science_with_python_study
Notes, codes and practicals on the Applied Data Science with Python specialization by UM
matplotlib numpy pandas seaborn
Last synced: 04 May 2026
https://github.com/kaungkhantkyaw1997/face_recognition
A Computer Vision tool designed to identify and recognize characters in images.
face-recognition flask numpy opencv
Last synced: 05 May 2026
https://github.com/dmkk01/mlp-python
Implementation of a multilayer perceptron using Pytorch and Numpy libraries
Last synced: 05 May 2026
https://github.com/lorenzorottigni/ml-missing-values
Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy
column-transformer machine-learning missing-values numpy simple-imputer
Last synced: 05 May 2026
https://github.com/lin826/nanogpt-demo
Training and finetuning local GPTs.
gpt nanogpt numpy pytorch tqdm transformers
Last synced: 05 May 2026
https://github.com/jokoum/sentiment-classification
Multi-layer Perceptron classification of product reviews written in Greek language
flask machine-learning multilayer-perceptron-network neural-network numpy python sentiment-classification
Last synced: 05 May 2026
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: 05 May 2026
https://github.com/thekartikeyamishra/object-detection-for-retailer
The AI Customer Feedback Summarizer is a Python-based tool that uses extractive summarization techniques to provide concise summaries of customer feedback.
ai computer-vision cv2 numpy pillow python torch torchvision yolov5
Last synced: 05 May 2026
https://github.com/shwetapardhi/assignment-1-q9_a--basic-statistics-level-1
Q9) Calculate Skewness, Kurtosis & draw inferences on the following data Cars speed and distance Use Q9_a.csv
kurtosis matplotlib-pyplot numpy pandas python seaborn skewness
Last synced: 05 May 2026
https://github.com/tomaslopera/modelos_simulacion
jupyter-notebook matplotlib-pyplot modeling-and-simulation numpy pandas scipy seaborn
Last synced: 05 May 2026
https://github.com/adamsochorec/applied-machine-learning
machine-learning numpy pandas python
Last synced: 05 May 2026
https://github.com/egorouv/deepmachinelearning
DML Course
deep-machine-learning numpy python pytorch sklearn
Last synced: 05 May 2026
https://github.com/iamwatchdogs/retail-insights-from-superstore-data
An simple Data Analysis Project for finding insight within the Super store data set
conda-environment data-analytics jupyter-notebook matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/meicloudie/demo-python-data-analytics
Python Data Analytics
data-analyst jupyter matplotlib numpy pandas python work-project
Last synced: 05 May 2026
https://github.com/sahu-sakshi/covid-19
A comprehensive data analysis project for COVID-19 pandemic data, featuring automated data collection, feature engineering, visualization tools, and exploratory analysis notebooks.
Last synced: 05 May 2026
https://github.com/csgn/numpy-tr-docs
docs documentation np numpy numpy-tr-docs tr-docs turkish
Last synced: 05 May 2026
https://github.com/vc-nithesh944/pandas_numpy
Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision
Last synced: 05 May 2026
https://github.com/smit-joshi814/mlp
Machine Learning Using Python
classification decision-trees k-means-clustering knn machine-learning machine-learning-models matplotlib numpy pandas regression seaborn svm
Last synced: 05 May 2026
https://github.com/kbunwong/stock-price-prediction-using-lstm
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
google-colab jupyter-notebook keras-tensorflow lstm-model machine-learning matplotlib numpy pandas python visualization yfinance
Last synced: 05 May 2026
https://github.com/nabilshadman/multiprocessing-time-series-data-simulation
A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples
multiprocessing numpy pandas scipy simulation statistics time-series
Last synced: 05 May 2026
https://github.com/thomasa/python-intro
This is a Jupyter notebook slide show for a 2-hour crash intro to Python, NumPy, Matplotlib, and SciPy
matplotlib numpy python scipy tutorial
Last synced: 05 May 2026
https://github.com/celineboutinon/bookworms
OpenClassrooms Data Analyst 2022-2023 - Projet 6
apriori-algorithm data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot mlxtend numpy pandas python scikit-learn scikit-posthocs scikitlearn seaborn statsmodels
Last synced: 05 May 2026
https://github.com/13anush/python-libraries-
A collection of essential Python libraries—NumPy, Pandas, Matplotlib, and Seaborn—perfect for anyone starting out in data analysis.
