balaji2v Goto Github PK

10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

100daysofmlcode

aiops

deployment

handson-ml2

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.

inceptez

inceptez_batch19

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

linear-vs-non-linear

For the notebook related to the paper with Peter van der Putten, Benjamin Strang and Frank Hutter

machine-learning-projects

Machine Learning Experiments and Work

mlops

Modular and minimalistic MLOps recipes

mlopspython

MLOps using Azure ML Services and Azure DevOps

nlp-image-to-text

code to extract text from images

pseudo-labelling---a-semi-supervised-learning-technique

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

recommendation_service

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

ted_dataset

this is the repo for TED dataset

tensorflow-in-practise-specialization

Four Courses Specialization Tensorflow in practise Specialization

tensorflow-livelessons

"Deep Learning with TensorFlow" LiveLessons

tensorflow2.0

Learning

text-summarizer

Understand Text Summarization and create your own summarizer in python

tfexamtest

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow