My Solutions to 120 commonly asked data science interview questions.

A ML Model That Predict The Percentage of Winning for Each Blue And Red Team in League of Legends

Using past Sport (Cricket) data to predict next win for Team India, in any format of the cricket.

A project that uses ARIMA and LSTM models to predict future outcomes based on historical data.

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_

This repository contains the Tasks of Data science /Deep Learning/Machine Learning Projects offered by Bharat Intern

CryptoPhi Assets effortlessly monitor and calculate live changes in cryptocurrency values, ensuring they stay informed and make timely decisions.

Leveraging advanced machine learning algorithms, the app analyzes various factors such as distance, traffic conditions, time of day, and location to predict the cost of a taxi ride before it begins.

Artifical Intelligence Model using Machine learning Algorithm to predict the ICO ( Cryptocurrencies ) offerings for Fundraising teams and Startups

Performed Predictive Analysis using supervised ML algorithm "Decision Tree" on the customer data to predict if a particular cosmetic item will be sold or not based upon the factors respectively

Predecitve model for Stock Return forecast (future prediction) for FTS100 Tech-Mark Series (top technical firms) in UK listed on London Stock Exchange

Predecitve model for Stock Return forecast (future prediction) for top technical firms in UK listed on London Stock Exchange

Predicting whether the customer will subscribe to Term Deposits through Machine Learning Algorithms by R.

Stockwise is a cutting-edge web application designed for efficient inventory management through advanced demand forecasting techniques. This project addresses the critical challenges organizations face in predicting demand, managing stock levels, and ensuring customer satisfaction.

hr attrition using supervised learning

Leveraging Microsoft AZURE Services , DEVELOPING a high performance ETL pipeline that extracts and transform the BikeStores data and loads it to Azure data warehouse

Linear regression and prediction for website

Study and analyze the ADS and ADAS Level 2 collision and summarize the trends.

We are analyzing how different factors affect students' overall academic performance as measured by the performance index. Correlation Analysis, Predictive Modeling, Statistical Analysis and Visualization.

Classification-Model-to-Identify-Multiple-Disease