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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/manishkr1754/loan_eligibility_prediction_python
Predict Loan Eligibility for a Finance company
bivariate-analysis data-visualization decision-trees evaluation-metrics exploratory-data-analysis feature-engineering hypothesis-generation logistic-regression matplotlib model-building numpy pandas random-forest seaborn sklearn univariate-analysis xgboost
Last synced: 08 May 2026
https://github.com/djdurga/predictive_analysis_in_diabetes
This project applies Logistic Regression to predict diabetes in patients using the Pima Indians Diabetes Dataset. It covers the full data science lifecycle — from data imputation and exploration to model training, evaluation, and insights.
Last synced: 08 May 2026
https://github.com/tinaland101/carcinoma-regression-project
The goal of this project is to analyze and visualize the results of a clinical study involving the treatment of squamous cell carcinoma (SCC) in mice. As a senior data analyst, you are tasked with preparing a technical report for Pymaceuticals, Inc.
linear-regression mathplotlib numpy pandas pyhton
Last synced: 08 May 2026
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: 08 May 2026
https://github.com/haimgoldfisher/data_visualization_final_project
Final project of the Data Visualization course, Ariel university.
adaboost bayesian-learning catboost ensemble-learning gradient-boosting gridsearchcv matplotlib numpy pandas plotly seaborn semi-supervised-learning voting-classifier
Last synced: 08 May 2026
https://github.com/rsc-88/titanic
Data Science
jupyter-notebook numpy pandas python
Last synced: 08 May 2026
https://github.com/momo790-m/startup-profit-prediction
Machine learning project to predict profits of new startups based on R&D, Admin, Marketing, and State data
assumptions business colab-notebook linear-regression machine-learning matplotlib numpy pandas preprocessing seaborn skit-learn sklearn
Last synced: 08 May 2026
https://github.com/dhruvil-26/python-projects
This repository contains Python projects showcasing data analysis and visualization. 1. IMDB Movie Analysis: Analyzing movie trends, genres, and ratings. 2. Loan Default Analysis EDA: Exploring factors contributing to loan defaults.
eda imdb-dataset loan-default-analysis matplotlib numpy pandas python seaborn visualization
Last synced: 08 May 2026
https://github.com/prakashjha1/stock-investment-analysis
Stock Investment Analysis Project can help investor to select the better performing stocks.
data-analysis data-science numpy pandas pandas-datareader parallel-programming python
Last synced: 08 May 2026
https://github.com/zuecopio/vco_2425
Computer Vision (VCO) subject practices
cv2 matplotlib numpy opencv pilllow
Last synced: 08 May 2026
https://github.com/octavioduarte/datascience
A repository with study notes on Data Science concepts, NumPy, pandas, and an introduction to statistics.
data-science jupyter-notebook numpy pandas
Last synced: 08 May 2026
https://github.com/jahanostg/linear-regression_ml-algorithm
Linear Regression Algorithm
colab-notebook matplotlib numpy pandas scikit-learn seaborn
Last synced: 08 May 2026
https://github.com/himanshugoyal77/movie-recommendation
Cosine similarity based Recommendation Engine
nltk numpy pandas requests-library-python tmdb-api vectorization
Last synced: 08 May 2026
https://github.com/hanzopgp/transformerneuralnetwork
Building a transformer with Keras and TensorFlow following tutorial.
artificial-intelligence deep-learning jupyter-notebook machine-learning natural-language-processing numpy personal transformer
Last synced: 08 May 2026
https://github.com/egrizq/bike_analysis
Exploring the bike sharing system to find the patterns behind user behavior by weather, season, hour, and months.
data-science matplot numpy python seaborn
Last synced: 08 May 2026
https://github.com/thekartikeyamishra/data-preprocessor
A Google Colab module for interactive data preprocessing. Handles missing values, categorical encoding (One-Hot, Label), and numerical scaling (Standard, MinMax). Outputs a cleaned dataset
ipywidgets numpy pandas python scikit-learn
Last synced: 08 May 2026
https://github.com/juanpablo70/pgad-assignment01
Breast Cancer Coimbra data set analysis
data data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python
Last synced: 08 May 2026
https://github.com/0290192029/apartment-price-predictor
Python-проект по прогнозированию стоимости аренды квартир с помощью линейной регрессии. Практическая работа по теме: "Основы машинного обучения" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".
