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/mrhoban/python-syntax-medical-insurance-project
datascience matplotlib numpy python
Last synced: 04 May 2026
https://github.com/rahulchouhan1/air-quality-data-in-india
India Air Quality Analysis (2015-2024)
matplotlib numpy pandas python
Last synced: 11 Apr 2026
https://github.com/karthik9273/electric-vehicle-market-segmentation
Electric Vehicle market in India using Segmentation analysis and come up with a feasible strategy to enter the market, targeting the segments most likely to use Electric vehicles.
data-science machine-learning-algorithms matplotlib numpy numpy-arrays pandas seaborn statistics
Last synced: 18 Apr 2026
https://github.com/petridhsg/firewall-data-classification
A single implementation of a machine learning algorithm for a firewall data classification task
machine-learning matplotlib numpy python seaborn
Last synced: 01 May 2026
https://github.com/youssefali11997/100-numpy-exercises
100 exercise on NumPy library. NumPy (Numerical Python) is a package used for scientific computing with Python.
Last synced: 18 May 2026
https://github.com/rohansoni45/movie-recommendation-system
This project is a Content-Based Recommender System that suggests movies to users based on their preferences and watched history. The system leverages cosine similarity to find and recommend movies similar to a selected title. It is built using Python and libraries like Pandas, NumPy, and Scikit-learn.
content-based-filtering cosine-similarity data-analysis data-science machine-learning numpy pandas python recommender-system render scikit-learn
Last synced: 17 Apr 2026
https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods
This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.
ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost
Last synced: 17 Jan 2026
https://github.com/0xkibh/books-recommendation-system
This is the website with collections of top readed books with the functionaliy of recommendation system. It basically recommends the book on the basis of given books. It also shows data of different books available.
bootstrap css flask font-awesome html numpy pandas pickle
Last synced: 07 Apr 2026
https://github.com/harmanveer2546/house-price-prediction-using-machine-learning
We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.
catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn support-vector-machine
Last synced: 07 Apr 2026
https://github.com/yusufterzii/numpybasics
numpy numpy-arrays numpy-exercises
Last synced: 18 May 2026
https://github.com/dineshdhamodharan24/singapore_flat_resale_
This project focuses on developing a machine learning model to predict the resale values of apartments in Singapore. The goal is to create a user-friendly online application that enables users to obtain accurate predictions for the resale values of specific properties.
data-analysis flat json numpy pandas pickle project python streamlit
Last synced: 07 Apr 2026
https://github.com/bishopce16/world_weather_analysis
The project’s objective is to improve a travel app to give customers a way to decide their travel destination and ideal hotel based on weather preferences.
apis citipy datetime gmaps json-traversal jupyter-notebook matplotlib numpy pandas python requests scipy
Last synced: 13 Apr 2026
https://github.com/farzeennimran/moon-phases-prediction-using-ai
Deep learning model that predicts the phase of the moon 🌒🌓🌔🌕🌖🌗🌘
artificial-intelligence cnn cv2-library data-science data-visualization deep-learning keras matplotlib numpy opencv predictive-modeling python tensorflow
Last synced: 07 Apr 2026
https://github.com/vbhvsingh0/cdc_immunization
This project explores the relationships in between different vaccines and the sex, age and other basic features in the data.
data-cleansing data-manipulation-with-pandas data-science numpy pandas-python python3
Last synced: 05 May 2026
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: 05 Apr 2025
https://github.com/vbhvsingh0/deforestation_rainfall_correlation
The aim of this project is to check if there is any correlation of rainfall with deforestation in Pennsylvania state of USA.
correlation-analysis data-science matplotlib-pyplot numpy pandas python3
Last synced: 29 Apr 2026
https://github.com/vbhvsingh0/fraudulent_transactions
A few models were developed based on Decision trees and Logistic Regression to categorize fraudulent transactions
credit-card-fraud data-science logistic-regression machine-learning numpy numpy-python pandas pandas-python python3 random-forest-classifier
Last synced: 09 May 2026
https://github.com/technologicat/orderfix
Reorder solutions of parametric studies to make continuous curves
cython eigenvalues numpy postprocessing python python2 python27 python3 python34
Last synced: 25 Jan 2026
https://github.com/alexsolov28/vkrb
Выпускная квалификационная работа бакалавра «Система анализа алгоритмов машинного обучения для решения задач классификации с использованием Pandas»
jupyter-notebook matplotlib numpy pandas python scikitlearn seaborn streamlit
Last synced: 15 Feb 2026
https://github.com/harmanveer-2546/motor-vehicle-accidents-in-india
As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.