data-analysis matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/zafir100100/cancer-stage-prediction
This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.
cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn
Last synced: 05 May 2026
https://github.com/hitthecodelabs/petalanalyticsstreamlit
Web application developed with Streamlit that predicts the Iris flower type based on its physical features
matplotlib model numpy pickle python scikit-learn sklearn streamlit
Last synced: 05 May 2026
https://github.com/saksham-21/data_analysis-on-hindustan-times-
Performed a proper NLP based analysis from the headlines, date published and the category of the news. Moreover created a interactive Dashboard on Tableau
beautifulsoup matplotlib numpy pandas tableau
Last synced: 05 May 2026
https://github.com/cicku/en.650.672
HW of EN.650.672
analytics data-analysis numpy pandas
Last synced: 05 May 2026
https://github.com/lohiyah/dataset_summariser
A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).
matplotlib numpy pandas seaborn
Last synced: 05 May 2026
https://github.com/yenk/human-genomic-meta-analysis
Meta analysis of genomic studies to better understand if telomeres in the human genome are impacted by age from wild animals data.
linear-regression machine-learning matplotlib numpy scipy
Last synced: 05 May 2026
https://github.com/rayan-alam-uoit/space-x-launch-prediction-tool
A full-stack data science project analyzing SpaceX launch data using web scraping, REST APIs, SQL, interactive visualizations, and machine learning in Python to explore trends and predict launch success.
dash data-science folium jupyter-notebook machine-learning matplotlib numpy pandas plotly python seaborn sql sqlite
Last synced: 05 May 2026
https://github.com/ranaessam03/climate-prediction
A machine learning project to predict rainfall using Decision Tree, k-Nearest Neighbors (kNN), and Naïve Bayes, with preprocessing, model evaluation, and custom kNN implementation.
decision-trees knn-classification machine-learning naive-bayes-classifier numpy sklearn
Last synced: 05 May 2026
https://github.com/patilsukanya/house-price-prediction
Libraries Used
matplotlib numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/tapas-gope/diwali-sales-analysis
Analyze Diwali Sales Data to improve customer experience and sales.
exploratory-data-analysis matplotlib-pyplot numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-graph
A demo of creating a 3d scatter graph.
3d graph matplotlib numpy pandas python scatter web
Last synced: 05 May 2026
https://github.com/himanshigautam-rgb/python_libraries
This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.
matplotlib numpy pandas python3
Last synced: 05 May 2026
https://github.com/chdl17/marvelvsdc
This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.
excel jupyter-notebook numpy pandas python tableau-public
Last synced: 05 May 2026
https://github.com/anushkundu/crime-pattern-analysis
Analyzing Crime Patterns in Montgomery County, USA: An Inclusive Study Based on NIBRS Data (2016-2022)
data-analysis data-visualization descriptive-statistics matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/zuhairzia/customer-segmentation
📖 About Customer Segmentation using KMeans clustering to analyze demographics, income, and spending. Helps businesses with targeted marketing and customer insights.
joblib matplotlib numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/theadeelahmed/mall-customers-segmention
This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn
matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering
Last synced: 05 May 2026
https://github.com/pyladiesams/python-oss-sprints-mar2024
Sprints to contribute to the most popular data and AI Python OSS libraries
conda dask geopandas jupyter matplotlib numpy pandas pymc sklearn
Last synced: 05 May 2026
https://github.com/voidwalker7/mnist
MNIST Digit Detector Model using only Numpy
from-scratch-in-python mnist numpy python
Last synced: 05 May 2026
https://github.com/pramodyasahan/cifar-10-object-recognition
This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.
convolutional-neural-networks numpy python tensorflow
Last synced: 05 May 2026
https://github.com/anas436/generating-maps-with-folium-using-python
folium ibm-watson numpy pandas pulgins python3 wget
Last synced: 05 May 2026
https://github.com/jonad/quora_data_analysis
Exploratory data analysis and feature engineering on Quora dataset.