apartment-price-prediction apartments-for-rent api correios-api data-analysis feature-engineering feature-enginering linear-regression linear-regression-models mlops numpy prediction-model r seaborn
Last synced: 08 May 2026
https://github.com/sahil210695/numpy-basics
A brief overview of NumPy basics
data-science numpy numpy-tutorial python
Last synced: 08 May 2026
https://github.com/sunnyrao07/water-quality-analysis
A machine learning project that predicts water potability based on chemical and physical attributes, using models like Logistic Regression, Random Forest, and XGBoost.
data-cleaning label-encoding logistic-regression matplotlib model-evaluation numpy pandas pyhton random-forest sckiit-learn seaborn smote standard-scaler xgboost
Last synced: 08 May 2026
https://github.com/ishaan28malik/masters-admission-analyser
Admissions of Indian students for foreign universities.
admission classification machine-learning matplotlib numpy python students
Last synced: 08 May 2026
https://github.com/kevinmbeaulieu/machine-learning-practice
ML models & data processing utilities written from scratch as practice.
data-science machine-learning numpy pandas
Last synced: 08 May 2026
https://github.com/saurabh274/aerofit-statistics-and-probability
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
matplotlib-pyplot numpy pandas probability python seaborn statistics
Last synced: 08 May 2026
https://github.com/nova-land/kalmanfilter-python
Kalman Filter in PyTorch and Numpy
kalman-filter numpy python pytorch
Last synced: 08 May 2026
https://github.com/amiralisajadi/image-classification-neural-network
Custom deep learning model for binary image classification. Entirely built from scratch in Python with NumPy, including all ML functions, activations, and optimizations.
deep-learning image-classification image-classification-model machine-learning neural-networks numpy
Last synced: 08 May 2026
https://github.com/shaulamarquez/data-job-market
This is a Data Job Market analysis
analysis matplotlib numpy python seaborn
Last synced: 09 May 2026
https://github.com/shingiraibhengesa/house-price-predictor
A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.
machine-learning-models matplotlib numpy python scikit-learn seaborn
Last synced: 09 May 2026
https://github.com/alejandrolara11/data-preprocessing
Data preprocessing through the use of the libraries NumPy and pandas.
data-analysis data-cleaning data-preprocessing numpy pandas python
Last synced: 09 May 2026
https://github.com/avinashkrishna07/plant-disease-prediction-cnn-deep-leanring-project
Plant Disease Prediction with CNN - Deep Learning Project
cnn-for-visual-recognition docker keras-tensorflow machine-learning numpy streamlit-webapp
Last synced: 09 May 2026
https://github.com/aymen016/leetcode-problems
This repo is designed to enhance your problem-solving skills through daily coding challenges, complete with clear explanations and well-structured solutions. 🎯
coding decision-making leetcode-python leetcode-solutions numpy problem-solving python
Last synced: 09 May 2026
https://github.com/omogbolahan94/lego-analysis
Analysis of LEGO data from 1949 to 2021.
Last synced: 09 May 2026
https://github.com/franciscomartinez45/social-network-analysis
Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network
matplotlib ml networkx numpy pytorch
Last synced: 09 May 2026
https://github.com/dhruvv1402/x-twitter-bot-python
A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.
huggingface-transformers matplotlib nltk numpy pandas pillow python requests schedule textblob threading tweepy twitter-api wordcloud
Last synced: 09 May 2026
https://github.com/rishieeee/spam-email-classifier
A simple machine learning project that classifies emails as spam or ham using TF-IDF and a Multinomial Naive Bayes model. The project covers data cleaning, text preprocessing, feature extraction, model training, and evaluation. A great beginner-friendly introduction to NLP and ML workflows.
multinomial-naive-bayes numpy pandas python sckit-learn tf-idf
Last synced: 09 May 2026
https://github.com/mattkevan/data-science
Notes from learning various data science topics.
data-science matplotlib numpy python3
Last synced: 09 May 2026
https://github.com/omogbolahan94/nobel-prize-winner-analysis
Data exploration, cleaning, visualization and presentation
markdown matplotlib numpy pandas plotly seaborn
Last synced: 09 May 2026
https://github.com/ishaj72/analysis_model2
Dataset analysis model using matplotlib and other libraries
machine-learning matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/kingsley-ezenwaka/mean-var-std
This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.