accidents accidents-analysis darkgrid data-analysis eda exploratory-data-analysis indian-roads inline matplotlib motor-vehicles numpy pandas review seaborn visualization
Last synced: 19 Jan 2026
https://github.com/mituskillologies/aiml-dypiemr-sep24
Programs conducted at DYPIEMR, Pune in training on AIML during September 2024.
artificial-intelligence data-analysis data-science machine-learning matplotlib neural-network numpy pandas python3
Last synced: 05 Apr 2025
https://github.com/harmanveer-2546/guide-to-regularization
Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.
generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn
Last synced: 05 Apr 2025
https://github.com/harmanveer-2546/ad-click-prediction-analysis-and-insights
To predict whether a user will click on ad or not.
ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-compose sklearn-library sklearn-metrics standardscaler
Last synced: 27 Jan 2026
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: 20 Jan 2026
https://github.com/rohansahu15/stackoverflow-hashtag-generator
ai machine-learning nlp numpy pandas
Last synced: 18 Jan 2026
https://github.com/chandkund/predicting-heart-disease
Welcome to the Heart Disease Prediction project! 🩺 This project focuses on developing a predictive model to assess heart disease risk based on health indicators like age, cholesterol levels, and blood pressure. By analyzing these features, we aim to create an effective tool for early diagnosis and heart disease prevention
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 18 Jan 2026
https://github.com/Mike014/SoundBot
This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.
chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing
Last synced: 12 Sep 2025
https://github.com/aapo-kossi/christmas_tree_spectrogram
Colab notebook to generate a spectrogram visualization on a programmable led installation
colab-notebook numpy pandas python
Last synced: 07 Apr 2026
https://github.com/hanzopgp/tensorflowtest
Learning how to use jupyter notebook, tensorflow, numpy and other librairies for machine learning projects. Following Thibaut Neveu's tutorial.
artificial-intelligence convolutional-neural-networks deep-learning lstm-neural-networks machine-learning matplotlib multilayer-neural-networks numpy personal recurrent-neural-networks sklearn tensorflow
Last synced: 07 Apr 2026
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: 07 Mar 2026
https://github.com/orthoin3d/django-ndarrayfield
New Django field to store numpy ndarray.
django django-fields numpy numpy-arrays
Last synced: 07 Mar 2026
https://github.com/hi-shekhar/data_science
Data science
algorithm-comparison decision-trees keras kmeans linear-regression logistic-regression numpy pandas python sentiment-analysis svm time-series visualization webcrawler
Last synced: 05 Apr 2026
https://github.com/bbergerud/tenops
Creating a common interface for numpy, pytorch, tensorflow, etc.
Last synced: 20 Jan 2026
https://github.com/hamishivi/denserflow
A basic numpy neural net library. This achieved high marks in a uni assignment!
deep-learning neural-network numpy
Last synced: 18 May 2026
https://github.com/johanntf/direccion_maximo_crecimiento
Dirección de máximo crecimiento en una función multivariable dado un punto de partida
customtkinter matplotlib numpy python
Last synced: 18 May 2026
https://github.com/sanjanahombal/study-on-sentiment-analysis
This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.
bag-of-words confusionmatrix googlecollab gridsearch-crossvalidation matplotlib-pyplot naive-bayes-classifier numpy pandas seaborn sklearn svm-classifier tfidf-vectorizer
Last synced: 07 Jan 2026
https://github.com/sultanazhari/customer-habit-analysis-model
Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package
accuracy-score decision-tree-classifier logistic-regression matplotlib-pyplot numpy pandas python3 random-forest-classifier seaborn train-test-using-sklearn
Last synced: 11 Apr 2026
https://github.com/santiagoenriquega/custom_neural_net
This repository focuses on building a neural network from scratch using only base python and Numpy.
