Bala Chandra M's repositories
Flight-Price-Prediction-Data-Science-Projects
Flight Price Prediction is a machine learning-based project that predicts the cost of a flight based on the user's desired travel details. The project uses a variety of features, such as the source airport, destination airport, date of Journey, and number of stops, to train a model that can predict the future price of a flight.
Foreign-Exchange-Rate-Time-Series-Data-science-Project
This project will use time series analysis to forecast the exchange rate between the euro and the US dollar. The project will use a variety of statistical techniques, such as ARIMA to model the data and forecast the exchange rate.
Price-Prediction-for-Used-Cars-Datascience-Project
This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.
Boston-House-Price-Prediction-Datascience-Project
The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.
Cancer-Prediction-data-science-projects
The Cancer Prediction and Classification project aims to develop a Machine Learning based system for the prediction of the diagnosis of the cancer.
Churn-Classification-Datascience-Project
This is a Machine Learning project that predicts whether a customer will stop using the product or service(churn) based on their historical data provided by the Bank.
Mall-Customers-Clustering-DataScience-Projects
In this project, we analyze a dataset of mall customers to understand their characteristics, preferences, and behaviors. By applying data analysis techniques and clustering algorithms, we aim to identify customer segments based on their shopping patterns and Annual Income
PeerLoanKart-Loan-Fraud-Detection-Datascience-Project
This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.
Power-BI-Visualization-Project
This repository contains Visualization Projects which is visualized through Power BI Software, by using the visualization we can gain multiple insights and strategies which helps to develop the business for gaining high profit margins and by the insights we can reduce the damages by accidents & calamities.
Rafik-s-Kitchen-Data-Analysis
The Project is about the Analysis of the Sales and Expenses Data of a Famous Fast-food Restaurant. This mainly focuses on gaining Insights that will boost the Future Sales and also Business Strategies it Improve the Profit Margins. Handled Tools are SQL, Python, Power BI, MS Office Tools.
Sales-Forecasting-Datascience-Project
Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.
SQL-Projects
The repository contains Structured Query Language (SQL) Scripts. The Multiple SQL scripts for various projects which includes data cleaning, data pre-processing, data processing, data transformation and insights gaining through Query Language.
Tableau-Visualization-Viz.-Project
This repository contains Visualization Projects which is visualized through Tableau Software, by using the visualization we can gain multiple insights and strategies which helps to develop the business for gaining high profit margins and also it provides social values in some cases to calculate damages and intensity by calamities.
Zomato-Ratings-Prediction-Data-Science-Project
The Zomato Rating Prediction project aims to develop a Machine Learning based system for the prediction of rating for the restaurants
Churn-Prediction-using-PCA-DataScience-project
This project predicts customer churn in a bank using Principal Component Analysis (PCA). This can be helpful for churn prediction, as it can help to identify the most important features that contribute to customer churn.
Loan-Classification-Data-science-Projects
This project uses machine learning algorithms to predict the classification of loan status. The dataset is loaded and some transformation is done using SQL for getting a proper dataset with some valid informations.
Loan-Clustering-Datascience-Projects
This project uses Machine Learning to Cluster loan together based on their similarities. The project uses a dataeset of loan application which includes information about the Loan amount and Balance. The project then use the clustering algorithm to group the loan together based on the similarities.
Milk-Production-Time-Series-Forecasting-Datascience-Project
This project uses time series forecasting to predict future milk production. The data used in this project is monthly milk production data from January 1962 to December 1975. The ARIMA (autoregressive integrated moving average) model is used to forecast the milk production. The model is evaluated using various metric.
Titanic-Survived-Prediction-DataScience-Classification-Project
This projects predicts whether a passenger on the titanic survived or not using machine learning algorithms with the given details of the passenger data.
Wine-Customer-Segment-Classification-Using-LDA-Data-Science-Projects
This project is to classify the Customers who prefers three types of wine and by using Linear Discriminant Analysis(LDA) after reducing the dimensions we can able to classify the Customers into 3 segments based on their preference.