Ram Sundar's Projects
Computers are really good at answering questions with single, verifiable answers. But, humans are often still better at answering questions about opinions, recommendations, or personal experiences.
Deploying image classification model to the Heroku Cloud Services
Classification of hindi question into different categories
Provided with tweet data to predict sentiment on electronic products of netizens.
Insurance fraud is an illegal act by either the buyer or seller of an insurance contract. For example, a seller may sell policies from non-existent companies, fail to submit the premiums, and churn policies to earn more commissions.
Sent mail using SMTP,In this you can sent mail to multiple recipient with 500 Mb attachment
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
An integrated library system (ILS), also known as a library management system (LMS), is an enterprise resource planning system for a library, used to track items owned, orders made, bills paid, and patrons who have borrowed.
Welcome to a comprehensive repository delving deep into the realm of machine learning concepts, algorithms, and their mathematical intuition. Whether you're a novice eager to explore or an expert seeking detailed insights, this repository is designed to guide you through the intricate landscape of ML
This repository contains notebooks for all the experiment performed
Demo Project on ML Ops
Natural Language Processing -(Practice Codes and Project Codes) of all the nlp topics.
This repository consist of code that help in predicting the next word in a given sentence
a restaurant chatbot using Rasa bot framework
Practiced Program like image processing, face detection, YOLO, ege detection, contour detection, thresholding, image blusring, and many including projects.
This Repo Help you understand Basic and Deep Understating of Open CV and Deep Learning
It has a great set of features to perform various statistical operations on your data. One of these methods is the describe method, which gives you a compact summary of your data on the terminal or inside your Python notebook.
This repo help us understand three dimensional plots by using widely used visualization tool - Matplotlib
You are provided with daily historical sales data. The task is to forecast the total amount of products sold in every shop for the test set. Note that the list of shops and products slightly changes every month. Creating a robust model that can handle such situations is part of the challenge.
There are 6252 images in train and 2680 images in test data. The categories of ships and their corresponding codes in the dataset
Based on this we are going to train a model and predict if a loan will ... loan amount, loan duration and credit history fields to train our model.
Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs." [IBM Sample Data Sets]
Prediction_of_housing_price advanced regression techniques.
This Repository contains notebooks used for Python Topics
Identify which questions asked on Quora are duplicates of questions that have already been asked.This could be useful to instantly provide answers to questions that have already been answered,predict whether a pair of questions are duplicates or not
Restaurant ChatBot created using Rasa