Koorimikiran369

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Big-Mart-Sales

Boosting-Concepts

Ada Boost classifier and Gradient Boosting

Breast-Cancer-Predictions

Inbuilt Dataset From scikit learn

Cluster-Analysis-for-mall-customers

K-means clustering an Agglomerative clustering

Koorimikiran369

LinearRegression-on-Boston-Dataset

oyo-rooms-project

Project-on-German-AFD-political-party-

How the vote sharing suddenly changes in German AFD political party, what are the main causes to change that sharing percentage for that i find some significant columns which are given in data

Statistics-Notes

iPython NOtebooks on Stats

Koorimikiran369/Koorimikiran369

Koorimikiran369/Statistics-Notes

iPython NOtebooks on Stats

Koorimikiran369/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Koorimikiran369/handcalcs

Python library for converting Python calculations into rendered latex.

Koorimikiran369/Innomatics_Internship

Koorimikiran369/LLM-Finetuning

LLM Finetuning with peft

Koorimikiran369/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

Koorimikiran369/ML-end_to_end_project

Koorimikiran369/Quora-Question-Pairing

Quora Question Pair Similarity Over 100 million people visit Quora every month, so it's no surprise that many people ask similarly worded questions. Multiple questions with the same intent can cause seekers to spend more time finding the best answer to their question, and make writers feel they need to answer multiple versions of the same question. Quora values canonical questions because they provide a better experience to active seekers and writers, and offer more value to both of these groups in the long term. The main aim of the project is to predict whether a pair of questions are similar or not. Problem Statement: Identify which questions asked on Quora are duplicates of questions that have already been asked. Real world/Business Objectives and Constraints: The cost of a mis-classification can be very high. You would want a probability of a pair of questions to be duplicates so that you can choose any threshold of choice. No strict latency concerns. Interpretability is partially important. Tasks to perform: Import the General libraries, NLP module, and Machine learning modules Load the dataset Text Preprocessing: Removing html tags Removing Punctuations Performing stemming Removing Stop words Expanding contractions etc. Apply Tokenization Apply Stemming Apply Pos Tagging Apply Lemmatization Apply label encoding Feature Extraction Apply BOW Apply TFIDF vectorizer Apply Word2Vector vectorizer Apply Glove Data preprocessing Model Building Evaluate the model confusion matrix Classification report Data Overview Data will be in a file Train.csv Train.csv contains 5 columns : qid1, qid2, question1, question2, is_duplicate Size of Train.csv - 60MB Number of rows in Train.csv = 404,290 Mapping the real world problem to an ML problem Datalink: https://drive.google.com/file/d/10QDGTSI5PEV9e7CTpfzsXRpUwRIsJA-J/view?usp=sharing Type of Machine Learning Problem It is a binary classification problem, for a given pair of questions we need to predict if they are duplicate or not.

Koorimikiran369/Satistics_Lectures

Koorimikiran369/Testing-Libraries

Koorimikiran369/webscrping

Koorimikiran369/AB_Testing

A/B Testing — A complete guide to statistical testing

Koorimikiran369/Bank_Response

Koorimikiran369/cowin-vaccination-slot-availability

Script to check the available slots for Covid-19 Vaccination Centers from CoWIN API in India

Koorimikiran369/Deployment

Koorimikiran369/Hackerrank

Solutions to the practice exercises, coding challenges, and other problems on Hackerrank! www.Hackerrank.com

Koorimikiran369/IPL_Score_Prediction_Deployment

Koorimikiran369/jajaj

Koorimikiran369/Koo

Koorimikiran369/lang2sql

Language to SQL Translator

Koorimikiran369/learn-traffic-crashes

Learn Python Data Analytics by Example - Chicago Traffic Crashes

Koorimikiran369/my-website

Koorimikiran369/portfolio

Koorimikiran369/Project

Koorimikiran369/Python

This repository helps you understand python from the scratch.

Koorimikiran369/Python-ajay

Koorimikiran369/TSF-Internship-EDA-Retail

To analyse the SampleSuperstore dataset which contains data about a superstore and the sales done along with some of the factors and their corresponding profits.

Koorimikiran369/webscraping

Koorimikiran369/webscraping-on-cars24