Last synced: 09 May 2026
https://github.com/venkat-0706/titanic-survival-prediction
A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost
Last synced: 09 May 2026
https://github.com/brian-hepler-phd/kak-decomposition-qml
Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.
lie-theory machine-learning numpy pennylane qml quantum-computing quantum-gate-decomposition scipy su4
Last synced: 09 May 2026
https://github.com/sivasurya681/financial-expense-tracker
The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.
calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total
Last synced: 09 May 2026
https://github.com/mairagalvao/final_grades
An analysis of the final grades of students using Python
matplotlib numpy pandas python3
Last synced: 09 May 2026
https://github.com/aroojzahra908/machine-learning
This repository contains helpful guides and materials for easily understanding Pandas, NumPy, and Matplotlib libraries, which are essential tools for creating visual representations of data.
algorithms machine-learning-algorithms matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/abdullah2020/hamoye_stageb
This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.
eda lasso-regression linear-regression numpy pandas predictive-modeling regression-models ridge-regression rmse rsquare-values
Last synced: 09 May 2026
https://github.com/michaelzheng67/real_estate_ml
AI experiment developed to run against simulated real estate and investing environment
Last synced: 09 May 2026
https://github.com/raduldev/datasciencepython
Interview Task From CSIR-IGIB, Delhi & maps for journal
biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/liannekiarra/university-dissertation
Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems
artificial-intelligence engineering hypervolume matplot multi-objective-optimization neuralnetwork nsga-ii numpy pareto-front pareto-optimality pymoo python3 sklearn
Last synced: 09 May 2026
https://github.com/anker661/autograd-playground
A simple Numpy & Python based auto differentiation system that supports visualization before and after back-propagation.
auto-differentiation autograd computaion-graph jupyter-notebook numpy python3
Last synced: 09 May 2026
https://github.com/dmalexx/lab1_computervision
Computer Vision Intro
matplotlib matplotlib-python numpy opencv rgb
Last synced: 09 May 2026
https://github.com/betiniakarandut/portfolio-project
Sukkar and Cornell Integral Approach to Estimate Static Bottom Hole Pressure(SBHP)
Last synced: 09 May 2026
https://github.com/tim-w-james/python-data-reference-code
Python reference code for data visualization, machine learning and SQL
data-science jupyter-lab numpy python
Last synced: 10 May 2026
https://github.com/1adityakadam/computer-vision-approach-for-quality-inspection-of-steel-sheets
Machine Learning and Computer Vision project improves steel defect inspection using computer vision. A segmentation technique partitions steel sheet images into regions, enabling better defect analysis. U-Net is used for segmentation, and MobileNetV2 for classification. Performance is evaluated with the Dice Coefficient.
computer-vision machine-learning numpy pandas unet-image-segmentation
Last synced: 10 May 2026
https://github.com/dawoudtormos/rain_predicition_ml
This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.
ai machine-learning machine-learning-algorithms matplotlib numpy seaborn sklearn
Last synced: 10 May 2026
https://github.com/rebeccamorolong/market--basket--analysis
Market Basket Analysis using the Apriori algorithm to predict association rules and frequent itemsets from transactional data. The goal was to uncover product combinations that frequently co-occur in transactions, which can be used for recommendations, promotions, and inventory management.
apriori-algorithm numpy pandas seaborn
Last synced: 10 May 2026
https://github.com/dzakarias/waves
Fun with the sine function inspired by Chladni plates
Last synced: 10 May 2026
https://github.com/jupfu/beck-view-movie
Assemble mp4 video from list of images
multithreading numpy opencv python3 threadpool tqdm
Last synced: 10 May 2026
https://github.com/shibam120302/all_about_python
Here I upload python from basic to advance ,oops in python, dsa using python system design, numpy, pandas, data science, ML also. Follow @shibam120302 and star this repo.
numpy numpy-arrays oops-in-python pandas python python-dsa python-library python3 system-design tabula
Last synced: 10 May 2026
https://github.com/kartmaan/plotly-intervals
Group values from a Pandas Series according to given intervals and represent them graphically with Plotly
bar-chart grouping grouping-plots intervals intervals-chart numpy numpy-arrays orca pandas pandas-series percentile pie-chart plot plotly plotting values
Last synced: 10 May 2026
https://github.com/pravalika-hub11/marketing
CHECKIG
matplotlib-pyplot numpy pandas python
Last synced: 10 May 2026
https://github.com/andersoncrs/aprendizaje_no_supervisado_kmeans_customers
Este repositorio contiene un análisis de datos de clientes de un centro comercial utilizando técnicas de aprendizaje no supervisado, específicamente K Means y clustering jerárquico. El objetivo del proyecto es segmentar a los clientes en grupos homogéneos para entender mejor sus comportamientos y características.
