LAxY's Projects
This repo consists of aditya verma youtube channel code for different section.
π A content based recommendation system to recommend similar clothing based on data from Amazon
Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
π Sentiment Analysis of Food Reviews
Sentiment Analysis of Food Reviews
Applied classification techniques on amazon food reviews dataset available in kaggle. Firstly analyzed the data, cleaned it by performing preprocessing techniques and then applied algorithms like KNN, NaΓ―ve Bayes, Logistic Regression, SVM, Random Forest, GBDT, Stochastic gradient descent Regressor, K-Means to classify whether the review is positive or negative so that in future without knowing the actual class the reviews can be classified into one of the classes.
Machine Learning Course
This repo contains the Applied Ai Course Assignments and Notes.
π Repository contains a list of most asked DSA interview questions from popular websites LeetCode , Geeks for Geeks ,InterviewBit and from Various other popular DSA sheets
This repo contains links of resources, theory subjects content and DSA questions & their solution for interview preparation from different websites like geeksforgeeks, leetcode, etc.
This repository contains notes related to Data Structures & Algorithms, some of which are inspired by Kunal Kushwaha & Community Classroom!
πThis repository consists of solutions to various problems and concepts of Data Structures and Algorithms in Python3 stored in a structured manner.π¨βπ»
Contains questions according to the popular coding patterns
πΎ A spring Boot project that allows users to Add ,Delete and Update employees.
A curated List of Coding Questions Asked in FAANG Interviews
FACEBOOK LINK PREDICTION USING GRAPH MINING
πΏ End Semester Project on Binary Classification problem,Where for a given News corpus I had to predict if the News article is Fake or Real.
Build and deploy an end to end machine learning app π΅
A Django webapp that detects fake news with Machine Learning.
Fake news detector based on machine learning
Flask & Python - Fake news prediction using Machine Learning algorithms and Flask Framework.
An End to End Machine Learning application for detecting fake news, built model using Passive aggressive classfier and integrated with Flask for web application and deployed in Heroku platform.
π» In this challenge we are given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph).
This repository contains coding notes for interview prepration