Always know what to expect from your data.
#计算机科学#In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.
#计算机科学#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 u...
Health care analytics to predict the occurrence of cardio vascular diseases
Illustration on merging of multiple datasets for implementing machine learning algorithms
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-ID...
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.
This repository contains the Jupyter notebooks explaining Exploratory data analysis & Prediction of COVID-19.
Unpretentiously exploring stock prices predictions problem by means of Deep Learning based models
This repo contains EDA(Exploratory Data Analysis) & Feature Engineering projects made with help of Python and their libraries.
#计算机科学#Machine Learning project that analyzed Yelp dataset to train models for recommendations using ALS and generating user rating predictions
Analyzing data from Liquor Sales In Iowa. From Data Cleaning to Data Visualization with Insights.
Explore Titanic dataset to uncover survival insights. Analyze demographics, ticket class, and cabins. Understand factors influencing passenger survival.
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 визуализ...