Varun-N-M's repositories
Amazon_category_prediction_deep_learning
This is a machine learning project that aims to predict the category of products sold on Amazon based on their product titles. The project includes a Jupyter notebook that walks through the entire process of data cleaning, feature engineering, model training, and evaluation.
Data_analsis_credit_card
This project contains data in multiple csv files like customer details, their spending details, their repayment details with which multiple analysis is to be done according to question asked.
Data_extraction_and_visualization
This is a case study of a hotel data over the years. Data was provided by clients in excel format. This project is to provide information regarding requirements of stakeholders.
Drug_category_prediction_ML_model
This dataset contains information about drug classification based on patient general information and its diagnosis. Machine learning model is needed in order to predict the outcome of the drugs type that might be suitable for the patient.
Loan_approval_prediction_ML_model
The convenient loan experience, however, has to be balanced against the fact that the company does charge an origination fee. This is a case study for a company that wants a model developed which will help the agents to visit the right customer looking at the prediction that the model would make depending on the given data fields.
Model-deploment-Drug-prediction
This repository is for deployment part of https://github.com/Varun-N-M/Drug_category_prediction
Songs-recommendation_using_NMF
This is a machine learning project that aims to recommend songs to users based on their listening history and rating. Non-negative Matrix Factorization (NMF) is used for song recommendation.
strength-of-concrete_using_ML_models
Machine learning model which can predict the strength of a mixture for given composition of ingredients like cement, slag, ash, water, superplastic, coarse aggregates, fine aggregates, age.
Superstore_data_visualization_Tableau
Superstore is an Indian retail store which has multiple branches in different states and cities. This project is to visualize data provided by the client to help them make decision regarding profits/losses, product popularity etc.
UBER_raw_data_visualization_Tableau
This is a Data visualization project for uber raw data. ie data contains information regarding pickup location's latitude and longitude, date and time and the base through which it was accessed.
Heart_disease_prediction
Using ml model to predict if a patient would get cardiovascular disease in a span of 10 years
HR_data_visualization_Tableau
Client has reputed company in US. HR of that company wants to analyse the data on employees working in different department of company.
Insurance-amount-prediction
Machine learning model to predict insurance claimed by different clients based on different independent variables.
Mobile_manufacturer_data_analysis_using_SQL
This is a data analysis project for a mobile manufacturer which contains various information regarding customer information, manufacturer information, model information etc. using SSMS
Sentiment_analysis-tensorflow
Simple deep learning model for cleaning text data and building model to predict sentiment using tensorflow.
SMS-categorization
Using Naive-Bayes algoritm to predict if a message is spam or not using count vectorizers
weather-app-js
Responsive weather app with 5 days forecasting using html css and vanilla javascript