https://github.com/kumartusha/data_analysis_training_anudip_foundation

Anudip Foundation Data Analytics Training 📊 A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: 🧹 Data Cleaning & Preprocessing 📉 Data Visualization & EDA 📊 Statistical Analysis

excel matplotlib numpy pandas powerbi python scipy sql

Last synced: 16 Nov 2024

https://github.com/andres15alvarez/numericalcalculator

Calculator of roots of equations and system of linear algebraic equations.

numerical-methods numpy python scipy

Last synced: 16 Nov 2024

https://github.com/abideen-olawuwo/financial-inclusion

A Bank account Prediction in Africa

matplotlib numpy pandas python seaborn sklearn xgboost-classifier

Last synced: 15 Nov 2024

https://github.com/abideen-olawuwo/loancredit

A loan default payment model

linear-regression numpy pandas python seaborn sklearn xbgoost

Last synced: 15 Nov 2024

https://github.com/abideen-olawuwo/vg_sales

Predicting Games Sales

machine-learning matplotlib numpy pandas seaborn sklearn

Last synced: 15 Nov 2024

https://github.com/abideen-olawuwo/water-potability

A Water Potability Model

adaboostclassifier gaussian kneighborsclassifier linear-regression logistic-regression matplotlib numpy pandas seaborn sklearn xgboost-classifier

Last synced: 15 Nov 2024

https://github.com/abideen-olawuwo/stroke-prediction

A stroke Prediction Model

adaboostclassifier catboost decision-tree-classifier kneighborsclassifier logistic-regression matplotlib numpy pandas random-forest-classifier seaborn sklearn xgboost-classifier

Last synced: 15 Nov 2024

https://github.com/jatin-mehra119/paris_housing_price-kaggle-

Paris Housing Price Kaggle Competiton

data data-visualization kaggle-competition machine-learning numpy pandas predictive-modeling scikit-learn

Last synced: 16 Nov 2024

https://github.com/damiieibikun/web-scrapping-and-python-data-visualization-on-top-500-movies-imdb

Web Scrapping and Python Data visualization on Top 500 movies IMDb

beautifulsoup4 data-analysis data-visualization matplotlib-pyplot numpy pandas plotly-express python requests seaborn web-scraping

Last synced: 15 Nov 2024

https://github.com/caterinatasinato/python-projects

Projects I worked on as Trainee in Data Analytics at ProfessionAI

matplotlib numpy pandas python3

Last synced: 15 Nov 2024

https://github.com/vuanhtuan1012/data-scientist-with-python

Notes on career track "Data Scientist with Python" at DataCamp

importing-data matlab numpy pandas python3 sqlalchemy

Last synced: 17 Nov 2024

https://github.com/necraul/perlin-noise-py

Some examples of generating perling noise using Python

noise numpy perlin-noise python python3 vector

Last synced: 16 Nov 2024

https://github.com/alisonmitchell/titanic

Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.

deep-learning keras machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn tensorflow

Last synced: 15 Nov 2024

https://github.com/alisonmitchell/countries-of-the-world

Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).

data-science machine-learning matplotlib numpy pandas python seaborn

Last synced: 15 Nov 2024

https://github.com/aaaastark/world_happiness_report

World_Happiness_Report

csv data-analysis data-science database keras numpy pandas python sklearn tensorflow

Last synced: 15 Nov 2024

https://github.com/aaaastark/twitter_sentiment_analysis

Twitter Sentiment Analysis

csv database machine-learning matplotlib numpy pandas python python3 sentiment-analysis sklearn tensorflow text-classification twitter twitter-sentiment-analysis

Last synced: 15 Nov 2024

https://github.com/aaaastark/textclassification-nlp-project

Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV

matplotlib nltk numpy pandas python seaborn sklearn textblob wordcloud

Last synced: 15 Nov 2024

https://github.com/aaaastark/breast_cancer_analysis

Breast_Cancer_Analysis

data-science dataset machine-learning numpy pandas python sklearn tensorflow

Last synced: 15 Nov 2024

https://github.com/andreazoccatelli/kmeans_fromscratch

kmeans implementation in numpy

clustering kmeans-clustering machine-learning numpy

Last synced: 17 Nov 2024

https://github.com/engichang1467/cnn-sign-language

Built a Convolutional Neural Network to train to recognize sign languages

kaggle keras matplotlib numpy pandas sklearn tensorflow

Last synced: 17 Nov 2024

https://github.com/offthetab/gans

Just testing out different GAN models

gans matplotlib numpy seaborn torch torchvision

Last synced: 17 Nov 2024

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: 15 Nov 2024

https://github.com/jpcadena/pharmacy-prices-prediction

Prices prediction project for Pharmacy products.

