This program analyzes a Twitch dataset and predicts the amount of hours watched on Twitch and analyzes how average viewers, number of streamers, game title, and other independent variables impact hours watched. Conducted regression analysis on dataset and used r-sqaured, RMSE, and MAE to measure performance.

I made software that extracts the RGB Color Histogram values from the image. Those RGB values are leading and worldwide used by designers, artists, professionals, developers, scientists, and color-blinds.

to satisfy requirements for a data-science-focused build applying algorithm portion of CS curriculum

Simple Anime Recommendation system based on user input of anime category. Used Anime Recommendations Database from Kaggle used as main dataset and built recommendation system using Scikit-learn.

This project compares the performance of two regression techniques Lasso and Ridge Regression and predicts salary of basket ball players.

+100 Desafios resolvidos em PYTHON

This project focuses on analyzing the world of anime media: in particular, the objective is to inspect the most beloved anime series between users from Italy and the rest of the world, as well as observing their preferences and dissimilarities. Report and presentation are in italian.

This project is designed to explore and identify emerging patterns in consumer purchasing behavior. Utilizing a combination of sales data, customer feedback, and market research, this project aims to provide valuable insights into the latest trends influencing shopper preferences and decisions.

Exploratory Data Analysis On Sales Data

The project encompasses the building of a data classification and clustering system, followed by EDA - Exploratory Data Analysis, and is concluded with the presentation of the results.

Get started with your data analysis project right away!.

The PhonePe Pulse Data Visualization project in Python extracts, transforms, and stores data from the PhonePe Pulse GitHub repository. It creates an interactive dashboard using Streamlit, Plotly, and other libraries to visualize the data. Users can explore various insights from the data spanning 2018 to 2023.

EDA tool for Data Science & Machine Learning. Quickly inspect your dataset effortlessly with a Graphical User Interface designed to suit your needs.

Implementation of K-Means-Clustering for Un-Supervised Data.

Forest-Fire-Forecasting - Data Science project, predict forest fires

A data science project that scrap the results of the form fours results(CSEE) from the year 2019-2022 and downloading them to the well defined manner.

Some Simple Information About Aparat Videos for DataScientists

My mini-projects for practical learning machine learning course on the Udacity

Various supervised machine learning techniques on the highly optimized NSL-KDD dataset to create an efficient and accurate predictor of possible intrusions on a network.

SQL.AI is an interactive web application built with Streamlit and powered by Google's GenerativeAI. It allows users to interactively retrieve SQL data through natural language queries and predefined SQL commands. The application connects to a SQLite database, executes SQL queries, and provides visualizations of the retrieved data.