Anirban Sarkar's repositories
Online_Student_forum_website
It is an online application developed as a part of our diploma project for performing online registration and quiz sessions.
Red_Wine_Quality
Use of machine learning to determine which physiochemical properties make a wine of 'good' quality!
TSA_Stock_Crypto_Price_Prediction
This repo is about methods and techniques to predict stock prices
anirbansarkar823
Config files for my GitHub profile.
Breast_Cancer_Prediction
The processes for deploying a ML end-to-end project on Heroku. Heroku is the first cloud platform as a service (PaaS)
BuildingNeuralNetworks
This repo we will dive into the basic building blocks of Neural Networks
Car_Price_Prediction
to predict the selling price of cars to be sold
CNN_Learning
Repo to club up all my CNN Learning and Projects
COVID-19-Analysis
This repository is about my data science use cases around covid 19 datasets
CustomerAnalytics
Solving real life use cases on customer related Analytical problems using Data science tools and techniques.
DataScience_Tutorials
This repository is about my learnings from Internet available materials
Fake_News_Prediction
Based on Kaggle dataset for Fake News Detection
HackerEarth_ML_Challenges
Various Use Cases of Data Science application to solve Real Life problems
House_Price_Prediction
Boston House Price Dataset
Information_Retrieval_doc_txt_pdf
This project was done in jsp, basically the backend part of web application, aiming to rank documents (.txt, .pdf, .doc) based on the tf-idf algorithm
Loan_Status_Prediction
Automating loan eligibility process (real time) based on customer details provided while filling online application form
NptelPythonForDataScience
The course work and use cases from NPTEL course named Python for Data Science
Sentiment-Analysis
This is a project that I am working on to learn NLP on text data
svm-data-analysis
Smart Village Movement: Data Analysis
Telecom_Churn_Predection
Predicting churn in customers of a telecom service subscriber
Tomato_Leaf_Disease_Prediction
Tomato leaf disease prediction using deep learning via kaggle data set. This project is an end-to-end implementation using flask.