machinlearning
There are 24 repositories under machinlearning topic.
gsurma/image_tagger
CNN multi-label image classifier 🖼️.
alternbits/ai-topics
Hot topics on AI
serodriguez68/deep-learning-cheatsheet
A summary of the core concepts of deep learning along with some working implementation examples.
sunilghanchi/ghumkkad_ai
Ghumkkad AI is a sophisticated travel recommendation system comprising three distinct engines for hotels, attractions, and restaurants. It generates trip itinerary with all the details, It empowers users to input their preferences, including destination, hotel features, attraction specifics, and restaurant details.
IvanBongiorni/shakespeare-gpt
How to build a custom GPT for text generation, based on TensorFlow 2.x and Maximal. Trained on the Shakespeare corpus.
shagunsharma14/Cardiovasculardisease
Cardiovascular disease (CVD) encompasses heart and blood vessel conditions, leading global cause of mortality. Prevention through lifestyle changes crucial.
yashrajjain726/Carsify-The-Car-Price-Predictor
Carsify is an end to end Machine learning deployed site, which uses certain features to predict the price of the car.
AlinaSz/dw_matrix
Projekt transformacja czyli Matrix
jingwangjw/statistical-learning
Final project for UIUC statistical learning course
kuxall/Digital-Advertisement-Classification
Classify digital ad data from different sources.
m5k5/KaggleCAFAChallenge
Code for the Kaggle Challenge "CAFA 5 Protein Function Prediction"
nikpie/dw_matrix
Projekt transformacja
pareeknikhil/Machine-Learning
This repo contains the implementation of three algorithms Decision Tree, Naive-Bays, and K-Means for three distinct applications
Pieca/first1002
Projekt transformacja, czyli matrix - poznaj reguły gry
Sudarshan1987-alt/FoodSurvey-Analysis
Analysis the raw data captured through a survey for the most frequent food items consumed during Covid
SUGAM2001/Neural-Network-Deep-learning
This repo contains a series of PPT on neural networks.
susmithagudapati/Starbucks-Capstone-Challenge
This project is part of the Udacity Capstone Challenge and the given data set contains simulated data that mimics customer behaviour on the Starbucks rewards mobile app. Once every few days, Starbucks sends out an offer to users of the mobile app. An offer can be merely an advertisement for a drink or an actual offer such as a discount or BOGO (buy one get one free). Some users might not receive any offer during certain weeks. Not all users receive the same offer, and that is the challenge to solve with this data set. The aim of this project is to build a model that predicts whether a customer will respond to an offer.
SyrekGMR/Gradient-Descent-Optimisation
Code used in my master's dissertation project centring around the evaluation of various novel optimisation methods used in machine learning.
Breakinginfinity/SuperStore-DataTime-Series-Forecasting
Superstore Time Series Data Analysis and its prediction for next 4 years using ARIMA model.
FirasAlhashash/Estimating-the-profits-of-companies
Estimating the profit of 1000 companies ML Modell .after R&D Spend, Administration, Marketing Spend and State in USA (linear regression project)
Jeeva-Ganesan/kaggle-BNP-Paribas
Kaggle Competition BNP Pairbas Cardif Claims Management: Rank 133 out of 2,926