This was the problem description for our Smart Indian Hackathon entry, but we were unable to compete in the final due to semester exams.

private repository on our hackaton project

data mining and machine learning coursework projects

A Regression project aiming to forecast the expenses of individuals within an insurance company where we could then decide whether to charge them a premium package or not.

Data science essential

An Interactive Dashboard Design for Analyzing the Unemployment Situation Among European Countries

Sales Forecasting with Machine Learning

The purpose of this project is to develop a neural network algorithm to forecast the price of bitcoin over a 10 day period. This is achieved using an LSTM model.

Proyecto AIreySalud. Machine Learning aplicado a calidad del aire. CDMX. SaturdaysAI-LATAM 2020

Walmart, a multinational retail corporation, faces challenges in managing its inventory effectively, leading to issues aligning product supply with varying consumer demand.

Example of a naive forcasting.

Programs showcasing popular machine learning algorithms and data engineering processes as well as quantitative finance modelling.

3 year prediction on time-related data

Algorithmic forecasting of energy consumption

Developing a model that effectively forecasts the unit sales of numerous items across various Favorita stores with precision.

A time series is a series of data points indexed in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data.

Regression analysis is a reliable method of identifying which variables have impact on a topic of interest. The process of performing a regression allows you to confidently determine which factors matter most, which factors can be ignored, and how these factors influence each other. We are using salary data having 4 attributes to predict salarie…

Times Series Analysis : Big pharma Stock Demand forcast with python

📈 📊 I will try different time series prediction methods and compare there performance.