data-analysis kmeans-clustering matplotlib numpy seaborn visualization
Last synced: 10 May 2026
https://github.com/tnleite/real-estate-opportunities-analysis
Este repositório apresenta uma análise de oportunidades no mercado imobiliário, combinando séries temporais, clusterização e previsões para identificar estados com maior potencial de crescimento e orientar estratégias de expansão eficientes.
catboostregressor cluster-analysis data-science kmeans-clustering lightgbm-regressor machine-learning-algorithms numpy regression-models scikit-learn xgboost-regression
Last synced: 10 May 2026
https://github.com/iamfarrokhnejad/neural-network
A simple neural network without reliance on any NN library.
classification matplotlib mnist mnist-classification mnist-dataset mnist-handwriting-recognition neural-network neural-networks neuralnetwork neuralnetworks numpy pandas python
Last synced: 11 May 2026
https://github.com/adityarohatgi11/regression_analysis_london_crime
This project examines how police presence impacts crime rates in London using regression analysis, panel data, and a natural experiment from the 2005 London attacks.
data-wrangling numpy pandas regression-analysis statsmodels
Last synced: 11 May 2026
https://github.com/monarch1108/customerinsights-kmeans
understanding customers using KMeans and RFM(recency, frequency & monetary) analysis
data-analysis data-visualization kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn
Last synced: 11 May 2026
https://github.com/pdoup/atml-notebooks
Proposed assignment notebooks for Advanced Topics in Machine Learning tasks
active-learning cost-sensitive-learning imbalanced-data machine-learning multi-instance-learning multi-label-classification numpy scikit-learn
Last synced: 11 May 2026
https://github.com/baschin1103/machine-learning-linear-regression-tsi
The model is the multiple linear regression loaded from scikit-learn. The aim is to create a model to forecast the so called Total-Skill-Index (TSI) of a player from hattrick.org. More information on: https://wiki.hattrick.org/wiki/Total_Skill_Index. In this repository is the programm and necessary data.
csv linear-regression machine-learning numpy pandas python statistics
Last synced: 11 May 2026
https://github.com/akashash01/decision_tree
A very specific type of probability tree that enables you to make a decision on certain process(chance event outcomes, resources cost, utility).
data-science decision-tree-classifier machine-learning numpy pandas-dataframe python sklearn
Last synced: 11 May 2026
https://github.com/chaganti-reddy/heart_disease_prediction
Machine Model creation for Heart Disease Prediction
data-science deep-learning machine-learning numpy python
Last synced: 11 May 2026
https://github.com/khalidelboray/image_processing
Notes about image processing
image-processing numpy python3
Last synced: 11 May 2026
https://github.com/zilean12/digital-image-processing
Digital Image Processing
bit-plane-slicing computer-vision digital-image-processing numpy opencv warping
Last synced: 12 May 2026
https://github.com/diogoribeiro7/vortex2d
2D vortex particle method (Gaussian-core) with RK4, viscosity, plots, animations
cfd matplotlib numpy python simulation vortex-method
Last synced: 12 May 2026
https://github.com/mituskillologies/dkte-da-mar25
Programs conducted at DKTE's Engineering Institute, Ichalkaranji in training on Python Data Analytics March 2025.
data-analysis matplotlib numpy pandas python-programming tkinter-python
Last synced: 13 May 2026
https://github.com/andydevs/optipy
Optimization algorithms written in python
numpy optimization optimization-algorithms
Last synced: 13 May 2026
https://github.com/neelimabonangi/defect-detection-hot-rolling
Defect Detection in Hot Rolling Using Machine Learning
classification data-analysis data-science defect-detection jupyter-notebook machine-learning manufacturing numpy pandas predictive-analytics python random-forest scikit-learn
Last synced: 12 Jun 2026
https://github.com/khushi130404/gradient_realm
Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.
batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent
Last synced: 14 Jun 2026
https://github.com/jayemscript/lab-to-code
A complete Python learning roadmap for scientists and researchers — covering data science, biology, chemistry, physics, and mathematics with curated libraries, tools, and resources.
bioinformatics chemistry data-science jupyter-notebook machine-learning mathematics numpy pandas physics python research roadmap scientific-computing scikit-learn
Last synced: 19 Jun 2026
https://github.com/harshavardhanbommalata/knn_tutorial
K-Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm. Unlike models that learn parameters during training, KNN uses lazy learning—it stores the dataset and predicts by finding the closest neighbors, making decisions through majority voting.
machine-learning-algorithms mathematical-modelling matplotlib numpy pandas
Last synced: 20 Jun 2026
https://github.com/huzaifa12466/neuralnetscratch
A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset
artificial-intelligence artificial-neural-networks backpropagation deep-learning forwardpropagation machine-learning matplotlib neural-network neural-networks numpy
Last synced: 23 Jun 2026
https://github.com/lmlk-seal/pyspeed
Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.
