akash2262

A-Study-On-Statistical-Techniques-For-Credit-Scoring

This project aims to build a credit scorecard using machine learning techniques in Python. The credit scorecard is a common industry problem used to assess the credibility of a customer for various financial services, including credit cards, loans, and other financial products.

ABC-Call-Volume-Trend-Analysis

The attached dataset is of Inbound calls of an ABC company from the insurance category consists of a Customer Experience (CX) Inbound calling team for 23 days. Data includes Agent_Name, Agent_ID, Queue_Time, Time, Time_Bucket , Duration [duration for which a customer and executives are on call, Call Seconds , call status .

Bank_Loan_Case_Study

In this case study, apart from applying the techniques that you have learnt in the EDA module, you will also develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.

Hiring-Process-Analysis

Hiring process is the fundamental and the most important function of a company. Here, the MNCs get to know about the major underlying trends about the hiring process.

House-Price-Prediction-Using-Decision-Tree-Random-Forest

, I'll train decision trees and random forests to predict the price of a house using information like its location, area, no. of rooms etc. I'll use the dataset from the House Prices - Advanced Regression Techniques competition on Kaggle.

insurance_persistancy_prediction_final

1. Problem Description: Prepare a Machine Learning Model to predict the Persistency 13M Payment Behaviour at the New Business stage. ## 2. Objective: Using Machine Learning techniques, provide scores for each policy at the New Business stage the likelihood to pay the 13M premium.

Medical-Insurance-Cost-Prediction

To predict things have been never so easy. I used to wonder how Insurance amount is charged normally. So, in the mean time I came across this dataset and thought of working on it! Using this I wanted to know how few features determine our insurance amount!

Operation-Analytics-Investigating-Metric-Spikes

Operation Analytics is the analysis done for the complete end to end operations of a company. With the help of this, the company then finds the areas on which it must improve upon.

Optimal-Product-Price-Determination

Telco-Customer-Churn

akash2262/Medical-Insurance-Cost-Prediction

To predict things have been never so easy. I used to wonder how Insurance amount is charged normally. So, in the mean time I came across this dataset and thought of working on it! Using this I wanted to know how few features determine our insurance amount!

akash2262/House-Price-Prediction-Using-Decision-Tree-Random-Forest

, I'll train decision trees and random forests to predict the price of a house using information like its location, area, no. of rooms etc. I'll use the dataset from the House Prices - Advanced Regression Techniques competition on Kaggle.

akash2262/P5-Regression-Analysis_-In-Depth

Here we have applied in depth regression analysis using life expectancy data and cloud seeding data set .

akash2262/WineDataAnalysis

I have analysed world's best wine reviews dataset & came up with factors and showed the meaningful relationships between attributes for development of wine industry.

akash2262/Cultivation-Of-Tea-Coffee-In-India

I have studied the trends of these variables have been studied & different time series models, methods (moving average, trend curve fitting) have been made. I got the study variable and also the predicting equation which will help to do forecasting of any year.

akash2262/House-Price-Prediction-Using-Linear-Regression-

I'm going to predict the price of a house using information like its location, area, no. of rooms etc. I'll use the dataset from the House Prices - Advanced Regression Techniques competition on Kaggle.

akash2262/P-7_-python-data-structures-boolean

akash2262/P1-Regression-Analysis

Linear Regression, Polynomial Regression , Multiple Regression On Salary ,Cars And 50 start ups Data Set . Dummy Variable Encoding Is Also Here.

akash2262/P2-Decision-Tree

Decision Tree Algorithm

akash2262/P3-K-means-Clustering-On-Mall-Data-Set

Applying EDA & K-means Clustering On Mall Dataset

akash2262/P4_K-MEANS_CLUSTERING-ON-WINE-CLUSTWERING-DATASET

worked with wine clustering dataset here . Performed EDA , principal component analysis , K-means clustering

akash2262/P6-heteroskedasticity-checking

Here I have checked and removed for heteroskedasticity .

akash2262/Temparature-Prediction-of-4-Indian-Cities

Studied the trend and seasonality of weather temperature from a spatio-temporal perspective. Then fitted with efficient time-series models for predicting the future temperature & forecasted the temperature of 2022 by using the fitted model.