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/patilsukanya/p01.matplotlib-seaborn-titanic-dataset-visualization
Used libraries and functions as follows:
barplot bivariate boxplot densityplot histogram jointplot matplotlib numpy pairplot pandas python seaborn-plots seaborn-tutorial stripplots swarmplot univariate violinplot visualization
Last synced: 10 Apr 2026
https://github.com/tomaslopera/truncamiento
matplotlib modeling-and-simulation numpy scipy seaborn
Last synced: 16 Apr 2026
https://github.com/jessicahora/studies-on-linear-algebra
Repositorio com Estudos sobre Algebra Linear.
linalg linear-algebra matplotlib-pyplot matrix numpy python scipy
Last synced: 01 Mar 2026
https://github.com/ola-kaznowska/median-statistic
A program that calculates the median statistic. Program written in Python 3.13.1 with NumPy library during Machine Learning course.
mathematics numpy python python3
Last synced: 04 May 2026
https://github.com/rixiiz/image-classifier
An AI model that can classifier uploaded images
artificial-intelligence cv2 image-recognition mobilenetv2 numpy openai openai-api pil streamlit tensorflow
Last synced: 10 Apr 2026
https://github.com/tansudasli/tensorflow-sandbox
all about machine learning
apache-arrow keras machine-learning numpy pandas scikit-learn tensorflow2
Last synced: 16 Apr 2026
https://github.com/ksasi/smartcab
machine-learning numpy pandas python reinforcement-learning scikit-learn
Last synced: 16 Apr 2026
https://github.com/ricky1984a/customer_analytics
Customer Analytics
kneed machine-learning matplotlib-pyplot numpy pandas python scipy seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/anujdutt9/reinforcement_learning
Reinforcement Learning using Numpy and PyTorch.
numpy python3 pytorch reinforcement-learning
Last synced: 16 Apr 2026
https://github.com/lorenzorottigni/ml-advertising
Machine Learning python bootcamp: logistic regression on advertising dataset
ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/williyam-m/movie_booking_app
A Django-based movie booking app featuring an admin dashboard with CRUD functionality for movies, theatres, screens, shows, and bookings. Includes an ML-powered movie recommendation system.
django machine-learning numpy orm pandas python sckiit-learn sqlite3
Last synced: 16 Apr 2026
https://github.com/5hraddha/sda-megaline-the-best-plan
Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.
data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis
Last synced: 16 Apr 2026
https://github.com/eljandoubi/predict-customer-churn-with-clean-code
Clean Code Principles
autopep8 logging numpy pandas pylint pytest scikit-learn
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https://github.com/reshmaaiman/liver-patient-prediction
Liver Disease Prediction
data data-science data-visualization dataanalysis jupyter-notebook numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/aadityasikder/neural-network-from-scratch-
This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.
backward-propagation evaluation forward-propagation mnist-dataset neural-network neural-networks-from-scratch numpy training
Last synced: 16 Apr 2026
https://github.com/vedikasnehil/my-data-science-projects
This repository is a comprehensive collection of resources and implementations dedicated to the field of Data Science. It serves as a platform for exploring various aspects of data science, ranging from data preprocessing and exploratory data analysis (EDA) to machine learning and deep learning.
data data-science deep-learning machine-learning matplotlib numpy python sql visualization
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https://github.com/ersinerzurum/monai
2D-3D segmentation using monai
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https://github.com/semasuka/saitproj
BMW service recommender system
auto auto-service bmw numpy pandas python recommender-system scikit-learn streamlit
Last synced: 10 Apr 2026
https://github.com/ashwin331133/liver_disease_detection
This dataset consists of 416 liver patient records and 167 non-liver patient records collected from North East of Andhra Pradesh, India. And The main objective of this project is to use classification algorithms to detect liver patients from healthy individuals.
data-visualization machine-learning numpy pandas python
Last synced: 16 Apr 2026
https://github.com/somenath203/loan-status-prediction-backend
Click below to visit the swagger docs of the website
fastapi jupyter-notebook loan-prediction-analysis numpy pandas randomforestclassifier render scikit-learn
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https://github.com/sujitmandal/big-mart-sales
Big Mart Sales Prediction..
data-science numpy pandas prediction python statistics supervised-learning
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https://github.com/bzubs/mlzero
Implementation of widely used ML algorithms in vanilla python
machine-learning machine-learning-algorithms machinelearning numpy python statistics
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https://github.com/ankitsharma-tech/classification-of-arrhythmia-using-ecg-data
A machine learning project to detect and classify arrhythmias from ECG signals using Python, scikit-learn, and TensorFlow. Includes data preprocessing, model training, and evaluation.