exploratory-data-analysis feature-extraction numpy pandas python3 quora-dataset
Last synced: 05 May 2026
https://github.com/muthupillai1204/diwali_sales_analysis
The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.
data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization
Last synced: 05 May 2026
https://github.com/sahaninilesh/future_ds_01_social-media-sentiments-analysis
The Social Media Sentiments Analysis Dataset captures a vibrant tapestry of emotions, trends, and interactions across various social media platforms. This dataset provides a snapshot of user-generated content, encompassing text, timestamps, hashtags, countries, likes, and retweets. Each entry unveils unique stories—moments of surprise, excitement,
jupyter matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/amruta33/lead_scoring_case_study
An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
bagging linear-regression numpy pandas python3
Last synced: 05 May 2026
https://github.com/ayushdutta-ai/face-recognition-model
A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.
face haar-cascade lbph-face-recognizer numpy opencv pillow
Last synced: 05 May 2026
https://github.com/vi-ssh-al/diamond-price-prediction
matplotlib ml numpy panda seaborn
Last synced: 05 May 2026
https://github.com/waghraj1699/fraud-detection-project
A fraud detection system with machine learning will be able to detect risk based on your historical data
data-processing decision-tree-classifier machine-learning numpy pandas
Last synced: 05 May 2026
https://github.com/nkamilla/titanic-eda
Exploratory Data Analysis of the Titanic dataset using Python (Pandas, NumPy, Matplotlib). Includes data cleaning, visualizations, correlations, and key business insights.
data-analysis eda jupyter-notebook matplotlib numpy pandas python titanic-dataset
Last synced: 05 May 2026
https://github.com/debangshu9183/spam-mail-detection
To detect spam mail
logistic-regression machine-learning numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/hms75/movie_rating_analysis
A movie rating analysis which identifies trends amongst a dataset of 5000 movies.
data-analysis data-visualization matplotlib-pyplot numpy pandas python
Last synced: 05 May 2026
https://github.com/nxhawk/mln
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library
Last synced: 06 May 2026
https://github.com/vikkiezdev/ai-global-index-analysis
This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.
cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis
Last synced: 06 May 2026
https://github.com/leavers/npblob
Transfer numpy array between Python and JavaScript losslessly
array javascript matrix numpy python streaming typescript
Last synced: 06 May 2026
https://github.com/eshansugeesh/fico-score-loan-default-modeling-project
Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.
bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling
Last synced: 06 May 2026
https://github.com/shahriarha/programming
Python problem solving, HR-30 days of code, DSA, NumPy
algorithms-and-data-structures cpp numpy programming python
Last synced: 06 May 2026
https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies
This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.
activelearning cuda entropy kldivergence margin numpy python pyto uncertainty
Last synced: 06 May 2026
https://github.com/ianjure/simple-neural-network
Implementing a simple neural network using only Numpy.
deep-learning neural-network notebook numpy scratch-implementation
Last synced: 06 May 2026
https://github.com/amirjahantab/deep-ml-solutions
ML Code Challenges
ai algorithms backpropagation data-science deep-learning-algorithms deep-neural-networks linear-algebra machine-learning machine-learning-algorithms mathematics matrix numpy pca python
Last synced: 06 May 2026
https://github.com/rishabhmathur06/fetching-jobs-data-using-beautifulsoup
beautifulsoup numpy pandas python webscraping
Last synced: 06 May 2026
https://github.com/toxe/python-plotting
Python Plotting
matplotlib numpy pandas plotting python
Last synced: 06 May 2026
https://github.com/frolov-andrey2405/mandelbrot-s-fractal
Mandelbrot's Fractal Constructions
Last synced: 06 May 2026
https://github.com/billgewrgoulas/recommendation-systems
Algorithms for joke rating prediction using the joke data-set from Kaggle.
algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi
Last synced: 06 May 2026
https://github.com/mat-kubiak/manual-ml
DIY ML framework (using only NumPy!) + various demos
artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy
Last synced: 06 May 2026
https://github.com/rashidul738/data-analysis-with-statistics-and-python
Data Analysis with Statistics and Python
jupiter-notebook lambda numpy pandas-python python scipy statistics
Last synced: 06 May 2026
https://github.com/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression
🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.
data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python
Last synced: 06 May 2026
https://github.com/andrewsy1004/logistic-regression-spam-classifier
This project implements a spam email classifier using Logistic Regression.
