This project aims to compare the performance of Facebook and AdWords advertising campaigns through A/B testing. By analyzing key metrics such as ad views, clicks, conversions, and costs, we seek to identify the most effective platform for optimizing advertising strategies.

Nuclear and Chemical data with Plug-Unplug Systematics [MQ2 MQ3 MQ4 MQ5 MQ6 MQ7 MQ8 MQ9 MQ131 MQ135 MQ136 MQ137 MQ303A MQ309A Geiger Counter] Multi-Purpose that can configure with SQL and PHP, save data, do data science with Python, color scale with Lidar, deep learning with yolov9, objects with Pixy2 and location with GPS system Discovery Vehicle.

This is a self initiated team project with a team of 2 members. Collaborated with Devarasetti Sri Lakshmi Pravalika.

The Wine Quality Analysis project is an AI/ML-based data analysis initiative aimed at predicting and understanding the factors that influence the quality of wine.

Contains my project that analyzes air quality sensor data to determine if the NO (Nitric Oxide) sensor in N. Mai, Los Angeles, CA can be removed without affecting data accuracy.

A basic extension library for creating tree dot plots, strip plots or dot charts w/ matplotlib or seaborn in Python

This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring

This project explains basic ML-Models(KNN, Naive bayes, Logistic Regression, SVM, A neural N/W)

Whatsmybitrate analyzes audio files for quality metrics such as bit rate, frequency, and codec type in bulk. It also generates spectrograms for visual representation of the audio spectrum. It supports a variety of audio formats, including MP3, FLAC, WAV, AAC, M4A, and more.

A simple python application for performing power or inverse transform on an image

Here I used Visualisation libraries like seaborn and matplotlib

Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .

A Python repository for analyzing and visualizing Formula 1 data. Includes tools for race statistics, performance comparisons, and custom visualizations.

In this business case study, we delve into how Netflix harnesses the power of data to drive strategic decision-making and enhance user experience. Netflix, a global leader in streaming entertainment, operates in a highly competitive landscape where understanding audience preferences is paramount.

Everything that I'm uploading here is my learning and practice from python for data science and machine learning course by Jose Portilla.

Inspired by astronaut Rick Husband, this project is a Python-based simulation of the Columbia Space Shuttle's journey to orbit.

Portfolio(Git)

Python Jupyter Notebook parity graphing of Collatz sets

MNIST Using Neural Network project from scratch in jupyter notebook with basic python concepts (Using Numpy and Matplotlib)