arrhythmia biomedical-signal-processing cardiology classification deep-learning ecg ecg-classification healthcare machine-learning mit-bih-dataset numpy python scikit-learn scipy signal-processing tensorflow time-series-analysis
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https://github.com/elam-parithi/singapore_flatprice_predicting
Flat price prediction with Machine learning tools and python.
matplotlib numpy pandas scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/khaymanii/calories-burnt-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 16 Apr 2026
https://github.com/anas436/student-performance-analysis
In this project I have constructed a Machine Learning System which will analyis students performance with about their academic records. Note that, this project will work with any students recods which you want to provide.
data-analysis jupyter-notebook matplotlib numpy pandas python3 seaborn
Last synced: 16 Apr 2026
https://github.com/nitor-infotech-oss/aiml-data-processing
Data Processing Algorithms
aiml numpy pandas scikit-learn
Last synced: 16 Apr 2026
https://github.com/thekartikeyamishra/customer-retention-predictor
The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.
joblib machine-learning numpy pandas python scikit-learn tinker
Last synced: 16 Apr 2026
https://github.com/shiqilu77/machinlearning-lol_gaming
a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc
league-of-legends machine-learning numpy supervised-learning
Last synced: 16 Apr 2026
https://github.com/iankitnegi/python_projects
Data Analyst Toolkit: A comprehensive collection of Python scripts and notebooks designed for data analysis tasks. Features data cleaning, visualization, statistical analysis, and machine learning models. Ideal for analysts seeking efficient, reproducible workflows.
matplotlib numpy pandas python seaborn
Last synced: 20 Apr 2026
https://github.com/moonmoonsamal/meesho_order_financial_analysis
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Introduction to Data Science Tools(Python)
data-analysis-python matplotlib-pyplot numpy pandas
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https://github.com/sahiltiwariiii/dssp
Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc
docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit
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https://github.com/lmlk-seal/arrowshelf
A lightning-fast, zero-copy, cross-process data store for Python using Apache Arrow.
apache-arrow big-data cross-process data-processing data-science data-store distributed-computing high-performance ipc lightning-fast memory-mapping multiprocessing numpy pandas parallel-computing performance-optimization python scientific-computing shared-memory zero-copy
Last synced: 01 May 2026
https://github.com/kylehperez/mushroomnet
This API is for research purposes ONLY and is NOT to be used for food-safety or medical advice. Mushroomnet is a machine learning neural network for classifying mushrooms as poisonous or edible. The model was trained on data from uni.edu: over 5,000 instances of mushrooms, with 22 qualitative features and a determination of poisonous or edible.
artificial-intelligence botany flask-api machine-learning mycology neural-network numpy python3 pytorch scikit-learn
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https://github.com/samalyarov/practicum_projects
Various data analysis projects displaying tools and instruments that I am proficient with
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https://github.com/mayankanand007/betago
Platform for tracking Go moves using Computer Vision. (StarterHacks 2018 submission)
java matlab matplotlib numpy opencv-python python3
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Fundamentals of Scientific Computing (MS1980) Notebook
jupyter matplotlib numpy pandas python
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https://github.com/leftcoastnerdgirl/supervised_learning
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classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn
Last synced: 16 Apr 2026
https://github.com/dhruvv1402/spam-detection-python-
This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.
countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf
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Python-basierte Software zur Projektion von 3D-Objekten auf einen Würfel
augmented-reality numpy opencv-contrib python
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High-performance Python implementation of the macroeconomic agent-based BAM model using ECS architecture
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https://github.com/shriansh8619/eda_customer_behavior
This project analyzes Nielsen transaction data using Python to uncover sales trends, customer preferences, and purchasing patterns. It provides insights to optimize inventory, create targeted promotions, and improve store performance. The goal is to help supermarkets enhance strategies and boost profitability based on data-driven insights
matplotlib numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/bishopce16/school_district_analysis
The school board requested an analysis on the various performance metrics for the school district.
data-analysis jupyter-notebook numpy pandas python visual-studio-code
Last synced: 16 Apr 2026
https://github.com/dr-rompecabezas/page-view-time-series-visualizer
A data science project built as part of the freeCodeCamp curriculum.
matplotlib numpy pandas python seaborn
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https://github.com/jay6430/python-for-data-science
This Repository includes all the Python concepts that are necessary for Data science.
csv data-visualization datascience-machinelearning html-css ipynb-jupyter-notebook matplotlib numpy pandas python3 xml
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https://github.com/basith-ahmed/mtrp-butcher
A Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.
