Atul Kumar Sharma's repositories
Logistic-Regression
This project is about solving a bank problem who is looking to identify the customers into two groups high net worth and low net worth. I have used logistic regression to solve this problem.
SAS-fundamentals
Hello world! This series is for anyone who is willing to learn fundamentals of SAS. All the best.
-Functional-Form-Misspecification
This tutorial will cover the topic of Functional Form Misspecification using Stata.
Banking
This project is the part of my certification and involve live data. In this project, I used the past data with customers characteristics to predict if a bank customer will subscribe to the new term deposit plan or not.
HR-Dataset
In this project we used the random forest technique after clearing the dataset to predict which employee will leave the organisatino prematurely based on specific features.
Introduction-to-Deep-Learning-with-Keras
This post is about Keras, one of the frameworks that make it easier to start developing deep learning models, and is versatile enough to build industry-ready models in no time.
IRIS-data-set-
Here I have applied k-Nearest Neighbor algorithm in R on Iris dataset in order to classify correct type of Iris flowers into future.
Real-Estate
This project is the part of my certification and involve live data. In this project, I used the past data on housing prices with characteristics of real estate to predict future prices. I used linear regression to solve this problem. Attached are the reproducible codes and the datasets. Happy learning :)
Time-Series
This series covers SES, DES and TES techniques we use in time series.
Missing-Values
This post contains the practical exercise I performed for understanding how to impute missing value on air quality dataset in R. The codes are reproducible.
Univariate-Statistics-in--SAS
This post will explain how can we summarize datasets quickly, efficiently and sensibly using Univariate Statistics