Simulate and estimate the trajectories of two balls using particle filters. Includes noisy observations, particle filtering, error calculations, and visualizations. Requires Python, `numpy`, and `matplotlib`.

his project aims to build and evaluate multiple machine learning models for predicting house prices using the House Prices dataset. The models include Linear Regression, Decision Trees, and Support Vector Machines (SVM), with a focus on model selection, tuning, and comparison.

The Recommender-System project is a machine learning-based application designed to predict user preferences and provide personalized recommendations. It leverages various algorithms, such as collaborative filtering and content-based filtering, to analyze user data and suggest relevant items. The project also includes a CI/CD pipeline for automating

The data of different types of wine sales in the 20th century is to be analysed. Both of these data are from the same company but of different wines. As an analyst in the ABC Estate Wines, you are tasked to analyse and forecast Wine Sales in the 20th century.

Football Match Predictor for top leagues

Predicting Walmart Sales and Performing Exploratory Data Analysis

India is one of the countries with the highest air pollution country. Generally, air pollution is assessed by PM value or air quality index value. For my further analysis, I have selected PM-2.5 value to determine the air quality prediction and the India-Bangalore region. Also, the data was collected through web scraping with the help of Beautif…

Improved the accuracy of Bitcoin stock price predictions on ARIMA model by reducing the seasonality factor. Achieved RMSE value of 68.99 after implementation of SARIMAX model to reduce seasonality.

Forecasting Wine Sales of Two Different types of Wine. After thorough Data Analysis, different models have been used and tested such as Exponential Smoothing Models, Regression, Naive Forecast, Simple Average, Moving Average. Stationarity of the data is checked. Automated Version of ARIMA/SARIMA Model built. Comparison of Models.

Simple Linear Regression

Michigan Covid-19 prediction

This repository is dedicated to my participation in Datatalks Mlzoomcamp

Giving a song dataset, thorough exploratory analysis, diverse model construction, and innovative feature engineering to developing predictive models for song scoring.

Global Al Hub - Aygaz Machine Learning

Sweet Lift Taxi collected airport order data. As a Data Scientist, I developed a model to predict taxi orders for the next hour. The goal is to draw more drivers at peak times, targeting an RMSE under 48 on the test set.

Detecting anomaly in SMS sending behaviour of a person by Particle Swarm Optimization

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

Time Series Forecasting - Bus Usage Prediction

UV matrix decompostion using movielens dataset

Numerical Methods: "Life Expectancy & Linear Regression" Group Project - 2nd Semester 2021 - Computer Science, UBA