A predictive model to predict if an applicant is able to repay the lending company or not.

1. Understanding the data
2. Exploratory Data Analysis (EDA)
   i. Univariate Analysis
   ii. Bivariate Analysis
3. Missing value and outlier treatment
4. Feature Engineering
5. Model Building

Every block is secured and connected with each other using hashing technology which protects it from being tempered by an unauthorized person. Every block will contain its own hash and also the hash of the previous function so that it cannot get tampered.

Various operations like Flipping image, Cropping Image, Changing colors of image.

To classify the sentiment of data using NLP and ML.

Fake news classification using NLP and stacked LSTM.

A model that will help us to identify if a piece of given news is fake or real using single layer LSTM.

A predictive model to predict if an applicant is able to repay the lending company or not, using Machine Learning models.