artificial-intelligence data-analysis data-science deep-learning keras machine-learning machine-learning-models neural-network numpy pandas pharmacy prediction price-prediction pylint python scikit-learn supervised-learning tensorflow

Last synced: 15 Nov 2024

https://github.com/jpcadena/cancer-classification

Breast cancer classification project.

cancer-detection classification data-analysis data-science deep-learning imblearn machine-learning neuronal-network numpy pandas pylint python scikit-learn supervised-learning tensorflow

Last synced: 15 Nov 2024

https://github.com/pythoncoderunicorn/linear-algebra-python

Linear Algebra in Python

linear-algebra numpy python

Last synced: 17 Nov 2024

https://github.com/omarsaad21/credit-train-data-science-project

This a full web application to predict the credit score of clients plus I did many visulizations to express many insights in chart

eda matplotlib ml numpy pandas python sklearn streamlit-webapp

Last synced: 15 Nov 2024

https://github.com/s0fft/learning-lab

Code Notes & Test-Learn // Micro Pet-Projects: Python / Asynchrony / FastAPI / Django-Tastypie / Parsing / SQL / Docker / DS / ML / etc.

asynchrony data-science django docker fastapi jupyter-lab jupyter-notebook mashine-learning matplotlib notes numpy pandas parsing python3 scikit-learn seaborn sql sqlalchemy tastypie telegram-bot

Last synced: 15 Nov 2024

https://github.com/kahngjoonkoh/randomshapegenerator

A program that will generate images with random shapes and background colours. Can be customized and generated in bulk.

generative-art numpy opencv python threading tkinter

Last synced: 15 Nov 2024

https://github.com/mpoojithavigneswari/bangalore-house-price-prediction

This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.

data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 15 Nov 2024

https://github.com/dpgitaccount/project-customer-segmentation-analysis-with-power-bi

This project segments customers based on their purchasing behavior to identify different target groups. It demonstrates skills in data analysis, clustering, and visualization using Power BI.

kmeans-clustering-algorithm linear-regression numpy pandas powerbi python seaborn segmentation

Last synced: 15 Nov 2024

https://github.com/prakashjha1/email-sms-spam-classifier

Many email services today provide spam filters that are able to classify emails into spam and non-spam email with high accuracy.

machine-learning natural-language-processing numpy pandas python

Last synced: 15 Nov 2024

https://github.com/ahmad-ali-rafique/numpy-mastery-notebook

Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.

dataanalytics numpy numpy-arrays numpy-exercises numpy-library numpy-python

Last synced: 15 Nov 2024

https://github.com/emmanueltobi/ai-academy-university

Code samples from the Intel Nervana AI Academy University held in FUTA

ai classification-algorithm dataset intel numpy regression regression-models sklearn

Last synced: 17 Nov 2024

https://github.com/loaiwalid07/portfolio

Loai Nazeer portfolio

classification clustering computer-vision data-science deep-learning deep-neural-networks machine-learning matplotlib matplotlib-pyplot nlp nlp-machine-learning nltk numpy pandas plotly sklearn streamlit tensorflow-tutorials

Last synced: 17 Nov 2024

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: 15 Nov 2024

https://github.com/w-edward/youtube-keyword-popularity-analyzer

An effort to discover the top trending keywords on Youtube.

data-analysis node-js numpy python webscraping youtube-api

Last synced: 15 Nov 2024

https://github.com/archtaqi/intro2py

Basic Python for Data Science (WIP)

jupyter-notebook matplotlib numpy pandas python3 seaborn

Last synced: 15 Nov 2024

https://github.com/elijah-1994/modelling-airbnbs-property-listing-dataset

Training and Evaluating classification and regression model use cases on the Airbnb dataset.

