🧪📈 🐍. The purpose of the panel-chemistry project is to make it really easy for you to do DATA ANALYSIS and build powerful DATA AND VIZ APPLICATIONS within the domain of Chemistry using using Python and HoloViz Panel.

This projects detect Anomalous Behavior through live CCTV camera feed to alert the police or local authority for faster response time. We are using Spatio Temporal AutoEncoder and more importantly three models from Keras ie; Convolutional 3D, Convolutional 2D LSTM and Convolutional 3D Transpose. 👮‍♂️👮‍♀️📹🔍🔫⚖

A Predictive Model for Marketing Campaigns

this is my version of creating a cluster and decision tree on FIFA Dataset

A simple CLIP based project for combining images from multiple datasets.

Machine Learning Project on Imbalanced Data in R

Walmart Store Sales Forecasting

Collection of all my Kaggle Notebooks

This is an exoplanet classifier for the final project of the AIN212 data science course. Publicly accessible data from NASA's exoplanet archive was used in the training and testing of this classification model.

"Predicting a Greener Future 🌾📊 Delve into the world of agriculture and data science with our Yield Prediction project. We harness machine learning and weather data to forecast crop yields accurately. Join us in cultivating smarter farming practices for a sustainable tomorrow."

Análise de Dados sobre índices de Depressão e seus fatores determinantes.

This notebook analyzes Nobel Prize data from 1901 to 2016, exploring factors such as gender, nationality, age, and repeat laureates. It examines trends and patterns, revealing insights about the Nobel Prize's evolution over time, including the dominance of the United States and the representation of women in different prize categories.

It consists of the steps followed in a data science project

My solution for Kaggle NYC Taxi Fare Prediction ( ranked 21st/1463)

Study about recorded properties transactions in France

This repository is demonstration of Pandas library of Python's super powers.

Engaged in a collaborative effort with a company seeking to implement machine learning for forecasting purposes. Employed Time Series Analysis using data spanning 2019 to 2023, evaluating three distinct models. The model with the optimal error score was selected to project values for 2024.

This project was a part of my tasks during my internship at Stir Research. The project consisted of various data exploratory analysis and data visualizations to be carried out on the given data by the company. 📈📉📊📋📚⚔🔬⚒🛠⚙⛏🔧