shivamkc01 Goto Github PK

followers: 2.0 following: 26.0 repos: 60.0 gists: 5.0

Name: Shivam Chhetry

Type: User

Location: Bangalore, India

Blog: https://shivam11712711.wixsite.com/shivamchhetry

Shivam Chhetry

👋 Hey there! I'm Shivam Chhetry, a Data Science enthusiast with a fervent dedication to machine learning and deep learning exploration.

About Me

💼 Currently on the exciting journey of Data Science, with nearly a year of hands-on experience.
🎓 Graduated with a Bachelor's degree in Computer Applications (BCA), igniting my passion for data-driven insights.
🏆 Active participant on Kaggle, driven by the challenge and the opportunity to learn and grow.
📈 Eager to delve deeper into machine learning and deep learning methodologies, constantly seeking opportunities to expand my skills.
🌐 Discover more about my projects and interests on my personal website shivamchhetry.com.

Connect with Me

📧 Reach out via email at [email protected].
🔗 Let's connect on LinkedIn: [linkedin.com/in/shivamkc01](https://www.linkedin.com/in/your-profile.
🐦 Follow my journey on Kaggle (formerly Kaggle) for updates and insights: [twitter.com/yourhandle](https://twitter.com/yourhandle.

🔗 Connect with me:

Languages and Tools:

Shivam Chhetry's Projects

95.7-malarial_cell_classification_using_cnn

chest-x-ray-images-pneumonia-detection

cnn_architectures_from_scratch_using_papers

covid_vaccinated_in_the_world_progress_june2021

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

data-visualization-master

data_science_advance_resources

data_visualization_on_movies

datascience_glassdoor_project

Repor for the Data science salary prediction of the Data Science portfolio Project

deeplearning-500-questions

detecting-468-face_landmask

ensembling-blending-stacking

exploratory-data-analysis-udemy-dataset-

feature_selection_tips

fetching-data-using-web-scraping

find-the-turkey-in-the-sound-bite

fingers-prediction-using-custom-callback-f1-score-100-

getting-data-from-apis-using-python-for-data-science-project-

handling_imbalanced_dataset

This project is about how you can deal with imbalanced data and which performance metrics' particularly important compared to usual practices with fairly balanced data.

heart-disease-classification-ml

hyperparameters-optimizers

kaggle_-tabular_series_using_lightgbm-kfold

You will predict whether a customer made a claim upon an insurance policy. The ground truth claim is binary valued, but a prediction may be any number from 0.0 to 1.0, representing the probability of a claim. The features in this dataset have been anonymised and may contain missing values.