data-science machine-learning numpy pandas plotly python pytorch sklearn

Last synced: 17 Nov 2024

https://github.com/harmanveer-2546/campus-placement-prediction

Student Campus-Placement Prediction ML Project using Python

decision-trees machine-learning matplotlib numpy python random-forest scipy seaborn

Last synced: 17 Nov 2024

https://github.com/qanastek/parseur-pdf

https://trello.com/b/SbT2XGyF/g%C3%A9nie-logiciel-scrum

beautifulsoup4 numpy python

Last synced: 17 Nov 2024

https://github.com/tzepart/choosing-oil-region

Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.

matplotlib ml numpy pandas seaborn sklearn

Last synced: 17 Nov 2024

https://github.com/davityak03/basics-of-python-

In this we have done multiple programs in python so as to develop the basic skill sets in python

array dictionary lists matrix numpy pandas programming python sets

Last synced: 17 Nov 2024

https://github.com/pegah-ardehkhani/predictive-maintenance-using-ml

A machine learning project for predictive maintenance, designed to forecast equipment failures and optimize maintenance schedules to reduce downtime and operational costs

adaboost decision-tree deep-learning deep-neural-networks feature-importance knn logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly predictive-maintenance random-forest seaborn sklearn stacking svm tensorflow

Last synced: 17 Nov 2024

https://github.com/chandkund/time-series-forecasting

A time series forecasting project using the Airline Passenger dataset. This project leverages ARIMA modeling to predict future passenger numbers by analyzing historical trends and seasonality from 1949-1960. The results demonstrate effective forecasting for better business planning.

arima-forecasting arima-model data-science numpy pandas python seaborn

Last synced: 17 Nov 2024

https://github.com/chandkund/loan-eligibility-prediction

This project is designed to predict the eligibility of loan applicants based on various factors such as income, credit history, and marital status. By analyzing historical loan application data, the model helps to determine whether a loan application should be approved or not.

data-analysis data-science data-visualization machine-learning-algorithms matplotlib numpy pandas python seaborn

Last synced: 17 Nov 2024

https://github.com/chandkund/pytorch

Foundational introduction to PyTorch, focusing on the basics of tensors, their creation, manipulation, and operations, which are essential for understanding and building deep learning models

classification computer-vision cuda-programming deep-learning loss-functions matplotlib numpy optimization pandas pyhton pytroch workflow

Last synced: 17 Nov 2024

https://github.com/kimpro82/myinvestmentmodules

Someday these will be an integrated trading system, but not now. So I am sad.

investment monte-carlo-simulation numpy python r vba xing-api

Last synced: 17 Nov 2024

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 18 Nov 2024

https://github.com/tkc/node-neural-network

Built with only pure typescript, neural network iris sample.

javascript machine-learning neural-network node numpy typescript

Last synced: 18 Nov 2024

https://github.com/rishabhmathur06/custom-rag-using-mistral7b-and-langchain

faiss langchain mistral-7b numpy playwright python pytorch rag retrieval-augmented-generation transformers

Last synced: 18 Nov 2024

https://github.com/rishabhmathur06/fine-tune-bert-for-text-classification-using-transformers

bert huggingface machine-learning numpy python pytorch sklearn transformers

Last synced: 18 Nov 2024

https://github.com/rishabhmathur06/fake-news-detection

bert-model machine-learning matplotlib-pyplot natural-language-processing neural-network numpy pandas python3 sklearn tensorflow transformer

Last synced: 18 Nov 2024

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: 18 Nov 2024

https://github.com/aminkhavari78/machine-learning-preprocessing

work on different Algorithm and technique for preproccesing Data

binarization cleandata dataframe drop missing-data normalization numpy pandas standardization train-test-split

Last synced: 18 Nov 2024

https://github.com/jovicdev97/financial-data-analytics

using numpy and pandas to analyze a synthetic loan dataset with python

data-analysis matlabplot numpy pandas plotting python seaborn

Last synced: 18 Nov 2024

https://github.com/azaz9026/machine_learning_algorithms

Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.

machine-learning machine-learning-algorithms numpy pandas python3 seaborn sklearn-library

