Always know what to expect from your data.

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• Updated Nov 12, 2026
• Python

In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.

python machine-learning clustering sklearn pandas seaborn matplotlib k-means-clustering exploratorydataanalysis

• Updated Nov 11, 2026
• Jupyter Notebook

python science data dplyr shiny h2o datascience randomforest machinelearning flexdashboard loan-default-prediction medicare-data binaryclassification shap exploratorydataanalysis berishvili ggplo2

• Updated Jun 23, 2021

Data Explorer - Profile Report and EDA App

exploratorydataanalysis profile-report

• Updated Apr 4, 2024
• HTML

Инструмент на Python для разведочного анализа данных (EDA) и визуализации, поддерживающий загрузку данных CSV и JSON, с модульной архитектурой ООП. Практическая работа по теме: "Обнаружение и визуализация данных для понимания их сущности" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".

visualization python cqrs csharp analysis messaging verilog data-analysis battery-life matplotlib json-visualization eeg-analysis exploratorydataanalysis profile-report

• Updated Aug 26, 2025

Program that can take in large amounts of .csv files in the same directory and trains a deep learning neural network model based on the best/worst students evaluated by the user. Second program then utilizes the model from the first program to produce a projected report for each individual student inputted.

machine-learning deep-learning algorithms-and-data-structures wordfrequency exploratorydataanalysis tfidfvectorizer

• Updated Nov 18, 2023
• Python

This repository contains the Jupyter notebooks explaining Exploratory data analysis & Prediction of COVID-19.

predictive-analysis prophet exploratorydataanalysis covid19 covid19-pakistan

• Updated May 27, 2020
• Jupyter Notebook

LetsGrowMore DataScience Internship: During this Internship, I have worked on project related to Data Analytics field in which LSTM, Decision Tree, Random Forest and XGboost have been used.

python internship random-forest projects datascience lstm virtual prediction-algorithm forecasting-models stockmarket xgboost-algorithm dataanalytics decisiontreeclassifier jypyternotebook exploratorydataanalysis musicrecommendationsystem letsgrowmore

• Updated Feb 18, 2022
• Jupyter Notebook

excel datavisualization kpis dashbaord exploratorydataanalysis businessinsights

• Updated Jun 12, 2026

Illustration on merging of multiple datasets for implementing machine learning algorithms

machine-learning-algorithms pandas python-3 pandas-library multiple-datasets exploratorydataanalysis

• Updated Aug 27, 2019
• Jupyter Notebook

This repo contains EDA(Exploratory Data Analysis) & Feature Engineering projects made with help of Python and their libraries.

python exploratory-data-analysis jupyter-notebook eda feature-engineering exploratorydataanalysis

• Updated Feb 6, 2024
• HTML

FLIX-HUB is a movie recommendation system utilizing the Netflix dataset. It features comprehensive data preprocessing and analysis, generating personalized movie and TV show suggestions based on TF-IDF vectorization and cosine similarity. The project includes interactive visualizations for insights into content trends and distributions.

python ai numpy scikit-learn plotly jupyter-notebook pandas datascience matplotlib machinelearning tf-idf deeplearning datavisualization dataanalysis cosinesimilarity jupyternotebook exploratorydataanalysis movie-recomendation-system

• Updated Sep 22, 2024
• Jupyter Notebook

Unpretentiously exploring stock prices predictions problem by means of Deep Learning based models

ipynb exploratorydataanalysis deepar-stockpricespredictions sagemaker-notebook-instance

• Updated May 16, 2021
• Jupyter Notebook

This project analyzes 98 years of Academy Awards (Oscars) data to uncover trends, biases, and patterns in the film industry. By leveraging Python, Pandas, and Scikit-learn, it provides insights into: Historical Trends: How award distributions have evolved over time. Category Analysis: Which categories (e.g., Best Picture, Best Actor) dominate the

python eda pandas kaggle datascience randomforest classification machinelearning datavisualization dataanalysis datacleaning oscars jupyternotebook exploratorydataanalysis scikitlearn filmindustry

• Updated May 10, 2026
• Jupyter Notebook

Health care analytics to predict the occurrence of cardio vascular diseases

machinelearning machinelearning-python machinelearningprojects exploratorydataanalysis

• Updated Mar 22, 2023
• HTML

Machine Learning project that analyzed Yelp dataset to train models for recommendations using ALS and generating user rating predictions

machine-learning gcp recommendation-system nlp-machine-learning regression-analysis exploratorydataanalysis

• Updated Oct 19, 2024
• Jupyter Notebook

Analyzing data from Liquor Sales In Iowa. From Data Cleaning to Data Visualization with Insights.

visualization bigquery sql data-visualization exploratorydataanalysis googledatastudio

• Updated Jan 26, 2023

Explore Titanic dataset to uncover survival insights. Analyze demographics, ticket class, and cabins. Understand factors influencing passenger survival.

datavisualization dataanalysis exploratorydataanalysis

• Updated Nov 23, 2023
• Jupyter Notebook