Case Studies and Projects in Machine Learning/EDA/DL

Keeping Inventory of spare in various service centre to the market demand is always a challenge as most service centres spends significant amount in spare parts inventory costs. In spite of this, availability of spare parts is been one of the problem areas.

Sales forecasting system prototype w/ dashboard using SARIMAX model

This project analyzes daily Covid-19 data for Indian states using SARIMAX models. It preprocesses data, checks stationarity, applies differencing, analyzes autocorrelation, selects SARIMAX parameters, conducts diagnostics, and forecasts cases. Dynamic forecasting's impact is limited.

Shell_App is an integrated data analysis and modeling platform, featuring scripts for EDA, ensemble techniques, LightGBM, and SARIMAX modeling. Designed for comprehensive data processing, the repository also includes deployment capabilities via Streamlit for interactive model interactions.

implementation forecasting model on thailand co2 emission datasets

Time series analysis and forecasting project based on Walmart Sales Data.

The Project uses a Kaggle Dataset that utilises information of UK's historical inflation rise and predict the inflation rate using SARIMA modelling.

This was a competition hosted by Zindi, about predicting the percent of areas burned by wildfires in Zimbabwe. This project emerged the winner.

Time Series Analysis of Airline Passenger Data, In this time series forecasting, taking data from kaggle site and applying ARIMA and SARIMAX model to evaluate seasional trends of passenger travelling via airlines.

This project aims to analyze and forecast the total funding amounts of startups using various regression and time series modeling techniques. Initially, we preprocess the dataset, which includes features such as funding amounts, company size, and number of funding rounds. The data is then scaled and split into training and testing sets.

Elevating Times Series Forecasting of Cars, Truck Sales in UK for precise and competitive forecasting in diverse industries.

Time series analysis using AR, ARIMA, SARIMAX on monthly Beer production by Austrian company.

Analyzing and predicting the stock prices,multiple machine learning models, including LSTM (Long Short-Term Memory), Prophet, and others

Using time series modeling to forecast the top 3 zipcodes to invest in Washington state.

Demonstration of time series analysis using various concepts and models.

This project delves into the world of craft beer, analyzing and forecasting monthly beer production trends. It utilizes various time series analysis techniques to uncover patterns and predict future production levels.

Predicting orders for Glovo

In this section, we will estimate airline passengers using time series methods.