gradient-descent neural-network numpy optimization python
Last synced: 18 May 2026
https://github.com/dor-sketch/audio-visual-synth
Combining real-time graphics, audio synthesis, and interactive elements to create an engaging, cross-platform music visualizer.
image-processing midi-player music-composition musicsheet notes-tool numpy pygame pygbag pyopengl
Last synced: 18 May 2026
https://github.com/ksalekk/ct-visualizer
computed-tomography dicom medical-imaging numpy pyside6 python
Last synced: 18 May 2026
https://github.com/yash22222/analysis-of-amcat-aspiring-minds
Analyzing employment outcomes for engineering graduates based on a provided dataset. Specifically, it aims to verify a claim regarding the salary range for fresh graduates in certain engineering roles and investigate potential relationships between gender and specialization preferences.
amcat aspiring-minds charts computer-engineering data-analytics data-vizualisation dataset graph machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/yesenvidnath/facerecognito-pythonfacialrecognitionapplication
this is a web application created to detect faces using a pre-given image links through Excel format, this project uses Pytorch & Flask
Last synced: 10 Apr 2026
https://github.com/altaris/turbo-broccoli
JSON (de)serialization extensions
bokeh json keras numpy pandas pytorch serialization sklearn tensorflow
Last synced: 04 Jan 2026
https://github.com/kr1shnasomani/facetronix
A toolkit for face detection, annotation, and mask recognition.
computer-vision deep-learning keras neural-network numpy opencv tensorflow
Last synced: 05 Apr 2026
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: 13 Jun 2025
https://github.com/muhkartal/fr-framework
A modular and extensible face recognition framework featuring real-time detection, facial landmark analysis, and recognition with API support.
dlib face-recognition fastapi numpy opencv pillow pydantic python-multipart requests scipy uvicorn
Last synced: 13 Apr 2026
https://github.com/raminbadri/machine-learning-with-python
This where I will upload all my machine learning projects and samples
classification clustering data-science jupyter-notebook machine-learning matplotlib numpy pandas python3 regreession scikit-learn
Last synced: 12 Apr 2026
https://github.com/guifernandess7/ciencia-de-dados-e-ml-notebooks
Notebooks com uso dos módulos Pandas, Numpy e Matplotlib para análise de dados e criação de gráficos e tensorFlow e seaborn para machine learning e visualização
machine-learning matplotlib numpy pandas python tensorflow
Last synced: 04 Apr 2026
https://github.com/lgope/book-recommender-system
Book recommender system a Collaborative Filtering Based Recommender System using Machine Learning, Numpy, Pandas Python, Flask, Kaggle Dataset
collaborative-filtering flask html-css jupyter-notebook kaggle-dataset machine-learning numpy pandas python
Last synced: 13 Apr 2026
https://github.com/adikahnf/Data-analysis-with-Python
data-analysis numpy pandas python streamlit
Last synced: 31 Dec 2025
https://github.com/sudarshanc00/brain-tumor-classification
This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.
matplotlib numpy pytorch resnet scikit-learn streamlit
Last synced: 10 Apr 2026
https://github.com/mathensley/asimpleneuralnetworklib
A simple library in Python for training datasets using neural network models
deep-learning neural-networks numpy python
Last synced: 19 Apr 2026
https://github.com/firewind25/gdp-data-extraction-and-processing
Data Extraction from a web resource using Web-Scraping and request APIs. Processed it using Pandas and NumPy libraries. Finally exporting it to csv file for further analysis
numpy pandas python webscraping
Last synced: 12 Jul 2025
https://github.com/blinksta1ker/spam-mail-classification
Supervised ML model using Logistic Regression model to classify an email as Ham or Spam
jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn supervised-machine-learning
Last synced: 09 Apr 2026
https://github.com/zombietdv/cnn_and_beta-vae-
CNN and Beta-VAE implementation. Only Numpy as the main library.
automatic-differentiation backpropagation-algorithm beta-vae cnn deep-learning numpy optimization-algorithms
Last synced: 21 Mar 2025
https://github.com/mnitin-reddy/image-compression-using-k-means-clustering
This project implements the K-means algorithm for clustering and image compression. It reduces the number of colors in an image using K-means, achieving compression while maintaining key visual features. The project demonstrates the process on a sample dataset and a real image.
