The full collection of all codes for my Youtube Channel segregated as per topic.
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Updated
Nov 26, 2023 - Jupyter Notebook
The full collection of all codes for my Youtube Channel segregated as per topic.
Explore my diverse collection of projects showcasing machine learning, data analysis, and more. Organized by project, each directory contains code, datasets, documentation, and resources. Dive in, to discover insights and techniques in data science. Reach out for collaborations and feedback.
A data science project to predict whether a transaction is a fraud or not.
Personal website, Data scientist portfolio template
This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio is updated on the regular basis.
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
100 Python Projects
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
This repository contains jupyter notebook and other resources made by me during learning Data Science
Data Analysis using datasets from Kaggle
OLD PORTFOLIO <> <> <> My personal Website, where I share my blog and project. Build using Nextjs and Tailwind CSS
Data science tutorials and projects
Portfolio including my data science projects for academic, self-learning, and hobby.
Turning salesforce lead, oppty, & sales activities data => Sales predictions using pandas, Scikit-learn, SQLAlchemy, Redshift, XGBoost Classifier
70+ DataCamp Course Notes, Projects, Codes, Exercises on Python, R and SQL with full DS & ML Certification,
Portfolio of all my assignments completed doing master of data analytics from Deakin university. This assignments are completed by me for academic and passing the units.
One of my newest projects is this website which I built from scratch with HTML, CSS, Python and Flask.
Kunj Mehta's Portfolio
📓 [Active] Portafolio of data science projects. Using: Python, PyTorch, Spark, Tensorflow, Scikit, Keras. Includes Classification, Regression, Time series, NLP, Deep learning, among others.
This documentation is like a quick snapshot of my project in the data field, showing off my skills and know-how in this area.
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