exponential-moving-average ipynb logistic-regression macd machine-learning matplotlib numpy pandas python rsi stochastic-rsi streamlit technical-analysis yfinance
Last synced: 04 Mar 2026
https://github.com/meepo69/urban-air-quality-prediction-using-deep-learning
deeplearning nueral-networks numpy python pytorch
Last synced: 01 May 2026
https://github.com/ledsouza/medphys-bi
Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA
aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml
Last synced: 10 Apr 2026
https://github.com/hariprasath-v/job-a-thon---may-2021
Exploratory Data Analysis
eda exploratory-data-analysis matplotlib missingno numpy pandas pandas-python plotnine
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csv jupyter-notebook matplotlib numpy pandas python3 seaborn
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https://github.com/supershivam5/python_projects
💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!
matplotlib-pyplot numpy pandas scikit-learn seaborn
Last synced: 17 Apr 2026
https://github.com/kunalkumar2001/data-analyst-python-and-its-library
Python (Basics to Advance) and Its Library for Data Analyst
dataanalyst matplotlib numpy pandas python seaborn
Last synced: 17 Apr 2026
https://github.com/farzeennimran/or-and-and-gates-using-perceptron-learning
Training single-layer perceptrons to get the outputs of OR and AND logic gates.
data-science gates machine-learning neural-network neural-networks-from-scratch numpy perceptron-learning-algorithm perceptron-neural-networks python
Last synced: 17 Apr 2026
https://github.com/dev-mdirfan/recommendation-system-various-approaches
Recommendation System
css flask html javascript machine-learning numpy pandas
Last synced: 10 Apr 2026
https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024
This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.
bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas
Last synced: 01 May 2026
https://github.com/lingumd/credit_risk_analysis
Machine learning models for predicting credit risk in LendingClub dataset.
balancedrandomforestclassifier classification-report cluster-centroids-undersampling confusion-matrix easyensembleclassifier get-dummies google-colab imbalanced-learn machine-learning matplotlib-pyplot numpy pandas pathlib randomoversampler scikit-learn smote smoteenn
Last synced: 17 Apr 2026
https://github.com/hansalemaos/npchessimage
Creates a chessboard pattern as an image.
Last synced: 05 Mar 2026
https://github.com/maliksaqib786/codealpha_projectname
IRIS CLASSIFICATION | Internship Project at Code Alpha
data-science logistic-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/abhishek-k-git/soulmegle
expressjs flask html nodejs numpy python3 reactjs scikit-learn socket tailwindcss
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https://github.com/subhadipsinha722133/credit-card-fraud-dection
Web application for detecting fraudulent credit card transactions using machine learning
data-visualization fraud-detection machine-learning matplotlib numpy pandas seborn sklearn streamlit
Last synced: 10 Apr 2026
https://github.com/fyt3rp4til/anomaly-detection
dbscan-clustering isolation-forest local-outlier-factor matplotlib numpy sklearn
Last synced: 05 Mar 2026
https://github.com/amandeep-gupta19/chatbot
Created a custom chatbot using Langchain. Here's a summary of what I did: Data Extraction: I gathered data about technical courses from the Brainlox website using Langchain’s URL loaders. Embedding Creation & Storage: I converted this data into embeddings and stored it in a vector store for efficient searching. API Development: I built a Flask
data-extraction faiss-vector-database flask-restful langchain numpy scikit-learn vector-database webbaseloader
Last synced: 09 Apr 2026
https://github.com/rgandhi8/inventory-management-system
This project is an AI-driven Inventory Management System designed to optimize supply chain efficiency by leveraging machine learning techniques for demand forecasting. The system integrates ARIMA and ANNs to predict inventory needs, minimize shortages, and reduce holding costs also enhances decision-making by automating inventory planning.
dashboard inventory-management-system machine-learning numpy pandas python seaborn
Last synced: 08 Jun 2026
https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool
A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.
data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter
Last synced: 15 Apr 2026
https://github.com/ricobuilds/ml-roadmap
Opinionated roadmap to machine learning in 2023
conda huggingface machine-learning matplotlib numpy pandas python pytorch
Last synced: 06 Mar 2026
https://github.com/dpb44/exploring-the-intuition-of-neural-networks-on-a-classification-problem-using-only-numpy
Implementing a softmax-based neural network from scratch using NumPy to classify the Iris dataset, leveraging vectorization, gradient descent, and decision boundary visualization.
deep-learning neural-network numpy softmax-classifier
Last synced: 02 May 2026
https://github.com/gauravtrivedi967/lane_detection
Lane detection and tracking are the advanced key features of the advanced driver assistance system. Lane detection is the process of detecting white lines on the roads. In this we I have used prebuild models for the development of the code
ipython-notebook numpy python thresholding
Last synced: 06 Mar 2026
https://github.com/defi0x1/facial-expression-recognition
Facial-Expression-Recognition Using CNN
cnn data-augmentation facial-expression-recognition numpy tensorflow
Last synced: 03 May 2026
https://github.com/neerajcodes888/a-novel-used-car-price-prediction-model-based-on-lindenoise
Welcome to the LinDenoise Repository! LinDenoise offers a smart solution for cleaning noisy data in regression tasks. Integrated seamlessly within the widely-used scikit-learn framework, it effortlessly enhances data quality while improving predictive accuracy
car-price-prediction deep-learning ipynb-notebook machine-learning numpy pandas python3 visualization
Last synced: 06 Mar 2026
https://github.com/ducha-aiki/laf2ell
Utils for LAF to ellipse and back conversion. Also function for drawing LAFs.