image-processing imagecompression kmeans-clustering machine-learning matplotlib numpy
Last synced: 19 May 2026
https://github.com/Madhuresh2011/Leetcode-Questions-Analysis-Using-Python
The LeetCode Question Analysis is a Python-based project designed to help users analyze and gain insights into LeetCode problems. It allows users to track, categorize, and evaluate their progress, identify patterns in problem-solving, and optimize the preparation.
analysis csv-files matplotlib-pyplot numpy pandas python python-project seaborn
Last synced: 13 Sep 2025
https://github.com/memgonzales/order-brushing-shopee2020
Solution to the Week 1 Contest (Student Category) of the 2020 Shopee Code League on order brushing detection
data-analytics e-commerce fraud-detection jupyter-notebook numpy order-brushing pandas python rule-based
Last synced: 11 Apr 2026
https://github.com/omarnahhass/crypto-cast
CryptoCast is a machine learning-powered tool that showcases three fundamental prediction models for forecasting cryptocurrency prices
cryptocurrency machine-learning numpy pandas python
Last synced: 05 May 2026
https://github.com/pramodyasahan/custom-image-classification-model
This repository hosts a TensorFlow-based custom image classification model. The model is designed to classify images into binary classes, labeled as 'Happy' and 'Sad'.
computer-vision convolutional-neural-networks cv2 keras matplotlib numpy tensorflow
Last synced: 11 Apr 2026
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: 09 Apr 2026
https://github.com/sagravela/plotground
Plotting Tool with Matplotlib and Tkinter. Video Demo:
matplotlib numpy python tkinter
Last synced: 19 May 2026
https://github.com/martinkersner/kmeans-meetup
Presentation about k-Means for Seoul AI Meetup on July 22, 2017.
kmeans numpy python scikit-learn
Last synced: 03 May 2026
https://github.com/chandkund/recipe-recommendations
The Recipe Recommendations project leverages natural language processing (NLP) techniques to process recipe descriptions and classify them into categories like desserts, main courses, and more. The system provides personalized recommendations by analyzing the text input and suggesting relevant recipes.
embeddings matplotlib nlp numpy pandas softmax tensorflow
Last synced: 06 Apr 2026
https://github.com/andreazoccatelli/knn_fromscratch
knn implementation in numpy
classification knn-classifier machine-learning numpy
Last synced: 19 May 2026
https://github.com/ahmedabdalkreem/preprocessing
All you need to be dataset ready to work in model without any Noise.
Last synced: 07 Apr 2026
https://github.com/ashishsingh789/customer_purchase_prediction_using_decision-tree-_classifier
Decision Tree Classifier to predict customer purchases using demographic and behavioral data. Key steps: data preprocessing, EDA, model training, evaluation, and feature importance analysis.
data datascience desiciontree eda machine-learning-algorithms matplotlib numpy pandas-dataframe python seaborn
Last synced: 11 Apr 2026
https://github.com/abideen-olawuwo/loan
A loan prediction modes
adaboostclassifier catboost-classifier gaussian knearest-neighbor-algorithm linear-svc logistic-regression matplotlib naive-bayes-classifier numpy pandas sklearn xgboost
Last synced: 10 Apr 2026
https://github.com/hariprasath-v/machinehack-odetocode_predicting_weather_using_alien_fruit_properties
Identify the type of climate the exoplanet has based on the properties of the fruit by using machine learning.
catboost machine-learning matplotlib numpy pandas seaborn shap sklearn
Last synced: 11 Apr 2026
https://github.com/ashwathdazur/understanding-ds-using-python
Python NumPy, Pandas, Matplotlib and Seaborn for Data Analysis, Data Science and ML. Pre-machine learning Analysis.
data-science dataanalysis matplotlib numpy panda python3
Last synced: 19 May 2026
https://github.com/abhijeet107/household-transactions-analysis-report
This project analyzes household financial transactions spanning from 2015 to 2018, focusing on income, expenses, net savings, and spending patterns across categories and modes of payment.
