My only goal is to gradient boost over myself of yesterday. And to repeat this everyday with an unconquerable spirit.
— Unknown
rakeshsuku Goto Github PK
Name: Rakesh Sukumar
Type: User
Rakesh Sukumar's Projects
amazon-sagemaker-feature-store-end-to-end-workshop
Sagemaker Feature Store Workshop
apm_exercises
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
datasciencecoursera
Repository created for the Data Scientist's Toolbox course in coursera by Johns Hopkins University
datasharing
The Leek group guide to data sharing
exdata_plotting1
Plotting Assignment 1 for Exploratory Data Analysis
fastai
The fastai deep learning library
fastbook
The fastai book, published as Jupyter Notebooks
fastcore
Python supercharged for the fastai library
google-colab-tutorial
Google Colab Tutorial
kaggle_titanic_data_analysis
Kaggle Titanic Data Analysis
langchain
⚡ Building applications with LLMs through composability ⚡
medium-blog
Code files for my medium blog
ml_incubator_project
Repository created for ML Incubator Project
mylearner
My custom Pytorch learner
mystreamlittutorials
nbdev_doc_viewer
A documentation viewer for any repository built using nbdev
nbdev_trial
My nbdev trial repository
programmingassignment2
Repository for Programming Assignment 2 for R Programming on Coursera
rakeshsuku
About me
sampleproj
A sample project reimplementing "MinimalExample" in nbdev tutorial.
scaledyolov4
scikit-learn
scikit-learn: machine learning in Python
statistical-learning-practice-codes
Practice codes for the course Statistical Learning by Stanford Online
tensorflow_tutorials
Code for TF tutorials (CS20SI and CS224N)
thinkstats2
Text and supporting code for Think Stats, 2nd Edition
toxic
Toxic Comment Classification Challenge
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