pushkarravi

AL-ML-PGP

This repository is collection of my coding work done during my PG program in AI & ML

Applied-Deep-Learning-with-Keras

Deep Learning examples with Keras.

Autoencoders

awesome-gcp-certifications

Google Cloud Platform Certification resources.

awesome-human-pose-estimation

A collection of awesome resources in Human Pose estimation.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

MyLearning

Jupyter Notebook files created for learning useful topics

Python

All Algorithms implemented in Python

Python_Tutorials

Python tutorials in both Jupyter Notebook and youtube format.

pushkarravi/ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

pushkarravi/Python

All Algorithms implemented in Python

pushkarravi/AL-ML-PGP

This repository is collection of my coding work done during my PG program in AI & ML

pushkarravi/awesome-gcp-certifications

Google Cloud Platform Certification resources.

pushkarravi/MyLearning

Jupyter Notebook files created for learning useful topics

pushkarravi/awesome-mlops

A curated list of references for MLOps

pushkarravi/awesome-sentiment-analysis

Reading list for Awesome Sentiment Analysis papers

pushkarravi/Complete-Python-3-Bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

pushkarravi/d2l-en

An interactive deep learning book with code, math, and discussions, based on the NumPy interface.

pushkarravi/Data-Science-EBooks

Data Science E-books, Interview Resources and Cheat-sheets

pushkarravi/DataCamp

DataCamp data-science courses

pushkarravi/Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

pushkarravi/deeplearning-models

A collection of various deep learning architectures, models, and tips

pushkarravi/DockerCasts

Companion repo to a course on Udemy.com

pushkarravi/fastai

The fastai deep learning library, plus lessons and tutorials

pushkarravi/fastbook

Draft of the fastai book

pushkarravi/github-profile-summary-cards

A tool to generate your github summary card for profile README

pushkarravi/human-learn

Natural Intelligence is still a pretty good idea.

pushkarravi/Keras-GAN

Keras implementations of Generative Adversarial Networks.

pushkarravi/keras-io

Keras documentation, hosted live at keras.io

pushkarravi/linkedin-skill-assessments-quizzes

Full reference of linkedin answers for skill assessments, linkedin test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-poin, excel ...) ответы на квиз, LinkedIn quiz lösungen, linkedin quiz las respuestas

pushkarravi/Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

pushkarravi/notes

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

pushkarravi/oreilly_math_fundamentals_data_science

pushkarravi/python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

pushkarravi/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pushkarravi/PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

pushkarravi/the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

pushkarravi/tutorials

CatBoost tutorials repository

pushkarravi/Twitter-Sentiment-Analysis-Competition---Analytics-Vidhya

Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.