analyzer customtkinter gui intelligent numpy optimization optimization-tools performance python real-world-problem-solving
Last synced: 23 Jun 2026
https://github.com/prachpaveeny/pyspark-project
PySpark-project
azure azure-sql-database google-cloud-platform jupyter-notebook numpy pandas pyspark python
Last synced: 11 Apr 2026
https://github.com/gyselle-marques/sobel-filter
Machine Learning: Image Processing with Sobel Filter.
colab-notebook image-processing machine-learning matplotlib numpy opencv python sobel sobel-filter
Last synced: 24 Jun 2026
https://github.com/ansh-info/industrial-scale-penicillin-simulation
Optimizing industrial-scale penicillin production using machine learning and data analysis.
jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/anshpg/vectorwave
The Jupyter Notebook (ipynb file) contained within this repository serves as the primary codebase for this project. It demonstrates how to preprocess the input data, train the logistic regression classifier, evaluate its performance, and save the trained model for future use.
collab jupyter-notebook matplotlib-pyplot numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/alejandrolara11/machinelearningcourse
Machine Learning Basics: From Setup to Clustering
data-analysis data-science machine-learning numpy pandas plotly preprocessing-data python scikit-learn seaborn streamlit
Last synced: 11 Apr 2026
https://github.com/amiriiw/text_classification
Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.
keras numpy pandas pickle scikit-learn tensorflow text-classification
Last synced: 20 Jan 2026
https://github.com/tjpavii0809/classification-regression-models
Simple Predictive Model of Machine Learning
data-science numpy pandas scikit-learn supervised-learning
Last synced: 20 Jan 2026
https://github.com/ashishsingh789/titanic_dataset_eda_and_visualization
This repository contains an exploratory data analysis (EDA) of the Titanic dataset. Key analyses include survival rates by gender, passenger class, age distribution, family size, and correlation heatmaps.
data data-science dataanalysis matplotlib numpy pandas pandas-dataframe python seborn visualisation
Last synced: 11 Apr 2026
https://github.com/guptamudit/whatsapp-chat-analyser
Created an online Whats App chat analysis tool which is designed to extract valuable insights from your group or one-on-one conversations. By analyzing your chat data, WhatsChat provides detailed statistics and visualizations.
matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/pd2871/streamlit_automl
Auto Exploratory Data Analysis using Streamlit App
matplotlib numpy pandas python streamlit streamlit-webapp
Last synced: 11 Apr 2026
https://github.com/sakhileln/multimodal-chatbot-with-memory
A lightweight, CLI-based conversational agent that processes text and image inputs, remembers past interactions.
chatbot machine-learning nlp numpy opencv spacy tensorflow
Last synced: 11 Apr 2026
https://github.com/imdeepmind/knn_from_scratch
KNN classifier in pure Numpy and Python
knn knn-classification machine-learning numpy python
Last synced: 11 Apr 2026
https://github.com/dharma-acha/resnet18_imageclassification_cnn
In this part of the project, we implement ResNet-18 from scratch using PyTorch and train it on an image dataset to achieve over 75% accuracy. We apply techniques to prevent overfitting and optimize performance, aiming for an accuracy of 80% or higher.
matplotlib numpy python3 pytorch scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/prashhhant213/cardioflex-treadmill-analysis-using-descriptive-statistics-probability
Description Analysis and Visualization on CardioFlex Treadmill data to provide insights and recommendations to improve their userbase.
colab-notebook numpy pandas probability python stats
Last synced: 11 Apr 2026
https://github.com/trim0500/fe-stats-classifier
An experiment to create a machine learning model via PyTorch to classify select Fire Emblem unit base stat distributions.
creational-patterns data-analysis data-science data-visualization design-patterns excel jupyter jupyter-notebook matplotlib-pyplot numpy pandas python python-modules python3 pytorch singleton
Last synced: 11 Apr 2026
https://github.com/aminkhavari78/text-generation-with-lstm-recurrent-neural-networks-in-python-with-keras
use LSTM model for text generation
dropout io lstm-neural-networks numpy pandas sequence-models sys text-processing
Last synced: 20 Apr 2026
https://github.com/nourmorsy/topic_modelling
jupyter-notebook numpy pandas python
Last synced: 11 Apr 2026
https://github.com/nirmaldeepponnada/codeclauseinternshipproject1
This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.
kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer
Last synced: 11 Apr 2026