matplotlib numpy pandas powerbi python seborn
Last synced: 11 Apr 2026
https://github.com/yashika-malhotra/machine-learning---linear-regression-on-education-institute
In this analysis, I built a model to predict graduate admissions using Linear, Ridge, Lasso, and ElasticNet regressions. CGPA, GRE, and TOEFL scores emerged as key predictors. ElasticNet effectively handled multicollinearity and balanced L1 and L2 regularization.
linear-models linear-regression matplotlib normalization numpy pandas python seaborn sklearn sklearn-library standardization standardscaler statsmodels
Last synced: 20 Jan 2026
https://github.com/subratamondal1/machine-learning
Machine Learning Notes with tools like Numpy, Pandas, Scikit-Learn.
machine-learning numpy pandas scikit-learn
Last synced: 10 Apr 2026
https://github.com/yash-rewalia/airline-passeneger-recommendations-classification
The primary objective is to deploy a robust classifier model that accurately predicts user recommendations, empowering airlines to strategize effectively, understand user behavior, optimize services, and align business strategies with financial objectives.
decsion-tree hypothesis-testing knn machine-learning numpy pandas python random-forest-classifier svm-classifier
Last synced: 07 Apr 2026
https://github.com/labex-labs/quick-start-with-numpy
Quick Start with NumPy | This repo collects 15 of programming labs exercises for Quick Start with NumPy. This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.
challenges course exercises hands-on labex labs numpy playgroud programming python
Last synced: 31 Dec 2025
https://github.com/makiato1999/strokepredict-datascience
McMaster University CSE780 Project
multilayer-perceptron-network numpy pandas random-forest-classifier scikit-learn
Last synced: 06 Apr 2026
https://github.com/arufonsekun/machine-learning-models
Machine Learning algorithms and related study notes.
Last synced: 19 May 2026
https://github.com/manishbisht/machine-learning
Machine Learning
data-analysis data-mining machine-learning machine-learning-algorithms machinelearning numpy pandas python
Last synced: 13 Apr 2026
https://github.com/tristanbilot/mycnn
Convolutional Neural Network implementation from scratch, used on LeNet5 model with mnist dataset.
data-science deep-learning machine-learning neural-networks numpy python
Last synced: 19 May 2026
https://github.com/ireneflorez/e_commerce_a_b_test_analysis
website A/B test data analysis
data-analysis jupyter-notebook matplotlib numpy pandas python statsmodels
Last synced: 14 Apr 2026
https://github.com/sweta-kaundilya/911-calls-capstone-project
For this capstone project we will be analyzing some 911 call data from Kaggle.
data data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 28 Apr 2026
https://github.com/keyurparalkar/exoplanet-hunting-in-deep-space
The Search for New Earths
deep-learning gradient-descent jupyter-notebook machine-learning neural-network numpy
Last synced: 19 May 2026
https://github.com/eljandoubi/smart-beta-and-portfolio-optimization
Implementation of Smart Beta and Portfolio Optimization
cvxpy numpy optimization pandas portfolio-optimization trading trading-algorithms trading-strategies
Last synced: 19 May 2026
https://github.com/addleonel/unitrevpy
This contains common conversions such as units convert of length, temperature, area, volume, time, and weight.
common-conversions numpy python3
Last synced: 05 Mar 2026
https://github.com/coderooz/image_classification_transfer_learning
This project involves using transfer learning to classify images into categories such as cats vs. dogs by leveraging a pre-trained model like VGG16 or ResNet. Transfer learning allows you to adapt a pre-trained model to your specific problem, making the training process faster and often more effective.
colab image-classification matplot neural-network numpy python tensorflow vgg16-model
Last synced: 20 Apr 2026
https://github.com/pkx8326/blackjack-weighted-random-choices-visualization-with-numpy-and-python
This is a small project to test and visualize the result of the weighted probability capability of Python's numpy.random.choice()
blackjack blackjack-game choice jupyter-notebook numpy python random weighted-probability weighted-random
Last synced: 04 May 2026
https://github.com/vedanty3/bulldozer-price-prediction
A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.
andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm
Last synced: 05 Apr 2026