Closed Soumya-Kushwaha closed 1 year ago
Hii @Rakesh9100 , i am GSSOC'23 contributor i am willing to work on this issue i gonna work on boston house pricing dataset and also on titanic dataset for different models to check their accuracy. so please assign this to me
Hello @Soumya-Kushwaha I would like to contribute to this issue. I just finished working for Fake News classification. Since the project concerns with Drug classification, I would use this Kaggle dataset (https://www.kaggle.com/datasets/prathamtripathi/drug-classification). The Dataset would be effective in evaluating the results. I will also check for generalization of the model.
It would be great if you would assign it to me.
Hi, I'm excited about the ML Project Drug Review Dataset's aim to analyze drug effectiveness using patient reviews. I have experience in developing ML models for similar tasks and would like to explore alternative models (e.g., KNN, Decision Tree Classifier, Random Forest) on the dataset. I would be grateful if you could assign this task to me. Looking forward to collaborating.
Hi i am kaggle expert. I have experience in developing ML models for similar tasks . I want to work on this issue. Please assign me.
Hello @Rakesh9100 I love to solve this issue. I have worked on different machine learning models . Please assign this to me.
I am GSSOC 23 contributor assign this to me i want to work on this
@Soumya-Kushwaha Assigning you, Go ahead Remember similar issues are already been opened before but still if you want you can try, the one which will be good will be merged.
Could you please assign me this as a GSSOC Contributor.
Hi, @Rakesh9100 I would like to contribute. Please assign the task to me under GSSOC'23.
@Soumya-Kushwaha Provide the update pls
@Rakesh9100 I'll make the PR today!
@tushtithakur Do you want to work
@Rakesh9100 Sure..I would like to contribute..
Pls tell in brief the work you will do @tushtithakur
@Rakesh9100 Thank you for considering me for exploring alternative machine learning models on the dataset. I am eager to incorporate models like SVM, KNN, Decision Tree Classifier, and Random Forest. I will evaluate their performance using accuracy, precision, etc. Through careful analysis, I will provide insights into the strengths and weaknesses of each model.
The algorithms you specifies are already been applied @tushtithakur
@Rakesh9100, thank you for your suggestion. Building upon the existing models applied, I will further expand the analysis by incorporating additional machine-learning models into the code. In addition to the previously mentioned models like SVM, KNN, Decision Tree Classifier, and Random Forest, I will include Gradient Boosting, XGBoost, LightGBM, Naive Bayes, AdaBoost, and SVM. By incorporating these various algorithms, we can explore their strengths and weaknesses in the context of the dataset.
Okay pls proceed @tushtithakur
Update pls @tushtithakur
Hi, @Rakesh9100 I would like to contribute. Please assign the task to me under GSSOC'23.
Right now I'm working on the CIFAR10 dataset using KNN, SVM, and PCA. I think I'll be able to solve this issue.
@Rakesh9100 I'll make the PR by tomorrow.
@Pradhyumna789 Do you want to be assigned?
can I do this? @Rakesh9100
Pls complete your assigned issue first and then will assign you this @karthikbhandary2
ok @Rakesh9100
Do you want to be assigned? @karthikbhandary2
yes @Rakesh9100
Hello @karthikbhandary2, This issue has been assigned to you 🙌. You can start working on it.
Thanks for the assign!
Update of your work @karthikbhandary2
Almost done @Rakesh9100 I will be creating a PR shortly!
👋 @Soumya-Kushwaha This issue is closed. Thank You!!
Prerequisites
Description
Add alternative models such as SVM, KNN etc. and try results
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