Github Adrijeguha Amazon_ml_challenege_2023 A Team Participation Challenge Where A Solution

GitHub - AdrijeGuha/Amazon_ML_Challenege_2023: A Team-participation Challenge Where A Solution ...

GitHub - AdrijeGuha/Amazon_ML_Challenege_2023: A Team-participation Challenge Where A Solution ... This repository consists of a jupyter notebook that contains the code we submitted under the name of our team, talismanic vaders and with an accuracy of 20.42677, we ranked 290 among 4898 teams. in this hackathon, the goal is to develop a machine learning model that can predict the length dimension of a product. A team participation challenge where a solution is to be built for the given problem statement. amazon ml challenege 2023/amazon ml challenge 2023.ipynb at main · adrijeguha/amazon ml challenege 2023.

GitHub - AdrijeGuha/Amazon_ML_Challenege_2023: A Team-participation Challenge Where A Solution ...

GitHub - AdrijeGuha/Amazon_ML_Challenege_2023: A Team-participation Challenge Where A Solution ... A team participation challenge where a solution is to be built for the given problem statement. adrijeguha/amazon ml challenege 2023. A team participation challenge where a solution is to be built for the given problem statement. amazon ml challenege 2023/submission.csv at main · adrijeguha/amazon ml challenege 2023. Here we first used the knn model as a very preliminary model as compatible with our resources that we could arrange. but knn could produce very good results (64% single model) with these embeddings. This is our code for the hackathon where participants were tasked with developing a machine learning model that can accurately predict the length dimension of a product.

GitHub - Arqamrp/amazon-ML-challenge-2023

GitHub - Arqamrp/amazon-ML-challenge-2023 Here we first used the knn model as a very preliminary model as compatible with our resources that we could arrange. but knn could produce very good results (64% single model) with these embeddings. This is our code for the hackathon where participants were tasked with developing a machine learning model that can accurately predict the length dimension of a product. To participate in this hackathon, you will need to follow these steps: download the dataset from the provided link. train your machine learning model using the train.csv file. predict the length of the products in the test.csv file using your trained model.

GitHub - Viraj-Anand/Amazon-ML-Challenge

GitHub - Viraj-Anand/Amazon-ML-Challenge To participate in this hackathon, you will need to follow these steps: download the dataset from the provided link. train your machine learning model using the train.csv file. predict the length of the products in the test.csv file using your trained model.

Episode 46 | Organizations and Teams | Stop Messy GitHub Permissions Organizations & Teams Explained