afghaniiit

Applied-Machine-Learning-in-Python--University-of-Michigan---Coursera

Course materials for the Coursera MOOC: Applied Machine Learning in Python from University of Michigan

applied-machine-learning-in-python

Solutions to the 'Applied Machine Learning In Python' Coursera course exercises

av-practice

Practice Problems on Analytics Vidhya

Big-Mart-Sales-Analysis-in-R

Predicting the sales outcome and the important variables responsible in the prediction using Random Forest Algorithm

Big-Mart-Sales-III

Big Mart Sales III - A hackathon on Analytics Vidhya

block_collide

bouncy bouncy block

Coursera

Quiz & Assignment of Coursera

coursera-Applied-Data-Science-with-Python

Repo for coursera specialization Applied Data Science with Python by University of Michigan

Coursera-Machine-Learning

Coursera Machine Learning - Python code

open-llms

🤖 A list of open LLMs available for commercial use.

Coursera-Machine-Learning-Andrew-NG

This is a repository of my coursera Machine Learning by Standford, Andrew NG course's assignments

coursera_ml

Coursera Machine Learning Matlab Code

CourseraML

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

CRUD_Flask_Demo

Data-Science--Cheat-Sheet

Cheat Sheets

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

DataScienceCoursera-1

Coursera DataScience

Gender-Classification

machine-learning-course

R code for the assignments of Coursera machine learning course

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

ml-class-assignments

Programming Exercises on http://ml-class.org

muffin-cupcake

classifying muffin and cupcake recipes using support vector machines

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nlp-in-practice

NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

nlp-notebooks

A collection of notebooks for Natural Language Processing from NLP Town