Last synced: 18 Nov 2024

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: 18 Nov 2024

https://github.com/azaz9026/python_project_for_data_analysis

numpy pandas postgresql python3

Last synced: 18 Nov 2024

https://github.com/azaz9026/eda

Exploratory Data Analysis (EDA) refers to the method of studying and exploring record sets to apprehend their predominant traits, discover patterns, locate outliers, and identify relationships between variables. EDA is normally carried out as a preliminary step before undertaking extra formal statistical analyses or modeling.

data-cleaning data-visualization encoding machine-learning matplotlib numpy pandas plotly python3 seaborn sklearn-library

Last synced: 18 Nov 2024

https://github.com/sauravokos/deep-learning

Repository on private project concerning Deep Learning through multilevel neural networks

keras numpy pillow python python-3-5 scikit-image scikit-learn scipy tensorflow tensorflow-examples tkinter tkinter-graphic-interface

Last synced: 18 Nov 2024

https://github.com/shuyib/pimadlkeras

Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.

diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn

Last synced: 18 Nov 2024

https://github.com/quickheaven/python-for-data-science-and-machine-learning-bootcamp

Python for Data Science and Machine Learning Bootcamp

data-science linear-regression logistic-regression machine-learning matplotlib numpy pandas python seaborn

Last synced: 18 Nov 2024

https://github.com/aishwaryagm1999/electric-vehicles-dataset-data-analaysis

Performed Data Cleaning and Data Analysis of the Electric Vehicles Dataset to find the relationship between the features in the dataset and visualized the findings using matplotlib and seaborn.

data-analysis-python data-visualization electric-vehicle feature-analysis matplotlib numpy pandas python seaborn

Last synced: 18 Nov 2024

https://github.com/anuraganalog/navie-bayes

Implemented Gaussian Naive Bayes Classifier from scratch

bayes classifier dataset datasets gaussian guassian-naive-bayes iris multinomial-naive-bayes naive naive-bayes-classifiers numpy py scratch

Last synced: 18 Nov 2024

https://github.com/sweta2501/ml

Consist of ML projects based on Python along with DataSheets

machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn sklearn-model

Last synced: 18 Nov 2024

https://github.com/pythondeveloper6/matplotlib-for-beginners

how to visualize your data using matplotlib

data-analysis matplotlib numpy pandas python visualization

Last synced: 18 Nov 2024

https://github.com/pythondeveloper6/supermarket-eda-seaborn-for-beginners

learn Seaborn basics using a simple EDA

data-analysis eda numpy pandas seaborn visualization

Last synced: 18 Nov 2024

https://github.com/pythondeveloper6/ensemble-learning-beginner-guide

machine learning ensemble learning types in easy steps with examples

bagging-ensemble decision-trees ensemble-learning knn-classification logistic-regression machine-learning numpy random-forest stacking-ensemble svc voting-classifier

Last synced: 18 Nov 2024

https://github.com/aminkhavari78/reinforcementlearning

Try to Implement different Envirnment and RL algorithms

ipython matplotlib numpy pygame pytorch randomsearch reinforcement-learning snake

Last synced: 18 Nov 2024

https://github.com/alefair/ds

Data Science projects

ipython jupyter matplotlib numpy pandas python sklearn

Last synced: 18 Nov 2024

https://github.com/ljadhav25/decision-tree-random-forest-algorithm-data-science-

This repository contains an implementation of decision tree and random forest algorithms from scratch in Python. Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. The goal of this project is to provide a clear and understandable implementation of these algorithms

data-analysis data-science decision-trees machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier

Last synced: 18 Nov 2024

https://github.com/ljadhav25/knn-algorithm-data-science-

This repository contains a project demonstrating the implementation and application of the K-Nearest Neighbors (K-NN) algorithm in Data Science. The objective is to provide a comprehensive understanding of the K-NN algorithm, including data preprocessing, model training, evaluation, and visualization of results. This project is ideal for beginners

data-analysis data-science knn-classification machine-learning matplotlib-pyplot numpy pandas-library seaborn

Last synced: 18 Nov 2024

https://github.com/statute8234/python-task-manager

Rating: (7/10): The Python Task Manager, is a user-friendly interface using tkinter library for system monitoring and management. It displays detailed system process information using psutil, with interactive features.

matplotlib numpy psutil pygetwindow tkinter

Last synced: 18 Nov 2024