Name: NATARAJAN LALGUDI
Type: User
Company: Marketing Mix Interventions
Bio: Consumer Researcher turned Data Science and ML Nerd. Passionate about all things Modeling and Kaggle related. Classical ML, NLP and now discovering CV.
Location: Bengaluru, Karnataka, India
Blog: https://github.com/NatarajanLalgudi
NATARAJAN LALGUDI's Projects
Code repo of my YouTube course on Deep Learning
Anaconda issue tracking
Dataset for ARIMA forecasting
:memo: An awesome Data Science repository to learn and apply for real world problems.
:exclamation: This is a read-only mirror of the CRAN R package repository. C50 — C5.0 Decision Trees and Rule-Based Models. Homepage: https://topepo.github.io/C5.0 Report bugs for this package: https://github.com/topepo/C5.0/issues
Repository for MLOPs Course by CampusX
:exclamation: This is a read-only mirror of the CRAN R package repository. caret — Classification and Regression Training. Homepage: https://github.com/topepo/caret/ Report bugs for this package: https://github.com/topepo/caret/issues
:game_die: CLI to solve combinatoric chess puzzles.
Given a URL, parse the content at that URL and generate a reference in Chicago Manual of Style (CMS) format.
Course Files for Complete Python 3 Bootcamp Course on Udemy
Notes for Udemy course on Machine Learning A-Z
A Code-First Introduction to NLP course
Kaggle Python docker image
https://www.kaggle.com/competitions/dog-breed-identification/
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
1st Edition of Elegant SciPy (O'Reilly Publishers)
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
Extract and Visualize the Results of Multivariate Data Analyses
Repository for MLOPs Course Assignment by CampusX
AV and MH Hackathons
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Repo for various image segmentation projects
Source code for 'Introduction to Deep Learning Using R' by Taweh Beysolow II
Notebooks and code for the book "Introduction to Machine Learning with Python"
An Introduction to Statistical Learning with Applications in R
Student Solutions to An Introduction to Statistical Learning with Applications in R
R Code for ISLR book