ellipse laf local-features numpy visualization
Last synced: 02 May 2026
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 Apr 2026
https://github.com/psavarmattas/speechtotext
we shall build a very simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input.
facebook-api ipython librosa machine-learning numpy python pytorch soundfile transformers
Last synced: 02 Apr 2026
https://github.com/iamwatchdogs/cardiovascular-risk-prediction
This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.
jupyter-notebook machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/amirmohammadgholampour/mall-customer-segmentation
Project for segmenting customers in a shopping mall using the Clustering algorithm.
numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/broodhoney/blue-book-for-bulldozers
This repository holds the project which solves a regression problem on predicting the futures sales of bulldozers. This is from a kaggle competition.
matplotlib numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/lmizner/ece_c247_neuralnetworks
Course work from UCLA's ECE C247 - Neural Networks
backpropogation cnn convolutional-neural-networks convolutional-recurrent-neural-network crnn gated-recurrent-units keras long-short-term-memory lstm machine-learning matplotlib numpy pandas python recurrent-neural-networks regularization rnn sklearn tensorflow
Last synced: 02 Apr 2026
https://github.com/amanimagdi/data-flux-fullstack
This repository is for a full stack application provides in-depth analysis and manipulation of various data types (tabular data, RGB images and textual data), Flask on BE and ReactJs on FE.
flask javascript numpy pandas python reactjs tailwindcss
Last synced: 02 Apr 2026
https://github.com/lmicovic/neural-network-image-recognition
Application that recognize clothes items from images.
fashion-mnist keras machine-learning mathplotlib mnist-classification neural-network numpy opencv pandas python3 tensorflow
Last synced: 02 Apr 2026
https://github.com/nas-research/knowledge-model
Our knowledge system systematically ingests, processes, and indexes open-access life science publications. It supports internal research by providing precise question-answering and efficient retrieval from a continuously updated repository of scientific literature
accelerate aws boto3 dataingestion keras lifesciences llama llama3 llm numpy pymupdf pytorch researchsupport sqlalchemy tensorflow textextraction
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https://github.com/davityak03/basics-of-python-
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array dictionary lists matrix numpy pandas programming python sets
Last synced: 02 Apr 2026
https://github.com/prarthana-singh/car_price_predector
machine-learning numpy pandas python sklearn-library
Last synced: 09 Apr 2026
https://github.com/loong64/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
autograd deep-learning gpu loong64 loongarch64 machine-learning neural-network numpy python tensor
Last synced: 02 Apr 2026
https://github.com/ola-kaznowska/-image-processing
Image Processing
ai artificial-intelligence cv2 math numpy python
Last synced: 17 Apr 2026
https://github.com/prajapatsur/data-analytics-1
Wanted to revise all the basic concepts of the data cleaning, transformation and analysis, so worked on this project. Took a little bit help of AI tool to implement some fresh concepts.
matplotlib numpy pandas sklearn
Last synced: 17 Apr 2026
https://github.com/mnagaharshithrao/diamondpriceprediction
Diamond Price Prediction is a machine learning project that predicts the price of diamonds based on features like carat, cut, color, clarity, and more. Using models such as XGBoost, Random Forest, and Gradient Boosting, the project aims to accurately forecast diamond prices, helping buyers and sellers in the diamond industry make informed decisions
machine-learning numpy pandas sckiit-learn xgboost
Last synced: 17 Apr 2026
https://github.com/renan-siqueira/reinforcement-learning-cart-pole
This repository provides implementations of a Q-learning agent to balance a pole on a cart.
artificial-intelligence gym-environment machine-learning numpy openai-gym pygame python qlearning-algorithm reinforcement-learning
Last synced: 17 Apr 2026
https://github.com/arjunravi26/sentimental-analysis
Sentimental Analysis Project
gensim nltk numpy pandas scikit-learn tensorflow word2vec
Last synced: 02 Apr 2026
https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis
This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.
matplotlib numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/harmanveer2546/nasa-asteroid-classification
Classifying whether an asteroid is hazardous or not.
eda matplotlib numpy pandas python seaborn visualization xbgoost
Last synced: 02 Apr 2026
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: 02 Apr 2026
