ak-ar64's Stars
kunal-kushwaha/DSA-Bootcamp-Java
This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.
BartoszCichecki/LenovoLegionToolkit
Lightweight Lenovo Vantage and Hotkeys replacement for Lenovo Legion laptops.
riti2409/Resources-for-preparation-Of-Placements
Lecture video links for preparation of Placements
ikatsov/tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
in28minutes/MockitoTutorialForBeginners
Mockito Tutorial for Beginners
abhijitjadhav1998/Deepfake_detection_using_deep_learning
This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.
riti2409/All_notes_at_one_place
Shreyas3108/house-price-prediction
Predicting house prices using Linear Regression and GBR
riti2409/Programming_language
Quick links, resources , books for different programming language
riti2409/DataScience_Resources
Resources for Data Science
Shitao-zz/Kaggle-House-Prices-Advanced-Regression-Techniques
Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques
riti2409/React_Resources
Resources-for-React
Viveckh/LilHomie
A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.
PacktPublishing/Java-Concurrency-Multithreading-in-Practice
Java Concurrency & Multithreading in Practice, published by Packt
rahulravindran0108/Boston-House-Price-Prediction
This repository contains files for Udacity's Machine Learning Nanodegree Project: Boston House Price Prediction
silventesa/Scraping
Scraping real estate data on houses and apartments for sale in Belgium.
TechSckoolByVijay/GitHubActions
jameschch/PropertyPrices
Analysis and Machine Learning Prediction of London Property Prices
jucallej/House-Price-Predictor
House price predictor based on the UK land registry data
YashashriShiral/LeadScoring
Lead Scoring Using Logistic Regression
Gautam-J/yuva-feedback
Online Student Teacher Feedback System
sdrahmath/Property-Price-Prediction
The Property Price Prediction Website is a data science project that builds a web application to predict property prices based on property features. Using machine learning techniques like linear regression and scikit-learn, a model is trained with the Bangalore home prices dataset from Kaggle.
Charan2k/CrackYourPlacement
Repo containing all the most asked questions from the big tech companies
VikramMathur3012/House-Price-Prediction
Build a regression model using regularisation in order to predict the actual value of the prospective properties and decide whether to invest in them or not.
BharathwajManoharan/Butterfly_Classification_ResNet50
Pre-Final Year Project II
BharathwajManoharan/Tamil_Handwriting_AI
This repository features my first machine learning project, developed during my second year as a university student. It focuses on recognizing and detecting handwritten Tamil characters using machine learning techniques.
Charan2k/6-Companies-30-Days
moorthy-gif/Web-scraping-using-python-real-estate-data-from-magicbricks-used-for-machine-learning-model
Created a real estate dataset of properties value in Chennai from Magic bricks website
satwikpai11/Chennai-House-Price-Sales-Prediction
Prediction of sale price of houses and properties in Chennai
Thivyeshwar/Pattern-Printing
Pattern printing is critical for developing logic to tackle any data structure or algorithm problems; here is a selection of high-quality pattern problems to assist you in developing logic. If you appreciate this collection of pattern problems consider giving me a star. credits : Striver and Kunal Kushwaha