Last synced: 06 May 2026
https://github.com/abhinav330/customer-behavior-analysis-linear-regression
This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.
data-analysis data-science data-visualization eda exploratory-data-analysis jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms machinelearning-python numpy pandas python regression-analysis
Last synced: 06 May 2026
https://github.com/khursheedahmedd/machine-learning
machine-learning numerical-methods numpy pandas pandas-dataframe
Last synced: 06 May 2026
https://github.com/5hraddha/optimize-oil-well-locations
In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.
linear-regression numpy pandas scikit-learn supervised-learning
Last synced: 06 May 2026
https://github.com/kunalpisolkar24/gradientdescent
A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.
cost-function gradient-descent numpy visualization
Last synced: 06 May 2026
https://github.com/chopikus/raytracing-bench
Benchmarking ray tracers in Python, Java, Numpy, Cupy, Pypy
cupy java numpy pypy python raytracing
Last synced: 06 May 2026
https://github.com/sopheakchan/dull-razor-algorithm
DullRazor hair removal for dermoscopic skin images.
Last synced: 06 May 2026
https://github.com/coder5omkar/lendingclubcasestudy
Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.
bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis
Last synced: 06 May 2026
https://github.com/paulo-santos-ds/llm
Um aplicativo web simples de tradução que converte texto do português para o inglês, construído com Streamlit e Google Translator
deeptranslate googletranslate numpy pyngrok python streamlit
Last synced: 06 May 2026
https://github.com/fazal-coder/capturing_img
python code for Creating blue color image
loop numpy opencv processing python scheduler threading
Last synced: 06 May 2026
https://github.com/cycle-sync-ai/student-score-analysis
A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.
clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student
Last synced: 06 May 2026
https://github.com/elmezianech/classifyreviews_nlp
Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.
accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc
Last synced: 06 May 2026
https://github.com/fbi555/fashion-mnist-cnn-tf
🧵 Classify fashion images using a compact CNN model in TensorFlow/Keras, designed for the Fashion-MNIST dataset with easy execution in Google Colab.
adam classification cnn colab-notebook computer-vision convolutional-neural-networks custom-training-loop deep-learning fashion-mnist gans image-classification interactive jupyter-notebook keras lowlevelapi mnist-dataset numpy regularization
Last synced: 06 May 2026
https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression
Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression
linear-regression machine-learning numpy pandas python regression regression-analysis statistics
Last synced: 06 May 2026
https://github.com/christiansassi/signal-image-and-video-project
Project developed by Pietro Bologna (@bolognapietro) and Christian Sassi for the Signal, Image and Video course.
image-processing mri-segmentation numpy opencv python
Last synced: 06 May 2026
https://github.com/williyam-m/company-registration-trends
Utilized Linear Regression from scikit-learn to predict future company registration trends.
flask matplotlib numpy pandas-python scikit-learn
Last synced: 06 May 2026
https://github.com/swapnilvishwakarma/twitter_sentiment_dashboard
Using Streamlit and Python, I created interactive data dashboards and used Pandas to manipulate data in data science workflows. I also used Plotly to create interactive graphs.
dashboard machine-learning matplotlib numpy pandas plotly sentiment-analysis streamlit-webapp webapp wordcloud
Last synced: 06 May 2026
https://github.com/kavayk29/text-summarization-fine-tuning-pegasus-model
This project uses the Pegasus model to generate concise, coherent text summaries. Fine-tuned on large datasets, it excels in abstractive summarization, ideal for automating tasks like summarizing articles and research papers.
datasets huggingface-transformers matplotlib nltk numpy pandas teansform tqdm
Last synced: 06 May 2026